Future of work Archives | Page 110 of 242 | Digital Watch Observatory

AI energy demand strains electrical grids

Microsoft CEO Satya Nadella recently delivered a key insight, stating that the biggest hurdle to deploying new AI solutions is now electrical power, not chip supply. The massive energy requirements for running large language models (LLMs) have created a critical bottleneck for major cloud providers.

Nadella specified that Microsoft currently has a ‘bunch of chips sitting in inventory’ that cannot be plugged in and utilised. The problem is a lack of ‘warm shells’, meaning data centre buildings that are fully equipped with the necessary power and cooling capacity.

The escalating power requirements of AI infrastructure are placing extreme pressure on utility grids and capacity. Projections from the Lawrence Berkeley National Laboratory indicate that US data centres could consume up to 12 percent of the nation’s total electricity by 2028.

The disclosure should serve as a warning to investors, urging them to evaluate the infrastructure challenges alongside AI’s technological promise. This energy limitation could create a temporary drag on the sector, potentially slowing the massive projected returns on the $5 trillion investment.

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Old laws now target modern tracking technology

Class-action privacy litigation continues to grow in frequency, repurposing older laws to address modern data tracking technologies. Recent high-profile lawsuits have applied the California Invasion of Privacy Act and the Video Privacy Protection Act.

A unanimous jury verdict recently found Meta Platforms violated CIPA Section 632 (which is now under appeal) by eavesdropping on users’ confidential communications without consent. The court ruled that Meta intentionally used its SDK within a sexual health app, Flo, to intercept sensitive real-time user inputs.

That judgement suggests an electronic device under the statute need not be physical, with a user’s phone qualifying as the requisite device. The legal success in these cases highlights a significant, rising risk for all companies utilising tracking pixels and software development kits (SDKs).

Separately, the VPPA has found new power against tracking pixels in the case of Jancik v. WebMD concerning video-viewing data. The court held that a consumer need not pay for a video service but can subscribe by simply exchanging their email address for a newsletter.

Companies must ensure their privacy policies clearly disclose all such tracking conduct to obtain explicit, valid consent. The courts are taking real-time data interception seriously, noting intentionality may be implied when a firm fails to stem the flow of sensitive personally identifiable information.

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ALX and Anthropic partner with Rwanda on AI education

A landmark partnership between ALX, Anthropic, and the Government of Rwanda has launched a major AI learning initiative across Africa.

The program introduces ‘Chidi’, an AI-powered learning companion built on Anthropic’s Claude model. Instead of providing direct answers, the system is designed to guide learners through critical thinking and problem-solving, positioning African talent at the centre of global tech innovation.

An initiative, described as one of the largest AI-enhanced education deployments on the continent, that will see Chidi integrated into Rwanda’s public education system. A pilot phase will involve up to 2,000 educators and select civil servants.

According to the partners, the collaboration aims to ensure Africa’s youth become creators of AI technology instead of remaining merely consumers of it.

A three-way collaboration that unites ALX’s training infrastructure, Anthropic’s AI technology, and Rwanda’s progressive digital policy. The working group, the researchers noted, will document insights to inform Rwanda’s national AI policy.

The initiative sets a new standard for inclusive, AI-powered learning, with Rwanda serving as a launch hub for future deployments across the continent.

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Google launches WeatherNext 2 for faster forecasts

WeatherNext 2, Google’s latest AI forecasting model, offers significantly faster and more precise weather predictions. Developed by DeepMind and Google Research, the model produces forecasts eight times faster with hourly resolution, aiding decisions from supply chains to daily commutes.

The model generates hundreds of weather scenarios from a single starting point, enabling agencies and businesses to plan for all potential outcomes, including extreme events.

Its predictions outperform the previous WeatherNext model on 99.9% of variables, providing more accurate forecasts for temperature, wind, humidity, and other factors.

A Functional Generative Network (FGN) powers WeatherNext 2, allowing it to predict both individual weather elements and complex interconnected systems. The system enables applications such as forecasting regional heatwaves or wind farm output, while keeping predictions physically realistic.

Forecast data is available through Google Earth Engine, BigQuery, and an early access programme on Vertex AI, while WeatherNext 2 now powers Search, Gemini, Pixel Weather, and Google Maps’ Weather API.

Google plans to expand access further, supporting researchers, developers, and businesses to make informed decisions and accelerate scientific discovery.

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Singapore’s HTX boosts Home Team AI capabilities with Mistral partnership

HTX has signed a new memorandum of understanding with France’s Mistral AI to accelerate joint research on large language and multimodal models for public safety. The partnership will expand into embodied AI, video analytics, cybersecurity, and automated fire safety systems.

The deal builds on earlier work co-developing Phoenix, HTX’s internal LLM series, and a Home Team safety benchmark for evaluating model behaviour. The organisations will now collaborate on specialised models for robots, surveillance platforms, and cyber defence tools.

Planned capabilities include natural-language control of robotic systems, autonomous navigation in unfamiliar environments, and object retrieval. Video AI tools will support predictive tracking and proactive crime alerts across multiple feeds.

Cybersecurity applications include automated architecture reviews and on-demand vulnerability testing. Fire safety tools will use multimodal comprehension to analyse architectural plans and flag compliance issues without manual checks.

The partnership forms part of the HTxAI movement, which aims to strengthen Home Team AI capacity through research collaborations with industry and academia. Mistral’s flagship models, Mistral Medium 3.1 and Magistral, are currently among the top performers in multilingual and multimodal benchmarks.

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Cloudflare buys AI platform Replicate

Cloudflare has agreed to purchase Replicate, a platform simplifying the deployment and running of AI models. The technology aims to cut down on GPU hardware and infrastructure needs typically required for complex AI.

The acquisition will integrate Replicate’s extensive library of over 50,000 AI models into the Cloudflare platform. Developers can then access and deploy any AI model globally using just a single line of code for rapid implementation.

Matthew Prince, Cloudflare’s chief executive, stated the acquisition will make his company the ‘most seamless, all-in-one shop for AI development’. The move abstracts away infrastructure complexities so developers can focus only on delivering amazing products.

Replicate had previously raised $40m in venture funding from prominent investors in the US. Integrating Replicate’s community and models with Cloudflare’s global network will create a singular platform for building tomorrow’s next big AI applications.

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Abridge AI scribe allegedly gives doctors an hour back daily

A new study led by Yale University confirmed that Abridge’s ambient AI scribe significantly reduces burnout for medical professionals. Clinicians who used the documentation technology experienced a sharp decline in burnout rates over the first thirty days of use.

AI may offer a scalable solution to administrative demands faced by practitioners nationwide. The quality study, published in ‘Jama Network Open’, examined 263 practitioners across six different healthcare systems.

Burnout rates dropped from 51.9 percent to 38.8 percent after the one-month intervention programme. Secondary analysis showed the AI scribes reduced the odds of burnout by a substantial seventy-four percent.

The ambient AI scribe also led to substantial improvements in the clinicians’ cognitive task load. Practitioners reported they were better able to give undivided attention to patients during their clinical consultations.

High documentation demands are increasing clinician attrition, whilst physician shortages multiply across the sector. Reducing the burdensome administrative load is now critical for maintaining quality patient care and professional well-being.

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UK uses AI to fight drug-resistant infections

The UK is harnessing AI to combat the growing threat of drug-resistant infections, a crisis often called ‘the silent pandemic’. The Fleming Initiative and GSK will invest £45m in AI research to speed up new antibiotics and combat deadly bacteria and fungi.

The project targets Gram-negative bacteria, such as E. coli and Klebsiella, which resist treatment due to their protective outer layers. Researchers will test different molecules and use AI to identify which can penetrate and persist in these bacteria.

The goal is to shorten years of laboratory work into rapid computational predictions that guide the design of effective antibiotics.

AI will predict how resistant infections emerge and spread, helping scientists anticipate threats early. The initiative will also target deadly fungal infections, such as Aspergillus, which threaten people with weakened immune systems.

Experts hope the approach can outpace bacterial evolution and reduce the human toll from untreatable infections. Fleming Initiative director Alison Holmes emphasised the vital role of antibiotics in modern medicine and warned that overuse has squandered this critical resource.

Tony Wood, GSK’s chief scientific officer, said the project will open new avenues for discovering antibiotics while anticipating resistance, transforming the treatment and prevention of serious infections worldwide.

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OpenAI accelerates enterprise AI growth after Gartner names it an emerging leader

The US tech firm, OpenAI, gained fresh momentum after being named an Emerging Leader in Generative AI by Gartner. The assessment highlights strong industry confidence in OpenAI’s ability to support companies that want reliable and scalable AI systems.

Enterprise clients have increasingly adopted the company’s tools after significant investment in privacy controls, data governance frameworks and evaluation methods that help organisations deploy AI safely.

More than one million companies now use OpenAI’s technology, driven by workers who request ChatGPT as part of their daily tasks.

Over eight hundred million weekly users arrive already familiar with the tool, which shortens pilot phases and improves returns, rather than slowing transformation with lengthy onboarding. ChatGPT Enterprise has experienced sharp expansion, recording ninefold growth in seats over the past year.

OpenAI views generative AI as a new layer of enterprise infrastructure rather than a peripheral experiment. The next generation of systems is expected to be more collaborative and closely integrated with corporate operations, supporting new ways of working across multiple sectors.

The company aims to help organisations convert AI strategies into measurable results, rather than abstract ambitions.

Executives described the recognition as encouraging, although they stressed that broader progress still lies ahead. OpenAI plans to continue strengthening its enterprise platform, enabling businesses to integrate AI responsibly and at scale.

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EU aviation regulator opens debate on AI oversight and safety

EASA has issued its first regulatory proposal on AI in aviation, opening a three-month consultation for industry feedback. The draft focuses on trustworthy, data-driven AI systems and anticipates applications ranging from basic assistance to human–AI teaming.

The move comes amid wider criticism of EU AI rules from major tech firms and political leaders. Aviation stakeholders are now assessing whether compliance costs and operational demands could slow development or disrupt competitive positioning across the sector.

Experts warn that adapting to the framework may require significant investment, particularly for companies with limited resources. Others may accelerate AI adoption to preserve market advantage, especially where safety gains or efficiency improvements justify rapid deployment.

EASA stresses that consultation is essential to balance strict assurance requirements with the flexibility needed for innovation. Privacy and personal data issues remain contentious, shaping expectations for acceptable AI use in safety-critical environments.

Meanwhile, Airbus is pushing to reach 75 A320-family deliveries per month by 2027, driven by the A321neo’s strong order book. In parallel, Mitsui OSK Lines continues to lead the global LNG carrier market, reflecting broader momentum across adjacent transport sectors.

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