This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

How small businesses can leverage AI

From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. Large companies can hire experts to handle these tasks, but small businesses don’t always have that luxury.

That’s where AI comes in. Today’s models can already take on a range of basic administrative work, from organizing notes and summarizing meetings to invoicing, goal-setting, and social media planning. Find out how small-business owners can put AI to work.

—Peter Hall

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox, sign up here.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Anthropic has confidentially filed for IPO ahead of OpenAI
It aims to go public as early as this fall. (CNN)
+ The company did not disclose its target valuation. (Guardian)
+ It’s expected to list shortly after a trillion-dollar IPO by SpaceX. (BBC)
+ Beating OpenAI in the IPO race could have a big impact. (WSJ $)

2 The EU may exclude US cloud giants from critical contracts
The likes of Amazon, Microsoft, and Google could be shut out. (Reuters $)
+ The EU aims to reduce its dependence on US tech. (FT $)
+ Trump supercharged this sovereignty push. (Politico $)

3 Florida has become the first state to sue OpenAI
The lawsuit targets ChatGPT’s alleged child safety risks. (NPR)
 + Florida says OpenAI put profit ahead of safety. (Reuters $)
+ Chatbots are now starting to check user ages. (MIT Technology Review)

4 Hackers stole Instagram accounts just by asking Meta AI for them
They easily broke into a host of celebrity profiles. (404 Media)
+ The exploit shows the risk of offloading support to AI. (TechCrunch)
+ AI is making online crimes easier. (MIT Technology Review)

5 Chinese universities with military ties are seeking Nvidia chips
Two are blacklisted by the US Commerce Department. (Bloomberg $)
+ The Chinese military has sought restricted Nvidia chips for years. (NYT $)
+ US senators have slammed a loophole in chip export rules. (Reuters $)

6 Blue Origin and NASA disagree on a crucial rocket’s next flight
+ Blue Origin says the rocket will fly again this year. (Engadget)+ But NASA is less optimistic. (CNBC)+ The rocket’s failure cast doubt on NASA’s moon plans. (BBC)

7 Moderna has won funding to develop an Ebola mRNA vaccine
The CEPI has pledged over $60 million to the effort. (Ars Technica)
+ To fight an outbreak raging out of control. (MIT Technology Review)

8 China is using AI to predict future political dissent
A company called Geedge Networks is developing the tech. (NYT $)

9 Geoengineering can thicken Arctic ice, but melt results are mixed
Trials show the tech has had a limited impact. (New Scientist $)

10 Top AI labs are expanding research into machine ‘consciousness’
Meta, Anthropic, and DeepMind are increasing their investments. (FT $)
+ A new tool could show how consciousness works. (MIT Technology Review)

Quote of the day

“Sam Altman and ChatGPT have chosen the AI race over the safety and security of our kids. They have chosen profit over public safety, and we’re not going to stand for it in here in Florida.” 

—Florida Attorney General James Uthmeier tells reporters why his state is suing OpenAI, the LA Times reports.

One More Thing

Why the sci-fi dream of cryonics never died

Cryonics is best known for its appearance in sci-fi films like 2001: A Space Odyssey. But its adherents have held on to a dream that advances in medicine will one day allow for resuscitation and additional years on Earth.

Around 500 people are preserved in liquid nitrogen globally, while another 4,000 are on waiting lists. Despite scant evidence that cryonics can work, believers remain optimistic that future science could eventually revive them.

Discover why the hope of human reanimation refuses to die.

—Laurie Clarke

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Hear Dolly Parton reimagined through this spot-on Dire Straits-style cover of “Jolene”.
+ Find out which birds people search for most in this interactive visualization of bird popularity.
+ Explore thousands of Q&As between students and astronauts on the ISS at this interactive site.
+ Paris’s oldest bridge disappeared beneath a giant inflatable cave in this surreal public art installation.

The global health care sector is under increasing strain. 

Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it’s getting worse. The World Health Organization has warned that current shortfalls will increase to 11 million workers by 2030. 

In their urgent hunt for a solution, many health-care providers are now pinning their hopes on agentic AI, with more than two-thirds (68%) having already adopted AI agents into their workforce, according to KPMG. 

The technology is being deployed to automate complex back-office processes, collaborate with medical teams, and even triage patients, all in a bid to reduce the cognitive load on clinicians and improve quality of care for patients as the supply of human health-care workers dwindles.

A different type of digitalization 

Until now, the benefits of digitalization within health care have been limited. 

Many staff have blamed slow or outdated technology for adding to the administrative burden rather than alleviating it. For example, U.S. patient data was migrated to electronic health records (EHRs) in the early 2000s, but this data remains fragmented and reliant on manual inputs. 

New telehealth services and digital care tools, like remote monitors, have had similar shortcomings, says Ashis Barad, MD, chief digital and technology officer at Hospital for Special Surgery (HSS), an academic medical center in New York that focuses on musculoskeletal health. Both technologies have helped improve access to health care by removing geographical barriers, he says, but they’ve failed to replicate the quality of in-person care or win trust from patients. 

Agentic AI is different from these existing technologies, he insists. 

Rather than relying on manual inputs or defaulting to human workers for any case that sits slightly outside a rigid framework, AI agents can handle nuanced, complex scenarios. They can make autonomous decisions, retrieve information from expert clinical sources, and iterate over time, freeing clinicians to focus on higher-level patient care. As Dr. Barad puts it: “Agentic AI takes your workflow and collapses it, augments it, supercharges it, and makes it more performant.” 

At HSS, AI agents have already been deployed in multiple areas. They handle complex backend processes, such as insurance claims that previously took several weeks to complete and involved both HSS staff and a third-party contractor to handle the volume. Now, says Dr. Barad, AI agents complete 1,100 claims per month. They’ve reduced the appeals stage from 45 minutes to five and improved the success rate of those appeals from 65% to 100% in the nine months since implementation. HSS now handles all claims in-house. 

Building on that success, HSS is now deploying AI agents in non-clinical patient-facing settings with an AI scheduling and triage service, as part of a collaboration with enterprise agentic AI developer Ema Unlimited. The service is accessible 24/7 via web, text, or phone. It uses conversational AI to ask patients clarifying questions about their condition and then books appointments with the most appropriate clinician, factoring in location, insurance coverage, and physician availability. “It completes the whole loop,” says Dr. Barad. The AI agent is trained on “all of our context, all of our rules, and all of our knowledge base,” he adds, providing patients with streamlined access to highly specialist knowledge from world-leading surgeons.

Given the high-stakes decisions delegated to AI agents, the triage service has built-in safeguards—sensitive, complex, or uncertain scenarios are escalated to human specialists. Every decision made by the AI agent is auditable and human staff can step in at any point. Patient data is kept secure and the system is trained on all HSS protocols, policies, and care pathways. By keeping humans in the loop, Ema says its technology strikes the balance between efficient automation, patient-first safety, and human-informed decision making. 

As the technology becomes more prolific, it will be incumbent on providers to ensure they have these sorts of guardrails embedded into systems, says Dr. Barad. At HSS all decisions around the technology are filtered through an AI subcommittee that Dr. Barad co-chairs alongside a senior nursing executive. AI agents that may touch on patient care will be scrutinized with far more rigor than, say, backend processes, he explains.

AI agents prompt systems-level change

For example, Dr. Barad has plans to create a dedicated AI lab at the HSS main campus in New York City—a move that aims to democratize access to the technology across the organization. It will be open to all staff looking to understand or build AI agents, he explains, with informative classes and one-on-one training. “We’re getting agentic AI into everybody’s hands,” he says. This echoes research by Deloitte, which found that leading agentic AI adopters in health care were far more likely to have opted for multiagent solutions, redesigning end-to-end workflows rather than sticking to narrow solutions or individual use cases.

The key, it appears, is to integrate AI agents across the entire enterprise, treating them as a general-purpose technology. As Dr. Barad puts it: “It’s wrong to think of agentic AI in use cases… It’s a general-purpose technology, analogous to electricity.”

In practice, this means health-care providers need to set the right foundation to achieve value with agentic AI. This includes creating a unified data strategy, one that integrates fragmented data sources across an organization to create a single, comprehensive source of truth. In health care, data is often split across multiple departments and providers, each with their own legacy IT system.

In systems that rely on fragmented data sources, metrics often lack standardized definitions too. For example, Dr. Barad says that each hospital he’s worked in has had a slightly different definition for “time to start surgery,” a metric commonly used to gauge operating room efficiency. This level of fragmentation impedes AI agents from retrieving information from different sources or applications and assimilating the tacit knowledge that differentiates them from other technologies.

By creating greater interoperability of data at HSS, patient-facing AI agents can draw from a patient’s clinical care history and existing recommendations from their clinician, combine this information with current symptoms, and decide whether a situation requires escalation before notifying the correct specialist and informing the patient. 

Building better outcomes

For Dr. Barad, the potential for AI agents to overhaul health care and alleviate the current pressures on resources, access, and patient care is huge. 

He envisions a future in which 90% of non-clinical health-care tasks could be administered by AI agents, freeing clinicians up for what he calls white-glove work, meaning the most complex, specialized, and sensitive cases.

Most health-care providers seem equally optimistic. According to research by KPMG, 84% of providers are already comfortable handing decision making about specific processes over to AI agents.

“We’re spending so much time on keyboards and computers right now that we’re actually not doing what we should be doing,” says Dr. Barad. “This is going to rehumanize health care.”

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox,sign up here.

From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. A large company can hire experts to handle these tasks, but small businesses don’t always have this luxury.

That’s where AI comes in. Today’s AI models do a decent job at these tasks. The trick for small businesses is to understand where AI is good enough and where it’s not.

One place where a “good enough” AI can already be quite valuable to small business owners is in providing secretarial skills and handling basic administrative matters. Let’s take a look at how one private tutor is using it to improve his recordkeeping and free up his time.

Case study

Sam Finnegan-Dehn works in fundraising for a charity, but he moonlights as a math and philosophy tutor for university students from his home in London. Through this part-time business, he can leverage his degrees in philosophy and share his love of the subject with clients.

But meeting with students is only a fraction of the work it takes to be a good tutor. He also plans lessons and finds fresh reading materials, creates assignments, sends invoices, and keeps up with new research—all on top of his regular job. Given these demands, Finnegan-Dehn doesn’t have as much time as he’d like to grow his tutoring roster.

So he’s turned to AI for some help in managing the day-to-day aspects of his business. He says AI has taken on a secretarial role across all of his digital notebooks, where he jots down reminders about his clients’ progress and new readings to keep himself up-to-date. He describes using AI as kind of like having a second memory that helps him connect ideas he’s written down in various places.

While he has experimented with different tools like Claude and ChatGPT, he’s now landed on Notion AI because it integrates better with his tutoring notes, which live across his notebook tabs in the Notion app. Finnegan-Dehn doesn’t use AI to create teaching materials, but he does let Notion AI record meetings with his clients (after getting their consent), and then uses its automated summaries to refine his teaching strategy. For example, if he notices from the AI’s summary that it seems like a certain technique was not helping a student, he may change how he approaches the subject next time.

Beyond this, Notion AI also helps him with goal-setting, drafting lesson notes, invoicing, and generating and syncing social media posts. For goal-setting, for example, Finnegan-Dehn says he understands his long-term goals for his business but not always the concrete steps to build to them. He uses AI to help fill in these gaps. He starts by writing down a “North Star” goal—say, to have a certain number of clients by the end of the year. Next, he asks his AI to generate the steps that he needs to take to get there, given the profile he has built up in the app. Then, he can reflect on the results and choose which tasks to tackle first.

The tool

Notion has been a big player in note-taking software for many years. Its AI add-on, released in late 2023, now has tools that enable it to interact with many other online productivity platforms. There’s an email client, calendar integrations, and a newly released agent. And while this level of access has raised privacy concerns, it can also make for a pretty powerful virtual assistant.

Many of the tasks targeted by Notion AI are less creative and more rote: syncing information across documents or searching through old scribbles, for example. This makes the tool especially appealing to small business owners, who have limited bandwidth, particularly for menial work.

Other companies are developing tools targeted at specific industries. For example, Grandma’s Quilt Shop in Yuma, Arizona, uses Rain, which has a software suite tailored to craft companies, to generate inventory descriptions and pricing for its stock of fabric designs. The owners claim this AI tool cuts the time it takes to list items by 60 to 80%.

There are drawbacks, though, as Finnegan-Dehn described some of Notion AI’s idiosyncrasies as “clunky” at times. And the AI add-on for Notion costs $20 per month. As with all new tools, small business owners should carefully assess how the potential gains and headaches measure up against the cost of just doing the job themselves.

User tips

Consider these points when thinking about whether AI might be able to help you run a business, or make any part of your work life just a little bit easier. 

• Look before you leap. Since LLMs feed on the data you input to answer your queries or complete tasks, you want to give them information in a way that’s convenient for you and for the model. For many of these notebook AI services, this means, for example, using their platform for notetaking so you don’t have to input or upload notes later. Because of this, it’s a good idea to weigh your options carefully before committing to an AI-powered ecosystem.
• Work to your strengths. Think about what skills you lack in-house, and see if AI can either help with training or take these tasks on for you. Just be aware: AI hallucinates and makes mistakes, so think about where accuracy is needed and keep humans in charge there.
  
• AI isn’t always the best tool. It’s okay to use something off the shelf when that’s the better choice. It’s going to be safer, for example, to use existing payment processing platforms like Shopify or Square than to vibe-code one using AI.
  
• Consider using local models for any sensitive information. Our reporting has covered the risks that online AI models have in leaking sensitive data, and there have been many reports about how AI companies collect your data when you ask their chatbots questions. Even if your business doesn’t handle personal information, there can still be some things you’d prefer not to share publicly. In these cases, using an open-source model that makes inferences on your prompts locally can be a great option, instead of ChatGPT or Claude or other proprietary models. Thankfully, some LLMs can now be run off of laptops and small desktops. Here’s how to set one up and start using it.

Sign up for Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across healthcare, climate tech, education, and more.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

China has approved the world’s first invasive brain-computer chip—here’s what’s next

Sitting in the courtyard of his house in China’s Henan province last October, Dong Hui decided to try holding a pen. Six years after a car accident left him paralyzed from the neck down, he slowly wrote his name, “Thank you,” and the date.

The breakthrough was made possible by a brain implant called NEO. In March, it became the world’s first invasive brain-computer interface approved for use beyond clinical trials. The approval is expected to accelerate China’s push to become a global leader in brain implants.

Read the full story on how China reached this milestone—and what it means for the future of brain-computer interfaces.

—You Xiaoying

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Nvidia is launching its first AI chip for personal computers
The RTX Spark will power laptops from Dell, HP, Microsoft, and others. (BBC)
+ They’re being designed specifically to run AI agents. (WSJ $)
+ The first devices are set to launch on Windows PCs in the fall. (CNBC)
+ The move marks a challenge to Apple and Intel. (FT $)

2 The US is stopping exports of AI chips to Chinese firms abroad
It’s closed a loophole allowing exports to Chinese subsidiaries. (Reuters $)
+ Which may have enabled unlicensed access to Nvidia chips. (Al Jazeera)
+ Export curbs have led China to redesign its chip industry. (MIT Technology Review)

3 Surgeons have transplanted pig liver and kidneys into a living person
The clinically dead recipient’s organs worked for almost five days. (Nature)
+ Pig organs could ease transplant shortages. (Guardian)
+ Putin says organ transplants could grant immortality. (MIT Technology Review) 

4 The US, Australia, and UK will defend seabed cables with underwater drones
They’re developing the vehicles via the trilateral AUKUS defense ⁠pact. (CNN)
+ Undersea internet cables face growing threats. (BBC)

5 A new study has revealed chatbots’ manipulative ‘dark patterns’ 
It found they prey on emotions to encourage harmful behavior. (404 Media)
+ They can also sway voters better than political ads. (MIT Technology Review)

6 Apple plans to disrupt the traditional glasses market
Its smart glasses target the broader spectacles industry. (Bloomberg $)
+ Smart glasses are also gaining traction in warfare. (MIT Technology Review)

7 AI super PACs are dueling over the midterms
Split between Anthropic and OpenAI, they’re fighting to shape AI regulation. (NYT $)

8 SoftBank has overtaken Toyota as Japan’s most valuable company
The AI boom pushed SoftBank’s market value above $305 billion. (Bloomberg $) 

9 A botnet of more than 17 million devices has been dismantled in Europe
Dutch authorities linked the network to a Russian proxy service. (Ars Technica)

10 Tech leaders are uniting around a transhuman vision for AI
They’re working toward a post-human agenda. (Guardian)

Quote of the day

“It’s just been shoved down their throats in secrecy. And that makes them upset.” 

—Legendary environmental activist Erin Brockovich tells “The Jim Acosta Show” why citizens are angry about data centers expanding into their communities.

 One More Thing

What happens when you donate your body to science

Rebecca George doesn’t mind the vultures. At Western Carolina University’s body farm, forensic anthropologists monitor donors—sometimes for years—as they become nothing but bones.

Around 20,000 people donate their cadavers to scientific research and education each year. At anatomy labs and body farms, they help train doctors, advance research, and teach scientists more about the human body long after death.

But what actually happens after a body is donated? Read the full story to find out.

—A.W. Ohlheiser

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ This map of moments turns the planet into a shared diary.
+ Let editors curate your ideal podcast moments with this app.
+ Architecture lovers will enjoy this encyclopedia of famous buildings.
+ Get in touch with your emotions through this map exploring more than 100 feelings.

One day last October, sitting in the courtyard of his house in China’s Henan province, Dong Hui decided to see if he could hold a pen to write. 

Dong, 39, had sustained spinal cord injuries in a car accident six years earlier that left him paralyzed from the neck down. Slowly but determinedly, he wrote his name, “Thank you,” and then the date. This was the result of an 11-month-long rehabilitation enabled by an implant in his brain. Before that process, Dong could move his arms slightly but wasn’t able to use his fingers.

“I couldn’t believe I was able to write again. I was so excited I even missed a stroke in my name,” he told MIT Technology Review on a video call. 

In November 2024, Dong became one of the first people in China to be given an invasive brain-computer interface (BCI) through brain surgery. He had signed up for a clinical trial with the device’s developer one month after seeing on TV how a BCI had apparently enabled another paralyzed Chinese man to hold his granddaughter. 

This March, the implant Dong uses became the first invasive BCI product in the world to be approved for use beyond clinical trials. It’s now available to some patients with paralysis in their limbs due to spinal cord injuries. We spoke to a range of experts to understand why the device was able to reach this global milestone, what makes this moment so significant, and what to expect next. 

A world first

Dong’s brain implant is a coin-size device called NEO. It was developed by Neuracle Technology, a Shanghai-based startup, together with researchers at Tsinghua University in Beijing. 

During a procedure that took just over an hour and a half, the device’s sensors, which collect Dong’s brain signals, were placed on his dura mater, the tough outer layer of tissue that covers and protects the brain. The signals are transmitted to a computer by an implant placed on Dong’s skull. The computer then translates the signals into commands for a soft robotic glove Dong wears during the 2.5-hour training sessions he completes each day to help him learn to grab. 

Dong started his rehabilitation around a week after surgery. “On the ninth day of my training, my right hand successfully grabbed a ball without the glove,” he says. “That was a miraculous moment.” 

Now he continues with his training at home. He wants to be able to control his hands better in order to put on clothes, eat, and do other daily tasks without troubling his aging parents. 

A growing number of people with traumatic injuries in China are now poised to tread a similar path thanks to NEO’s recent approval. According to China’s National Medical Products Administration, the bureau responsible for drug supervision, the product is suitable for patients between 18 and 60 who have paralysis in all limbs due to spinal cord injuries but still have some residual function in their arms. 

NEO beat several other BCIs to approval, including one from Neuralink, a California-based company founded by Elon Musk. Since October 2023, Neuracle has conducted 36 clinical trials using NEO, including the one on Dong. Thirty-two of them took place in the space of a few months in 2025, with the details about one of the four first in-person trials published in a preprint paper last July. Neuracle did not reply to a request for comment from MIT Technology Review.

One reason for NEO’s fast approval could be that it has a “relatively less invasive” design than counterparts such as Neuralink’s N1 brain chip, says Avinash Singh, a BCI researcher at the University of Technology Sydney. NEO’s eight sensors sit on top of the brain’s protective membrane while Neuralink’s N1 chip directly penetrates the cortex, the outermost layer of the brain itself. Neuracle’s device faces fewer regulatory constraints because it presents a lower risk of hemorrhage, glial scarring, and long-term signal degradation, Singh says.

China’s strong support for its BCI industry also means that NEO was put on an expedited regulatory pathway; in comparison, the approval process of the US Food and Drug Administration can take several years, Singh adds.

A big boost for BCIs

NEO’s approval is hugely important for the global BCI industry, says Wang Shouyan, a neuroscientist at Fudan University in Shanghai who was not involved in research or trialing for NEO. Even though research and development on BCIs has taken place for several decades, most of it happened in the lab. The news means that BCIs are now ready for large-scale manufacturing and clinical use in China, Wang says. 

For Dong, however, it means something much more personal. “Now, it will be able to help not only me, but also thousands and thousands of other patients suffering from spinal cord injuries in China who are tortured by despair each day,” he says of NEO. “It will bring them hope and change their lives.” 

Days after NEO was approved, China started incorporating it into the country’s health insurance system by assigning it a unique code. This is one of the first steps toward a future where eligible Chinese patients pay a certain percentage of the BCI’s price if they need it during their treatment.

The growth of China’s BCI industry is expected to accelerate thanks to the government’s policy support and financial backing. The country’s latest five-year plan, published on the same day Neuracle received its approval, lists BCI as one of six key industries important to China’s future tech competitiveness, alongside quantum technology, humanoid robots, and others. Several Chinese startups, including NeuroXess and StairMed, have already worked in the field for many years. 

“China’s decision to double down on becoming a global leader in the field owes in part to what these companies have already accomplished,” says Meicen Sun, an information scientist at the University of Illinois Urbana-Champaign who studies information and technology policy. 

But, Sun says, the biggest advantage China may have is that Chinese people, particularly patients like Dong, tend to welcome this technology and are genuinely enthusiastic about it. In comparison, in the US and Western Europe, testing technologies on human bodies elicits an “ick factor,” triggering concerns and even resistance, she says.

Cooperation in a cold climate 

NEO has become the world’s first invasive BCI to go commercial, but scientists interviewed by MIT Technology Review caution against comparing Chinese and US efforts through the lens of a race. 

A race implies an endpoint, but it is hard to say where that is for the development of BCIs, says Nick Ramsey, a neuroscientist at Radboud University Nijmegen in the Netherlands. Also, the US and China have fundamentally different visions, Sun says. The US is primarily concerned with being the first to do something and achieving state-of-the-art performance, while winning to China means capturing more consumers and using technology to deliver solutions on a societal scale. 

“Being exceptional and being accessible are two diametrically opposed definitions of winning,” Sun says. 

In fact, neurotechnology has emerged as a rare tech sector where US-China collaboration is still happening despite geopolitical tensions. The US company Axoft,  based in Cambridge, Massachusetts, says it has teamed up with a Chinese company and a hospital in Shanghai to test its BCI on four patients in China and has plans to expand its trials in the country. 

Looking forward, China’s BCI industry is expected to speed up its growth over the next five years thanks to strong government support. “There is no comparable national-level ambition or coordinated map elsewhere in the world at the moment,” says Singh.

More BCIs are also in the pipeline for domestic approval in the country, including Beinao-1, developed by the Chinese Institute for Brain Research in Beijing and its affiliated startup, NeuCyber NeuroTech. The device, which sits on the dura mater, is designed to help those who have movement and speech difficulties due to spinal cord injuries or amyotrophic lateral sclerosis. These candidates could get the green light as early as 2028, Singh says. 

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

How a new extraction process could unlock the world’s lithium

A new method for extracting lithium could cut costs and emissions from one of the world’s most important materials for EVs and energy storage. 

The technique uses a weak acid to dissolve silicate minerals. That frees not only the lithium but also other useful materials, including alumina and silica. 

“At scale, we believe this will be the lowest-cost way of sourcing lithium in the world,” says Yet-Ming Chiang, an MIT professor who co-authored a study of the process published yesterday in Science. 

Startup Rock Zero is already working to commercialize the research. Read the full story on a new way to unlock the world’s lithium.

—Casey Crownhart

The deadly Ebola outbreak is proving difficult to control

The alert was raised on May 5. Four health-care workers in the Democratic Republic of the Congo had died from an unknown illness within four days. Tests in Kinshasa revealed the culprit: the Bundibugyo virus, one of the causes of Ebola.

A couple of weeks ago, an outbreak of hantavirus erupted aboard a cruise ship. Three people died, but the outbreak was kept under control. The picture for Ebola is bleaker for several reasons, including the disease itself, the available treatments, and the local environment.

Find out why the outbreak is causing alarm.

—Jessica Hamzelou

This story is from The Spark, our weekly newsletter giving you the inside track on all things biotech. Sign up to receive it in your inbox every Thursday.

How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment

——Father Séamus Finn, a leader in faith-based and socially responsible investing with the Oblates of Mary Immaculate, and Sister Susan Francois, assistant congregation leader and treasurer of the Sisters of St. Joseph of Peace

Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” 

Magnifica Humanitas is a call to act with courage and solidarity as AI transforms human life, framing the choice ahead as one between the Tower of Babel and the rebuilding of our common humanity. It warns that corporations alone cannot set the direction of such a transformation.

With governments slow to regulate AI, institutional investors are stepping into the gap. Here’s how they can build a better future.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Anthropic is now valued higher than OpenAI
It hit a $965 billion valuation after a new funding round. (AP News)
+ Claude demand has driven annualized revenue to $47 billion. (WSJ $)
+ The funding round may be Anthropic’s last before an IPO. (TechCrunch)
+ What even is the AI bubble? (MIT Technology Review)

2 A Blue Origin rocket has exploded in a setback to NASA’s Moon plans
New Glenn burst into flames during testing on a Florida launchpad. (CNBC)
 + Blue Origin is heavily involved in NASA’s Moon base plans. (The Verge)
 + It also wants to compete with Elon Musk’s SpaceX. (Reuters $)
 
3 Adversaries are tracking US troop locations via mobile phone data
The Pentagon has long ignored warnings of this exact threat. (Reuters $)
+ The targeting uses commercially available location data. (Wired $)
+ LLMs could supercharge mass surveillance. (MIT Technology Review)
 
4 Anthropic plans a broad rollout of Mythos AI in the coming weeks
Despite concerns over its cybersecurity capabilities. (CNET)
+ Claude Opus 4.8 is now out, with a promise to be more honest. (The Verge)
 
5 Grok oversaw a crime spree in an AI safety test
Models were tasked with governing a simulated society. (Fortune)
+ Grok committed 180 crimes, while Claude ruled with restraint. (Gizmodo)

6 Amazon has scrapped an AI leaderboard after worker gaming
Employees were artificially inflating usage scores. (FT $)
+ We can build better AI benchmarks. (MIT Technology Review)
 
7 Political spending by AI and crypto groups is shifting elections
They’ve pushed their preferred candidates closer to power. (Axios)

8 China’s tech boom is fueling a new wave of industrial tourism
Visitors are touring AI labs and EV factories. (Rest of World)

9 Alibaba’s MuleRun aims to replicate the OpenClaw craze
The AI agent platform is positioned as a safer alternative. (SCMP)

10 Mysterious changes have emerged in the Sun’s magnetic field
They could reshape space weather forecasts. (404 Media)

Quote of the day

“What Peter Thiel is doing is terrible. His settling in Argentina is even worse.”

—Elisa Lilita Carrió, an Argentine politician, writes on X that Peter Thiel’s relocation to her country has angered her even more than his leadership of Palantir.

One More Thing

How the James Webb Space Telescope broke the universe

When the James Webb Space Telescope began full operations in 2022, astronomers were in awe of the flood of data that arrived.

“Every hour we were looking at a galaxy or an exoplanet or star formation,” says NASA scientist Heidi Hammel. “It was like a firehose.”

Since then, JWST has delivered nonstop discoveries, from distant galaxies to new planetary atmospheres. “We’re cracking open an entirely new window on the universe,” says Hammel. 

Discover how JWST has transformed astronomy.

—Jonathan O’Callaghan

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Kubrick fans will love this Lego recreation of Dr Strangelove.
+ Here’s a fascinating explanation of why seven landlocked countries have navies.
+ This mesmerizing 4K remaster of a super typhoon turns weather data into cinematic art.
+ Go inside the genius of Queen with this track-by-track breakdown of “Bohemian Rhapsody.”

The alert was raised on May 5. Four health-care workers in the Ituri Province of the Democratic Republic of the Congo had died from an unknown illness within four days.

Rapid response teams were sent to investigate, and tests at a research center in Kinshasa revealed the culprit: the Bundibugyo virus, one of the viruses that cause Ebola. Suspected cases of the disease have snowballed in the last few weeks. By May 24, the WHO had estimated that 223 people had died from the disease. There were over 900 suspected cases. Today’s figures are likely to be higher.

A couple of weeks ago, I covered the hantavirus outbreak aboard a cruise ship. Three people sadly died, but the outbreak itself was kept under control. There have been no further deaths, and passengers have been safely repatriated. The picture for Ebola is far bleaker. And there are several reasons why.

The most obvious is the disease itself. Ebola is a severe disease with an average 50% fatality rate. Previous outbreaks have resulted in thousands of deaths. (Hantavirus also has a high fatality rate, but it doesn’t usually spread as easily between humans.) 

Between 2014 and 2016, an Ebola outbreak in West Africa caused more than 11,000 deaths. A more recent outbreak, which took place between 2018 and 2020, caused 2,299 deaths before being brought under control with a vaccination campaign.

But those outbreaks were caused by the Zaire virus, which has a different genetic sequence. There is no vaccine for the Bundibugyo virus. We don’t know if the two vaccines approved for Zaire might also work for Bundibugyo. There’s a concern they might even make things worse by interfering with a person’s immune response to the virus.  

Scientists are working on potential Bundibugyo vaccines. But the most advanced efforts are still months away from clinical trials. There are no specific antiviral treatments for the virus, either.

So to control the outbreak, health-care workers are trying to stop the spread of the disease. Ebolaviruses can be transmitted to humans by animals including fruit bats, chimpanzees, and gorillas. They can then spread between people via contact with bodily fluids such as blood or vomit.

That’s why the virus is often spread among family members, to health-care workers, and during some burial services. The WHO advises isolating people who have the virus in treatment centers. It also recommends safe burial measures that limit physical contact with the deceased, for example. Communities need to be informed about the virus and how it spreads, and health professionals should be on hand to diagnose cases and track them.

That’s all easier said than done in an era of misinformation. Some members of the community even doubt whether the disease is real. There have been three attacks on health-care facilities in the region in recent weeks.

Last week, two treatment centers were burned down. The first incident occurred after relatives of a deceased man were prohibited from retrieving his (infectious) body. As a result of the second incident, 18 suspected cases reentered the community.

A couple of days later, a group of men unleashed gunfire at Mongbwalu General Hospital, which was also treating people with Ebola. They were demanding the bodies of their deceased relatives.

There are more causes for concern when it comes to the spread of the virus. The Ebola outbreak is thought to have originated in Mongbwalu, a high-traffic mining hub. People who caught the virus in Mongbwalu are thought to have sought care in neighboring districts. And the wider province borders both South Sudan and Uganda. So far, Uganda has reported seven confirmed cases and one death. South Sudan’s health ministry has said it will strengthen surveillance, but no cases have been reported in the country so far. 

Violence in the region is making it much harder to contain the spread of the virus, too. Conflict involving multiple armed groups, including deadly attacks on civilians, has hampered humanitarian and health-care efforts. Poor infrastructure and damaged roads make matters even worse. Food insecurity is ravaging the region as well—this year, nearly 10 million people in the region face acute hunger.

Together, these factors are making it “nearly impossible” to isolate people with Ebola and trace others who have been in contact with them, WHO director general Tedros Adhanom Ghebreyesus said in a statement earlier this week.

The dismantling of US aid programs hasn’t helped either. US government funding for international health projects has steeply declined since the start of President Donald Trump’s second term. These cuts have harmed disease surveillance systems, according to the International Rescue Committee, a humanitarian nonprofit.

“Funding cuts have left the region dangerously exposed,” Heather Reoch Kerr, the organization’s country director for the Democratic Republic of the Congo, said in a statement. “Years of underinvestment and recent funding cuts have left many health facilities without adequate protective equipment, surveillance capacity, or frontline support needed to respond quickly and safely.”

The US has mobilized emergency funding for the outbreak, and a spokesperson for the State Department has argued that none of the administration’s actions have hampered the Ebola response. But health experts counter that the damage has already been done.

On May 17, the WHO declared the Ebola outbreak a public health emergency of international concern. In a statement on Wednesday, Tedros described the situation as “a catastrophic collision of disease and conflict with the Ebola outbreak in Ituri province outpacing the response.”In an online appeal to residents on Wednesday, ahead of an in-person visit, Tedros pleaded for a ceasefire and commended the spirit of community members. He also acknowledged the steep challenges they face. “You are already carrying so much: malaria, hunger, insecurity, and the daily struggle to keep your families safe,” he wrote in French. “And now Ebola. It’s not fair, and I won’t pretend otherwise.”

This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.

Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we enter an age already being transformed by artificial intelligence, the greatest change in human life since the Industrial Revolution. As the pope says, the choice before us—the choice AI presents—is one between the Tower of Babel and the rebuilding of our common humanity. 

In the biblical story of the Tower of Babel, humans sought to build a massive structure that reached all the way to Heaven, only to have their project thwarted when God made those involved unable to understand one another. It was a pursuit fixated on relentless growth, divorced from any concern about God’s commandments or the human cost. It resulted in failure and atomization.

The Book of Nehemiah, however, offers a contrasting narrative, in which the rebuilding of Jerusalem after a period of violence and displacement becomes an opportunity for humanity to show its collaborative resilience. As the encyclical puts it, “The city is reborn, not through the initiative of one man, but through the shared responsibility of all: men, women, priests, artisans, heads of households and young people all play a part. It is an undertaking with God at the center, which rebuilds relationships before rebuilding with stones.” 

Is there any question which road we are currently barreling down? And can there be any doubt which we would do well to walk together? 

We are both Catholics, members of religious communities and longtime advocates within the movement for socially responsible investment. Of particular interest to us and that movement is Pope Leo’s point that AI is not some force of nature or hyperrational, ineffable entity. Instead, he reminds us, AI is ultimately another commercial product, one emerging at a point in history when excessive power over commerce and the wider society has amassed in a vanishingly small number of hands. 

It’s a powerful message. It’s also one that institutional investors have been acting on for years. This encyclical doesn’t break new ground so much as ratify a governance effort that’s already underway, led not by states or international bodies but by shareholders. When governments fail to meaningfully regulate, and corporations cannot be trusted to do what is beneficial beyond their own bottom line, people in society still have the power to set us on the right path, and indeed have the duty to do so. 

Around the world, AI systems are being deployed at scale with remarkably little institutional oversight. There is no AI safety board. The US Federal Trade Commission has jurisdiction over unfair practices but limited authority over algorithmic design. The National Institute of Standards and Technology publishes guidance that most companies ignore. The EU AI Act is partially in force but addresses only a sliver of the deployment surface.

Institutional investors have stepped into this vacuum. Coalitions including the membership of the Interfaith Center on Corporate Responsibility, representing investors managing over $4 trillion in assets, have spent the past several proxy seasons filing resolutions demanding transparency, risk assessment, and accountability around AI deployment. Secular institutional investors have joined them, treating AI governance failures as material business risks.

Shareholders have called tech giants including Alphabet, Amazon, Nvidia, Palantir, and Uber to account and demanded that AI not be used for acts of violence or other violations of human rights. The importance of this aspect of corporate governance was highlighted tragically in the opening hours of the war against Iran, when AI was used to help identify targets for thousands of missile strikes that killed hundreds of people.  

Investors have also challenged executives at CVS and UnitedHealth Group to ensure that AI not be used to undermine the well-being of patients and quality of health care across the United States. 

At companies including Meta and Microsoft, shareholders have decried the environmental impact of AI data centers, which consume vast amounts of energy and precious water resources, and in turn can emit large amounts of greenhouse gases. 

Within creative industries, investors have challenged the leadership at companies like Disney, Netflix, and Warner Bros. to demand transparency about the ways they are using AI and to defend the inimitable human element in storytelling. 

Soon, with OpenAI, Anthropic, and Grok all set to enter the public markets, we will be able to exert similar influence over what are now all privately held entities.

These actions by concerned investors not only call out misdeeds but hold fast to an immutable truth: that it is wrong to use technology to kill, harm, or oppress people. Every human being has a right to safe and effective health care and the opportunity to earn a dignified living. The stories we tell each other matter and require the human creative spark. 

Investor advocates hail from a range of faith traditions. Some have no formal religious faith. Yet in their informed and tenacious advocacy, all these people echo the calls embedded within Pope Leo’s encyclical and act on its declaration that “it is essential that the use of AI, especially when it touches on public goods and fundamental rights, be guided by clear criteria and effective oversight.” 

Encyclicals mark time. A century from now, how will we be remembered for how we met this moment? Will we be seen as having been too timid or shortsighted to prevent a small group of unfathomably wealthy and self-interested people from seizing ever greater control over the human family’s shared destiny? 

Or will the years ahead be remembered as a turning point that helped us rebuild our common humanity? Let this be a time when people of good will and diverse talents come together through their own magnificent humanity to build a future that honors our Creator.

Father Séamus Finn, OMI, is a global leader in faith-based and socially responsible investing and a priest of the Oblates of Mary Immaculate, a missionary religious congregation.

Sister Susan Francois is the assistant congregation leader and congregation treasurer for the Sisters of St. Joseph of Peace.

Correction: An earlier version of this story misstated the amount under management by the membership of the Interfaith Center on Corporate Responsibility.

Researchers say they’ve found a new way to extract lithium, a crucial metal used in the lithium-ion batteries that power electric vehicles and energy storage arrays. This new technique could be more environmentally friendly and cheaper than existing ones. 

The research was published today in Science, and a startup called Rock Zero is working to commercialize the process.

“At scale, we believe this will be the lowest-cost way of sourcing lithium in the world,” says Yet-Ming Chiang, one of the study authors, who is an MIT professor and a serial entrepreneur behind climate tech companies including Form Energy and Addis Energy.

The most economical way to get lithium currently is to extract it from brine, salty water that’s pulled the metal out of rock over the course of millennia. But this technique is geographically limited and currently requires vast tracts of land for massive evaporation pools. The more common tactic is hard-rock mining, where large bodies of ore are blasted apart, cooked at high temperatures, and processed using dangerous chemicals.

The researchers’ new method uses a weak acid to dissolve typically nonreactive silicate minerals. That frees not only the lithium but also other useful materials, including alumina and silica.

The origin story for this research, and the resulting company, came from another startup founded by Chiang, Sublime Systems, which makes cement using electrochemistry.

The team was trying to find a source of highly reactive silica in order to form stronger cement. One way to make reactive materials, which can bond easily with other materials, is to take a nonreactive material, dissolve it, and then allow it to become solid in a more reactive form. It’s not impossible to dissolve silicates, but the best-known way is to use hydrofluoric acid, an extremely dangerous chemical. Other fluorine-containing chemicals are candidates too, but some will produce hydrofluoric acid as a side product during reactions. 

Chiang drew inspiration from a previous home renovation project involving glass, which is made of silica. “I was remodeling a shower in Framingham, Massachusetts, about 25 years ago,” he says. “So when we started this project, I remembered that glass etching cream and thought, ‘What’s in that?’” 

The glass etching cream he remembered, which can be found on shelves at any craft or home improvement store, uses ammonium fluoride, a weak acid. And the MIT researchers discovered that in the right conditions, it can effectively dissolve silicate minerals without producing hydrofluoric acid in the process.

This chemistry could be useful for any silicate minerals—and there are a lot of them. But spodumene, the mineral that’s often mined for lithium, became a prime first target. (Chiang says a suggestion from Doug Wicks, one of the company’s advisors and a former ARPA-E official, pointed the team in spodumene’s direction.)

Today, a key step in processing spodumene ore is to roast it in a kiln at super-high temperatures. This causes a phase transformation, essentially puffing up the material and making the lithium more accessible.

By avoiding the need to reach these temperatures, you could save on energy costs and potentially reduce carbon emissions as well, says Camden Hunt, one of the authors of the study and the CEO and cofounder of Rock Zero.

Avoiding the kiln could also unlock the ability to use some ores that can’t be roasted properly, Hunt adds. Ore that contains too much iron won’t go through the phase change correctly, instead melting and turning into a glassy material.

The new process relies on simple stirred plastic tanks and takes place at temperatures up to about 95 °C (200 °F). The ammonium fluoride dissolves the silicates, which in earlier experiments allowed nearly all of the lithium inside the spodumene ore to be extracted within a couple of days. The researchers have since cut this time to under 12 hours, says Benjamin Mowbray, first author of the study and the CTO and cofounder of Rock Zero.  

The products (after some additional steps to clean them up) are lithium carbonate, which can be used to make batteries; alumina, which can go into a smelter to make aluminum; and cementitious silica, which can be added into concrete. And the acid can be reused in the same loop.

Chiang calls this “nose-to-tail” mining—using every part of the ore provided, like eating every part of a butchered animal.

The researchers are currently working to scale and optimize the process. The tanks in the lab in Cambridge, Massachusetts can handle three kilograms of spodumene concentrate in each batch. 

They have also estimated the cost of this process once fully scaled up. Assuming that the ammonium fluoride can be recycled at a high level, they should be able to extract lithium for less than $6,000 per metric ton. (They’ve identified a potential cheap industrial source of the acid as well, as an alternative to recycling it.) 

The total cost is projected to be lower than that of other processes used to extract lithium from hard-rock ore today, and it could be competitive with brine.

The team has designed a pilot plant and is looking for space to build it. The plan is to have construction done by the end of 2026 and start operating the facility in 2027. Talks are underway with potential partners in the mining industry.

One difficulty for new players in lithium extraction is the volatility of the market: Prices have seen huge swings in recent years, from a peak in 2022 to lows in late 2024 and a slow climb starting in early 2026. 

Rising prices might benefit new players like Rock Zero, but there are many projects that could come online if prices continue to rise, and that could bring the market right back down, says Simon Jowitt, chair of exploration geology at the University of Nevada, Reno. “People are waiting to see what happens with the lithium price,” he says. “It’s a crowded market, and there’s some big players out there.”

And even though batteries are driving up demand for lithium, the market is still relatively small, Jowitt adds: “That means it’s going to be volatile.” New lithium extraction technologies like Rock Zero’s will have to compete with methods used by existing giants, and there’s also the potential that technological alternatives, like sodium-ion batteries that don’t need lithium, could make the market more difficult to navigate, Jowitt says. He also thinks some of the company’s economic estimates could be optimistic.

For its part, Rock Zero’s team hopes not only to scale this technology for lithium, but to use it for other minerals in the future. As Mowbray says, “The Earth’s crust is made of silicates.”

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Climate tech companies are going public. What’s next?

Solar and battery company Solv Energy went public in February, hitting a $6 billion valuation. X-energy, which builds small modular nuclear reactors, followed at $11.5 billion. Then came geothermal company Fervo Energy, reaching a market cap of about $12.4 billion.

All three have been IPO success stories. And it doesn’t feel like a coincidence that they’re racing to provide electricity in an era of rising demand, driven partly by data centers.

What does this boom reveal about the future of the grid? And what comes next? Read the full story to find out.

—Casey Crownhart

This story is from The Spark, our weekly newsletter giving you the inside track on all things climate. Sign up to receive it in your inbox every Wednesday.

The AI Hype Index

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of what’s shaping the industry right now.

The latest edition includes billionaire road trips, students booing, made-up quotes, and too much sci-fi. See where it all landed on this month’s index.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Illinois just passed what could become America’s strongest AI safety law
It would require third-party safety audits. (Wired $)
+ But it still needs the governor’s approval. (NBC News)
+ The US is divided over AI regulation. (MIT Technology Review)

2 A Google engineer has been charged with insider trading
He allegedly bet on who’d be the most-searched people of 2025 on Polymarket. (BBC)
+ And used internal data to rack up more than $1.2 million in winnings. (Verge)
+ He’s been charged with fraud and money laundering over the bets. (NPR)

3 ByteDance is developing custom CPUs amid a massive AI chip squeeze
The TikTok owner is struggling with severe supply shortages. (Reuters $)
+ Google, Amazon, and Microsoft are also building custom CPUs. (CNBC)
+ Taiwan’s “silicon shield” could be weakening. (MIT Technology Review)

4 Four tech giants have backed a clean energy push for AI data centers
Amazon, Google, Meta, and Microsoft have joined the initiative. (Quartz)
+ Investor Elemental Impact will deploy up to $5 million per project. (Axios)

5 Nvidia’s CEO is joining the board of Beijing’s Tsinghua University
His appointment comes as Nvidia struggles to export chips to China. (FT $)
+ President Xi is an alumnus of Tsinghua, aka “China’s Harvard.” (Reuters $)

6 The Trump administration is in talks to fund drone firms
One of which counts Donald Trump Jr. as a shareholder. (WSJ $)
+ Drone dominance has been described ​as a “presidential priority.” (Reuters $)

7 London has reclaimed its position as Europe’s leading tech hub
It’s overtaken Paris in new global rankings. (Euronews)
+ And now sits fourth, behind the Bay Area, New York and Boston. (Reuters $)

8 OpenAI and Anthropic disagree over AI’s impact on jobs
Anthropic is emphasizing the risks, while OpenAI is sounding rosier. (Axios)
+ The AI jobs hysteria needs a reality check. (MIT Technology Review)

9 Researchers claim to have achieved perfect randomness for the first time
Thanks to entangled quantum chips. (Interesting Engineering)
+ The milestone could lead to better cybersecurity. (Scientific American)

10 Embryo organoids are showing why many pregnancies fail
They’ve led to improvements in IVF and pregnancy treatments. (New Scientist $)
+ New tech is transforming reproductive medicine. (MIT Technology Review)

Quote of the day

“How can we be happy about Google coming? We’ll all be scattered. It feels very sad.”

—Pyla Kondamma, a 42-year-old in Visakhapatnam, India, tells the Wall Street Journal her concerns about Google building data centers in her city.

One More Thing

Why venture capital doesn’t build the things we really need

Venture capital has been the engine of US innovation for years. This largely white, largely male corner of finance has backed software companies that grow fast—but generate large amounts of money for a shrinking number of Americans.

It’s also creating fewer jobs for ordinary people. And recently, venture capitalists have struggled to find ideas that fit their preferred pattern.

Here’s what’s going wrong with the funding model that made Silicon Valley a global hub.

—Elizabeth MacBride

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Never miss a great movie again with this worldwide release tracker.
+ These quirky word puzzles use emoji hints to help you find answers.
+ The digital museum of plugs and sockets is a treasure trove of global connectors.
+ Michael Jackson’s “Smooth Criminal” becomes a Bach-style fugue played on classical guitar.

This year, there’s been a wave of notable energy companies going public via IPO in the US.

The solar and battery company Solv Energy went public in February, to the tune of $6 billion. X-energy, which is building small modular nuclear reactors, did the same in April, and its stocks surged on its first day of trading to hit a $11.5 billion market cap. Most recently, the geothermal company Fervo Energy went public in mid-May, and its market cap is now about $12.4 billion.

Those are all success stories in the IPO world. And it certainly doesn’t feel like a coincidence that all these companies are racing to provide electricity in an era of rising demand (partly due to data centers). Let’s take a look at how these firms are doing, what this moment says about the grid, and what’s coming next. 

Let’s start with Fervo Energy, a company we’ve covered a lot over the years that’s working to develop enhanced geothermal energy. (We included it on our 2025 list of Climate Tech Companies to Watch.) While conventional geothermal requires finding specific spots with hot rock, water, and fractures to support a power plant, Fervo essentially uses fracking techniques to create the necessary conditions.

The company was founded in 2017, and it raised about $1.5 billion from investors over the years before its IPO.

Fervo’s first commercial project, Cape Station in Utah, is expected to have a capacity of about 500 megawatts. The first unit is set to start generating power for customers by October and the next two units by January 2027.

The new funding from the IPO could help the company scale. Fervo currently has over 600 megawatts’ worth of binding power purchase agreements. And it has leases for land that could together generate more than 40 gigawatts of electricity. (As of 2024, the entire US geothermal fleet had a capacity of just 4 gigawatts.)

The company also has an eye on cutting construction and drilling costs—its Cape Station plant is expected to cost about $7 per kilowatt, which is cheaper than new nuclear power plants but over twice the expense of building a new natural-gas plant in the US. 

X-energy also aims to provide reliable clean power: it’s part of the wave of next-generation nuclear companies working on small modular reactors. The company is building high-temperature gas-cooled reactors, which flow helium over self-contained pebbles of nuclear fuel. These reactors will each generate 80 megawatts of electricity, less than one-tenth the output of larger ones like Unit 4 at Plant Vogtle in Georgia, the most recent addition to the commercial nuclear fleet in the US.  

X-energy also saw its IPO go well, and prices surged in trading after the initial offering. One interesting tidbit here—the company had previously planned to go public in 2023 but decided against it because of difficult market conditions.

The company is still years away from demonstrating its technology in a commercial project. 

You may recall a story I wrote last year about its effort to build nuclear reactors at the site of a Dow Chemical plant in Texas. The company recently received a key environmental approval for that project, though it’s still waiting for the final green light from the Nuclear Regulatory Commission to start construction.

Finally, Solv Energy builds solar and energy storage projects, mostly for utilities and independent power producers. Solar and batteries are some of the cheapest and easiest technologies to add to the grid, so this one could get a lot of capacity online, quickly. The company already has 21 gigawatts’ worth of projects operational across 35 states.

Many companies in the energy sector are pinning their hopes on the rapid growth in data center construction and operation. The AI boom has transformed the energy landscape, pushing electricity demand higher in a country where it’s been relatively flat for the last decade or so. Solv Energy mentioned data centers over a dozen times in documents filed with the Securities and Exchange Commission before its IPO. 

And Fervo and X-energy are particularly connected to the tech giants driving AI. Google has been a longtime investor in Fervo and also pioneered what it calls its clean transition tariff with the company. Amazon is a client of X-energy as well as an investor; it reportedly owns close to 20% of the company.

Fervo and X-energy are also in industries that occupy a political sweet spot. President Trump and his administration have gone after wind power and other renewables, cutting off existing support and slowing approvals for new projects. Meanwhile, geothermal and particularly nuclear power have kept favor with the federal government and enjoyed continued tax credits and grant funding.

If a few big leaders cash through these IPOs, it could help investors feel more confident about supporting the energy sector, even if that money is concentrated in later-stage ventures like these rather than earlier-stage companies. 

We could see other firms, particularly in nuclear and geothermal, attempt a similar route in the year ahead.

A key thing to watch here will be whether Fervo and X-energy in particular can succeed in scaling up and deploying their technology. If either of these companies stumbles or misses a timeline, it could have ripple effects for those hoping to follow in these very lucrative footsteps. 

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here. 

It is one thing to say AI will change the world. It is another to expect the class of 2026 to applaud it. In fact, when former Google CEO Eric Schmidt told University of Arizona graduates that their task is to help shape AI, he was met with a resounding chorus of boos. “I can hear you,” he said, before conceding that fears about disappearing jobs and a broken future were “rational.”

This is not exactly the message one hopes to hear while sweating under a polyester gown and tallying student loan payments. Graduates have been jeering at AI pep talks at other commencements too, including ceremonies at the University of Central Florida and Middle Tennessee State University. Still, increasingly loud skepticism hasn’t stopped OpenAI from winning court cases, raising enormous sums of money, and launching new partnerships. And AI is even earning some unlikely cheerleaders: Reese Witherspoon has warned women to embrace it or be replaced by it.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Stay on top of what’s going on in AI this summer

Here at MIT Technology Review, we understand exactly how relentless the pace of news from the world of artificial intelligence feels. New models and capabilities crop up as fast as we can cover them, and the ripple effects they send through tech and wider society are never far behind.

Our unique strength lies in cutting through the day-to-day noise to help you understand what’s really happening, and what lies around the corner.

That’s why we created our list of 10 Things That Matter in AI Right Now, unveiled at our flagship AI event EmTech AI a few weeks back (check the list out if you haven’t already!) And it’s why we publish so many stories dedicated to explaining how AI works, and what’s coming next. We also regularly run live subscriber-only Roundtables events—you can still catch up on last week’s session, where we explored how AI might enter the physical realm via world models.

Right now, there’s a 25% discount on subscriptions. Sign up now to deepen your understanding of AI this summer. You can also join the conversation by subscribing to The Algorithm, our free weekly newsletter all about the latest in AI.

MIT Technology Review Narrated: what’s next for IVF

IVF has brought millions of babies into the world over the last four decades. But the process can still be slow, painful, and expensive—and far from guaranteed to work. Now, a wave of new technologies aims to change that. 

Researchers are using AI to identify promising sperm and embryos, developing robotic systems that could automate parts of the IVF process, and even exploring controversial genetic editing techniques designed to prevent inherited disease.

The technologies could make IVF more effective and accessible. But they’re also raising difficult ethical questions about how far reproductive medicine should go.

—Jessica Hamzelou

This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 NASA unveiled plans for three uncrewed missions to the Moon this year
They’re part of preparations for a crewed landing in 2028. (The Verge)
+ And steps to build the first lunar base at the Moon’s south pole. (NBC News)
+ Jeff Bezos’s Blue Origin will lead the first uncrewed mission. (WP $)
+ NASA is building the first nuclear reactor-powered spacecraft. (MIT Technology Review)

2 Samsung’s largest unions have approved a landmark bonus scheme
The deal averts a massive strike at the world’s largest memory-chip maker. (WSJ $)
+ Chip workers will get an average bonus of about $340,000. (Bloomberg $)
+ The dispute centered on who profits from the AI boom. (BI)
+ Resistance to AI is growing. (MIT Technology Review)

3 Elon Musk accused the Pentagon of misusing Starlink for drones
He says military use of the system violates SpaceX rules. (Ars Technica)
+ The DoD is disputing a Starlink price hike during the Iran war. (Reuters $)
+ Stratospheric internet could take off this year. (MIT Technology Review)

4 China has overhauled the world’s biggest surveillance network with AI
Beijing is pushing law enforcement towards predictive policing. (FT $)
+ Police use of smart glasses is also booming in China. (Gizmodo)
+ LLMs could supercharge mass surveillance. (MIT Technology Review)

5 Space Force is awarding SpaceX $2 billion for a military data network
It will connect military sensors and weapons platforms worldwide. (Reuters $)
+ The contract comes amid concerns about SpaceX’s AI business. (WSJ $)
+ Speculation is growing around a possible SpaceX-Tesla merger.  (CNBC)

6 Taiwan suspects Nvidia chips were smuggled to China via Japan
To circumvent US restrictions. (Bloomberg $)
+ Is China about to win the AI race? (MIT Technology Review)

7 Booming AI chip demand has created two new $1 trillion companies
South Korea’s SK Hynix and the US’ Micron have hit the landmark. (BBC)

8 AI has sparked a surge in demand for cybersecurity experts
Thanks to a glut of new code and alarm over powerful models. (NYT $)
+ AI is making online swindles easier. (MIT Technology Review)

9 Internet is coming back in Iran after a three-month blackout
Although it isn’t clear if the reconnection is permanent. (Wired $)

10 Physicists are rethinking the role of gravity in quantum mechanics
There’s a new theory for how our everyday world emerges. (New Scientist $)

Quote of the day

“AI and its capabilities represent something analogous to the Second Coming.” 

—Jeremy Nixon, the cofounder of AGI House and a former Google Brain researcher, tells the New York Times how Silicon Valley’s innovations could affect the pope.

One More Thing

Inside the experimental world of animal infrastructure

In the mid-2000s, toads were meeting a gruesome end near Ede, a leafy old town in the Netherlands. Residents responded by building wildlife tunnels beneath the road to help them reach their breeding ponds safely.

The crossings became popular. But a few years later, researchers found the local toad population had crashed from more than 10,000 to fewer than 1,000.

The case reflects a wider global push to build wildlife crossings and other forms of “animal infrastructure.” But do they actually help animal populations recover? Read the full story to find out.

—Matthew Ponsford

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ The votes for “International Mollusc of the Year” are finally in.
+ Track aircraft in real time across a gorgeous 3D digital globe using live flight data.
+ NASA’s Psyche spacecraft has delivered breathtaking new close-up images of Mars.
+ This deep dive into instant coffee reveals the extraordinary engineering effort behind making it vaguely drinkable.

Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution. 

Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and infrastructure can’t support that change. They cite a lack of readiness across people, processes, and workflows. 

The sticky tape problem

The challenge is that many organisations are often layering AI agents onto existing operations, rather than reimagine the operating model and how work will need to be rewired, explains Prasun Shah, global CTO for workforce consulting and chief AI officer at PwC UK Consulting. “They’re embedding AI employees into what is a human operating model,” layering on AI agents to existing workplace structures when “this is like adding sticky tapes to parts of an operating model that is breaking.”

Doing so may be preventing organizations from unlocking the full value agentic AI offers, creating circumstances where disillusionment can quickly creep in. That full value lies in agents’ capacity to execute entire workflows with limited human input. They can coordinate complex tasks, make independent decisions, adjust to changing conditions, and iterate performance. 

In early proving grounds that span customer service, HR, and sales, it’s already estimated that AI agents could accelerate business processes by as much as 30% to 50% and low-value work time by 25% to 40% when deployed at scale. But with this capability comes greater complexity and the need for an enterprise-wide change.

Growing the AI vocabulary 

Enterprise agentic AI platform Ema describes this change as agentic business transformation (ABT), a term it coined last year in partnership with HFS Research, in an attempt to plug what it sees as a gap in the existing lexicon about AI agents, and to provide enterprises with a new framework with which to think about their own adoption of the technology. 

“None of the existing vocabulary captures the full scope of the change,” explains Ema CEO and founder Surojit Chatterjee. “Digital transformation was about moving from paper to software. AI transformation was about adding artificial intelligence to existing processes. Co-pilot is about AI assisting in various human tasks. But ABT is something categorically different: It’s the integration of AI agents into the fabric of the organization.” 

For Shah, the dedicated term (ABT) “helps drive the need to redesign an organization in its entirety: its operating model, its workflows, decision rights, and performance management systems.” He emphasizes that “everything that’s needed to ensure those agents are actually active participants in value creation, rather than just point tools or productivity aids.”

According to Ema, ABT encompasses three core pillars: an organization’s technology stack, its workforce, and the metrics used for success. 

AI agents as connective tissue

The first pillar of ABT is the technology stack. “Your existing tech stack was designed for human-operated, application-centric workflows,” says Chatterjee. “It needs to be reconsidered when the actor is an AI agent operating at machine speed across multiple systems simultaneously.”

 As AI agents are integrated into an organization, enterprises will need to pivot from a set of linear processes and steps, to rewiring work in a very different way, explains Shah. That’s because the value in AI agents isn’t as another layer in an existing technology stack but as a connective tissue, he explains, moving between or across layers to coordinate a high-level task or retrieve and interpret data from multiple discrete applications. AI agents can create “a true competitive differentiation for an enterprise” by making decisions based on this capacity to contextualize, he says. “That is where the next battleground will be.”

To build this connective tissue, leaders need to adapt their technology stack to surface higher quality decisions from AI agents, prioritizing access to multiple datasets and applications simultaneously to develop tacit knowledge. “Organizations that make this architectural shift become genuinely more adaptive,” says Chatterjee. “When a new business requirement emerges, you don’t wait six months for a software vendor to build a feature. You configure an AI employee using natural language and connect it to the systems it needs. The time from business to production workflow drops from months to days.”

The workforce, redesigned

As AI agents are deployed for more use cases, enterprise leaders must consider what this means for dynamics across their workforce, the second pillar of ABT.

Workforce structures today deviate little from the hierarchical model of the early days of industrialization. To maximize efficiency and scale, processes are standardized, tasks are clearly delineated between strategic business units (SBUs), and employees progress up through an organization based on their capacity to optimize output from teams below them. But with AI agents that can execute, coordinate, and optimize tasks—often without managerial coordination—the lines of that established hierarchy become blurred.

In a workforce that blends AI agents and human employees, managers will be freed up from many execution-based tasks but take on new responsibilities associated with managing hybrid teams. Managers “will need to be able to manage issues around trust, explainability, psychological safety, and even status dynamics” to navigate new tensions that could arise in a hybrid workforce, says Shah.

The impact of agentic AI on existing workforce structures goes far beyond the management layer, too. McKinsey predicts that by 2030, three-quarters of current jobs will require redesign, upskilling, or redeployment, and organizations will need to act swiftly to amend recruitment, retention, and remuneration. 

From output to outcome

Success metrics are the third and final pillar of ABT. 

As AI agents assume greater ownership of core enterprise processes, taking on collaborative roles alongside human employees, traditional workforce metrics that focus on activity or output—such as calls handled or reports filed—no longer make sense. 

“When you add AI employees into the workforce, activity metrics become meaningless or actively misleading,” says Chatterjee. “An AI employee can handle a thousand customer interactions in the time it takes a human to handle ten. If you measure success by interactions handled, you’ll conclude the AI is working brilliantly while missing whether any of those interactions actually drove customer satisfaction, retention, or revenue.” To correct this, enterprises must develop a new set of metrics that focus on outcome rather than output. That is, metrics on the broader benefits or changes achieved, rather than individual deliverables. 

For example, when one of Ema’s large enterprise customers overhauled its own metrics, switching from tool metrics like cost per query and AI accuracy, to outcomes like the percentage of contracts reviewed without human escalation, the measured ROI from agentic AI tripled within two quarters. The changes meant “this customer stopped building point solutions in high-volume, low-complexity workflows and started deploying AI employees where the outcome value was highest,” says Chatterjee.

Integrating new metrics may also require a complete reconfiguration of reward and talent management processes, as well as accountability and ownership within organizations, points out Shah. In human-AI teams, for example, although ethical and fiduciary responsibilities will likely remain with human employees, operational accountability will become significantly more diffused to reflect the systemic role of AI agents.

This change will raise new questions that senior leadership teams will need to wrestle with, Shah adds. They’ll need to consider: Who is accountable when an AI employee makes a mistake? What happens when AI and humans disagree? What guardrails should be erected to safeguard customers? 

Laying the groundwork for systems-level change

Systems-level change is gradual. These are complex lines of inquiry that experts continue to grapple with. But in kickstarting internal dialogue about the core pillars of ABT—the workforce, the technology stack, and the metrics by which success can be gauged—leaders can lay the groundwork for an enterprise better poised to embrace AI agents at a systems level and start to close the gap between their ambition and execution. 

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

A reality check on the AI jobs hysteria

Despite the growing hysteria over AI’s threat to white-collar jobs, there’s still scant evidence that the technology has had a large-scale impact on the labor market.

Analysis of US labor data shows that unemployment in occupations most exposed to AI is actually lower than in less-exposed jobs. There are also no signs that large numbers of workers are shifting from AI-threatened professions into supposedly safer manual-labor jobs.

It’s true that things aren’t great in the job market—but the question is why. Here’s what the data really says about AI and jobs.

—David Rotman

Opinion: It’s time to address the looming crisis in entry-level work

—Georgios Petropoulos, an assistant professor at the USC Marshall School of Business

AI has not yet produced mass unemployment. But it may be quietly weakening the first rung of the career ladder.

A recent Stanford study found that young workers in AI-exposed occupations suffered a sharp decline in employment after the spread of generative AI. The same pattern didn’t appear in low-exposure jobs, suggesting AI is replacing junior tasks that once gave young workers their first foothold.

It’s time to rethink how we train, prepare, and support young people entering the workforce. Read this op-ed on how job seekers, businesses, and society can adapt.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The Pope has called for governments to regulate AI 
In his first major teaching document, Pope Leo said AI must be “disarmed.” (BBC)
+ He warned that AI fuels war and misinformation. (CNN)
+ But could also “open up a horizon extending in all directions.” (Engadget)
+ Anthropic cofounder Chris Olah also spoke at the event. (Reuters $)

2 SpaceX has launched its biggest and most powerful rocket
The Starship V3 made its test flight debut two days after Elon Musk announced SpaceX’s IPO.(Guardian)+ SpaceX pulled off the launch, but not the landing. (Ars Technica)
+ The rocket could be key to SpaceX’s valuation. (Fortune $)
+ But rivals to the company are rising. (MIT Technology Review)

3 Huawei says it can make industry-leading chips within five years
The Chinese tech giant announced a breakthrough in chip design. (Reuters $)
+ Its progress underscores Beijing’s push to neutralize US sanctions. (NBC)
+ Chinese chip stocks rallied after the announcement. (Bloomberg $)

4 A new vaccine may protect against the Ebola strain behind the current crisis
Tests have shown promising results for the mRNA vaccine. (New Scientist)
+ Another Ebola vaccine that could be ready for trials in months. (BBC)
+ But vaccines face a new problem: their name. (MIT Technology Review)

5 A swimmer broke a world record at the ‘Steroid Olympics’
Athletes at the Enhance Games were encouraged to take dope. (Wired $)
+ Silicon Valley elites have backed the competition. (WP $)
+ Which fits right into 2026’s longevity vibes. (MIT Technology Review)

6 The EU plans to fine Google a massive antitrust penalty
For allegedly favoring its own services in search results. (CNBC)
+ It would be the largest penalty for breaching the Digital Markets Act. (Reuters $) 

7 US quantum computing subsidies may not be legal
Congressional critics say the funding has been misused. (Ars Technica)

8 AI is minting new billionaires—and workers want their share
The Samsung labor showdown reflects global concerns. (Rest of World)

9 China has launched artificial human embryos into orbit
To find out whether we can reproduce beyond Earth. (Gizmodo)

10 Jony Ives has designed Ferrari’s first fully-electric car
The legendary Apple designer has created a polarizing aesthetic. (FT $) 

Quote of the day

“Technology is never neutral, because it takes on the characteristics of those who devise, finance, regulate, and use it.” 

—Pope Leo issues a warning about AI in his first encyclical letter, entitled ‘Magnifica humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence.”

One More Thing

How climate vulnerability and the digital divide are linked

In Anacostia, a historic African-American section of Washington, DC, Monica Sanders is measuring Wi-Fi speeds. It’s below the FCC’s minimum to qualify as a broadband service. She then checks the temperature: 46.9 °F.

Sanders, an adjunct professor of law at Georgetown University, frequently records this combination of weak internet access and environmental conditions. Her work shows how underinvestment in infrastructure can leave underserved communities more exposed to climate risks like extreme heat and flooding.

Discover how the digital divide is shaping climate vulnerability in the US.

—Colleen Hagerty

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Here’s a joyful way to settle sibling squabbles: a mandatory dance-off.
+ Build the metropolis of your dreams in this browser-based city simulation game.
+ Watch this hypnotic tiny train move in a perfect, endless loop on a rotating turntable.
+ Take a nostalgic look at early computing history with this curated gallery of vintage punch cards.