Sadiq Khan voices strong concerns over AI job impact

London Mayor Sir Sadiq Khan has warned that AI could become a ‘weapon of mass destruction of jobs‘ if its impact is not managed correctly. He said urgent action is needed to prevent large-scale unemployment.

Speaking at Mansion House in the UK capital, Khan said London is particularly exposed due to the concentration of finance, professional services, and creative industries. He described the potential impact on jobs as ‘colossal’.

Khan said AI could improve public services and help tackle challenges such as cancer care and climate change. At the same time, he warned that reckless use could increase inequality and concentrate wealth and power.

Polling by City Hall suggests more than half of London workers expect AI to affect their jobs within a year. Sadiq Khan said entry-level roles may disappear fastest, limiting opportunities for young people.

The mayor announced a new task force to assess how Londoners can be supported through the transition. His office will also commission free AI training for residents.

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AI becomes the starting point for everyday online tasks

Consumers across the US are increasingly starting everyday digital tasks with AI, rather than search engines or individual apps, according to new research tracking changes in online behaviour.

Dedicated AI platforms are becoming the first place where intent is expressed, whether users are planning travel, comparing products, seeking advice on purchases and managing budgets.

Research shows more than 60% of US adults used a standalone AI platform last year, with younger generations especially likely to begin personal tasks through conversational tools rather than traditional search.

Businesses face growing pressure to adapt as AI reshapes how decisions begin, encouraging companies to rethink marketing, commerce and customer journeys around dialogue rather than clicks.

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Technology is reshaping smoke alarm safety

Smoke alarms remain critical in preventing fatal house fires, according to fire safety officials. Real-life incidents show how early warnings can allow families to escape rapidly spreading blazes.

Modern fire risks are evolving, with lithium-ion batteries and e-bikes creating fast and unpredictable fires. These incidents can release toxic gases and escalate before flames are clearly visible.

Traditional smoke alarm technology continues to perform reliably despite changes in household risks. At the same time, intelligent and AI-based systems are being developed to detect danger sooner.

Reducing false alarms has become a priority, as nuisance alerts often lead people to turn off devices. Fire experts stress that a maintained, certified smoke alarm is far safer than no smoke alarm at all.

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Matthew McConaughey moves decisively to protect AI likeness rights

Oscar-winning actor Matthew McConaughey has trademarked his image and voice to protect them from unauthorised use by AI platforms. His lawyers say the move is intended to safeguard consent and attribution in an evolving digital environment.

Several clips, including his well-known catchphrase from Dazed and Confused, have been registered with the United States Patent and Trademark Office. Legal experts say it is the first time an actor has used trademark law to address potential AI misuse of their likeness.

McConaughey’s legal team said there is no evidence of his image being manipulated by AI so far. The trademarks are intended to act as a preventative measure against unauthorised copying or commercial use.

The actor said he wants to ensure any future use of his voice or appearance is approved. Lawyers also said the approach could help capture value created through licensed AI applications.

Concerns over deepfakes and synthetic media are growing across the entertainment industry. Other celebrities have faced unauthorised AI-generated content, prompting calls for stronger legal protections.

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Saying ‘please’ to ChatGPT doesn’t change its energy footprint

Claims that removing polite words from ChatGPT prompts could reduce environmental impact are misleading, experts say. Extra words add minimal processing demand compared with overall system energy use.

AI consumes power mainly because every query triggers new computation. Unlike stored digital content, each AI response requires a full processing cycle within large-scale data centres.

Those facilities rely on constant electricity, cooling and water supplies. Rising AI use is therefore increasing pressure on energy systems and local infrastructure worldwide.

Experts argue the real issue lies in how AI infrastructure is planned and regulated. Focusing on prompt wording distracts from managing AI’s long-term environmental footprint.

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AI hoax targets Kate Garraway and family

Presenter Kate Garraway has condemned a cruel AI-generated hoax that falsely showed her with a new boyfriend. The images appeared online shortly after the death of her husband, Derek Draper.

Fake images circulated mainly on Facebook through impersonation accounts using her name and likeness. Members of the public and even friends mistakenly believed the relationship was real.

The situation escalated when fabricated news sites began publishing false stories involving her teenage son Billy. Garraway described the experience as deeply hurtful during an already raw period.

Her comments followed renewed scrutiny of AI image tools and platform responsibility. Recent restrictions aim to limit harmful and misleading content generated using artificial intelligence.

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Cloudflare acquires Human Native to build a fair AI content licensing model

San Francisco-based company Cloudflare has acquired Human Native, an AI data marketplace designed to connect content creators with AI developers seeking high-quality training and inference material.

A move that reflects growing pressure to establish clearer economic rules for how online content is used by AI systems.

The acquisition is intended to help creators and publishers decide whether to block AI access entirely, optimise material for machine use, or license content for payment instead of allowing uncontrolled scraping.

Cloudflare says the tools developed through Human Native will support transparent pricing and fair compensation across the AI supply chain.

Human Native, founded in 2024 and backed by UK-based investors, focuses on structuring original content so it can be discovered, accessed and purchased by AI developers through standardised channels.

The team includes researchers and engineers with experience across AI research, design platforms and financial media.

Cloudflare argues that access to reliable and ethically sourced data will shape long-term competition in AI. By integrating Human Native into its wider platform, the company aims to support a more sustainable internet economy that balances innovation with creator rights.

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South Korea establishes legal framework for tokenised securities

South Korea has approved legislation establishing a legal framework for issuing and trading tokenised securities. Amendments recognise blockchain-based securities as legitimate, with rules taking effect in January 2027.

Eligible issuers can create tokenised debt and equity products using blockchain infrastructure, while brokerages and licensed intermediaries will facilitate trading.

Regulators aim to combine the efficiency of distributed ledgers with investor protections and expand the use of smart contracts, enabling previously restricted investments in real estate, art, or agriculture to reach a broader audience.

Implementation will be led by the Financial Services Commission, in collaboration with the Financial Supervisory Service, the Korea Securities Depository, and industry participants.

Consultation bodies will develop infrastructure such as ledger-based account management systems, while local firms, including Mirae Asset Securities and Hana Financial Group, are preparing platforms for the new rules.

Analysts project tokenised assets could reach $2 trillion globally by 2028, with South Korea’s market at $249 billion.

The legislation also complements South Korea’s efforts to regulate blockchain and curb cryptocurrency-related financial crime.

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AI users spend 40% of saved time fixing errors

A recent study from Workday reveals that 40% of the time saved by AI in the workplace is spent correcting errors, highlighting a growing productivity paradox. Frequent AI users are bearing the brunt, often double- or triple-checking outputs to ensure accuracy.

Despite widespread adoption- 87% of employees report using AI at least a few times per week, and 85% save one to seven hours weekly-much of that time is redirected to fixing low-quality results rather than achieving net gains in productivity.

The findings suggest that AI can increase workloads rather than streamline operations if not implemented carefully.

Experts argue that AI should enhance human work rather than replace it. Employees need tools that handle complex tasks reliably, allowing teams to focus on creativity, judgment, and strategic decision-making.

Upskilling staff to manage AI effectively is critical to realising sustainable productivity benefits.

The study also highlights the risk of organisations prioritising speed over quality. Many AI tools place trust and accuracy responsibilities on employees, creating hidden costs and risks for decision-making.

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EU allocates $356 million for AI and digital technologies

The European Commission has announced €307.3 million ($356 million) in new funding to advance digital technologies across the EU. The initiative aims to strengthen Europe’s innovation, competitiveness, and strategic digital autonomy.

A total of €221.8 million will support projects in AI, robotics, quantum technologies, photonics, and virtual worlds. One focus is the development of trustworthy AI services and innovative data solutions to enhance EU digital leadership.

More than €40 million has been allocated to the Open Internet Stack Initiative, which aims to advance end-user applications and core stack technologies, boosting European digital sovereignty. A second call of €85.5 million will target open strategic autonomy in emerging digital technologies and raw materials.

The funding is open to businesses, academic institutions, public administrations, and other entities from EU member states and partner countries. Priority areas include next-generation AI agents, industrial and service robotics, and new materials with enhanced sensing capabilities.

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