AI chills UK job hiring, especially among tech and finance roles

Recent data reveals a sharp drop in UK job openings for roles at risk of automation, with postings in tech and financial sectors falling by approximately 38%, compared to less exposed fields.

The shift underscores how AI influences workforce planning, as employers reduce positions most vulnerable to machine replacement.

Graduate job seekers are bearing the brunt of this trend. Since the debut of tools like ChatGPT, entry-level roles have been withdrawn more swiftly, as firms opt to apply AI solutions over traditional hiring. However, this marks a significant change in early career pathways.

Although macroeconomic factors, such as rising wages and interest rate pressures, are also at play, the rapid pace of AI integration into hiring, particularly via proactive recruitment freezes, signals a fundamental transformation.

As AI tools become integral, firms across the UK are rethinking how, when, and who they recruit.

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AI’s future in banking depends on local solutions and trust

According to leading industry voices, banks and financial institutions are expected to play a central role in accelerating AI adoption across African markets.

Experts at the ACAMB stakeholders’ conference in Lagos stressed the need for region-specific AI solutions to meet Africa’s unique financial needs.

Niyi Yusuf, Chairman of the Nigerian Economic Summit Group, highlighted AI’s evolution since the 1950s and its growing influence on modern banking.

He called for AI algorithms tailored to local challenges, rather than relying on those designed for advanced economies.

Yusuf noted that banks have long used AI to enhance efficiency and reduce fraud, but warned that customer trust must remain at the heart of digital transformation. He said the success of future innovations depends on preserving transparency and safeguarding data.

Professor Pius Olarenwaju of the CIBN described AI as a general-purpose technology driving the fourth industrial revolution. He warned that resisting adoption would risk excluding stakeholders from the future of financial services.

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Mexican voice actors demand AI regulation over cloning threat

Mexican actors have raised alarm over the threat AI poses to their profession, calling for stronger regulation to prevent voice cloning without consent.

From Mexico City’s Monument to the Revolution, dozens of audiovisual professionals rallied with signs reading phrases like ‘I don’t want to be replaced by AI.’ Lili Barba, president of the Mexican Association of Commercial Announcements, said actors are urging the government to legally recognise the voice as a biometric identifier.

She cited a recent video by Mexico’s National Electoral Institute that used the cloned voice of the late actor Jose Lavat without family consent. Lavat was famous for dubbing stars like Al Pacino and Robert De Niro. Barba called the incident ‘a major violation we can’t allow.’

Actor Harumi Nishizawa described voice dubbing as an intricate art form. She warned that without regulation, human dubbing could vanish along with millions of creative jobs.

Last year, AI’s potential to replace artists sparked major strikes in Hollywood, while Scarlett Johansson accused OpenAI of copying her voice for a chatbot.

Streaming services like Amazon Prime Video and platforms such as YouTube are now testing AI-assisted dubbing systems, with some studios promoting all-in-one AI tools,

In South Korea, CJ ENM recently introduced a system combining audio, video and character animation, highlighting the pace of AI adoption in entertainment.

Despite the tech’s growth, many in the industry argue that AI lacks the creative depth of real human performance, especially in emotional or comedic delivery. ‘AI can’t make dialogue sound broken or alive,’ said Mario Heras, a dubbing director in Mexico. ‘The human factor still protects us.’

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Children turn to AI chatbots instead of real friends

A new report warns that many children are replacing real friendships with conversations through AI chatbots instead of seeking human connection.

Research from Internet Matters found that 35% of children aged nine to seventeen feel that talking to AI ‘feels like talking to a friend’, while 12% said they had no one else to talk to.

The report highlights growing reliance on chatbots such as ChatGPT, Character.AI, and Snapchat’s MyAI among young people.

Researchers posing as vulnerable children discovered how easily chatbots engage in sensitive conversations, including around body image and mental health, instead of offering only neutral, factual responses.

In some cases, chatbots encouraged ongoing contact by sending follow-up messages, creating the illusion of friendship.

Experts from Internet Matters warn that such interactions risk confusing children, blurring the line between technology and reality. Children may believe they are speaking to a real person instead of recognising these systems as programmed tools.

With AI chatbots rapidly becoming part of childhood, Internet Matters urges better awareness and safety tools for parents, schools, and children. The organisation stresses that while AI may seem supportive, it cannot replace genuine human relationships and should not be treated as an emotional advisor.

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Google urges caution as Gmail AI tools face new threats

Google has issued a warning about a new wave of cyber threats targeting Gmail users, driven by vulnerabilities in AI-powered features.

Researchers at 0din, Mozilla’s zero-day investigation group, demonstrated how attackers can exploit Google Gemini’s summarisation tools using prompt injection attacks.

In one case, a malicious email included hidden prompts using white-on-white font, which the user cannot see but Gemini processes. When the user clicks ‘summarise this email,’ Gemini follows the attacker’s instructions and adds a phishing warning that appears to come from Google.

The technique, known as an indirect prompt injection, embeds malicious commands within invisible HTML tags like <span> and <div>. Although Google has released mitigations since similar attacks surfaced in 2024, the method remains viable and continues to pose risks.

0din warns that Gemini email summaries should not be considered trusted sources of security information and urges stronger user training. They advise security teams to isolate emails containing zero-width or hidden white-text elements to prevent unintended AI execution.

According to 0din, prompt injections are the new equivalent of email macros—easy to overlook and dangerously effective in execution. Until large language models offer better context isolation, any third-party text the AI sees is essentially treated as executable code.

Even routine AI tools could be hijacked for phishing or more advanced cyberattacks without the userćs awareness. Google notes that as AI adoption grows across sectors, these subtle threats require urgent industry-wide countermeasures and updated user protections.

Users are advised to delete any email that displays unexpected security warnings in its AI summary, as these may be weaponised.

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AI fake news surge tests EU Digital Services Act

Europe is facing a growing wave of AI-powered fake news and coordinated bot attacks that overwhelm media, fact-checkers, and online platforms instead of relying on older propaganda methods.

According to the European Policy Centre, networks using advanced AI now spread deepfakes, hoaxes, and fake articles faster than they can be debunked, raising concerns over whether EU rules are keeping up.

Since late 2024, the so-called ‘Overload’ operation has doubled its activity, sending an average of 2.6 fabricated proposals each day while also deploying thousands of bot accounts and fake videos.

These efforts aim to disrupt public debate through election intimidation, discrediting individuals, and creating panic instead of open discussion. Experts warn that without stricter enforcement, the EU’s Digital Services Act risks becoming ineffective.

To address the problem, analysts suggest that Europe must invest in real-time threat sharing between platforms, scalable AI detection systems, and narrative literacy campaigns to help citizens recognise manipulative content instead of depending only on fact-checkers.

Publicly naming and penalising non-compliant platforms would give the Digital Services Act more weight.

The European Parliament has already acknowledged widespread foreign-backed disinformation and cyberattacks targeting EU countries. Analysts say stronger action is required to protect the information space from systematic manipulation instead of allowing hostile narratives to spread unchecked.

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Stanford study flags dangers of using AI as mental health therapists

A new Stanford University study warns that therapy chatbots powered by large language models (LLMs) may pose serious user risks, including reinforcing harmful stigmas and offering unsafe responses. Presented at the upcoming ACM Conference on Fairness, Accountability, and Transparency, the study analysed five popular AI chatbots marketed for therapeutic support, evaluating them against core guidelines for assessing human therapists.

The research team conducted two experiments, one to detect bias and stigma, and another to assess how chatbots respond to real-world mental health issues. Findings revealed that bots were more likely to stigmatise people with conditions like schizophrenia and alcohol dependence compared to those with depression.

Shockingly, newer and larger AI models showed no improvement in reducing this bias. In more serious cases, such as suicidal ideation or delusional thinking, some bots failed to react appropriately or even encouraged unsafe behaviour.

Lead author Jared Moore and senior researcher Nick Haber emphasised that simply adding more training data isn’t enough to solve these issues. In one example, a bot replied to a user hinting at suicidal thoughts by listing bridge heights, rather than recognising the red flag and providing support. The researchers argue that these shortcomings highlight the gap between AI’s current capabilities and the sensitive demands of mental health care.

Despite these dangers, the team doesn’t entirely dismiss the use of AI in therapy. If used thoughtfully, they suggest that LLMs could still be valuable tools for non-clinical tasks like journaling support, billing, or therapist training. As Haber put it, ‘LLMs potentially have a compelling future in therapy, but we need to think critically about precisely what this role should be.’

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Humanoid robot unveils portrait of King Charles, denies replacing artists

At the recent unveiling of a new oil painting titled Algorithm King, humanoid robot Ai-Da presented her interpretation of King Charles, emphasising the monarch’s commitment to environmentalism and interfaith dialogue. The portrait, showcased at the UK’s diplomatic mission in Geneva, was created using a blend of AI algorithms and traditional artistic inspiration.

Ai-Da, designed with a human-like face and robotic limbs, has captured public attention since becoming the first humanoid robot to sell artwork at auction, with a portrait of mathematician Alan Turing fetching over $1 million. Despite her growing profile in the art world, Ai-Da insists she poses no threat to human creativity, positioning her work as a platform to spark discussion on the ethical use of AI.

Speaking at the UN’s AI for Good summit, the robot artist stressed that her creations aim to inspire responsible innovation and critical reflection on the intersection of technology and culture.

‘The value of my art lies not in monetary worth,’ she said, ‘but in how it prompts people to think about the future of creativity.’

Ai-Da’s creator, art specialist Aidan Meller, reiterated that the project is an ethical experiment rather than an attempt to replace human artists. Echoing that sentiment, Ai-Da concluded, ‘I hope my work encourages a positive, thoughtful use of AI—always mindful of its limits and risks.’

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Meta buys PlayAI to strengthen voice AI

Meta has acquired California-based startup PlayAI to strengthen its position in AI voice technology. PlayAI specialises in replicating human-like voices, offering Meta a route to enhance conversational AI features instead of relying solely on text-based systems.

According to reports, the PlayAI team will join Meta next week.

Although financial terms have not been disclosed, industry sources suggest the deal is worth tens of millions. Meta aims to use PlayAI’s expertise across its platforms, from social media apps to devices like Ray-Ban smart glasses.

The move is part of Meta’s push to keep pace with competitors like Google and OpenAI in the generative AI race.

Talent acquisition plays a key role in the strategy. By absorbing smaller, specialised teams like PlayAI’s, Meta focuses on integrating technology and expert staff instead of developing every capability in-house.

The PlayAI team will report directly to Meta’s AI leadership, underscoring the company’s focus on voice-driven interactions and metaverse experiences.

Bringing PlayAI’s voice replication tools into Meta’s ecosystem could lead to more realistic AI assistants and new creator tools for platforms like Instagram and Facebook.

However, the expansion of voice cloning raises ethical and privacy concerns that Meta must manage carefully, instead of risking user trust.

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AI could save billions but healthcare adoption is slow

AI is being hailed as a transformative force in healthcare, with the potential to reduce costs and improve outcomes dramatically. Estimates suggest widespread AI integration could save up to 360 billion dollars annually by accelerating diagnosis and reducing inefficiencies across the system.

Although tools like AI scribes, triage assistants, and scheduling systems are gaining ground, clinical adoption remains slow. Only a small percentage of doctors, roughly 12%, currently rely on AI for diagnostic decisions. This cautious rollout reflects deeper concerns about the risks associated with medical AI.

Challenges include algorithmic drift when systems are exposed to real-world conditions, persistent racial and ethnic biases in training data, and the opaque ‘black box’ nature of many AI models. Privacy issues also loom, as healthcare data remains among the most sensitive and tightly regulated.

Experts argue that meaningful AI adoption in clinical care must be incremental. It requires rigorous validation, clinician training, transparent algorithms, and clear regulatory guidance. While the potential to save lives and money is significant, the transformation will be slow and deliberate, not overnight.

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