Tech groups welcome EU reforms as privacy advocates warn of retreat

The EU has unveiled plans to scale back certain aspects of its AI and data privacy rules to revive innovation and alleviate regulatory pressure on businesses. The Digital Omnibus package delays stricter oversight for high-risk AI until 2027 and permits the use of anonymised personal data for model training.

The reforms amend the AI Act and several digital laws, cutting cookie pop-ups and simplifying documentation requirements for smaller firms. EU tech chief Henna Virkkunen says the aim is to boost competitiveness by removing layers of rigid regulation that have hindered start-ups and SMEs.

US tech lobby groups welcomed the overall direction. Still, they criticised the package for not going far enough, particularly on compute thresholds for systemic-risk AI and copyright provisions with cross-border effects. They argue the reforms only partially address industry concerns.

Privacy and digital rights advocates sharply opposed the changes, warning they represent a significant retreat from Europe’s rights-centric regulatory model. Groups including NOYB accused Brussels of undermining hard-won protections in favour of Big Tech interests.

Legal scholars say the proposals could shift Europe closer to a more permissive, industry-driven approach to AI and data use. They warn that the reforms may dilute the EU’s global reputation as a standard-setter for digital rights, just as the world seeks alternatives to US-style regulation.

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EU eases AI and data rules to boost tech growth

The European Commission has proposed easing AI and data privacy rules to cut red tape and help European tech firms compete internationally. Companies could access datasets more freely for AI training and have 16 months to comply with ‘high-risk’ AI rules.

Brussels also aims to cut the number of cookie pop-ups, allowing users to manage consent more efficiently while protecting privacy. The move has sparked concern among rights groups and campaigners who fear the EU may be softening its stance on Big Tech.

Critics argue that loosening regulations could undermine citizen protections, while European companies welcome the changes as a way to foster innovation and reduce regulatory burdens that have slowed start-ups and smaller businesses.

EU officials emphasise that the reforms seek a balance between competitiveness and safeguarding fundamental rights. Commission officials say the measures will help European firms compete with US and Chinese rivals while safeguarding citizen privacy.

Simplifying consent mechanisms and providing companies more operational flexibility are central to the plan’s goals.

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KT launches secure public cloud with Microsoft for South Korean enterprises

The telco firm, KT Corp, has introduced a Secure Public Cloud service in partnership with Microsoft, designed to meet South Korea’s stringent data sovereignty demands instead of relying solely on global cloud platforms.

Built on Microsoft Azure, the platform targets sectors such as finance and manufacturing, offering high-performance computing while ensuring all data remains stored and processed domestically.

A service that is based on three pillars: end-to-end data protection, enhanced enterprise control over cloud resources, and strict compliance with the residency requirements of South Korea.

Confidential computing encrypts data even during in-memory execution, while a managed hardware security module allows customers to fully own and manage encryption keys, enabling true end-to-end protection.

KT said the platform is particularly suitable for AI training, transaction-heavy applications, and operational workloads where data exposure could pose major risks.

By combining domestic governance with the flexibility and scalability of Azure, the company aims to give enterprises a reliable cloud solution without compromising performance or compliance.

The launch also strengthens KT’s broader cloud ecosystem, which includes KT Cloud and managed global cloud services like AWS.

KT plans to expand the Secure Public Cloud gradually across industries, responding to rising demand from organizations that need robust domestic data controls instead of facing the risks of cross-border data exposure.

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Climate tech and AI will shape Europe’s technology future

Europe faces a pivotal moment in its technology sector, with AI, climate tech and defence set to shape the continent’s future. Sustained investment is essential if Europe wants to remain competitive against the US and China in high-tech industries.

Venture capital firm Atomico’s State of European Tech 2025 report shows that AI already attracts the majority of funding, led by companies such as Mistral AI, Lovable, Synthesia and n8n.

Defence tech is also growing, with firms like Helsing, Isar Aerospace and Cambridge Aerospace securing significant investment to advance AI-powered systems.

Despite strong talent and innovation, Europe must match US levels of research funding, expand computing infrastructure and simplify regulations to realise its potential fully.

Experts say aligning ambition with commitment will be crucial for Europe to develop the next generation of world-leading tech companies.

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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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