Next-generation Siri will use Google’s Gemini AI model

Apple and Google have confirmed a multi-year partnership that will see Google’s Gemini models powering Siri and future Apple Intelligence features. The collaboration will underpin Apple’s next-generation AI models, with updates coming later this year.

The move follows delays in rolling out Siri upgrades first unveiled at WWDC 2024. While most Apple Intelligence features have already been launched, the redesigned Siri has been postponed due to development taking longer than anticipated.

According to reports, Apple will continue using its own models for specific tasks, while Gemini is expected to handle summarisation, planning, and other advanced functions.

Bloomberg reports the upcoming Siri will be structured around three layers: query planning, knowledge retrieval, and summarisation. Gemini will handle planning and summarisation, helping Siri structure responses and create clear summaries.

Knowledge retrieval may also benefit from Gemini, potentially broadening Siri’s general knowledge capabilities beyond its current hand-off system.

All AI processing will operate on Apple’s Private Cloud Compute platform, ensuring user privacy and keeping data secure. Analysts suggest this integration will embed Gemini more deeply into Siri’s core functionality, rather than serving as a supplementary tool.

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Claude expands into healthcare and life sciences

Healthcare and life sciences organisations face increasing administrative pressure, fragmented systems, and rapidly evolving research demands. At the same time, regulatory compliance, safety, and trust remain critical requirements across all clinical and scientific operations.

Anthropic has launched new tools and connectors for Claude in Microsoft Foundry to support enterprise-scale AI workflows. Built on Azure’s secure infrastructure, the platform promotes responsible integration across data, compliance, and workflow automation environments.

The new capabilities are designed specifically for healthcare and life sciences use cases, including prior authorisation review, claims appeals processing, care coordination, and patient triage.

In research and development, the tools support protocol drafting, regulatory submissions, bioinformatics analysis, and experimental design.

According to Anthropic, the updates build on significant improvements in Claude’s underlying models, delivering stronger performance in areas such as scientific interpretation, computational biology, and protein understanding.

The aim is to enable faster, more reliable decision-making across regulated, real-world workflows.

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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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