Future of work

Cloudflare launches Moltworker platform after AI assistant success

The viral success of Moltbot has prompted Cloudflare to launch a dedicated platform for running the popular AI assistant. The move underscores how the networking company is positioning itself at the centre of the emerging AI agent ecosystem.

Moltbot, an open-source AI personal assistant built on Anthropic’s Claude model, became a viral sensation last month and demonstrated the effectiveness of Cloudflare’s edge infrastructure for running autonomous agents.

The assistant’s rapid adoption validated CEO Matthew Prince’s assertion that AI agents represent a ‘fundamental re-platforming’ of the internet. In response, Cloudflare quickly released Moltworker, a platform specifically designed for securely operating Moltbot and similar AI agents.

Prince described the dynamic as creating a ‘virtuous flywheel,’ with AI agents serving as the new users of the internet, whilst Cloudflare provides the platform they run on and the network they pass through.

Industry analysts have highlighted why Cloudflare’s infrastructure is well-suited to the era of agentic computing. RBC Capital Markets noted that AI agents require low-latency, secure inferencing at the network’s edge- precisely what Cloudflare’s Workers platform delivers.

The continued proliferation of AI agents is expected to drive ongoing demand for these capabilities.

Prince, who co-founded the company, revealed that Cloudflare ended 2025 with 4.5 million active human developers on its platform, providing a substantial foundation for the next wave of AI-driven applications and agents built on the company’s infrastructure.

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South Korea launches labour–government body to address AI automation pressures

A new consultative body has been established in South Korea to manage growing anxiety over AI and rapid industrial change.

The Ministry of Employment and Labour joined forces with the Korean Confederation of Trade Unions to create a regular channel for negotiating how workplaces should adapt as robots and AI systems become more widespread across key industries.

The two sides will meet monthly to seek agreement on major labour issues. The union argued for a human-centred transition instead of a purely technological one, urging the government to strengthen protections for workers affected by restructuring and AI-powered production methods.

Officials in South Korea responded by promising that policy decisions will reflect direct input gathered from employees on the ground.

Concerns heightened after Hyundai Motor confirmed plans to mass-produce Atlas humanoid robots by 2028 and introduce them across its assembly lines. The project forms part of the company’s ambition to build a ‘physical AI’ future where machines perform risky or repetitive tasks in place of humans.

The debate intensified as new labour statistics showed a sharp decline in employment within professional and scientific technical services, where AI deployment is suspected of reducing demand for new hires.

KCTU warned that industrial transformation could widen inequality unless government policy prioritises people over profit.

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AI adoption leaves workers exhausted as a new study reveals rising workloads

Researchers from UC Berkeley’s Haas School of Business examined how AI shapes working habits inside a mid-sized technology firm, and the outcome raised concerns about employee well-being.

Workers embraced AI voluntarily because the tools promised faster results instead of lighter schedules. Over time, staff absorbed extra tasks and pushed themselves beyond sustainable limits, creating a form of workload creep that drained energy and reduced job satisfaction.

Once the novelty faded, employees noticed that AI had quietly intensified expectations. Engineers reported spending more time correcting AI-generated material passed on by colleagues, while many workers handled several tasks at once by combining manual effort with multiple automated agents.

Constant task-switching gave a persistent sense of juggling responsibilities, which lowered the quality of their focus.

These researchers also found that AI crept into personal time, with workers prompting tools during breaks, meetings, or moments intended for rest.

As a result, the boundaries between professional and private time weakened, leaving many employees feeling less refreshed and more pressured to keep up with accelerating workflows.

The study argues that AI increased the density of work rather than reducing it, undermining promises that automation would ease daily routines.

Evidence from other institutions reinforces the pattern, with many firms reporting little or no productivity improvement from AI. Researchers recommend clearer company-level AI guidelines to prevent overuse and protect staff from escalating workloads driven by automation.

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AML breach triggers major fine for a Netherlands crypto firm

Dutch regulators have fined a cryptocurrency service provider for operating in the Netherlands without the legally required registration, underscoring intensifying enforcement across Europe’s digital asset sector.

De Nederlandsche Bank (DNB) originally imposed an administrative penalty of €2,850,000 on 2 October 2023. Authorities found the firm breached the Anti-Money Laundering and Anti-Terrorist Financing Act by offering unregistered crypto services.

Registration rules, introduced on 21 May 2020, require providers to notify supervisors due to elevated risks linked to transaction anonymity and potential misuse for money laundering or terrorist financing.

Non-compliance prevented the provider from reporting unusual transactions to the Financial Intelligence Unit-Netherlands. Regulators weighed the severity, duration, and culpability of the breach when determining the penalty amount.

Legal proceedings later altered the outcome. The Court of Rotterdam ruled on 19 December 2025 to reduce the fine to €2,277,500 and annulled the earlier decision on objection.

DNB has since filed a further appeal with the Trade and Industry Appeals Tribunal, leaving the case ongoing as oversight shifts toward MiCAR licensing requirements introduced in December 2024.

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Facebook boosts user creativity with new Meta AI animations

Meta has introduced a new group of Facebook features that rely on Meta AI to expand personal expression across profiles, photos and Stories.

Users gain the option to animate their profile pictures, turning a still image into a short motion clip that reflects their mood instead of remaining static. Effects such as waves, confetti, hearts and party hats offer simple tools for creating a more playful online presence.

The update also includes Restyle, a tool that reimagines Stories and Memories through preset looks or AI-generated prompts. Users may shift an ordinary photograph into an illustrated, anime or glowy aesthetic, or adjust lighting and colour to match a chosen theme instead of limiting themselves to basic filters.

Facebook will highlight Memories that work well with the Restyle function to encourage wider use.

Feed posts receive a change of their own through animated backgrounds that appear gradually across accounts. People can pair text updates with visual backdrops such as ocean waves or falling leaves, creating messages that stand out instead of blending into the timeline.

Seasonal styles will arrive throughout the year to support festive posts and major events.

Meta aims to encourage more engaging interactions by giving users easy tools for playful creativity. The new features are designed to support expressive posts that feel more personal and more visually distinctive, helping users craft share-worthy moments across the platform.

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Crypto confiscation framework approved by State Duma

Russia’s State Duma has passed legislation establishing procedures for the seizure and confiscation of cryptocurrencies in criminal investigations. The law formally recognises digital assets as property under criminal law.

The bill cleared its third reading on 10 February and now awaits approval from the Federation Council and presidential signature.

Investigators may seize digital currency and access devices, with specialists required during investigative actions. Protocols must record asset type, quantity, and wallet identifiers, while access credentials and storage media are sealed.

Where technically feasible, seized funds may be transferred to designated state-controlled addresses, with transactions frozen by court order.

Despite creating a legal basis for confiscation, the law leaves critical operational questions unresolved. No method exists for valuing volatile crypto assets or for their storage, cybersecurity, or liquidation.

Practical cooperation with foreign crypto platforms, particularly under sanctions, also remains uncertain.

The government is expected to develop subordinate regulations covering state custody wallets and enforcement mechanics. Russia faces implementation challenges, including non-custodial wallet access barriers, stablecoin freezing limits, and institutional oversight risks.

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AI tool accelerates detection of foodborne bacteria

Researchers have advanced an AI system designed to detect bacterial contamination in food, dramatically improving accuracy and speed. The upgraded tool distinguishes bacteria from microscopic food debris, reducing diagnostic errors in automated screening.

Traditional testing relies on cultivating bacterial samples, taking days, and requiring specialist laboratory expertise. The deep learning model analyses bacterial microcolony images, enabling reliable detection within about three hours.

Accuracy gains stem from expanded model training. Earlier versions, trained solely on bacterial datasets, misclassified food debris as bacteria in more than 24% of cases.

Adding debris imagery to training eliminated misclassifications and improved detection reliability across food samples. The system was tested on pathogens including E. coli, Listeria, and Bacillus subtilis, alongside debris from chicken, spinach, and cheese.

Researchers say faster, more precise early detection could reduce foodborne outbreaks, protect public health, and limit costly product recalls as the technology moves toward commercial deployment.

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AI helps keep Saudi Arabia’s Qiddiya City megaproject on track

Qiddiya City, a purpose-built entertainment, sports and cultural destination covering nearly three times the area of Paris, involves more than 700 companies and 22,000 workers, with thousands of assets and complex data flowing across teams.

Microsoft 365 Copilot has been integrated into Qiddiya Investment Company’s project dashboards to help employees query data in natural language, saving time on reporting, email summarisation and document creation.

The technology also helps harmonise information across 20 different systems used by design and execution teams, simplifying tasks such as matching asset names and identifying discrepancies.

Copilot can extract insights that static dashboards miss, for example, flagging overdue invoices without engineer comments, enabling more informed decision-making.

QIC’s workforce has adopted Copilot for productivity beyond construction management, with the tool generating hundreds of thousands of emails and meeting summaries.

AlAli emphasises that careful planning and implementation are key to realising the benefits of AI at scale, underscoring how AI can provide an ‘unfair advantage’ when properly embedded into workflows for data-intensive projects.

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Olympic ice dancers performing to AI-generated music spark controversy

The Olympic ice dance format combines a themed rhythm dance with a free dance. For the 2026 season, skaters must draw on 1990s music and styles. While most competitors chose recognisable tracks, the Czech siblings used a hybrid soundtrack blending AC/DC with an AI-generated music piece.

Katerina Mrazkova and Daniel Mrazek, ice dancers from Czechia, made their Olympic debut using a rhythm dance soundtrack that included AI-generated music, a choice permitted under current competition rules but one that quickly drew attention.

The International Skating Union lists the rhythm dance music as ‘One Two by AI (of 90s style Bon Jovi)’ alongside ‘Thunderstruck’ by AC/DC. Olympic organisers confirmed the use of AI-generated material, with commentators noting the choice during the broadcast.

Criticism of the music selection extends beyond novelty. Earlier versions of the programme reportedly included AI-generated music with lyrics that closely resembled lines from well-known 1990s songs, raising concerns about originality.

The episode reflects wider tensions across creative industries, where generative tools increasingly produce outputs that closely mirror existing works. For the athletes, attention remains on performance, but questions around authorship and creative value continue to surface.

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Young Europeans lead surge in generative AI adoption

Generative AI tools saw significant uptake among young Europeans in 2025, with usage rates far outpacing the broader population. Data shows that 63.8% of individuals aged 16–24 across the EU engaged with generative AI, nearly double the 32.7% recorded among citizens aged 16–74.

Adoption patterns indicate that younger users are embedding AI into everyday routines at a faster pace. Private use led the trend, with 44.2% of young people applying generative AI in personal contexts, compared with 25.1% of the general population.

Educational deployment also stood out, reaching 39.3% among youth, while only 9.4% of the wider population reported similar academic use.

The professional application presented the narrowest gap between age groups. Around 15.8% of young users reported workplace use of generative AI tools, closely aligned with 15.1% among the overall population- a reflection of many young people still transitioning into the labour market.

Country-level data highlights notable regional differences. Greece (83.5%), Estonia (82.8%), and Czechia (78.5%) recorded the highest youth adoption rates, while Romania (44.1%), Italy (47.2%), and Poland (49.3%) ranked lowest.

The findings coincide with Safer Internet Day, observed on 10 February, underscoring the growing importance of digital literacy and online safety as AI usage accelerates.

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