Future of work

Amazon considers 10 billion investment in OpenAI

Amazon is reportedly considering a $10 billion investment in OpenAI, highlighting its growing focus on the generative AI market. The investment follows OpenAI’s October restructuring, giving it more flexibility to raise funds and form new tech partnerships.

OpenAI has recently secured major infrastructure agreements, including a $38 billion cloud computing deal with Amazon Web Services (AWS). Deals with Nvidia, AMD, and Broadcom boost OpenAI’s access to computing power for its AI development.

Amazon has invested $8 billion in Anthropic and continues developing AI hardware through AWS’s Inferentia and Trainium chips. The move into OpenAI reflects Amazon’s strategy to expand its influence across the AI sector.

OpenAI’s prior $13 billion Microsoft exclusivity has ended, enabling it to pursue new partnerships. The combination of fresh funding, cloud capacity, and hardware support positions OpenAI for continued growth in the AI industry.

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PwC automates AI governance with Agent Mode

The global professional services network, PwC, has expanded its Model Edge platform with the launch of Agent Mode, an AI assistant designed to automate governance, compliance and documentation across enterprise AI model lifecycles.

The capability targets the growing administrative burden faced by organisations as AI model portfolios scale and regulatory expectations intensify.

Agent Mode allows users to describe governance tasks in natural language, instead of manually navigating workflows.

A system that executes actions directly within Model Edge, generates leadership-ready documentation and supports common document and reporting formats, significantly reducing routine compliance effort.

PwC estimates weekly time savings of between 20 and 50 percent for governance and model risk teams.

Behind the interface, a secure orchestration engine interprets user intent, verifies role based permissions and selects appropriate large language models based on task complexity. The design ensures governance guardrails remain intact while enabling faster and more consistent oversight.

PwC positions Agent Mode as a step towards fully automated, agent-driven AI governance, enabling organisations to focus expert attention on risk assessment and regulatory judgement instead of process management as enterprise AI adoption accelerates.

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The limits of raw computing power in AI

As the global race for AI accelerates, a growing number of experts are questioning whether simply adding more computing power still delivers meaningful results. In a recent blog post, digital policy expert Jovan Kurbalija argues that AI development is approaching a critical plateau, where massive investments in hardware produce only marginal gains in performance.

Despite the dominance of advanced GPUs and ever-larger data centres, improvements in accuracy and reasoning among leading models are slowing, exposing what he describes as an emerging ‘AI Pareto paradox’.

According to Kurbalija, the imbalance is striking: around 80% of AI investment is currently spent on computing infrastructure, yet it accounts for only a fraction of real-world impact. As hardware becomes cheaper and more widely available, he suggests it is no longer the decisive factor.

Instead, the next phase of AI progress will depend on how effectively organisations integrate human knowledge, skills, and processes into AI systems.

That shift places people, not machines, at the centre of AI transformation. Kurbalija highlights the limits of traditional training approaches and points to new models of learning that focus on hands-on development and deep understanding of data.

Building a simple AI tool may now take minutes, but turning it into a reliable, high-precision system requires sustained human effort, from refining data to rethinking internal workflows.

Looking ahead to 2026, the message is clear. Success in AI will not be defined by who owns the most powerful chips, but by who invests most wisely in people.

As Kurbalija concludes, organisations that treat AI as a skill to be cultivated, rather than a product to be purchased, are far more likely to see lasting benefits from the technology.

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AI reshapes media in North Macedonia with new regulatory guidance

A new analysis examines the impact of AI on North Macedonia’s media sector, offering guidance on ethical standards, human rights, and regulatory approaches.

Prepared in both Macedonian and English, the study benchmarks the country’s practices against European frameworks and provides actionable recommendations for future regulation and self-regulation.

The research, supported by the EU and Council of Europe’s PRO-FREX initiative and in collaboration with the Agency for Audio and Audiovisual Media Services (AVMU), was presented during Media Literacy Days 2025 in Skopje.

It highlights the relevance of EU and Council of Europe guidelines, including the Framework Convention on AI and Human Rights, and guidance on responsible AI in journalism.

AVMU’s involvement underlines its role in ensuring media freedom, fairness, and accountability amid rapid technological change. Participants highlighted the need for careful policymaking to manage AI’s impact, protecting media diversity, journalistic standards, and public trust online.

The analysis forms part of broader efforts under the Council of Europe and the EU’s Horizontal Facility for the Western Balkans and Türkiye, aiming to support North Macedonia in aligning media regulation with European standards while responsibly integrating AI technologies.

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Nigeria reaches AI training milestone under Microsoft skills initiative

Microsoft, in partnership with the Federal Government of Nigeria, Data Science Nigeria and Lagos Business School, has announced that its AI National Skills Initiative (AINSI) has reached more than 350,000 Nigerians with AI training, building on a wider effort that has delivered digital education to over four million people since 2021.

The programme aims to equip individuals, including everyday tech users, business leaders and public sector officials, with AI competencies to strengthen Nigeria’s position in the digital economy.

Key components include digital literacy workshops, business leadership sessions, an AI hackathon, and targeted developer courses covering analytics, DevOps, machine learning and data science.

Microsoft and its partners are also working with government-driven initiatives such as the Developers in Government and Three Million Technical Talent programmes to build a robust pipeline of technical talent.

Leadership training for public sector executives seeks to foster evidence-driven policymaking and responsible AI adoption.

Looking ahead, the Nigeria initiative aims to train up to one million citizens over three years, helping build a future-ready workforce capable of driving innovation, economic growth and national competitiveness in the AI era.

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Joule Agent workshops help organisations build practical AI agent solutions

Artificial intelligence agents, autonomous systems that perform tasks or assist decision-making, are increasingly part of digital transformation discussions, but their value depends on solving actual business problems rather than adopting technology for its own sake.

SAP’s AppHaus Joule Agent Discovery and Design workshops provide a structured, human-centred approach to help organisations discover where agentic AI can deliver real impact and design agents that collaborate effectively with humans.

The Discovery workshop focuses on identifying challenges and inefficiencies where automation can add value, guiding participants to select high-priority use cases that suit agentic solutions.

The Design workshop then brings users and business experts together to define each AI agent’s role, responsibilities and required skills. By the end of these sessions, participants have detailed plans defining tasks, workflows and instructions that can be translated into actual AI agent implementations.

SAP also supports these formats with self-paced learning courses and toolkits to help anyone run the workshops confidently, emphasising practical human–AI partnerships rather than technology hype.

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Competing visions of AGI emerge at Google DeepMind and Microsoft

Two former DeepMind co-founders now leading rival AI labs have outlined sharply different visions for how artificial general intelligence (AGI) should be developed, highlighting a growing strategic divide at the top of the industry.

Google DeepMind chief executive Demis Hassabis has framed AGI as a scientific tool for tackling foundational challenges. These include fusion energy, advanced materials, and fundamental physics. He says current models still lack consistent reasoning across tasks.

Hassabis has pointed to weaknesses, such as so-called ‘jagged intelligence’. Systems can perform well on complex benchmarks but fail simple tasks. DeepMind is investing in physics-based evaluations and AlphaZero-inspired research to enable genuine knowledge discovery rather than data replication.

Microsoft AI chief executive Mustafa Suleyman has taken a more product-led stance, framing AGI as an economic force rather than a scientific milestone. He has rejected the idea of race, instead prioritising controllable and reliable AI agents that operate under human oversight.

Suleyman has argued that governance, not raw capability, is the central challenge. He has emphasised containment, liability frameworks, and certified agents, reflecting wider tensions between rapid deployment and long-term scientific ambition as AI systems grow more influential.

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Russia considers restoring Roblox access after compliance talks

Roblox has signalled willingness to comply with Russian law, opening the possibility of the platform being unblocked in Russia following earlier access restrictions.

Roskomnadzor stated that cooperation could resume if Roblox demonstrates concrete steps instead of declarations towards meeting domestic legal requirements.

The regulator said Roblox acknowledged shortcomings in moderating game content and ensuring the safety of user chats, particularly involving minors.

Russian authorities stressed that compliance would require systematic measures to remove harmful material and prevent criminal communication rather than partial adjustments.

Access to Roblox was restricted in early December after officials cited the spread of content linked to extremist and terrorist activity.

Roskomnadzor indicated that continued engagement and demonstrable compliance could allow the platform to restore operations under the regulatory oversight of Russia.

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New AI model analyses X-rays to predict ageing and disease risk

AI may offer a new way to assess how quickly the body is aging by analysing chest X-rays, according to research published in The Journals of Gerontology. The CXR-Age AI model detected age-related changes in the heart, lungs, and health more accurately than DNA-based epigenetic clocks.

Researchers compared CXR-Age to two biological age measures, Horvath Age and DNAm PhenoAge, using data from 2,097 adults in the Project Baseline Health Study, a US multi-site initiative exploring health and disease over time.

CXR-Age showed strong links with early signs of heart and lung aging, frailty, and proteins associated with neuroinflammation, while DNA clocks displayed weaker or no correlations, particularly in middle-aged adults.

Findings suggest that AI applied to routine medical imaging could help clinicians identify individuals at risk of age-related diseases before symptoms appear. AI metrics like CXR-Age could enhance traditional assessments and support personalised preventive healthcare.

The study concludes that machine learning and medical imaging have the potential to advance understanding of organ-specific aging, offering a promising tool for monitoring cardiopulmonary health and supporting early interventions.

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OpenAI expands AI training for newsrooms worldwide

The US tech company, OpenAI, has launched the OpenAI Academy for News Organisations, a new learning hub designed to support journalists, editors and publishers adopting AI in their work.

An initiative that builds on existing partnerships with the American Journalism Project and The Lenfest Institute for Journalism, reflecting a broader effort to strengthen journalism as a pillar of democratic life.

The Academy goes live with practical training, newsroom-focused playbooks and real-world examples aimed at helping news teams save time and focus on high-impact reporting.

Areas of focus include investigative research, multilingual reporting, data analysis, production efficiency and operational workflows that sustain news organisations over time.

Responsible use sits at the centre of the programme. Guidance on governance, internal policies and ethical deployment is intended to address concerns around trust, accuracy and newsroom culture, recognising that AI adoption raises structural questions rather than purely technical ones.

OpenAI plans to expand the Academy in the year ahead with additional courses, case studies and live programming.

Through collaboration with publishers, industry bodies and journalism networks worldwide, the Academy is positioned as a shared learning space that supports editorial independence while adapting journalism to an AI-shaped media environment.

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