Microsoft president says AI’s future should be shaped by people, not technology alone

Microsoft Vice Chair and President Brad Smith has argued that the future impact of AI should be shaped by people rather than technology alone, emphasising the importance of human agency, creativity and the dignity of work.

In a recent blog post, Smith said concerns expressed by university graduates about AI’s impact on employment should be taken seriously by the technology sector.

Smith also noted that younger generations remain among the most active users of AI technologies but are increasingly questioning how AI will affect jobs, careers and society. He argued that graduates are sending a clear message that AI should support human capabilities instead of determining the role of people in the workforce.

The article draws on historical examples of technological disruption, including photography, computing and automation, arguing that new technologies have often transformed work rather than eliminated human creativity and ambition.

Smith acknowledged concerns about entry-level employment, workforce restructuring and economic uncertainty, while suggesting that AI adoption is likely to unfold over decades rather than over a short period.

Microsoft argues that individuals should focus on combining expertise in their chosen fields with AI literacy. The company also emphasises the importance of uniquely human skills such as creativity, curiosity, communication, compassion and judgement.

For organisations, Smith recommends using AI to strengthen institutional knowledge and productivity while retaining control over proprietary data, intellectual property and strategic decision-making.

Why does it matter?

The debate over AI’s impact on employment has become one of the central questions in technology policy and economic planning. While some forecasts focus on job displacement, others argue that AI will primarily transform how work is performed, creating demand for new skills and roles while reshaping existing occupations.

Smith’s comments offer insight into how a leading AI developer views the long-term transition. His emphasis on augmentation, workforce adaptation and human agency reflects a broader industry narrative that AI should enhance rather than replace human capabilities, while highlighting the growing importance of digital skills, lifelong learning and public participation in decisions about AI deployment.

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Anthropic launches Claude Corps AI fellowship for US nonprofits

Anthropic has announced Claude Corps, a fellowship programme intended to help early-career professionals develop AI skills while supporting nonprofit organisations in the United States.

The company said it is committing an initial $150 million to the initiative, which aims to train 1,000 fellows to use Claude and place them in nonprofit organisations over the coming years. Fellows will spend one year working full-time and in person with host organisations.

Claude Corps will be delivered through a partnership between Anthropic, CodePath and Social Finance. Anthropic will fund the programme, provide Claude expertise and lead its overall strategy. CodePath will act as the fellows’ employer of record and lead fellowship programming, while Social Finance will oversee measurement and evaluation.

Each fellow will receive a salary of $85,000, benefits, mentoring support, ongoing training and access to Claude resources. Anthropic said at least 400 nonprofits will host fellows over the next 12 months, including organisations working on education, workforce development, public services, food security, environmental conservation and community support.

Applications are open for the first cohort of 100 fellows, which is scheduled to begin in October 2026. Anthropic said the programme could later expand beyond the initial 1,000 fellows and may serve as a model for similar initiatives outside the United States.

Why does it matter?

Claude Corps is relevant because it frames AI adoption as a workforce and capacity-building challenge, not only a product deployment issue. The programme links private-sector AI development with labour transition, nonprofit digital capacity and AI literacy. It also reflects growing pressure on frontier AI companies to show how the benefits of AI can be shared more widely as automation reshapes entry-level work and organisational practices.

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Europol-backed operation dismantles crypto laundering service used by ransomware gangs

An international law enforcement operation has dismantled a cryptocurrency laundering service allegedly used by ransomware gangs and cybercriminal networks to process more than €336 million in illicit funds.

The platform, known as ‘AudiA6’, is suspected of laundering proceeds from ransomware attacks, large-scale cryptocurrency thefts and other cybercrime activity between 2022 and 2025. Europol said the service was linked through its analysis to more than 15 international cybercrime investigations.

The coordinated action, supported by Europol and Eurojust, led to the arrest of two alleged administrators in Georgia. Authorities also took down 25 domains, seized more than 30 servers, blocked Telegram accounts used by the network and froze or seized cryptocurrency assets worth more than €778,000.

Investigators allege that the service used thousands of fraudulent exchange accounts created with stolen or purchased identities. Criminal clients allegedly transferred cryptocurrency to wallets controlled by the group and received laundered funds through complex transaction chains designed to obscure the money trail.

Authorities also confiscated more than 80 vehicles and several properties in Georgia. Europol said the case highlights how specialised money laundering services help sustain ransomware and other forms of cybercrime by making it easier for criminal groups to cash out stolen digital assets.

Why does it matter?

Crypto laundering services are a key part of the cybercrime economy because they allow ransomware groups and other attackers to turn stolen digital assets into usable funds. Disrupting such infrastructure can weaken criminal business models. Still, the case also shows why cybercrime investigations increasingly require cooperation between cyber units, financial investigators, prosecutors, crypto exchanges and cross-border law enforcement agencies.

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Kraken becomes official crypto exchange supporter of FIFA World Cup 2026

Cryptocurrency exchange Kraken has been named the Official Crypto Exchange Supporter of the FIFA World Cup 2026, extending the visibility of digital asset firms in mainstream sports and entertainment.

According to Kraken, the partnership will focus on fan activations and product experiences across the tournament’s 16 host cities in Mexico, Canada and the United States. The company said the event is expected to reach a cumulative global audience of more than six billion people during its seven-week run.

The FIFA World Cup 2026 will be the first edition of the tournament to feature 48 teams, with 104 matches scheduled from 11 June to 19 July 2026. Kraken said the partnership is part of its broader strategy to use sports and cultural partnerships to raise awareness of digital assets.

The collaboration is expected to begin with the FIFA World Cup 2026 Countdown Concert, followed by further fan-focused programming during the tournament.

The announcement reflects the continued use of global sports events by crypto companies to reach mainstream audiences, even as digital asset products remain subject to regulatory scrutiny and consumer-risk concerns in many markets.

Why does it matter?

The partnership shows how crypto firms continue to use high-visibility sports events to reach mass audiences and normalise digital asset products. For digital policy, the relevant issue is not the sponsorship itself, but the consumer protection and regulatory context around crypto promotion, especially when marketing is attached to global events watched by millions of casual fans.

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Visa expands AI and stablecoin tools for programmable commerce

Visa has announced new AI, stablecoin and tokenisation capabilities aimed at supporting agentic and programmable commerce.

The updates were presented at the Visa Payments Forum 2026 and focus on transactions initiated or supported by AI agents, as well as blockchain-based settlement and value transfer. Visa said the tools are intended to add trust, security and control as commerce becomes more automated.

The company introduced Agent Score, which allows merchants to assess whether their websites are ready for AI agents to navigate and complete tasks. It also announced an Agentic Directory of verified agents and merchants, intended to help participants identify legitimate actors in agentic commerce.

Visa also announced a strategic partnership with OpenAI that would allow AI agents to initiate Visa payments within defined user permissions. OpenAI will provide the conversational interface, while Visa will provide the underlying payment infrastructure.

The company introduced a Large Transaction Model trained on billions of transactions to improve fraud detection, authorisation performance and reduce false declines. It also announced token enhancements designed to add more transaction context, identity, permissions and behavioural signals to digital payment credentials.

On the settlement side, Visa said it is developing technology that would allow banks to issue tokenised deposits and is expanding stablecoin settlement pilots across multiple regions, blockchains and currencies. The company said it has moved billions of dollars in stablecoins across VisaNet, with an annualised run rate of about $7 billion as of March 2026. More than 160 stablecoin-linked card programmes are live or in development globally, according to Visa.

Why does it matter?

Visa’s announcements show how major payment networks are preparing for AI agents to initiate transactions and for stablecoins and tokenised deposits to play a larger role in settlement. The policy relevance lies in trust infrastructure: verifying agents and merchants, defining user permissions, managing fraud risk, strengthening digital identity signals and keeping programmable payment systems within regulated financial channels.

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ILO and Singapore expand cooperation on AI and the future of work in ASEAN

The International Labour Organization and Singapore have renewed their partnership to support ASEAN countries in responding to labour market changes linked to AI, platform work and demographic shifts.

The new ‘Partnership Agreement for a Collaborative Programme on Labour and Decent Work’ will run from June 2026 to June 2028. It builds on more than 15 years of cooperation between the ILO and Singapore’s Ministry of Manpower.

Developed in consultation with Singapore’s tripartite partners, including the National Trades Union Congress and the Singapore National Employers Federation, the framework aims to strengthen the capacity of governments, employers and workers across ASEAN.

The renewed partnership adds new priority areas, including AI, platform work, non-standard employment, demographic transitions and older workers’ participation in the labour market. Existing areas of cooperation, such as occupational safety and health, skills development and social dialogue, will continue.

The agreement will support policy dialogue, knowledge-sharing activities and the exchange of good practices among ASEAN member states. Recent initiatives under the cooperation framework include the Leaders in Tripartism Programme in Singapore in April 2026 and the Global Dialogue on Digital Platform Work in September 2025, which brought together participants from more than 20 countries.

The renewed partnership reflects a broader focus on how ASEAN labour markets can adapt to technological change, ageing societies and new forms of work while maintaining decent work standards.

Why does it matter?

AI and platform work are reshaping labour markets faster than many policy frameworks can adapt. The ILO-Singapore partnership is not a binding regulatory measure, but it creates a regional cooperation channel for ASEAN governments, employers and workers to exchange approaches on skills, social dialogue, worker protection and decent work standards as employment models change.

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PMI launches global standard for AI project management

The Project Management Institute (PMI) has published a global standard for managing AI initiatives in portfolio, programme and project environments. The standard, titled ‘The Standard for Artificial Intelligence in Portfolio, Program, and Project Management‘, is intended to guide project, programme and portfolio teams delivering AI initiatives.

PMI said AI deployment within organisations is typically delivered through projects, including the development of AI systems, AI-enabled workflows and AI-powered products. The organisation said project professionals have lacked a dedicated framework for planning, governing and delivering AI transformation initiatives.

The standard establishes eight guiding principles, five performance domains and a lifecycle framework for designing, deploying and overseeing AI initiatives. PMI said the guidance is technology-agnostic and built around human-in-the-loop oversight at every stage.

The standard comes as governments and organisations continue to develop AI governance approaches, including risk-based regulation, transparency requirements, and accountability measures. PMI said the standard is intended to help project professionals integrate responsible AI governance into project delivery, from design and development through deployment and oversight.

The standard also addresses AI business cases, tool selection, AI-specific risk management, ethics oversight, and compliance with emerging requirements such as the EU AI Act and ISO 42001. PMI said the framework provides project leaders with a common language for aligning legal, audit, finance, technology and business teams around AI implementation objectives and governance requirements.

The standard is available as a free digital download for PMI members worldwide. Non-members can access the digital edition through purchase or PMI membership.

Why does it matter?

As organisations move from experimenting with AI to deploying it at scale, attention is increasingly shifting from technical development to implementation, governance and operational oversight. Many AI initiatives fail not because of technology limitations, but because of challenges related to project management, risk management, stakeholder alignment and organisational readiness.

PMI’s standard reflects the growing effort to operationalise AI governance by translating broad principles into practical project delivery processes. It also highlights how emerging regulatory frameworks, such as the EU AI Act, are influencing the way organisations plan, manage and oversee AI-enabled transformation initiatives.

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New York moves to curb undisclosed news scraping by AI bots

New York lawmakers have passed legislation aimed at restricting ‘stealth crawlers’, automated bots that access and scrape content from news websites without identifying themselves. If signed by Governor Kathy Hochul, New York would become the first US state to impose such transparency requirements.

The bill would require companies operating such bots to identify themselves when accessing the websites of news organisations. It would also prohibit activity that damages, impairs or places undue burdens on news websites, or otherwise causes economic harm to publishers.

Supporters, including the New York State Broadcasters Association and the New York News Publishers Association, argue that undisclosed scraping allows technology companies to use journalistic content for AI and other automated services while reducing traffic and revenue opportunities for publishers.

The legislation would authorise the New York Attorney General’s office to take enforcement action against non-compliant companies, with civil penalties of up to $15,000 per day for violations. The measure was passed by lawmakers in New York and now awaits the governor’s decision.

Why does it matter?

The legislation reflects growing tensions between news publishers and technology companies over the use of online content for AI training, search services and other automated applications. Publishers increasingly argue that large-scale content scraping can generate commercial value for technology firms while undermining the business models that support journalism.

If enacted, the measure could establish one of the first state-level transparency frameworks governing automated content collection in the United States. It may also influence broader debates about AI training data, web scraping practices, publisher rights and the relationship between technology platforms and news organisations.

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EU orders Meta to restore access for AI assistants

The European Commission has imposed interim measures requiring Meta to restore access to WhatsApp for rival general-purpose AI assistants while an EU antitrust investigation continues.

The measures require Meta to reinstate access to the WhatsApp Business Solution for third-party AI assistant providers under the same terms that applied before 15 October 2025. Meta must comply within five working days and maintain access until the Commission adopts a final decision.

The Commission opened the investigation in December 2025 after Meta changed the terms of its WhatsApp Business Solution to restrict AI providers from using the service when AI was the primary service offered. In February 2026, the Commission sent Meta a Statement of Objections setting out its preliminary view that the conduct could breach the EU antitrust rules.

According to the Commission, Meta appears at first sight to hold a dominant position in the EEA-wide market for consumer communication applications through WhatsApp. It also said Meta may have abused that position by preventing competing general-purpose AI assistants from accessing and interacting with users on WhatsApp.

Meta revised its policy in March 2026 to allow third-party AI assistants back onto WhatsApp, but introduced a fee that the Commission said was, at first sight, equivalent in practice to the previous ban. The Commission warned that the conduct could harm competition at a critical stage in the development of the market for general-purpose AI assistants.

The substantive investigation remains ongoing, and the interim measures do not prejudge the Commission’s final decision. The Commission said it may impose fines or daily penalty payments if Meta fails to comply.

Why does it matter?

The case shows how the EU competition enforcement is moving into the emerging market for general-purpose AI assistants. WhatsApp is not only a messaging service, but also a major access point for businesses and users. If dominant platforms can limit rival AI assistants’ access to such channels, competition in AI services could be shaped before the market fully matures. The interim measures also signal that the Commission is willing to act quickly where it believes platform conduct may create serious and irreparable harm to competition.

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Poland signals progress on AI gigafactories and digital services tax

According to the Polish Press Agency, negotiations between the European Commission and EU member states on the development of AI gigafactories could conclude in June. The planned facilities are expected to be financed through the EU’s €20 billion InvestAI fund.

The initiative aims to establish five AI gigafactories across the EU to support the development of large-scale AI models and applications. Discussions intensified after revisions to the funding model required member states to commit financial support before the launch of a tender process limited to private companies and consortia.

Polish Deputy Minister of Digitisation Dariusz Standerski said Poland led a coalition of seven member states that opposed the revised framework and pushed for changes. He said negotiations are now close to a compromise that could strengthen the EU’s digital sovereignty and AI infrastructure ambitions.

Separately, Standerski said the Ministry of Digitisation is finalising proposals for a digital services tax of up to 3% on revenues generated by large technology companies operating in Poland. The draft legislation is expected to be published by early July in Poland.

Why does it matter?

The AI gigafactory initiative is a central component of the EU’s broader effort to strengthen its AI infrastructure and reduce dependence on non-European providers of computing capacity. Access to large-scale computing resources is increasingly viewed as a prerequisite for developing advanced AI models and competing in the global AI ecosystem.

The negotiations also highlight the governance challenges associated with large industrial policy initiatives. Questions around funding, public-private participation and member state involvement will shape how effectively the EU can translate its AI ambitions into operational infrastructure.

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