Tech Intelligence Copy RSS link Link copied to clipboard!
US administration accelerates campaign to assert control over global AI supply chain
The Trump administration is accelerating efforts to control the global AI supply chain, treating computational infrastructure with protections similar to semiconductors and nuclear technology. A leaked State Department cable accuses Chinese companies of extracting proprietary models, while the Pentagon, under Secretary Pete Hegseth, implements a phase-out of Anthropic's Claude models. Officials are considering extraordinary legal mechanisms, including wartime authorities, to compel access to proprietary AI systems, reinforcing a national AI security framework.
Department of the Air Force issues new workforce plan to build AI-ready force
The Department of the Air Force has introduced a comprehensive strategy to recruit, train, and retain professionals capable of utilizing artificial intelligence. Issued by the DAF Chief Data and AI Office, the plan outlines a multi-pronged approach including streamlined hiring, competitive financial incentives, and a dual-track career model to retain technical experts. The initiative aims to establish baseline AI literacy across the force and secure dominance in air and space domains, aligning with broader Department of War AI strategies.
AI chip shortage drives record investments and pricing power for memory makers
Surging demand for AI memory chips has created a structural shift in the semiconductor market, granting suppliers like SK Hynix and Samsung significant pricing power. Major technology companies are securing long-term contracts to ensure supply for data centres. Manufacturers are committing massive capital expenditure to expand capacity, with analysts predicting supply constraints will persist until at least 2028. The shortage is viewed as a strategic resource issue, impacting global infrastructure and energy markets.
NCC Group warns AI is biggest cyber threat to CISOs
NCC Group analysis identifies artificial intelligence as the primary threat to chief information security officers, driven by criminal use for social engineering and internal weaknesses from unsecure AI adoption. The review noted 2,112 ransomware attacks in the first quarter, with industrial companies suffering 643 incidents. North America accounted for 52% of attacks. Matt Hull, vice president of cyber intelligence at NCC Group, emphasised that resilient organisations must prioritise basic security controls and board-level focus despite the evolving threat landscape.
Cooling struggles to keep pace with AI infrastructure density
Thermal management is emerging as a critical bottleneck for scaling AI data centers, with traditional air cooling systems failing to handle power densities exceeding 200 kilowatts per rack. Industry experts from Cisco, Schneider Electric, and McKinsey highlight a significant gap between current facility readiness and the requirements of next-generation AI workloads. While liquid cooling adoption is increasing, uneven implementation, retrofitting complexities, and fragmented standards are slowing deployment timelines and influencing site selection. The convergence of power and cooling demands necessitates a fundamental shift in infrastructure design to prevent performance degradation and system instability.
Regulators focus on resilience as threat of devastating cyber-attacks grows
Regulatory bodies are increasingly prioritising operational resilience for businesses facing a complex cybersecurity landscape driven by artificial intelligence, new hacking gangs, and geopolitical volatility. The EU, UK, and US are implementing stricter frameworks, including NIS2, DORA, and the Cyber Security and Resilience Bill, to ensure recovery from attacks. Concurrently, budget cuts and leadership departures at US cyber agencies like the NSA and FBI have raised concerns about reduced proactive intelligence gathering. Boards are under pressure to define recovery time objectives and maintain robust incident response plans to mitigate legal and reputational risks.
California Governor Newsom issues executive order expanding AI oversight through state procurement
California Governor Gavin Newsom issued Executive Order N-5-26, directing state agencies to develop new standards for artificial intelligence procurement. The order requires vendors to demonstrate controls for harmful content, algorithmic bias, and civil rights impacts. It authorizes independent supply chain risk assessments, potentially conflicting with federal determinations. This framework aims to regulate AI developers seeking state contracts through certification and disclosure requirements.
US DAF approves new workforce plan to enhance AI dominance
The US Department of the Air Force (DAF) has approved a new Total Force plan to recruit, train, and retain artificial intelligence professionals. Aligned with the Department of War's AI Strategy, the initiative streamlines hiring, introduces financial incentives, and establishes a Dual-Track Career Model to prevent talent migration to the private sector. The plan focuses on developing a workforce with proven AI competencies to bolster national security and maintain a competitive advantage in the global AI landscape.
IARPA launches five AI-focused research programs
IARPA has launched five new artificial intelligence research programs under its Emerging Technology Accelerator framework. The initiative aligns with the ODNI 2.0 strategy to accelerate technology transition and private sector collaboration. Director Russell Miller stated the agency aims to tap commercial innovation for mission-critical capabilities. The programs include ARCADE, COSMIC, DECIPHER, LocUS, and MOVES, utilizing other transaction agreements to streamline engagement and reduce barriers for industry participants.
Federal agencies turn to AI factories as cloud limits emerge
Federal agencies scaling artificial intelligence are increasingly adopting dedicated 'AI factories' due to limitations in cloud-only strategies regarding cost, control, and resilience. Speakers from Leidos, NVIDIA, Dell Technologies, and Sterling highlighted the necessity of this shift during a Government Executive Media Group discussion. The move addresses security concerns for sensitive data and the high costs of continuous workloads in the cloud. While cloud environments support demand spikes, on-premise systems handle steady-state inference. Panelists emphasised that these factories require careful planning for power and infrastructure, with the human element and defined use cases being the starting point for implementation.
India's CERT-In warns of AI-driven cyber threats
India's cybersecurity watchdog CERT-In has issued a warning regarding the rise of artificial intelligence in cyberattacks. The advisory states that AI enables faster, scalable attacks accessible to less skilled individuals, posing significant risks to micro, small, and medium enterprises (MSMEs). CERT-In recommends deploying robust threat detection, continuous monitoring, and prompt patch management to enhance resilience against these automated threats.