Future of work Archives | Digital Watch Observatory

Learning to integrate AI into daily work like a Googler

A Stanford-backed study examined how Googlers adopt AI, showing why some embrace it while others struggle to find value. Researchers found that many initially relied on ‘simple substitution,’ replacing tasks with AI, but achieved limited benefit because to effort exceeded the payoff.

Successful adopters approached AI differently, applying a product management mindset. They identified high-value opportunities, understood the capabilities of various AI tools, and redesigned workflows rather than seeking quick fixes.

Generative AI, described as a Swiss Army knife of technology, benefits from this methodical approach.

The study highlighted five strategies for deep AI adoption: focus on work blockers rather than technology, select the right tool for the task, start small with rapid experiments, think holistically across systems, and document successful practices for others to replicate.

These techniques help users integrate AI into broader processes, elevate strategic thinking, and increase productivity.

Researchers emphasised that AI adoption thrives when employees rethink workflows and collaborate to share insights. Using a product management mindset, teams can integrate AI to boost creativity, efficiency, and decision-making across the organisation.

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OpenAI acquires Astral to expand Codex developer tools

Astral is being acquired by OpenAI as developer tooling becomes a bigger focus, with the deal aimed at boosting the capabilities of its Codex platform. The move is expected to bring widely used open-source Python tools into the ecosystem, including uv, Ruff, and ty, which are already embedded in millions of developer workflows.

The acquisition is intended to strengthen Codex’s role across the full software development lifecycle, moving beyond code generation toward more integrated and autonomous systems.

The company has positioned Codex as a system that can plan changes, modify codebases, run tools, and verify results, with usage already growing rapidly. OpenAI reported a threefold increase in users and a fivefold increase in activity this year, bringing its total to more than 2 million weekly active users.

Astral’s tools are seen as a natural fit for this vision, given their role in managing dependencies, enforcing code quality, and improving reliability in Python-based development. Integrating these tools could allow AI agents to interact more directly with the environments developers already use.

The acquisition also reinforces the importance of Python as a core language in modern software development, particularly across AI, data science, and backend systems. OpenAI said it plans to continue supporting Astral’s open-source projects while exploring deeper integration with Codex.

The deal remains subject to regulatory approval, and both companies will operate independently until completion. Once finalised, Astral’s team is expected to join OpenAI’s Codex division as the company continues building AI systems designed to collaborate across the development workflow.

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Firefox adds VPN and AI tools

Mozilla is preparing a major update to its Firefox browser, introducing a built-in VPN and new AI-powered tools. The company says the changes aim to strengthen privacy and give users greater control over browsing.

The integrated VPN will hide the user’s location and IP address while offering a limited monthly data allowance in selected regions. The feature replaces a previously separate paid service and will be built into the browser.

New AI tools will support tasks such as summarising content and comparing products without leaving a web page. Additional features include split-screen browsing and tools to organise notes across tabs.

The update also introduces redesigned settings and a refreshed interface to improve usability. Mozilla says the changes are intended to create a more personalised and modern browsing experience.

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EU digital wallet nears rollout

Interoperability tests for the European Digital Identity Wallet have marked a significant step towards deployment, following a major industry-wide exercise. Systems were tested under real conditions to ensure compatibility across providers.

The initiative forms part of the EU’s plan to provide citizens with a secure digital wallet for identification and online services. The system will allow users to store identity data and access services, including electronic signatures.

Results showed that most test scenarios were successfully completed, confirming that independent systems can work together effectively. The exercise also highlighted areas requiring further refinement ahead of wider implementation.

EU officials and industry leaders said the progress supports the development of a unified digital ecosystem. The wallet is expected to simplify everyday services while strengthening security and trust in digital identity solutions.

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Smart Ship Hub calls for careful approach to AI cameras on vessels

Digital vessel performance platform Smart Ship Hub is calling on the maritime industry to embrace AI-enabled camera systems as proactive safety tools, while insisting that their deployment must be underpinned by strong governance and genuine respect for seafarers’ working and living environments.

The company warns that, introduced without clarity or context, the technology risks being perceived as surveillance rather than safety enhancement.

Captain Nagpaul, Voyage Performance Specialist at Smart Ship Hub, outlined a broad range of operational applications for AI cameras at sea, from early fire detection and cargo monitoring during high-risk activities such as mooring operations, to improved situational awareness in areas of poor visibility and high vessel traffic.

The systems can also generate time-stamped visual records to support incident investigations and enable shore-based specialists to provide remote technical support through secure mobile applications.

Smart Ship Hub CEO Joy Basu argued that resisting the technology is not a viable strategy for the sector, noting that crew acceptance improves when workers see tangible benefits such as reduced workload and safer daily operations.

He described AI camera systems as powerful tools that enhance safety and strengthen the connection between ship and shore, but stressed they are not substitutes for professional experience and judgement.

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Horizon Worlds remains active as Meta reconsiders VR plans

Meta has reversed its earlier decision to discontinue virtual reality support for Horizon Worlds, allowing the platform to remain available on VR headsets despite previous plans to prioritise mobile and web access.

The decision follows an internal reassessment of user engagement trends, which indicate limited adoption of VR-based social platforms.

While Horizon Worlds was once positioned as central to the company’s metaverse ambitions, demand has remained relatively low, raising questions about the long-term viability of immersive social environments.

Financial pressures also continue to shape strategy.

Meta’s Reality Labs division has recorded substantial losses since 2021, reflecting high investment in virtual and augmented reality technologies without corresponding commercial returns.

Industry data further suggests declining headset sales, reinforcing uncertainty around VR as a mainstream consumer platform.

In contrast, mobile usage of Horizon Worlds is growing faster. Increasing downloads point to broader accessibility and improved product-market alignment, though revenue generation remains limited.

As a result, Meta is prioritising mobile development instead of fully abandoning VR, maintaining a dual approach while seeking more sustainable engagement models.

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EU scrutiny intensifies over Broadcom VMware licensing dispute

Broadcom is facing increased regulatory pressure in the EU following a formal antitrust complaint concerning changes to VMware licensing practices.

The complaint highlights growing tensions between large technology providers and European cloud infrastructure firms.

The filing, submitted by Cloud Infrastructure Services Providers in Europe, raises concerns that revised licensing models could significantly alter market dynamics.

European providers argue that the changes may limit flexibility, increase costs, and affect their ability to compete effectively in the cloud services sector.

At the centre of the dispute lies the broader issue of market concentration and control over critical digital infrastructure.

Industry stakeholders suggest that restrictive licensing conditions could reshape access to essential virtualisation technologies, which underpin a wide range of cloud and enterprise services across the EU.

Regulatory attention is expected to focus on whether such practices align with the EU competition rules, particularly regarding fair access and market neutrality.

The case emerges at a time when European policymakers are intensifying oversight of dominant technology firms and seeking to strengthen digital sovereignty across strategic sectors.

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Malaysia tightens rules on data centres

Malaysia has quietly restricted new data centre approvals to projects linked to AI, signalling a strategic shift in its digital economy. Authorities confirmed that non-AI development has been halted for nearly 2 years.

The policy reflects mounting pressure on energy and water resources as demand for data centres accelerates. Officials aim to ensure infrastructure supports high-value AI projects rather than lower-impact investments.

Rapid growth has positioned Malaysia as a key regional hub, attracting major global technology firms. Concerns remain over whether the country risks hosting infrastructure without building local innovation capacity.

Leaders say future efforts will focus on balancing investment with domestic benefits and energy sustainability. Plans include expanding power supply and strengthening national AI capabilities to secure long term gains.

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UK drops AI copyright opt-out plan amid growing industry divide

The UK Government has abandoned its previous preference for an AI copyright opt-out model, signalling a shift in policy following strong opposition from creative industries.

Ministers now acknowledge that there is no clear consensus on how AI developers should access copyrighted material.

Concerns from writers, artists and rights holders focused on the use of their work in training AI systems without permission.

Liz Kendall confirmed that extensive consultation exposed significant disagreement, prompting the government to step back from its earlier position that would have allowed the use of copyrighted content unless creators opted out.

A joint report from the Department for Science, Innovation and Technology and the Department for Culture, Media and Sport states that further evidence is required before any legislative change.

Policymakers in the UK will assess how copyright frameworks influence AI development, while also examining international regulation, licensing models and ongoing legal disputes.

Government strategy now centres on balancing innovation with fair compensation.

Officials emphasise that creators must retain control over how their work is used, while AI developers require access to high-quality data to remain competitive. Potential measures include labelling AI-generated content to reduce risks linked to disinformation and deepfakes.

No timeline has been set for reform, reflecting the complexity of aligning economic growth with intellectual property protection.

The debate unfolds alongside broader ambitions outlined by Rachel Reeves, who has identified AI as a central driver of future economic expansion, with the UK aiming to lead adoption across the G7.

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MIT develops method to detect overconfident AI

Researchers at MIT have introduced a new method to assess the reliability of large language models more accurately. Many LLMs can produce confident yet incorrect responses, posing risks in high-stakes applications such as healthcare or finance.

The team combined self-consistency checks with an ensemble approach, comparing a model’s outputs to similar LLMs. This total uncertainty (TU) metric more accurately identifies overconfident predictions and can flag hallucinations that simpler methods may miss.

Experiments on ten common tasks- including question-answering, translation, summarisation, and math reasoning- showed that TU outperformed individual uncertainty measures.

The ensemble approach relies on models from different developers to ensure diversity and credibility, offering a practical and energy-efficient way to gauge AI confidence.

Researchers suggest TU could also help reinforce correct answers during training, improving overall model performance. Future developments aim to enhance the metric’s accuracy for open-ended tasks and explore additional forms of uncertainty.

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