China’s commerce ministry is reportedly targeting broader use of AI across the country’s consumer economy, unveiling 17 policy measures intended to push the technology beyond industrial applications.

State broadcaster CCTV reported the ministry will use the measures to embed AI into households and businesses, viewing the technology as a lever for economic stimulus.

As part of the plan, it is apparently looking at a fundamental shift in how consumer electronics are designed and sold.

The way devices operate is also a target, moving from functional tools towards AI-integrated systems.

Advancing humanoid robotics in the home is high on the agenda, and the sector has already gained government and private investment.

Chinese players including Unitree and Ubtech were cited as front-runners in the market. They are vying to establish themselves commercially in industrial and consumer spaces.

Structural issues
On the services side, China wants to expand AI’s presence in retail services to public and personal areas.

CCTV cited comments from Lin Jian, deputy director of the international trade cooperation institute at the ministry of commerce, who said the measures are designed to solve structural issues within the country’s services sector.

These include addressing challenges around high labour costs and poor standardisation in service consumption, added Lin.

Beijing is stepping up its AI plans, with Bloomberg reporting earlier this month the government is planning to invest $295 billion over the next five years to build out data centres in the country.

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Orange and the French Alternative Energies and Atomic Energy Commission (CEA) launched a joint laboratory to explore semantic communications, a technology designed to cut data traffic and energy use in future AI-driven networks.

The AI-Native Communications lab will run for five years and develop semantic communications technologies and applications, which prioritise whether the receiver understands the meaning or content of a transmitted message, even when the received data is not exactly identical to what was sent. This marks a shift away from conventional data transmission, where networks aim to reproduce bits perfectly and treat any alteration as an error.

The partners said the approach could reduce the volume of data exchanged across networks, lowering energy consumption and infrastructure requirements. The technology could also support communication between AI agents, which are expected to play a greater role in future network architectures.

The laboratory will also combine research from Orange and CEA to study network evolution, create shared semantic representations between AI models and contribute to future standards work.

Announced at the annual VivaTech event in Paris by Orange CEO Christel Heydemann and CEA general administrator Anne-Isabelle Etienvre, the pair said the initiative forms part of a broader push to strengthen French and European sovereignty over future intelligent network technologies.

Lyse Brillouet, EVP of research at Orange, said the joint laboratory reflects the operator’s commitment to building “the networks of the future: smarter, more sustainable, and natively designed for artificial intelligence”. She added the move was “a key step in reconciling the performance of our infrastructure with the need to reduce our future carbon footprint”.

Meanwhile, Etienvre stated semantic communications marked “a major breakthrough in how future networks will process information”, adding the collaboration aimed to strengthen Europe’s ability to “design and influence technological standards”.

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Anthropic CEO Dario Amodei and Google DeepMind’s Demis Hassabis reportedly lobbied for a US-led coalition to shape global AI rules, as Anthropic remained locked in negotiations with the Trump administration over export controls on its newest models.

CNBC reported that during a closed-door lunch at the G7 Summit attended by President Donald Trump and other world leaders, Amodei called for international cooperation to cover structured access to frontier models, a chip and critical components trade framework which excludes China and coordinated responses to AI risks in cybersecurity, bioterrorism and intelligence.

OpenAI CEO Sam Altman also called for a formal international forum to establish globally accepted testing standards, provide impartial analysis of AI capabilities and risks, and serve as a venue for cooperation among nations, according to an OpenAI briefing.

The outlet reported Canadian Prime Minister Mark Carney agreed the US could lead such a coalition, according to people familiar with the discussions.

In addition to Trump, Treasury Secretary Scott Bessent, Commerce Secretary Howard Lutnik and Secretary of State Marco Rubio were also in attendance.

Anthropic ban
The backdrop of the AI discussions was the export controls imposed by the Trump administration on Anthropic’s Fable 5 and Mythos 5 models, which went into effect on 12 June after the government cited national security concerns.

News sites have reported Anthropic is currently in negotiations with the Trump administration over the directive.

Financial Times (FT) reported the US decision alarmed European governments and Silicon Valley alike, while raising concerns even allied nations could be cut off from cutting-edge AI.

French President Emmanuel Macron stated the Anthropic dispute clarified what was at stake, warning if the US could “from one day to the next turn off the switch” it would ultimately damage the multitrillion-dollar US companies leading the global AI race.

Macron called for stronger AI regulation and a platform for democratic cooperation to establish common standards. Indian Prime Minister Narendra Modi stated democratic nations needed access to frontier models to protect critical infrastructure, according to people familiar with the discussions.

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Consulting company Deloitte is set to launch an AI Studio at its London campus in partnership with Google Cloud, a co-innovation hub designed to support the UK’s transition towards agentic AI.

Opening in late July, the studio will serve clients across financial services, the public sector, retail, healthcare and life sciences, and technology, media and telecommunications.

Deloitte is pitching the facility as a place where production-ready agentic solutions are built and delivered. Innovation labs hosted at the studio will allow clients to prototype and validate agentic AI systems in as little as four weeks, the company stated, compressing time-to-market for complex deployments.

For its retail clients, the aim is to move beyond generative AI chat interfaces toward sophisticated systems capable of modernising the customer journey end-to-end.

In healthcare and technology, media and telecommunications, the studio will focus on how agentic AI can reshape traditional business models and daily workflows rather than simply augmenting them.

Alongside the studio launch, Deloitte announced an upskilling plan to train 1,000 members of its UK AI and data workforce on Google Cloud’s Gemini Enterprise. The certification programme is designed to ensure Deloitte’s engineers are equipped to implement Google’s most advanced agentic architecture, giving UK clients access to what Deloitte described as one of the largest pools of certified AI talent in the region.

“Our clients are looking for more than just productivity gains — they want AI that can take action and drive real-world business outcomes,” stated Hayley McKelvey, chief AI officer for Deloitte UK, speaking at the Google Cloud London Summit. “This is about moving from curiosity to a new era of autonomous business operations.”

The London studio is in addition to Deloitte’s existing AI Experience Centres in Egypt and India.

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