Taiwan aims to train 500,000 AI professionals

Taiwan aims to train 500,000 AI professionals by 2040, backed by a NT$100 billion (US$31.6 billion) government venture fund. President Lai Ching-te announced the 2026 AI talent forum in Taipei.

The government’s 10-year AI plan includes a national computing centre and the development of technologies such as silicon photonics, quantum computing, and robotics. President Lai said that national competitiveness depends on both chipmaking and citizens’ ability to utilise AI across various disciplines.

To achieve these goals, AI training courses are being introduced for public sector employees, and students are being encouraged to acquire AI skills. The initiative aims to foster cooperation between government, industry, and academia to drive economic transformation.

With a larger pool of AI professionals, Taiwan hopes to help small and medium-sized enterprises accelerate digital upgrades, enhance innovation, and strengthen the nation’s global competitiveness in emerging technologies.

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Google brings AI to personalised shopping

Google is working with major retailers to use AI in guiding customers from product discovery to checkout. The company has launched the Universal Commerce Protocol, an open standard for seamless agentic commerce that keeps retailers in control of customer relationships.

The Universal Commerce Protocol works with existing systems and partners, including Shopify, Etsy, Wayfair, Target, and Walmart.

Customers can receive personalised offers, loyalty rewards, and recommendations in Google Search or Gemini, completing purchases via Google Pay without leaving the platform.

To support retailers, Google has launched Gemini Enterprise for Customer Experience, which unifies search, commerce, and service touchpoints across all channels.

Early partners, such as The Home Depot and McDonald’s, are already utilising AI-powered agents to enhance service, provide proactive recommendations, and improve customer engagement.

Logistics also feature prominently, with Wing expanding delivery capabilities alongside Walmart, doubling operations in existing markets, and rolling out to Houston, Orlando, Tampa, Charlotte, and other cities.

Google aims to create an end-to-end shopping ecosystem where AI, agentic protocols, and seamless delivery elevate both customer and retailer experiences.

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OpenAI and SoftBank back a $1 billion AI data centre energy partnership

SoftBank Group and OpenAI announced a strategic partnership with SB Energy, involving a combined investment of $1 billion to support the development of large-scale AI data centres and energy infrastructure in the US.

The agreement forms part of the broader Stargate initiative, which aims to expand domestic AI computing capacity.

As part of the arrangement, OpenAI signed a lease for a 1.2 gigawatt data centre project in Milam County, Texas, with SB Energy selected to develop and operate the facility.

The partners stated that the project is designed to support the rising demand for AI computing while minimising water usage and enhancing local energy supply.

SB Energy also secured an additional $800 million in redeemable preferred equity from Ares, strengthening its financial position for further expansion.

The companies stated that the collaboration is expected to generate construction employment, long-term operational roles and investment in grid modernisation, while establishing a scalable model for future AI-focused data centre developments.

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xAI plans $20 billion data centre investment in Mississippi

The US AI company, xAI, plans to establish a large-scale data centre in Southaven, Mississippi, representing an investment of more than $20 billion. The project is expected to create several hundred permanent jobs across DeSoto County.

xAI has acquired an existing facility that will be refurbished to support data centre operations, located near additional energy and computing infrastructure already linked to xAI.

Once operational, the Southaven site in the US is expected to expand the company’s overall computing capacity significantly.

State and local authorities approved incentive measures for the project, including tax exemptions available to certified data centres.

Officials indicated that the investment is expected to contribute to local tax revenues supporting public services and infrastructure, while operations are scheduled to begin in February 2026.

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Why data centres are becoming a flashpoint in US towns

As AI and cloud computing drive unprecedented demand for digital infrastructure, Big Tech’s rapid expansion of data centres is increasingly colliding with resistance at the local level. Across the United States, communities are pushing back against large-scale facilities they say threaten their quality of life, environment, and local character.

Data centres, massive complexes packed with servers and supported by vast energy and water resources, are multiplying quickly as companies race to secure computing power and proximity to electricity grids. But as developers look beyond traditional tech hubs and into suburbs, small towns, and rural areas, they are finding residents far less welcoming than anticipated.

What were once quiet municipal board meetings are now drawing standing-room-only crowds. Residents argue that data centres bring few local jobs while consuming enormous amounts of electricity and water, generating constant noise, and relying on diesel generators that can affect air quality. In farming communities, the loss of open land and agricultural space has become a significant concern, as homeowners worry about declining property values and potential health risks.

Opposition efforts are becoming more organised and widespread. Community groups increasingly share tactics online, learning from similar struggles in other states. Yard signs, door-to-door campaigns, and legal challenges have become common tools for advocacy. According to industry observers, the level of resistance has reached unprecedented heights in infrastructure development.

Tracking groups report that dozens of proposed data centre projects worth tens of billions of dollars have recently been delayed or blocked due to local opposition and regulatory hurdles. In some US states, more than half of proposed developments are now encountering significant pushback, forcing developers to reconsider timelines, locations, or even entire projects.

Electricity costs are a major concern, fueling public anger. In regions already experiencing rising utility bills, residents fear that large data centres will further strain power grids and push prices even higher.

Water use is another flashpoint, particularly in areas that rely on wells and aquifers. Environmental advocates warn that long-term impacts are still poorly understood, leaving communities to shoulder the risks.

The growing resistance is having tangible consequences for the industry. Developers say uncertainty around zoning approvals and public support is reshaping investment strategies. Some companies are choosing to sell sites once they secure access to power, often the most valuable part of a project, rather than risk prolonged local battles that could ultimately derail construction.

Major technology firms, including Microsoft, Google, Amazon, and Meta, have largely avoided public comment on the mounting opposition. However, Microsoft has acknowledged in regulatory filings that community resistance and local moratoriums now represent a material risk to its infrastructure plans.

Industry representatives argue that misinformation has contributed to public fears, claiming that modern data centres are far cleaner and more efficient than critics suggest. In response, trade groups are urging developers to engage with communities earlier, be more transparent, and highlight the economic benefits, such as tax revenue and infrastructure investment. Promises of water conservation, energy efficiency, and community funding have become central to outreach efforts.

In some communities, frustration has been amplified by revelations that plans were discussed quietly among government agencies and utilities long before residents were informed. Once disclosed, these projects have sparked accusations of secrecy, accelerating public distrust and mobilisation.

Despite concessions and promises of further dialogue, many opponents say their fight is far from over. As demand for data centres continues to grow, the clash between global technology ambitions and local community concerns is shaping up to be one of the defining infrastructure battles of the digital age.

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Gmail enters the Gemini era with AI-powered inbox tools

Google is reshaping Gmail around its Gemini AI models, aiming to turn email into a proactive assistant for more than three billion users worldwide.

With inbox volumes continuing to rise, the focus shifts towards managing information flows instead of simply sending and receiving messages.

New AI Overviews allow Gmail to summarise long email threads and answer natural language questions directly from inbox content.

Users can retrieve details from past conversations without complex searches, while conversation summaries roll out globally at no cost, with advanced query features reserved for paid AI subscriptions.

Writing tools are also expanding, with Help Me Write, upgraded Suggested Replies, and Proofread features designed to speed up drafting while preserving individual tone and style.

Deeper personalisation is planned through connections with other Google services, enabling emails to reflect broader user context.

A redesigned AI Inbox further prioritises urgent messages and key tasks by analysing communication patterns and relationships.

Powered by Gemini 3, these features begin rolling out in the US in English, with additional languages and regions scheduled to follow during 2026.

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EU faces pressure to strengthen Digital Markets Act oversight

Rivals of major technology firms have criticised the European Commission for weak enforcement of the Digital Markets Act, arguing that slow procedures and limited transparency undermine the regulation’s effectiveness.

Feedback gathered during a Commission consultation highlights concerns about delaying tactics, interface designs that restrict user choice, and circumvention strategies used by designated gatekeepers.

The Digital Markets Act entered into force in March 2024, prompting several non-compliance investigations against Apple, Meta and Google. Although Apple and Meta have already faced fines, follow-up proceedings remain ongoing, while Google has yet to receive sanctions.

Smaller technology firms argue that enforcement lacks urgency, particularly in areas such as self-preferencing, data sharing, interoperability and digital advertising markets.

Concerns also extend to AI and cloud services, where respondents say the current framework fails to reflect market realities.

Generative AI tools, such as large language models, raise questions about whether existing platform categories remain adequate or whether new classifications are necessary. Cloud services face similar scrutiny, as major providers often fall below formal thresholds despite acting as critical gateways.

The Commission plans to submit a review report to the European Parliament and the Council by early May, drawing on findings from the consultation.

Proposed changes include binding timelines and interim measures aimed at strengthening enforcement and restoring confidence in the bloc’s flagship competition rules.

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Netomi shows how to scale enterprise AI safely

Netomi has developed a blueprint for scaling enterprise AI, utilising GPT-4.1 for rapid tool use and GPT-5.2 for multi-step reasoning. The platform supports complex workflows, policy compliance, and heavy operational loads, serving clients such as United Airlines and DraftKings.

The company emphasises three core lessons. First, systems must handle real-world complexity, orchestrating multiple APIs, databases, and tools to maintain state and situational awareness across multi-step workflows.

Second, parallelised architectures ensure low latency even under extreme demand, keeping response times fast and reliable during spikes in activity.

Third, governance is embedded directly into the runtime, enforcing compliance, protecting sensitive data, and providing deterministic fallbacks when AI confidence is low.

Netomi demonstrates how agentic AI can be safely scaled, providing enterprises with a model for auditable, predictable, and resilient intelligent systems. These practices serve as a roadmap for organisations seeking to move AI from experimental tools to production-ready infrastructure.

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Samsung puts AI trust and security at the centre of CES 2026

The South Korean tech giant, Samsung, used CES 2026 to foreground a cross-industry debate about trust, privacy and security in the age of AI.

During its Tech Forum session in Las Vegas, senior figures from AI research and industry argued that people will only fully accept AI when systems behave predictably, and users retain clear control instead of feeling locked inside opaque technologies.

Samsung outlined a trust-by-design philosophy centred on transparency, clarity and accountability. On-device AI was presented as a way to keep personal data local wherever possible, while cloud processing can be used selectively when scale is required.

Speakers said users increasingly want to know when AI is in operation, where their data is processed and how securely it is protected.

Security remained the core theme. Samsung highlighted its Knox platform and Knox Matrix to show how devices can authenticate one another and operate as a shared layer of protection.

Partnerships with companies such as Google and Microsoft were framed as essential for ecosystem-wide resilience. Although misinformation and misuse were recognised as real risks, the panel suggested that technological counter-measures will continue to develop alongside AI systems.

Consumer behaviour formed a final point of discussion. Amy Webb noted that people usually buy products for convenience rather than trust alone, meaning that AI will gain acceptance when it genuinely improves daily life.

The panel concluded that AI systems which embed transparency, robust security and meaningful user choice from the outset are most likely to earn long-term public confidence.

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Cloud and AI growth fuels EU push for greener data centres

Europe’s growing demand for cloud and AI services is driving a rapid expansion of data centres across the EU.

Policymakers now face the difficulty of supporting digital growth instead of undermining climate targets, yet reliable sustainability data remains scarce.

Operators are required to report on energy consumption, water usage, renewable sourcing and heat reuse, but only around one-third have submitted complete data so far.

Brussels plans to introduce a rating scheme from 2026 that grades data centres on environmental performance, potentially rewarding the most sustainable new facilities with faster approvals under the upcoming Cloud and AI Development Act.

Industry groups want the rules adjusted so operators using excess server heat to warm nearby homes are not penalised. Experts also argue that stronger auditing and stricter application of standards are essential so reported data becomes more transparent and credible.

Smaller data centres remain largely untracked even though they are often less efficient, while colocation facilities complicate oversight because customers manage their own servers. Idle machines also waste vast amounts of energy yet remain largely unmeasured.

Meanwhile, replacing old hardware may improve efficiency but comes with its own environmental cost.

Even if future centres run on cleaner power and reuse heat, the manufacturing footprint of the equipment inside them remains a major unanswered sustainability challenge.

Policymakers say better reporting is essential if the EU is to balance digital expansion with climate responsibility rather than allowing environmental blind spots to grow.

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