Future of work

The UK’s invisible AI workforce is reshaping industries

According to a new analysis from Multiverse, the UK’s AI workforce is expanding far beyond traditional tech roles. Nurses, lecturers, librarians, surveyors, and other non-tech professionals increasingly apply AI, forming what experts call an ‘invisible AI workforce.’

Over two-thirds of AI apprentices are in roles without tech-related job titles, highlighting the widespread adoption of AI across industries.

An analysis of more than 2,500 Multiverse apprentices shows that AI is being applied in healthcare, education, government administration, financial services, and construction sectors. AI hotspots are emerging beyond London, with clusters in Trafford, Cheshire West and Chester, Leeds, and Birmingham.

Croydon leads among London boroughs for AI apprentices, followed by Tower Hamlets, Lewisham, and Wandsworth.

The UK’s AI workforce is also demographically diverse. Apprentices range in age from 19 to 71, with near-equal gender representation- 45% female and 54% male- compared with just 22% of women in AI roles nationwide.

Workers at all career stages are reskilling with AI, using the technology to address real-world problems, such as improving patient care or streamlining charity services.

Multiverse has trained over 20,000 apprentices in AI, data, and digital skills since 2016 and aims to train another 15,000 in the next two years. With 1,500 companies involved, the platform is helping non-tech workers use AI to boost productivity and innovation across the UK.

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AI-driven remote fetal monitoring launched by Lee Health

Lee Health has launched Florida’s first AI-powered birth care centre, introducing a remote fetal monitoring command hub to improve maternal and newborn outcomes across the Gulf Coast.

The system tracks temperature, heart rate, blood pressure, and pulse for mothers and babies, with AI alerting staff when vital signs deviate from normal ranges. Nurses remain in control but gain what Lee Health calls a ‘second set of eyes’.

‘Maybe mum’s blood pressure is high, maybe the baby’s heart rate is not looking great. We will be able to identify those things,’ said Jen Campbell, director of obstetrical services at Lee Health.

Once a mother checks in, the system immediately monitors across Lee Health’s network and sends data to the AI hub. AI cues trigger early alerts under certified clinician oversight and are aligned with Lee Health’s ethical AI policies, allowing staff to intervene before complications worsen.

Dr Cherrie Morris, vice president and chief physician executive for women’s services, said the hub strengthens patient safety by centralising monitoring and providing expert review from certified nurses across the network.

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CISA highlights failures after US agency cyber breach

The US Cybersecurity and Infrastructure Security Agency (CISA) has published lessons from its response to a federal agency breach.

Hackers exploited an unpatched vulnerability in GeoServer software, gaining access to multiple systems. CISA noted that the flaw had been disclosed weeks earlier and added to its Known Exploited Vulnerabilities catalogue, but the agency had not patched it in time.

Investigators also found that incident response plans were outdated and had not been tested. The lack of clear procedures delayed third-party support and restricted access to vital security tools during the investigation.

CISA added that endpoint detection alerts were not continuously reviewed and some US public-facing systems had no protection, leaving attackers free to install web shells and move laterally through the network.

The agency urged all organisations to prioritise patching, maintain and rehearse incident response plans, and ensure comprehensive logging to strengthen resilience against future cybersecurity attacks.

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UK government AI tool recovers £500m lost to fraud

A new AI system developed by the UK Cabinet Office has helped reclaim nearly £500m in fraudulent payments, marking the government’s most significant recovery of public funds in a single year.

The Fraud Risk Assessment Accelerator analyses data across government departments to identify weaknesses and prevent scams before they occur.

It uncovered unlawful council tax claims, social housing subletting, and pandemic-related fraud, including £186m linked to Covid support schemes. Ministers stated the savings would be redirected to fund nurses, teachers, and police officers.

Officials confirmed the tool will be licensed internationally, with the US, Canada, Australia, and New Zealand among the first partners expected to adopt it.

The UK announced the initiative at an anti-fraud summit with these countries, describing it as a step toward global cooperation in securing public finances through AI.

However, civil liberties groups have raised concerns about bias and oversight. Previous government AI systems used to detect welfare fraud were found to produce disparities based on age, disability, and nationality.

Campaigners warned that the expanded use of AI in fraud detection risks embedding unfair outcomes if left unchecked.

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OpenAI, Oracle and SoftBank expand Stargate with new US data centres

A collaboration between OpenAI, Oracle, and SoftBank has announced five new data centres under the Stargate initiative, a $500 billion plan to expand US AI computing infrastructure.

The latest sites bring total planned capacity to nearly 7 gigawatts, with over $400 billion already committed, putting the project ahead of schedule to meet its 2025 target of 10 gigawatts.

Oracle will lead three projects in Texas, New Mexico and the Midwest, adding over 5.5 gigawatts of capacity and creating more than 25,000 jobs.

SoftBank will develop facilities in Ohio and Texas, expected to scale to 1.5 gigawatts within 18 months. SB Energy, its affiliate, will provide rapid-build infrastructure for the Texas site.

The companies described the expansion as a step toward faster deployment and greater cost efficiency, making high-performance computing more widely accessible.

Site selection followed a nationwide review of more than 300 proposals, with further projects under evaluation, suggesting investment could surpass the original commitment.

OpenAI CEO Sam Altman stressed that compute power is key to unlocking AI’s promise, while Oracle and SoftBank leaders highlighted scalable infrastructure and energy expertise as central to the initiative. With Stargate, the partners aim to anchor the next wave of AI innovation on US soil.

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EU and Indonesia free trade deal strengthens tech and digital supply chains

The European Union and Indonesia have concluded negotiations on a Comprehensive Economic Partnership Agreement (CEPA) and an Investment Protection Agreement (IPA), strongly emphasising technology, digitalisation and sustainable industries.

The agreements are designed to expand trade, secure critical raw materials, and drive the green and digital transitions.

Under the CEPA, tariffs on 98.5% of trade lines will be removed, cutting costs by €600 million annually and giving EU companies greater access to Indonesia’s fast-growing technology sectors, including electric vehicles, electronics and pharmaceuticals.

European firms will also gain full ownership rights in key service areas such as computers and telecommunications, helping deepen integration of digital supply chains.

A deal that embeds commitments to the Paris Agreement while promoting renewable energy and low-carbon technologies. It also includes cooperation on digital standards, intellectual property protections and trade facilitation for sectors vital to Europe’s clean tech and digital industries.

With Indonesia as a leading producer of critical raw materials, the agreement secures sustainable and predictable access to inputs essential for semiconductors, batteries and other strategic technologies.

Launched in 2016, the negotiations concluded after the political agreement reached in July 2025 between Presidents Ursula von der Leyen and Prabowo Subianto. The texts will undergo legal review before the EU and Indonesia ratification, opening a new chapter in tech-enabled trade and innovation.

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AI-powered OSIA aims to boost student success rates in Cameroon

In Cameroon, where career guidance often takes a back seat, a new AI platform is helping students plan their futures. Developed by mathematician and AI researcher Frédéric Ngaba, OSIA offers personalised academic and career recommendations.

The platform provides a virtual tutor trained on Cameroon’s curricula, offering 400 exam-style tests and psychometric assessments. Students can input grades and aspirations, and the system builds tailored academic profiles to highlight strengths and potential career paths.

OSIA already has 13,500 subscribers across 23 schools, with plans to expand tenfold. Subscriptions cost 3,000 CFA francs for locals and €10 for students abroad, making it an affordable solution for many families.

Teachers and guidance counsellors see the tool as a valuable complement, though they stress it cannot replace human interaction or emotional support. Guidance professionals insist that social context and follow-up remain key to students’ development.

The Secretariat for Secular Private Education of Cameroon has authorized OSIA to operate. Officials expect its benefits to scale nationwide as the government considers a national AI strategy to modernise education and improve success rates.

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Waterloo study links blood patterns to spinal injury prognosis

Routine hospital blood samples could help predict spinal cord injury severity and even mortality, a University of Waterloo study has found. Researchers used machine learning to analyse millions of data points from over 2,600 patients.

The models identified patterns in routine blood measurements, including electrolytes and immune cells, collected during the first three weeks following injury. These patterns forecast recovery outcomes even when neurological exams were unreliable or impossible.

Researchers said the models were accurate in predicting injury severity and mortality as early as one to three days after admission. Accuracy improved further as more blood test data became available over time.

Unlike MRI or fluid-based biomarkers, which are not always accessible, routine blood tests are low-cost and widely available in hospitals. The approach could help clinicians make more informed and faster treatment decisions.

The team says its findings could reshape early critical care for spinal cord injuries. Predicting severity sooner could guide resource allocation and prioritise patients needing urgent intervention.

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Genetic experts and Microsoft design AI assistant to streamline sequencing

Microsoft, Drexel University, and the Broad Institute have developed a generative AI assistant to support genome sequencing. The study in ACM Transactions on Interactive Intelligent Systems demonstrates how AI can accelerate searching, filtering, and synthesising data in rare disease diagnosis.

Whole genome sequencing often takes weeks and yields a diagnosis in fewer than half of cases. Analysts must decide which unsolved cases to revisit as new research appears. The AI assistant flags cases for reanalysis and compiles new gene and variant data into a clear, usable format.

The team interviewed 17 genetics professionals to map workflows and challenges before co-designing the prototype. Sessions focused on problems such as data overload, slow collaboration, and difficulty prioritising unsolved cases, helping ensure the tool addressed real-world pain points.

The prototype enables collaborative sensemaking, allowing users to edit and verify AI-generated content. It offers flexible filtering to surface the most relevant evidence while keeping a comprehensive view, saving time and improving decision-making.

Microsoft-led researchers plan to test the assistant in real-world environments to measure its effect on diagnostic yield and workflow efficiency. They emphasise that success will depend on collaboration among developers, genetic experts, and system designers to build trustworthy and explainable tools.

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UN climate chief calls for action on AI, energy and finance ahead of COP30

At Climate Week NYC 2025, UN Climate Chief Simon Stiell urged governments and industries to accelerate clean energy, embrace industrial and AI transformation, and prepare for decisive progress at COP30 in Belém.

He highlighted that renewable investment reached US$2 trillion last year and that most new renewable projects are cheaper than fossil fuels, showing that the transition is already underway instead of being dependent on breakthroughs.

Stiell warned, however, that the benefits remain uneven and too many industrial projects lie idle. He called on governments to align policy and finance with the Paris Agreement sector by sector while unlocking innovation to create millions of jobs.

On AI, he stressed the importance of harnessing its catalytic potential responsibly, using it to manage energy grids, map climate risks and guide planning, rather than allowing it to displace human skills.

Looking ahead, the UN Climate Chief pointed to the Baku to Belém Roadmap, a plan to mobilise at least US$1.3 trillion annually by 2035 to support climate action in developing countries. He said COP30 must respond to this roadmap, accelerate progress on national climate commitments and deliver for vulnerable communities.

Above all, he argued that climate cooperation is bending the warming curve and must continue to drive real-world improvements in jobs, health and energy access instead of faltering.

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