Future of work

Cyber defence effort returns to US ports post-pandemic

The US Cybersecurity and Infrastructure Security Agency (CISA) has resumed its seaport cybersecurity exercise programme. Initially paused due to the pandemic and other delays, the initiative is now returning to ports such as Savannah, Charleston, Wilmington and potentially Tampa.

These proof-of-concept tabletop exercises are intended to help ports prepare for cyber threats by developing a flexible, replicable framework. Each port functions uniquely, yet common infrastructure and shared vulnerabilities make standardised preparation critical for effective crisis response.

CISA warns that threats targeting ports have grown more severe, with nation states exploiting AI-powered techniques. Some US ports, including Houston, have already fended off cyberattacks, and Chinese-made systems dominate critical logistics, raising national security concerns.

Private ownership of most port infrastructure demands strong public-private partnerships to maintain cybersecurity. CISA aims to offer a shared model that ports across the country can adapt to improve cooperation, resilience, and threat awareness.

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Meta offers $200 million to top AI talent as superintelligence race heats up

Meta has reportedly offered over $200 million in compensation to Ruoming Pang, a former senior AI engineer at Apple, as it escalates its bid to dominate the AI arms race.

The offer, which includes long-term stock incentives, far exceeded Apple’s willingness to match and is seen as one of Silicon Valley’s most aggressive poaching efforts.

The move is part of Meta’s broader campaign to build a world-class team under its new Meta Superintelligence Lab (MSL), which is focused on developing artificial general intelligence (AGI).

The division has already attracted prominent names, including ex-GitHub CEO Nat Friedman, AI investor Daniel Gross, and Scale AI co-founder Alexandr Wang, who joined as Chief AI Officer through a $14.3 billion stake deal.

Most compensation offers in the MSL reportedly rival CEO packages at global banks, but they are heavily performance-based and tied to long-term equity vesting.

Meta’s mix of base salary, signing bonuses, and high-value stock options is designed to attract and retain elite AI talent amid a fierce talent war with OpenAI, Google, and Anthropic.

OpenAI CEO Sam Altman recently claimed Meta has dangled bonuses up to $100 million to lure staff away, though he insists many stayed for cultural reasons.

Still, Meta has already hired more than 10 researchers from OpenAI and poached talent from Google DeepMind, including principal researcher Jack Rae.

The AI rivalry could come to a head as Altman and Zuckerberg meet at the Sun Valley conference this week.

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AI that serves communities, not the other way round

At the WSIS+20 High-Level Event in Geneva, a vivid discussion unfolded around how countries in the Global South can build AI capacity from the ground up, rooted in local realities rather than externally imposed models. Organised by Diplo, the Permanent Mission of Kenya to the UN in Geneva, Microsoft, and IT for Change, the session used the fictional agricultural nation of ‘Landia’ to spotlight the challenges and opportunities of community-centred AI development.

With weak infrastructure, unreliable electricity, and fragmented data ecosystems, Landia embodies the typical constraints many developing nations face as they navigate the AI revolution.

UN Under-Secretary-General and Special Envoy for Digital and Emerging Technologies Amandeep Singh Gill presented a forthcoming UN report proposing a five-tiered framework to guide countries from basic AI literacy to full development capacity. He stressed the need for tailored, coordinated international support—backed by a potential global AI fund—to avoid the fragmented aid pitfalls seen in climate and health sectors.

WSIS

Microsoft’s Ashutosh Chadha echoed that AI readiness is not just a tech issue but fundamentally a policy challenge, highlighting the importance of data governance, education systems, and digital infrastructure as foundations for meaningful AI use.

Civil society voices, particularly from IT4Change’s Anita Gurumurthy and Nandini Chami, spoke about ‘regenerative AI’—AI that is indigenous, inclusive, and modular. They advocated for small-scale models that can run on local data and infrastructures, proposing creative use of community media archives and agroecological knowledge.

Speakers stressed that technology should adapt to community needs, not the reverse, and that AI must augment—not displace—traditional practices, especially in agriculture where livelihoods are at stake.

WSIS

Ultimately, the session crystallised around a core principle: AI must be developed with—not for—local communities. Participants called for training unemployed youth to support rural farmers with accessible AI tools, urged governments to invest in basic infrastructure alongside AI capacity, and warned against replicating inequalities through automation.

The session concluded with optimism and a commitment to continue this global-local dialogue beyond Geneva, ensuring AI’s future in the Global South is not only technologically viable, but socially just.

Track key events from the WSIS+20 High-Level Event 2025 on our dedicated page.

UN leaders chart inclusive digital future at WSIS+20

At the WSIS+20 High-Level Event in Geneva, UN leaders gathered for a pivotal dialogue on shaping an inclusive digital transformation, marking two decades since the World Summit on the Information Society (WSIS). Speakers across the UN system emphasised that technology must serve people, not vice versa.

They highlighted that bridging the digital divide is critical to ensuring that innovations like AI uplift all of humanity, not just those in advanced economies. Without equitable access, the benefits of digital transformation risk reinforcing existing inequalities and leaving millions behind.

The discussion showcased how digital technologies already transform disaster response and climate resilience. The World Meteorological Organization and the UN Office for Disaster Risk Reduction illustrated how AI powers early warning systems and real-time risk analysis, saving lives in vulnerable regions.

Meanwhile, the Food and Agriculture Organization of the UN underscored the need to align technology with basic human needs, reminding the audience that ‘AI is not food,’ and calling for thoughtful, efficient deployment of digital tools to address global hunger and development.

Workforce transformation and leadership in the AI era also featured prominently. Leaders from the International Labour Organization and UNITAR stressed that while AI may replace some roles, it will augment many more, making digital literacy, ethical foresight, and collaborative governance essential skills. Examples from within the UN system itself, such as the digitisation of the Joint Staff Pension Fund through facial recognition and blockchain, demonstrated how innovation can enhance services without sacrificing inclusivity or ethics.

As the session closed, speakers collectively reaffirmed the importance of human rights, international cooperation, and shared digital governance. They stressed that the future of global development hinges on treating digital infrastructure and knowledge as public goods.

With the WSIS framework and Global Digital Compact as guideposts, UN leaders called for sustained, unified efforts to ensure that digital transformation uplifts every community and contributes meaningfully to the Sustainable Development Goals.

Track all key events from the WSIS+20 High-Level Event 2025 on our dedicated page.

X CEO Yaccarino resigns as AI controversy and Musk’s influence grow

Linda Yaccarino has stepped down as CEO of X, ending a turbulent two-year tenure marked by Musk’s controversial leadership and ongoing transformation of the social media company.

Her resignation came just one day after a backlash over offensive posts by Grok, the AI chatbot created by Musk’s xAI, which had been recently integrated into the platform.

Yaccarino, who was previously a top advertising executive at NBCUniversal, was brought on in 2023 to help stabilise the company following Musk’s $44bn acquisition.

In her farewell post, she cited efforts to improve user safety and rebuild advertiser trust, but did not provide a clear reason for her departure.

Analysts suggest growing tensions with Musk’s management style, particularly around AI moderation, may have prompted the move.

Her exit adds to the mounting challenges facing Musk’s empire.

Tesla is suffering from slumping sales and executive departures, while X remains under pressure from heavy debts and legal battles with advertisers.

Yaccarino had spearheaded ambitious initiatives, including payment partnerships with Visa and plans for an X-branded credit or debit card.

Despite these developments, X continues to face scrutiny for its rightward political shift and reliance on controversial AI tools.

Whether the company can fulfil Musk’s vision of becoming an ‘everything app’ without Yaccarino remains to be seen.

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Nvidia nears $4 trillion milestone as AI boom continues

Nvidia has made financial history by nearly reaching a $4 trillion market valuation, a milestone highlighting investor confidence in AI as a powerful economic force.

Shares briefly peaked at $164.42 before closing slightly lower at $162.88, just under the record threshold. The rise underscores Nvidia’s position as the leading supplier of AI chips amid soaring demand from major tech firms.

Led by CEO Jensen Huang, the company now holds a market value larger than the economies of Britain, France, or India.

Nvidia’s growth has helped lift the Nasdaq to new highs, aided in part by improved market sentiment following Donald Trump’s softened stance on tariffs.

However, trade barriers with China continue to pose risks, including export restrictions that cost Nvidia $4.5 billion in the first quarter of 2025.

Despite those challenges, Nvidia secured a major AI infrastructure deal in Saudi Arabia during Trump’s visit in May. Innovations such as the next-generation Blackwell GPUs and ‘real-time digital twins’ have helped maintain investor confidence.

The company’s stock has risen over 21% in 2025, far outpacing the Nasdaq’s 6.7% gain. Nvidia chips are also being used by the US administration as leverage in global tech diplomacy.

While competition from Chinese AI firms like DeepSeek briefly knocked $600 billion off Nvidia’s valuation, Huang views rivalry as essential to progress. With the growing demand for complex reasoning models and AI agents, Nvidia remains at the forefront.

Still, the fast pace of AI adoption raises concerns about job displacement, with firms like Ford and JPMorgan already reporting workforce impacts.

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Quantum leap in Finland pushes qubit to millisecond range

Researchers in Finland have achieved a significant leap in quantum computing by extending qubit coherence to nearly one millisecond. The team at Aalto University and the VTT Technical Research Centre reported their success in Nature Communications, marking a new record for superconducting transmon qubits.

Coherence time, the duration a quantum bit maintains its state, is crucial for quantum computing. The Finnish transmon qubit reached an echo dephasing time of 1.057 milliseconds and a median energy relaxation time of 425 microseconds, far surpassing typical values.

Such improvements reduce error rates and boost the reliability of quantum operations, paving the way for more scalable and efficient quantum processors. Researchers also shared full details of their fabrication and measurement methods to ensure reproducibility and aid future development.

Due to this, Finland demonstrates its growing role in global quantum innovation, with strategic support from national and European institutions. Experts believe this progress will strengthen hopes of achieving fault-tolerant quantum computing shortly.

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AI interviews leave job candidates in the dark

An increasing number of startups are now using AI to conduct video job interviews, often without making this clear to applicants. Senior software developers are finding themselves unknowingly engaging with automated systems instead of human recruiters.

Applicants are typically asked to submit videos responding to broad interview prompts, including examples and case studies, often without time constraints or human engagement.

AI processes these asynchronous interviews, which evaluate responses using natural language processing, facial cues and tone to assign scores.

Critics argue that this approach shifts the burden of labour onto job seekers, while employers remain unaware of the hidden costs and flawed metrics. There is also concern about the erosion of dignity in hiring, with candidates treated as data points rather than individuals.

Although AI offers potential efficiencies, the current implementation risks deepening dysfunctions in recruitment by prioritising speed over fairness, transparency and candidate experience. Until the technology is used more thoughtfully, experts advise job seekers to avoid such processes altogether.

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AI industry warned of looming financial collapse

Despite widespread popularity and unprecedented investment, OpenAI may be facing a deepening financial crisis. Since launching ChatGPT, the company has lost billions yearly, including an estimated $5 billion in 2024 alone.

Tech critic Ed Zitron argues that the AI industry is heading towards a ‘subprime AI crisis’, comparing the sector’s inflated valuations and spiralling losses to the subprime mortgage collapse in 2007. Startups like OpenAI and Anthropic continue to operate at huge losses.

Companies relying on AI infrastructure are already feeling the squeeze. Anysphere, which uses Anthropic’s models, recently raised prices sharply, angering users and blaming costs passed down from its infrastructure provider.

To manage exploding demand, OpenAI has also introduced tiered pricing and restricted services for free users, raising concerns that access to AI tools will soon be locked behind expensive paywalls. With 800 million weekly users, any future revenue strategy could alienate a large part of its global base.

Zitron believes these conditions cannot sustain long-term growth and will ultimately damage revenues and public trust. The industry, he warns, may be building its future on unstable ground.

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AI fluency is the new office software skill

As tools like ChatGPT, Copilot, and other generative AI systems become embedded in daily workflows, employers increasingly prioritise a new skill: AI fluency.

Much like proficiency in office software became essential in the past, knowing how to collaborate effectively with AI is now a growing requirement across industries.

But interacting with AI isn’t always intuitive. Many users encounter generic or unhelpful responses from chatbots and assume the technology is limited. In reality, AI systems rely heavily on the context they are given, and that’s where users come in.

Rather than considering AI as a search engine, it helps to see it as a partner needing guidance. A vague prompt like ‘write a proposal’ is unlikely to produce meaningful results. A better approach provides background, direction, and clear expectations.

One practical framework is CATS: context, angle, task, and style.

Context sets the stage. It includes your role, the situation, the audience, and constraints. For example, ‘I’m a nonprofit director writing a grant proposal for an environmental education program in urban schools’ offers much more to work with than a general request.

Angle defines the perspective. You can ask the AI to act as a peer reviewer, a mentor, or even a sceptical audience member. The roles help shape the tone and focus of the response.

Task clarifies the action you want. Instead of asking for help with a presentation, try ‘Suggest three ways to improve my opening slide for an audience of small business owners.’

Style determines the format and tone. Whether you need a formal report, a friendly email, or an outline in bullet points, specifying the style helps the AI deliver a more relevant output.

Beyond prompts, users can also practice context engineering—managing the environment around the prompt. The method includes uploading relevant documents, building on previous chats, or setting parameters through instructions. The steps help tailor responses more closely to your needs.

Think of prompting as a conversation, not a one-shot command. If the initial response isn’t ideal, clarify, refine, or build on it. Ask follow-up questions, adjust your instructions, or extract functional elements to develop further in a new thread.

That said, it’s essential to stay critical. AI systems can mimic natural conversation, but don’t truly understand the information they provide. Human oversight remains crucial. Always verify outputs, especially in professional or high-stakes contexts.

Ultimately, AI tools are powerful collaborators—but only when paired with clear guidance and human judgment. Provide the correct input, and you’ll often find the output exceeds expectations.

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