Sustainable development

Foxconn and OpenAI strengthen US AI manufacturing

OpenAI has formed a new partnership with Foxconn to prepare US manufacturing for a fresh generation of AI infrastructure hardware.

The agreement centres on design support and early evaluation instead of immediate purchase commitments, which gives OpenAI a path to influence development while Foxconn builds readiness inside American facilities.

Both companies expect rapid advances in AI capability to demand a new class of physical infrastructure. They plan to co-design several generations of data centre racks that can keep pace with model development instead of relying on slower single-cycle upgrades.

OpenAI will share insight into future hardware needs while Foxconn provides engineering knowledge and large-scale manufacturing capacity across the US.

A key aim is to strengthen domestic supply chains by improving rack architecture, widening access to domestic chip suppliers and expanding local testing and assembly. Foxconn intends to produce essential data centre components in the US, including cabling, networking, cooling and power systems.

The companies present such an effort as a way to support faster deployment, create more resilient infrastructure and bring economic benefits to American workers.

OpenAI frames the partnership as part of a broader push to ensure that critical AI infrastructure is built within the US instead of abroad. Company leaders argue that a robust domestic supply chain will support American leadership in AI and keep the benefits widely shared across the economy.

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AI in healthcare gains regulatory compass from UK experts

Professor Alastair Denniston has outlined the core principles for regulating AI in healthcare, describing AI as the ‘X-ray moment’ of our time.

Like previous innovations such as MRI scanners and antibiotics, AI has the potential to improve diagnosis, treatment and personalised care dramatically. Still, it also requires careful oversight to ensure patient safety.

The MHRA’s National Commission on the Regulation of AI in Healthcare is developing a framework based on three key principles. The framework must be safe, ensuring proportionate regulation that protects patients without stifling innovation.

It must be fast, reducing delays in bringing beneficial technologies to patients and supporting small innovators who cannot endure long regulatory timelines. Ultimately, it must be trusted, with transparent processes that foster confidence in AI technologies today and in the future.

Professor Denniston emphasises that AI is not a single technology but a rapidly evolving ecosystem. The regulatory system must keep pace with advances while allowing the NHS to harness AI safely and efficiently.

Just as with earlier medical breakthroughs, failure to innovate can carry risks equal to the dangers of new technologies themselves.

The National Commission will soon invite the public to contribute their views through a call for evidence.

Patients, healthcare professionals, and members of the public are encouraged to share what matters to them, helping to shape a framework that balances safety, speed, and trust while unlocking the full potential of AI in the NHS.

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DPDP law takes effect as India tightens AI-era data protections

India has activated new Digital Personal Data Protection rules that sharply restrict how technology firms collect and use personal information. The framework limits data gathering to what is necessary for a declared purpose and requires clear explanations, opt-outs, and breach notifications for Indian users.

The rules apply across digital platforms, from social media and e-commerce to banks and public services. Companies must obtain parental consent for individuals under 18 and are prohibited from using children’s data for targeted advertising. Firms have 18 months to comply with the new safeguards.

Users can request access to their data, ask why it was collected, and demand corrections or updates. They may withdraw consent at any time and, in some cases, request deletion. Companies must respond within 90 days, and individuals can appoint someone to exercise these rights.

Civil society groups welcomed stronger user rights but warned that the rules may also expand state access to personal data. The Internet Freedom Foundation criticised limited oversight and said the provisions risk entrenching government control, reducing transparency for citizens.

India is preparing further digital regulations, including new requirements for AI and social media firms. With nearly a billion online users, the government has urged platforms to label AI-generated content amid rising concerns about deepfakes, online misinformation, and election integrity.

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Target expands OpenAI partnership with new ChatGPT shopping app

Target is expanding its partnership with OpenAI by launching a new shopping app directly inside ChatGPT. The app offers customers personalised recommendations, multi-item baskets and streamlined checkout across Drive Up, Order Pickup and shipping.

The retailer will continue using OpenAI’s models and ChatGPT Enterprise to enhance employee productivity and strengthen digital experiences across its business.

AI is central to Target’s operations, supporting supply-chain forecasts, store processes, and personalised digital tools. Over 18,000 employees utilise ChatGPT Enterprise to streamline routine tasks, enhance creativity, and receive faster support for guest requests and returns through internal AI assistants.

Customer-facing tools such as Shopping Assistant, Gift Finder, Guest Assist and JOY reinforce this strategy by offering curated suggestions and instant answers.

The new Target app inside ChatGPT extends this AI-driven approach to customers. Shoppers will be able to ask for ideas, browse curated suggestions, build baskets and check out through their Target accounts.

The beta version launches next week, and upcoming features include Target Circle linking and same-day delivery. Target views the partnership as part of a retail shift, embedding AI across products, operations and guest interactions to drive the next wave of innovation.

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Most Canadian businesses adopt AI but few see clear returns

Most Canadian businesses are using generative AI, yet few have fully integrated it into core operations. Only a small fraction are seeing measurable returns, according to new research from KPMG Canada.

Among 753 surveyed business leaders, 93 percent reported some AI adoption. Still, only 31 percent have deployed it across all workflows, while 32 percent have partially integrated AI, and 20 percent remain in early experimentation phases.

Despite widespread adoption, only 2 percent of companies reported a clear return on investment, mostly among firms with annual revenues over $1 billion. Nearly two-thirds said ROI was between five and 20 percent, while almost a third could not quantify it.

Most leaders expect returns within one to five years, highlighting the gap between AI adoption and measurable business impact. Experts emphasise that clear strategies and robust metrics are crucial to translate AI implementation into quantifiable growth.

KPMG Canada notes that successful AI integration requires investment not only in technology, but also in people and processes. Organisations are prioritising talent acquisition, skills training and change management to enhance AI literacy and scale adoption.

Strong governance and strategic frameworks that track both financial and operational benefits are crucial for companies to fully leverage the potential of AI and maintain competitiveness in a rapidly evolving economic landscape.

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UAE and China deepen ties with mBridge launch

Sheikh Mansour bin Zayed has overseen a digital currency payment between the UAE and China. The transfer used the ‘mBridge’ central bank digital currency platform to settle funds directly. Officials say the move marks the formal launch of ‘mBridge’ for cross-border payments.

Ceremonies in Abu Dhabi also launched the first ‘Jaywan-UnionPay’ multi-scheme prepaid card. The product links Jaywan’s domestic network with UnionPay’s global acceptance in more than 180 countries.

Transactions inside the UAE are processed locally, while overseas spending routes through UnionPay’s international infrastructure. Officials say the projects highlight partnerships between the UAE and China and strengthen the Emirates’ role in digital finance.

Sheikh Mansour and Pan Gongsheng also signed a memorandum on future cross-border payment cooperation. Further expansion of the ‘mBridge‘ network and domestic Digital Dirham pilots is planned from 2026.

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EU simplifies digital rules to save billions for companies

The European Commission has unveiled a digital package designed to simplify rules and reduce administrative burdens, allowing businesses to focus on innovation rather than compliance.

An initiative that combines the Digital Omnibus, Data Union Strategy, and European Business Wallet to strengthen competitiveness across the EU while maintaining high standards of fundamental rights, data protection, and safety.

The Digital Omnibus streamlines rules on AI, cybersecurity, and data. Amendments will create innovation-friendly AI regulations, simplify reporting for cybersecurity incidents, harmonise aspects of the GDPR, and modernise cookie rules.

Improved access to data and regulatory guidance will support businesses, particularly SMEs, allowing them to develop AI solutions and scale operations across member states more efficiently.

The Data Union Strategy aims to unlock high-quality data for AI, strengthen Europe’s data sovereignty, and support businesses with legal guidance and strategic measures to ensure fair treatment of the EU data abroad.

Meanwhile, the European Business Wallet will provide a unified digital identity for companies, enabling secure signing, storage, and exchange of documents and communication with public authorities across 27 member states.

By easing administrative procedures, the package could save up to €5 billion by 2029, with the Business Wallet alone offering up to €150 billion in annual savings.

The Commission has launched a public consultation, the Digital Fitness Check, to assess the impact of these rules and guide future steps, ensuring that businesses can grow and innovate instead of being held back by complex regulations.

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EU introduces plan to strengthen consumer protection

The European Commission has unveiled the 2030 Consumer Agenda, a strategic plan to reinforce protection, trust, and competitiveness across the EU.

With 450 million consumers contributing over half of the Union’s GDP, the agenda aims to simplify administrative processes for businesses, rather than adding new burdens, while ensuring fair treatment for shoppers.

The agenda sets four priorities to adapt to rising living costs, evolving online markets, and the surge in e-commerce. Completing the Single Market will remove cross-border barriers, enhance travel and financial services, and evaluate the effectiveness of the Geo-Blocking Regulation.

A planned Digital Fairness Act will address harmful online practices, focusing on protecting children and strengthening consumer rights.

Sustainable consumption takes a central focus, with efforts to combat greenwashing, expand access to sustainable goods, and support circular initiatives such as second-hand markets and repairable products.

The Commission will also enhance enforcement to tackle unsafe or non-compliant products, particularly from third countries, ensuring that compliant businesses are shielded from unfair competition.

Implementation will be overseen through the Annual Consumer Summit and regular Ministerial Forums, which will provide political guidance and monitor progress.

The 2030 Consumer Agenda builds on prior achievements and EU consultations, aiming to modernise consumer protection instead of leaving gaps in a rapidly changing market.

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Sundar Pichai warns users not to trust AI tools easily

Google CEO Sundar Pichai advises people not to unquestioningly trust AI tools, warning that current models remain prone to errors. He told the BBC that users should rely on a broader information ecosystem rather than treat AI as a single source of truth.

Pichai said generative systems can produce inaccuracies and stressed that people must learn what the tools are good at. The remarks follow criticism of Google’s own AI Overviews feature, which attracted attention for erratic and misleading responses during its rollout.

Experts say the risk grows when users depend on chatbots for health, science, or news. BBC research found major AI assistants misrepresented news stories in nearly half of the tests this year, underscoring concerns about factual reliability and the limits of current models.

Google is launching Gemini 3.0, which it claims offers stronger multimodal understanding and reasoning. The company says its new AI Mode in search marks a shift in how users interact with online information, as it seeks to defend market share against ChatGPT and other rivals.

Pichai says Google is increasing its investment in AI security and releasing tools to detect AI-generated images. He maintains that no single company should control such powerful technology and argues that the industry remains far from a scenario in which one firm dominates AI development.

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Europe’s digital sovereignty advances through SAP’s new AI collaborations

SAP has announced new partnerships with Bleu, Capgemini, and Mistral AI to advance Europe’s digital sovereignty. The collaboration combines SAP’s expertise in enterprise software with France’s AI ecosystem to develop secure, scalable, and sovereign cloud solutions for governments and regulated sectors.

Bleu and Delos Cloud have established a Franco-German alliance focused on crisis resilience, creating joint capabilities for early detection, analysis, and remediation of cyber incidents. Their cooperation supports rapid response in extreme scenarios and reinforces control over critical infrastructure.

SAP and Capgemini are expanding their partnership to advance sovereign agentic AI and strengthen cybersecurity across Europe. Their new Sovereign Technology Partnership will deliver data management, cloud services, and automation tools for public and regulated sectors.

SAP and Mistral AI are also deepening their collaboration to create Europe’s first full sovereign AI stack. SAP will offer Mistral’s frontier models through its sovereign AI foundation on SAP BTP, while both companies co-develop industry-specific AI applications designed for engineering and R&D workloads.

These partnerships form part of SAP’s broader sovereign cloud strategy, backed by more than €20bn in investment. SAP states that its aim is to provide a secure, compliant, and locally controlled infrastructure that enables innovation while safeguarding European data, assets, and long-term technological independence.

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