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HP reveals advanced AI devices and workflow tools at Imagine 2026

HP has announced a broad set of AI-focused products and workplace tools at HP Imagine 2026, presenting the update as part of a wider effort to simplify work across PCs, collaboration devices, security systems, and workflow platforms.

In a press release published on 24 March, HP said the new portfolio includes AI PCs, collaboration tools, workstations, printers, and software intended for hybrid work and on-device AI use.

HP says the update includes a new intelligence layer called HP IQ, which it describes as a system designed to orchestrate work across AI PCs, workplace devices, and meeting spaces through local AI and proximity-based connectivity.

The company also announced new EliteBook devices, workstation updates, and workflow automation changes through its Workforce Experience Platform and Build Workspace capabilities.

Several sections of the release focus on on-device AI. According to the company, HP IQ will debut on the next generation of EliteBook X G2 AI PCs and will support features such as prompt-based assistance, document analysis, note organisation, and meeting support.

The release also says NearSense is intended to help devices discover, connect, and collaborate, including through file sharing and one-click joining of conference room meetings.

Security is another central theme in the release. HP says it has introduced what it describes as the world’s first hardware solution to stop physical TPM bypass attacks, using a cryptographically bound link between the TPM and CPU.

The company also said it is expanding capabilities in HP Wolf Security and introducing HP Wolf Pro Security Next Gen Antivirus, as well as physical intrusion detection designed to protect memory if a device chassis is opened.

The announcement also includes new printers and document tools. HP says the LaserJet Pro 4000 and 4100 series, and the LaserJet Enterprise 5000 and 6000 series, are intended to support AI-powered document processing and quantum-resistant security. The release also highlights scanning shortcuts, editable OCR, reduced management time, and a design intended to improve serviceability.

For higher-performance users, the company says it is launching a new generation of Z workstations and mobile workstations. The release refers to systems such as the Z8 Fury, Max Side Panel for Z8 Fury and Z4 workstations, and updated mobile workstation models. Advanced AI development, visual effects, and simulation workloads are among the uses cited in the announcement.

Beyond enterprise work, the release also extends the same AI and device strategy into gaming. New HyperX and OMEN products are part of the announcement, including desktops, a gaming and modular ecosystem, and expanded AI game support through OMEN Gaming Hub and OMEN AI.

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Microsoft and NVIDIA unveil AI tools for nuclear energy permitting and operations

Microsoft has announced an AI collaboration with NVIDIA to support nuclear energy projects across permitting, design, construction, and operations. In a post published on 24 March, the tech conglomerate said the initiative aims to provide end-to-end tools for the nuclear sector, focusing on streamlining permitting, accelerating design, and optimising operations.

Microsoft frames the effort within a broader energy challenge, arguing that rising power demand and long project timelines are putting pressure to accelerate the delivery of firm, carbon-free power. The company says customised engineering, fragmented data, and manual regulatory review slow nuclear projects. It presents AI as a way to make project development more repeatable, traceable, secure, and predictable.

The post says the collaboration spans the full lifecycle of a nuclear plant. Microsoft describes a model in which digital twins, high-fidelity simulations, and AI-assisted workflows support design and engineering, licensing and permitting, construction and delivery, and operations and maintenance.

According to the company, engineers would be able to reuse design patterns, model the impact of changes before construction begins, and link project decisions to supporting evidence and applicable rules. Microsoft also says generative AI can assist with drafting and gap analysis in permit documentation, while predictive modelling and operational digital twins can support anomaly detection and maintenance planning.

Microsoft says traceability and auditability are central to the approach. The company lists four intended qualities of the system: traceable records linking engineering decisions to evidence and regulations, audit-ready documentation, secure use within a governed environment, and predictable outcomes through simulations intended to identify delays before they occur in the real world.

Several case examples are included in the post. Microsoft says Aalo Atomics reduced the permitting process by 92% using its Generative AI for Permitting solution and estimates annual savings of 80$ million.

Aalo Atomics Chief Technology Officer Yasir Arafat is quoted as saying: ‘Two things matter most: enterprise-scale complexity and mission-critical reliability. We’re deploying something complex at a scale only a company like Microsoft really understands. There’s no room for anything less than proven reliability.’

Microsoft also says Southern Nuclear has deployed Copilot agents across engineering and licensing workstreams to improve consistency, reuse knowledge faster, and support decision-making. Idaho National Laboratory is described as an early adopter in the US federal context, with Microsoft saying the lab is using AI capabilities to automate the assembly of engineering and safety analysis reports and to create standard methodologies for regulators to adopt the tools safely.

The post also expands beyond those three examples. Microsoft says Everstar, described as an NVIDIA Inception startup, is bringing domain-specific AI for nuclear to Azure to support project workflows and governed data pipelines.

Everstar Chief Executive Officer Kevin Kong is quoted as saying: ‘The nuclear industry has been bottlenecked by documentation burden and regulatory complexity for decades. This partnership means our customers get the secure, scalable cloud deployments they demand. It’s a significant step toward making nuclear power fast, safe, and unstoppable.’

Microsoft also says Atomic Canyon’s Neutron platform is available on the Microsoft Marketplace for nuclear developers via established procurement channels.

At the technical level, Microsoft says the collaboration brings together NVIDIA Omniverse, NVIDIA Earth-2, NVIDIA CUDA-X, NVIDIA AI Enterprise, PhysicsNeMo, Isaac Sim, and Metropolis with Microsoft Generative AI for Permitting Solution Accelerator and Microsoft Planetary Computer. The company presents the stack as a digital ecosystem for nuclear energy on Azure.

The official post is a corporate announcement rather than an independent assessment of the approach’s effectiveness. The published note outlines the company’s intended use cases, named partners, and customer examples, but it does not provide a third-party evaluation of the broader claims regarding delivery speed, regulatory confidence, or sector-wide impact.

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EU strengthens semiconductor strategy through Chips Act dialogue

Executive Vice-President Henna Virkkunen will host a high-level dialogue in Brussels to assess the implementation of the European Chips Act Regulation and gather industry feedback ahead of its planned revision.

Stakeholders from across the semiconductor ecosystem are expected to exchange views and present recommendations to shape future policy direction.

An initiative that forms part of the broader strategy led by the European Commission to reinforce technological sovereignty and competitiveness, rather than relying heavily on external suppliers.

The Chips Act seeks to strengthen Europe’s semiconductor ecosystem, improve supply chain resilience, and reduce strategic dependencies in critical technologies.

The dialogue follows a public consultation and call for evidence conducted in autumn 2025, with findings set to inform the upcoming legislative revision.

Industry representatives will provide direct input through a report outlining challenges, opportunities, and proposed policy adjustments, contributing to a more targeted and effective framework for semiconductor development.

Looking ahead, the revision of the Chips Act will be integrated into a wider Technological Sovereignty package designed to boost the capacity of Europe’s digital industries.

By combining stakeholder engagement with policy reform, the European Commission aims to ensure that semiconductor innovation and production can expand across the EU rather than remain constrained by reliance on external suppliers.

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Brain inspired chip could cut AI energy use by up to 70%

Researchers at the University of Cambridge have developed a nanoelectronic device to reduce energy consumption in AI hardware. The team, led by Dr Babak Bakhit, designed the system to mimic how the human brain processes information.

The device uses a new form of hafnium oxide to create a stable, low-energy memristor. It processes and stores data in the same location, similar to how neurons function in the brain.

To achieve this, the researchers added strontium and titanium to form internal electronic junctions. This allows the device to change resistance smoothly without relying on unstable conductive filaments.

Tests showed the device operates with switching currents up to a million times lower than some conventional technologies. It also demonstrated stable multi-level states required for advanced in-memory computing.

The team said the approach could reduce AI hardware energy use by up to 70%. The findings were published in the journal Science Advances.

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Terafab initiative from Elon Musk targets AI and space computing

Elon Musk unveiled his ambitious Terafab project in Austin, describing it as the ‘most epic chip-building exercise in history.’ The initiative, led by Tesla, xAI, and SpaceX, aims to produce 1 trillion watts of compute power annually, much of it intended for space applications.

The project will start with a state-of-the-art semiconductor manufacturing facility in Austin, supporting AI development, humanoid robotics, and space data centres. Musk highlighted current supply chain limitations, stating that building Terafab is essential to secure the chips his companies need.

Musk also shared his vision for a future shaped by ‘amazing abundance.’ Plans include launching satellites from the lunar surface and enabling civilian space travel to destinations such as Saturn, blending cutting-edge technology with long-term space ambitions.

Terafab represents a bold attempt to merge AI, robotics, and space exploration, positioning Musk’s companies at the forefront of next-generation technology and extraterrestrial innovation.

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Growing investment and energy plans reshape Armenia’s AI future

Armenia’s recent technology announcements are helping to form a clearer national AI strategy with stronger coordination. A memorandum with the US on semiconductors and AI now appears to be moving beyond symbolic commitment into action.

Momentum has accelerated with plans to expand a large-scale AI factory backed by significant investment. The project is estimated at around $4 billion and includes tens of thousands of advanced GPUs to support large-scale development.

The initiative is already entering construction, marking a shift from concept to execution in a short timeframe. Officials have described a broader vision of building a network of AI factories across the country.

Energy planning is becoming central, with discussions around deploying a small modular nuclear reactor to meet demand. Stable and scalable power is considered essential for sustaining long-term AI infrastructure growth.

Efforts are also targeting the wider ecosystem through a Virtual AI Institute and planned GPU access for startups. These steps aim to strengthen research capacity and ensure local participation in the country’s AI expansion.

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Memory chip shortage could last until 2030, SK chairman warns

Chey Tae-won warned that the global memory chip shortage could last for years, with structural supply constraints likely to continue into the next decade. Speaking on the sidelines of Nvidia GTC 2026 in San Jose, he said limited wafer capacity remains a key bottleneck for the semiconductor industry.

‘The shortage stems from a lack of wafer capacity, and securing additional wafers takes at least four to five years,’ Chey said. ‘We expect the industry-wide supply shortfall to persist at over 20 percent through 2030.’

He added that SK Hynix is implementing initiatives such as adjusting production schedules and diversifying supplier partnerships to stabilise prices. CEO Kwak Noh-jung is expected to provide further details on these new steps to manage volatility linked to the memory chip shortage.

Despite growing pressure to expand manufacturing overseas, Chey stressed that the group will prioritise domestic production to better respond to the ongoing memory chip shortage. ‘Building capacity outside Korea takes the same amount of time, regardless of location,’ he said. ‘Korea already has the infrastructure in place, allowing for a much faster response.’

He also highlighted the challenges of building fabrication plants abroad, including the need for reliable electricity and water supplies, as well as access to skilled engineering talent.

On competition in the high-bandwidth memory market, Chey noted that rising demand driven by artificial intelligence is reshaping supply dynamics. ‘AI requires graphics processing units (GPUs), and GPUs require HBM. We will do our best,’ he said, while cautioning that excessive focus on HBM could worsen the memory chip shortage for conventional DRAM used in smartphones and personal computers.

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EU delays tech sovereignty package with AI and Chips Act 2

The European Commission has delayed a flagship tech sovereignty package for the second time, according to its latest College agenda. The measures are now scheduled for adoption on 27 May, after previously being postponed from March to April.

The tech sovereignty package includes several major initiatives aimed at strengthening EU tech sovereignty, such as the Cloud and AI Development Act, the Chips Act 2, an open-source strategy, and a roadmap for digitalisation and AI in energy. European Commission officials have not provided a reason for the latest delay.

The Cloud and AI Development Act is expected to define what constitutes a ‘sovereign’ cloud and simplify rules for building data centres. The proposal is designed to accelerate infrastructure development as Europe seeks to compete in the global AI race.

Chips Act 2 will follow up on the EU’s earlier semiconductor strategy, which struggled to boost domestic chip production significantly. The new proposal is expected to refine industrial policy efforts to reduce reliance on foreign suppliers.

Meanwhile, the planned open source strategy aims to support European software ecosystems and reduce dependence on large US technology firms. By encouraging commercially viable open source projects, the EU hopes to strengthen its long-term digital autonomy.

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AI and robotics could offset impact of aging populations in Asia

Declining fertility rates have long been considered a major risk to economic growth, but analysts suggest the outlook may not be entirely negative for several advanced Asian economies. Rising investment in AI and robotics is increasingly viewed as a way to offset labour shortages caused by ageing populations.

According to analysts at Bank of America Global Research, technological innovation driven by AI and robotics could support productivity growth even as workforces shrink. Strong ecosystems in semiconductors, technology hardware, and industrial machinery allow some countries in the region to deploy advanced technologies faster and at lower cost than many other parts of the world.

South Korea currently has the highest robot density in the world, with about 1,012 industrial robots per 10,000 manufacturing workers. Chi n a has 470 and Japan 419, both significantly above the global average of 162, according to 2024 figures from the International Federation of Robotics.

Analysts say governments across East Asia are accelerating the adoption of AI and robotics to address demographic pressures. In particular, China, South Korea, and Japan have expanded investments in robotics, AI systems, and advanced manufacturing technologies to maintain economic productivity.

Population projections highlight the scale of the challenge facing these economies. By 2050, about 37 percent of Japan’s population and nearly 40 percent of South Korea’s population are expected to be aged 65 or older, while China’s share could reach around 31 percent.

Despite concerns about slowing growth, economists argue that advances in AI and robotics could weaken the traditional link between economic output and workforce size. Automation technologies not only replace routine tasks but also enhance human productivity in many industries.

A study by the Bank of Korea estimated that demographic pressures could reduce the country’s gross domestic product by 16.5 percent between 2023 and 2050. However, wider adoption of AI and robotics could limit the decline to around 5.9 percent under favourable conditions.

Some analysts caution that the economic benefits of automation may not be evenly distributed. While AI and robotics can improve productivity, technological gains often benefit capital owners and highly skilled workers more than others.

Economists also warn that consumption may slow as the number of households declines, while governments may face greater fiscal pressure from higher pension and healthcare costs. Policymakers may need to invest in workforce retraining and education to help workers adapt to the growing role of AI and robotics in the economy.

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China prioritises AI and tech self-reliance in new five-year plan

A new five-year development plan approved by lawmakers in Beijing places innovation and advanced technology at the centre of future economic growth. The strategy is designed to strengthen technological capabilities and position China as a leading global tech power.

The plan outlines ambitions to upgrade China’s industrial sector, expand domestic research capacity, and reduce reliance on foreign technologies. Priority sectors include AI, robotics, aerospace, biotechnology, and quantum computing. Officials see these industries as key drivers of economic growth over the coming decades.

AI features prominently in the strategy, with the term appearing dozens of times in the policy document. Beijing plans to expand AI-related industries, invest in large computing clusters, and support the development of advanced systems capable of performing complex tasks beyond traditional chatbots.

China also aims to increase spending on science and technology, with government research budgets rising by around 10 percent annually. The plan sets a target of expanding research and development investment by at least 7 percent per year, reflecting Beijing’s intention to strengthen domestic innovation capacity.

Efforts to achieve greater technological self-sufficiency come amid continued tensions with the United States over trade and technology restrictions. Export controls on advanced semiconductor technologies have highlighted China’s dependence on foreign chips, prompting the government to pursue breakthroughs across the semiconductor supply chain and emerging technologies.

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