Nobel laureate Geoffrey Hinton warned AI could increase unemployment and profits as companies replace workers with machines. Hinton told the Financial Times the effects stem from capitalism, with few becoming richer while many are left behind.
Evidence is already emerging that AI is reducing opportunities at the entry level, particularly for recent college graduates. A New York Fed survey shows companies using AI tend to retrain staff rather than lay them off, though layoffs may rise soon.
Hinton highlighted that jobs performing mundane tasks are most at risk, while skilled professions like healthcare are likely to be safer.
Hinton also dismissed universal basic income proposals, arguing they fail to address human dignity or the value derived from work. He warned AI could be misused, including for bioweapons, and noted some governments take the risks more seriously than others.
Despite the potential threats, Hinton acknowledged the enormous possibilities of AI. He uses OpenAI’s ChatGPT for research and humorously recalls personal anecdotes demonstrating its versatility.
Hinton retired from Google in 2023, citing age and personal priorities rather than concerns over speaking freely about AI’s dangers.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Uber and Chinese startup Momenta will begin robotaxi testing in Munich in 2026, marking their first public deployment in continental Europe. The trials will start with human safety operators, with plans to expand across additional European cities.
Founded in 2016, Momenta is one of China’s leading autonomous vehicle companies, having tested self-driving cars since 2018. The company is already collaborating with automakers such as Mercedes-Benz and BMW to integrate advanced driver assistance systems.
Uber is broadening its global AV network, which already spans 20 partners across mobility, delivery, and freight. In the US, Waymo robotaxis operate via Uber’s app, while international partnerships include WeRide in the Gulf and Wayve in London.
Competition in Europe is intensifying. Baidu from China and Lyft plan to roll out robotaxis in Germany and the UK next year, while Uber has chosen Munich, Germany, as its engineering base and a strong automotive ecosystem.
German regulators must still certify Momenta’s technology and approve geo-fenced operating areas. If successful, Munich will become Momenta’s first European launchpad, building on its Shanghai robotaxi service and global ADAS deployment.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
Sam Altman, X enthusiast and Reddit shareholder, has expressed doubts over whether social media content can still be distinguished from bot activity. His remarks followed an influx of praise for OpenAI Codex on Reddit, where users questioned whether such posts were genuine.
Altman noted that humans are increasingly adopting quirks of AI-generated language, blurring the line between authentic and synthetic speech. He also pointed to factors such as social media optimisation for engagement and astroturfing campaigns, which amplify suspicions of fakery.
The comments follow OpenAI’s backlash over the rollout of GPT-5, which saw Reddit communities shift from celebratory to critical. Altman acknowledged flaws in a Reddit AMA, but the fallout left lasting scepticism and lower enthusiasm among AI users.
Underlying this debate is the wider reality that bots dominate much of the online environment. Imperva estimates that more than half of 2024’s internet traffic was non-human, while X’s own Grok chatbot admitted to hundreds of millions of bots on the platform.
Some observers suggest Altman’s comments may foreshadow an OpenAI-backed social media venture. Whether such a project could avoid the same bot-related challenges remains uncertain, with research suggesting that even bot-only networks eventually create echo chambers of their own.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
Despite the hype surrounding AI, new data suggests corporate adoption of AI is slowing.
A biweekly survey by the US Census Bureau found AI use among firms with over 250 employees dropped from nearly 14 percent in mid-June to under 12 percent in August, marking the largest decline since the survey began in November 2023.
Smaller companies with fewer than four workers saw a slight increase, but mid-sized businesses largely reported flat or falling AI adoption. The findings are worrying for tech investors and CEOs, who have invested heavily in enterprise AI in the hope of boosting productivity and revenue across industries.
So far, up to 95 per cent of companies using AI have not generated new income from the technology.
The decline comes amid underwhelming performance from high-profile AI releases. OpenAI’s GPT-5, expected to revolutionise enterprise AI, underperformed in benchmark tests, while some companies are rehiring human staff after previously reducing headcount based on AI promises.
Analysts warn that AI innovations may have plateaued, leaving enterprise adoption struggling to justify prior investments.
Unless enterprise AI starts delivering measurable results, corporate usage could continue to decline, signalling a potential slowdown in the broader AI-driven growth many had anticipated.
Would you like to learn more aboutAI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Quantum computers could become more efficient with a new quantum router that directs data more quickly within machines. Researchers at Stanford have built the component, which could eventually form the backbone of quantum random access memory (QRAM).
The router utilises superconducting qubits, controlled by electromagnetic pulses, to transmit information to quantum addresses. Unlike classical routers, it can encode addresses in superposition, allowing data to be stored in two places simultaneously.
In tests with three qubits, the router achieved a fidelity of around 95%. If integrated into QRAM, it could unlock new algorithms by placing information into quantum states where locations remain indeterminate.
Experts say the advance could benefit areas such as quantum machine learning and database searches. It may also support future ideas, such as quantum IP addresses, although more reliable designs with larger qubit counts are still required.
The Stanford team acknowledges the device needs refinement to reduce errors. But with further development, the quantum router could be a vital step toward practical QRAM and more powerful quantum computing applications.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
Researchers combine human tissue models with explainable AI to analyse patient data and identify treatments that work best for specific patients. First applied to inflammatory bowel disease, the approach could improve clinical trial success rates and accelerate drug discovery.
REPROCELL, IBM, and the STFC Hartree Centre have developed Pharmacology-AI, a platform uniting tissue models with machine learning. Delivered through the Hartree National Centre for Digital Innovation, it reduces costs, enhances trial design, and enables more targeted therapies.
Unlike tools that seek to replace human expertise, the platform acts as a decision-support system. It helps scientists detect patterns in complex datasets while keeping outputs interpretable for clinical trial use. Developers emphasised usability, ensuring non-technical staff can work with the system.
Human fresh tissue models play a central role, preserving biological complexity and simulating drug effects before trials. However, this generates reliable data that can be paired with AI to identify optimal patient profiles and reduce the risk of costly trial failures.
The project’s success suggests broad applications beyond IBD. With explainable AI and high-quality patient data, Pharmacology-AI could improve outcomes across multiple disease areas, making drug development faster, more efficient, and more precise.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
Stablecoins have become central to the digital economy, with billions in daily transactions and stronger regulatory backing under the GENIUS Act. Yet experts warn that advances in quantum computing could undermine their very foundations.
Elliptic curve and RSA cryptography, widely used in stablecoin systems, are expected to be breakable once ‘Q-Day’ arrives. Quantum-equipped attackers could instantly derive private keys from public addresses, exposing entire networks to theft.
The immutability of blockchains makes upgrading cryptographic schemes especially challenging. Dormant wallets and legacy addresses may prove vulnerable, putting billions of dollars at risk if issuers fail to take action promptly.
Researchers highlight lattice-based and hash-based algorithms as viable ‘quantum-safe’ alternatives. Stablecoins built with crypto-agility, enabling seamless upgrades, will better adapt to new standards and avoid disruptive forks.
Regulators are also moving. NIST is finalising post-quantum cryptographic standards, and new rules will likely be established before 2030. Stablecoins that embed resilience today may set the global benchmark for digital trust in the quantum age.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
The rise of AI puts traditional entry-level roles under pressure, raising concerns that career ladders may no longer function as they once did. Industry leaders, including Anthropic CEO Dario Amodei, warn that AI could replace half of all entry-level jobs as machines operate nonstop.
A venture capital firm, SignalFire, found that hiring for graduates with under one year of experience at major tech firms fell by 50% between 2019 and 2024. The decline has been consistent across business functions, from sales and marketing to engineering and operations.
Analysts argue that while career pathways are being reshaped, the ladder’s bottom rung is disappearing, forcing graduates to acquire skills independently before entering the workforce.
Experts stress that the shift does not mean careers are over for new graduates, but it does signal a more challenging transition. Universities are already adapting by striking partnerships with AI companies, while some economists point out that past technological revolutions took decades to reshape employment.
Yet others warn that unchecked AI could eventually threaten entry-level roles and all levels of work, raising questions about the future stability of corporate structures.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
The United States, Japan, and South Korea held two Trilateral Quantum Cooperation meetings this week in Seoul and Tokyo. Officials and experts from government and industry gathered to discuss securing quantum ecosystems against cyber, physical, and intellectual property threats.
The US State Department stressed that joint efforts will ensure breakthroughs in quantum computing benefit citizens while safeguarding innovation. Officials said cooperation is essential as quantum technologies could reshape industries, global power balances, and economic prosperity.
The President of South Korea, Lee Jae Myung, described the partnership as entering a ‘golden era’, noting that Seoul, Washington, and Tokyo must work together both to address North Korea and to drive technological progress.
The talks come as Paul Dabbar, the former CEO of Bohr Quantum Technology, begins his role as US Deputy Secretary of Commerce. Dabbar brings experience in deploying emerging quantum network technologies to the new trilateral framework.
North Korea has also signalled interest in quantum computing for economic development. Analysts note that quantum’s lower energy demand compared to supercomputers could appeal to a country plagued by chronic power shortages.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
Ransomware groups have evolved into billion-dollar operations targeting critical infrastructure across multiple countries, employing increasingly sophisticated extortion schemes. Between 2020 and 2022, more than 865 documented attacks were recorded across Australia, Canada, New Zealand, and the UK.
Criminals have escalated from simple encryption to double and triple extortion, threatening to leak stolen data as added leverage. Attack vectors include phishing, botnets, and unpatched flaws. Once inside, attackers use stealthy tools to persist and spread.
BlackSuit, formerly known as Conti, led with 141 attacks, followed by LockBit’s 129, according to data from the Australian Institute of Criminology. Ransomware-as-a-Service groups hit higher volumes by splitting developers from affiliates handling breaches and negotiations.
Industrial targets bore the brunt, with 239 attacks on manufacturing and building products. The consumer goods, real estate, financial services, and technology sectors also featured prominently. Analysts note that industrial firms are often pressured into quick ransom payments to restore production.
Experts warn that today’s ransomware combines military-grade encryption with advanced reconnaissance and backup targeting, raising the stakes for defenders. The scale of activity underscores how resilient these groups remain, adapting rapidly to law enforcement crackdowns and shifting market opportunities.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
