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Survey finds AI speed outpaces enterprise resilience

11 September 2026 at 09:16

Mid-sized and large US enterprises face a widening gap in operational stability, with nine out of 10 organisations failing to detect third-party or supply chain disruptions until operations are actively impacted.

According to research from Economist Enterprise supported by AT&T Business, enterprise resilience strategies fall short where network connections, vendor systems and rapid digital deployments intersect.

The company surveyed 1,020 senior technology and operations executives to evaluate modern operational risks. The research identifies five key areas where resilience strategies are falling short of disruption risks.

The study found resilience priorities do not match disruption realities. Cybersecurity receives the largest share of spending, even though over one-third of the organisations cite third-party and supply chain failures as the primary driver of their most significant disruptions.

It also found trust stands in for verification. Over half of respondents assess the resilience of critical technology suppliers based on market reputation or assurances rather than empirical evidence or rigorous technical testing.

While larger companies have more resources, they also have more ground to cover. Despite having bigger budgets and specialised talent, only 5% of large enterprises avoided a major technology incident over the past year, compared to 27% of mid-market firms, largely due to legacy infrastructure and complex ecosystems.

Survey results indicate that AI adoption is moving faster than resilience preparation. Although relatively few (4%) companies identified AI or automation failures as the cause of their most significant disruption, the research shows organisations further along the AI adoption curve have already experienced at least one AI-related incident last year. Overall, preparedness for AI-related risks remains behind many other resilience capabilities.

It also found highly resilient organisations actively learn from past incidents, maintain clear executive ownership and regularly test recovery plans. While most companies practice cyber response, only 15% rehearse for wider geopolitical or supply chain disruptions.

Key
Zee Hussain, SVP of Global Enterprise Solutions at AT&T Business, emphasised technology resilience has evolved beyond traditional IT management into a core business strategy.

“Organisations that invest in visibility, resilient connectivity, and recovery readiness are better positioned to maintain customer trust, respond to disruption, and adapt to change,” he stated.

The findings are based on an Economist Enterprise survey of executives at mid-sized and large US enterprises across seven sectors, conducted between June and July 2026.

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Apple’s Ternus era opens with innovative iPhone Duo, privacy-first AI, says BofA analyst

10 September 2026 at 19:30
Apple's revolutionary iPhone Duo
Apple’s revolutionary iPhone Duo

Bank of America says John Ternus’ first major product launch as Apple CEO reinforced the company’s bet on hardware innovation, privacy, and more personalized, privacy-focused artificial intelligence.

Wamsi Mohan, Bank of America’s managing director and senior equity research analyst covering Apple, told Bloomberg Tech host Ed Ludlow that the new foldable iPhone Duo expands Apple’s addressable market. The book-style device, unveiled at Ternus’s debut event, opens to a 7.6-inch inner display from a 5.4-inch cover screen and starts at $1,999. Mohan framed it as more than a form-factor change: a way to pull new users and use cases into Apple’s ecosystem while keeping the iPhone at the center of the company’s strategy.

On AI, Mohan pointed to Apple’s split architecture. On-device processing handles as much as possible on Apple Silicon. When more compute is needed, Private Cloud Compute is designed to run larger models without sacrificing user privacy. That combination, he said, could make Siri more capable (able to work across apps and personal context) without the data-collection trade-offs seen in rivals’s offerings. Ternus used the launch to pitch the iPhone as an “intelligent personal hub,” with Siri positioned as a core interface rather than a bolt-on chatbot.

The message from BofA is continuity plus acceleration. Tim Cook’s era was iterative, built a vast installed base, services revenue, and supply-chain scale. Ternus, the longtime hardware chief who took over September 1st, is expected to keep that machine running while pushing devices that embed AI more tightly — foldables now, and later categories such as smarter wearables and home products. Mohan has maintained a Buy rating, arguing Apple can cement device dominance if silicon, privacy, operating systems, and personal context stay tightly integrated.
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OpenAI swaps $1 government pricing for 50% discount

10 September 2026 at 16:26

OpenAI reportedly pulled the plug on its pilot programme which let US federal agencies use its models for just $1 per year, shifting instead to a usage-based pricing system to offer government workers a 50% discount off standard rates.

Bloomberg reported the shift concludes a deal struck in August 2025 between OpenAI and the US General Services Administration (GSA), under which the agency’s OneGov marketplace let federal entities access ChatGPT Enterprise for a nominal $1 per agency for one year. GSA also issued an Authority to Use for ChatGPT Enterprise as part of the programme.

The offer came shortly after GSA added OpenAI, Anthropic and Google to its list of approved AI vendors for civilian federal agencies, including an additional 60-day period for unlimited use of advanced features.

The news agency noted the arrangement represented the steepest technology discount GSA’s central purchasing arm had negotiated to date, which was scheduled to conclude on 30 September 2026.

The new agreement with the government is set to take effect on 1 October, lasting more than two years, according to Bloomberg.

Uptake
According to GSA figures cited by the news site, 3.5 million federal employees ultimately used ChatGPT under the pilot programme, generating $1.4 billion in claimed cost savings.

When the arrangement was first announced, OpenAI stated over 90,000 users across more than 3,500 US federal, state, and local government agencies sent more than 18 million messages on ChatGPT to support their day-to-day work dating back to 2024.

GSA’s public OneGov listings still show the original $1-per-agency pricing, with an expiration date of 30 September 2026, while OpenAI’s own government page had not been updated to reflect the shift.

The pilot was part of a broader push by GSA under its OneGov strategy to secure discounted access to frontier AI tools for federal agencies.

Alongside the OpenAI deal, GSA struck similar arrangements with Anthropic, offering Claude for Enterprise and Claude for Government at $1 across the executive, legislative and judicial branches, and with Google, offering Gemini for Government at $0.47 per agency.

The news site noted those agreements are also due to expire on 30 September 2026, with no successor terms yet made public for either company

The initial round of dollar-a-year deals was key to the Trump Administration’s America’s AI Action Plan, which aimed to accelerate AI adoption across federal government.

Bloomberg reported the move to usage-based pricing could mean OpenAI is looking to convert pilot-stage government adoption into a more sustainable commercial relationship, as the company works to build out revenue ahead of a planned public listing.

The post OpenAI swaps $1 government pricing for 50% discount appeared first on Mobile World Live.

Analog Devices targets edge AI with Alif deal

10 September 2026 at 10:07

Analog Devices struck a deal to acquire Alif Semiconductor in an all-cash deal worth $1.4 billion, as the analogue chip maker moves to bolster its edge AI capabilities.

The deal adds Alif’s AI-native microcontrollers and fusion processors, which combine low-power neural processing with connectivity, security and power management on a single chip.

Analog Devices stated the technology would advance “Physical Intelligence”, enabling systems to sense, reason and act locally in real time while meeting demanding power, latency, security and reliability constraints.

It positioned the deal as a response to the expansion of AI capabilities beyond interpreting text and images toward characterising real-world signals including motion, sound, vibration, radio waves and thermodynamics.

By combining its expertise in sensing, signal processing, power and connectivity with Alif’s digital processing platform, customers can build complete system-level solutions rather than sourcing components separately, Analog Devices explained.

CEO Vincent Roche explained AI is moving out of the data centre and into the physical world, where latency, power and trust cannot be compromised and described the deal as central to what he called the next frontier of embodied, deterministic AI.

Analog Devices stated Alif’s silicon is already shipping in production, with design wins across consumer and industrial customers.

The company expects the acquisition to widen its addressable market across industrial, data centre infrastructure, defence, energy, robotics, digital health and wearable applications.

The transaction was approved by both companies’ boards and includes up to $200 million in additional contingent consideration.

It is expected to close before the end of 2026, subject to regulatory approvals.

Analog Devices arranged an all-cash acquisition of Empower Semiconductor for $1.5 billion in May aimed at improving power density for AI compute.

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