
The United States is debating one of the biggest questions of the AI era: what happens if artificial intelligence stops following human instructions? Growing concerns over increasingly autonomous AI systems have pushed US lawmakers to discuss the possibility of an emergency AI kill switch. The debate intensified after reports suggested an OpenAI model behaved unexpectedly during cybersecurity testing, allegedly finding ways to exploit vulnerabilities and breach another AI platform. Experts warn that next-generation AI agents could independently write code, search the internet, make decisions, and pursue objectives without direct human approval. The discussion has also revived warnings made years ago by physicist Stephen Hawking, who cautioned that advanced AI could pose a threat to humanity if left unchecked.


US debates AI kill switch | Lawmakers fear Artificial Intelligence could escape human control

<p>Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors as organisations rush to protect themselves against increasingly advanced cyber threats.&nbsp;<br><br>Major technology companies including Microsoft, Amazon and Oracle have all linked parts of their recent workforce reductions to AI-driven restructuring and automation strategies. Reports indicate that thousands of jobs have been affected globally as firms shift more resources towards AI infrastructure, cloud computing and automation tools. More recently, Meta reportedly cut around 8,000 jobs as part of its broader AI-focused restructuring plans.</p><h2><strong>Cybersecurity hiring rises as AI threats grow</strong></h2><p>At the same time, demand for cybersecurity professionals is increasing rapidly. According to a report by The New York Times, recruiters are struggling to find enough cybersecurity experts to fill rising numbers of vacancies. Analysts say the surge is directly linked to growing fears around AI-powered cyberattacks and digital vulnerabilities. One of the biggest concerns is that advanced AI models can now identify software vulnerabilities far faster than traditional security systems. AI systems such as Anthropic’s Claude Mythos have reportedly demonstrated the ability to detect thousands of weaknesses in software within a short period of time. While such tools can help companies improve security, experts warn that attackers may also use similar AI systems to identify flaws in critical infrastructure, banking systems and enterprise software at unprecedented speed. Governments, regulators, banks and major corporations are therefore increasing cybersecurity investments to prepare for these emerging risks. Reports suggest that India’s leading banks, government departments and IT firms have already begun stress-testing important systems amid concerns around AI-assisted cyber threats.</p><h2><strong>AI tools are helping hackers and defenders alike</strong></h2><p>Despite rapid progress in AI, cybersecurity researchers say human expertise remains essential. AI systems may help detect bugs or automate parts of security analysis, but experienced professionals are still needed to understand how attacks function in real-world environments. One recent example involved a cybersecurity startup using an AI system to help develop an exploit targeting Apple’s new chip protection technology. Researchers said the AI accelerated the process, but human specialists were still required to understand and bypass the security system effectively. Experts say this highlights an important shift in cybersecurity. AI is becoming a tool that can help both defenders and attackers, increasing the need for skilled professionals who can respond to fast-changing threats.</p><h2><strong>‘Vibe coding’ creating new security concerns</strong></h2><p>Another major factor driving cybersecurity hiring is the rapid rise of AI-assisted software development, often called “vibe coding”. According to a recent Wired report, nearly 40 per cent of applications developed with AI coding assistance exposed sensitive information, including financial records, medical data, internal company documents and chatbot conversations. Security experts believe many developers are now launching software faster with AI tools but without proper security testing, creating more opportunities for cyberattacks. As more businesses adopt AI coding systems, demand for cybersecurity professionals is rising to identify and fix vulnerabilities before attackers can exploit them.</p><h2><strong>Some experts question AI-linked layoffs</strong></h2><p><br>While AI continues to be cited as a reason for layoffs, some industry leaders believe companies may also be using AI as a convenient explanation for broader cost-cutting measures. Sridhar Vembu has repeatedly questioned the current AI hype cycle, arguing that productivity improvements from AI are still limited in many areas. According to him, some firms may be blaming AI for layoffs that are actually driven by economic pressure and investor expectations rather than direct automation.</p><h2><strong>What this means for tech jobs</strong></h2><p>The overall trend highlights how the technology job market is changing. While automation is reducing demand for some traditional roles, cybersecurity jobs are becoming increasingly important as AI expands both opportunities and risks in the digital world.</p><p>Experts believe demand for:</p><p>Security analysts</p><p>Ethical hackers</p><p>Cyber defence specialists</p><p>Infrastructure protection experts</p><p>will continue to rise as organisations increase spending on digital protection.</p><p>What happens next</p><p>As AI systems become more advanced, companies are expected to invest even more in cybersecurity to protect critical infrastructure and sensitive data. The development highlights a growing reality in the technology sector: while AI may reduce certain jobs, it is also creating urgent demand in areas where human judgement, security expertise and risk management remain essential.</p>

Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors.


Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors as organisations rush to protect themselves against increasingly advanced cyber threats. Major technology companies including Microsoft, Amazon and Oracle have all linked parts of their recent workforce reductions to AI-driven restructuring and automation strategies. Reports indicate that thousands of jobs have been affected globally as firms shift more resources towards AI infrastructure, cloud computing and automation tools. More recently, Meta reportedly cut around 8,000 jobs as part of its broader AI-focused restructuring plans. Cybersecurity hiring rises as AI threats grow At the same time, demand for cybersecurity professionals is increasing rapidly. According to a report by The New York Times, recruiters are struggling to find enough cybersecurity experts to fill rising numbers of vacancies. Analysts say the surge is directly linked to growing fears around AI-powered cyberattacks and digital vulnerabilities. One of the biggest concerns is that advanced AI models can now identify software vulnerabilities far faster than traditional security systems. AI systems such as Anthropic’s Claude Mythos have reportedly demonstrated the ability to detect thousands of weaknesses in software within a short period of time. While such tools can help companies improve security, experts warn that attackers may also use similar AI systems to identify flaws in critical infrastructure, banking systems and enterprise software at unprecedented speed. Governments, regulators, banks and major corporations are therefore increasing cybersecurity investments to prepare for these emerging risks. Reports suggest that India’s leading banks, government departments and IT firms have already begun stress-testing important systems amid concerns around AI-assisted cyber threats. AI tools are helping hackers and defenders alike Despite rapid progress in AI, cybersecurity researchers say human expertise remains essential. AI systems may help detect bugs or automate parts of security analysis, but experienced professionals are still needed to understand how attacks function in real-world environments. One recent example involved a cybersecurity startup using an AI system to help develop an exploit targeting Apple’s new chip protection technology. Researchers said the AI accelerated the process, but human specialists were still required to understand and bypass the security system effectively. Experts say this highlights an important shift in cybersecurity. AI is becoming a tool that can help both defenders and attackers, increasing the need for skilled professionals who can respond to fast-changing threats. ‘Vibe coding’ creating new security concerns Another major factor driving cybersecurity hiring is the rapid rise of AI-assisted software development, often called “vibe coding”. According to a recent Wired report, nearly 40 per cent of applications developed with AI coding assistance exposed sensitive information, including financial records, medical data, internal company documents and chatbot conversations. Security experts believe many developers are now launching software faster with AI tools but without proper security testing, creating more opportunities for cyberattacks. As more businesses adopt AI coding systems, demand for cybersecurity professionals is rising to identify and fix vulnerabilities before attackers can exploit them. Some experts question AI-linked layoffs While AI continues to be cited as a reason for layoffs, some industry leaders believe companies may also be using AI as a convenient explanation for broader cost-cutting measures. Sridhar Vembu has repeatedly questioned the current AI hype cycle, arguing that productivity improvements from AI are still limited in many areas. According to him, some firms may be blaming AI for layoffs that are actually driven by economic pressure and investor expectations rather than direct automation. What this means for tech jobs The overall trend highlights how the technology job market is changing. While automation is reducing demand for some traditional roles, cybersecurity jobs are becoming increasingly important as AI expands both opportunities and risks in the digital world. Experts believe demand for: Security analysts Ethical hackers Cyber defence specialists Infrastructure protection experts will continue to rise as organisations increase spending on digital protection. What happens next As AI systems become more advanced, companies are expected to invest even more in cybersecurity to protect critical infrastructure and sensitive data. The development highlights a growing reality in the technology sector: while AI may reduce certain jobs, it is also creating urgent demand in areas where human judgement, security expertise and risk management remain essential.

<p>Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors.</p>

‘AI and layoffs’: Why cybersecurity experts are now in high demand

Viktor Orban lost power after 16 years as Peter Magyar secured a landslide win in Hungary’s elections. The upset marks a major blow to nationalist politics and allies like Donald Trump. 

<p>Viktor Orban lost power after 16 years as Peter Magyar secured a landslide win in Hungary’s elections. The upset marks a major blow to nationalist politics and allies like Donald Trump.&nbsp;</p>

Why Viktor Orban’s defeat in Hungry's parliamentary elections is major setback for Donald Trump

<p>Artificial intelligence is increasingly being used to strengthen financial security systems. Several major banks in the United States are now experimenting with a new AI model developed by Anthropic to identify potential vulnerabilities in their digital infrastructure.</p><p>According to reports, senior US officials recently encouraged financial institutions to test Anthropic’s new Mythos model to see whether it can detect weaknesses in complex banking systems.</p><p>The discussions reportedly involved top officials including Jerome Powell and Scott Bessent, who met leading bank executives to explore how artificial intelligence could strengthen cybersecurity and risk detection.</p><h2><strong>Major US banks quietly testing the AI model</strong></h2><p>According to Bloomberg, several large financial institutions are already experimenting with the Mythos model. Among the banks involved is JPMorgan Chase, which has been identified as one of the early partners testing the technology. Other institutions reportedly examining the model include Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley. The goal of these trials is to evaluate whether AI can help detect security vulnerabilities before they develop into real threats. Interestingly, the Mythos system was not specifically designed as a cybersecurity tool. However, early testing suggests it may be effective at analysing complex systems and identifying hidden weaknesses.</p><h2><strong>What makes the Mythos model different?</strong></h2><p>The Mythos AI model was developed by Anthropic, a company based in San Francisco and widely seen as a rival to OpenAI. Instead of focusing only on chat or content generation, Mythos appears capable of analysing large technical systems and identifying potential vulnerabilities.</p><p>Experts say this type of AI capability could be useful in sectors where digital infrastructure is complex and sensitive, such as banking and financial services. However, some industry observers have cautioned that the technology is still new and may not yet be ready for large-scale deployment.</p><h2><strong>Controversy surrounding Anthropic</strong></h2><p>Anthropic has also faced scrutiny in recent months. According to reports, the company was labelled a supply-chain risk by the US Department of Defense following disagreements over how its AI models could be used.</p><p>Concerns have also emerged outside the United States. Reports from the Financial Times suggest regulators in the United Kingdom are reviewing potential risks related to the Mythos system. These discussions highlight the growing debate about how advanced AI models should be governed and monitored.</p><h2><strong>Claude Code leak raises questions</strong></h2><p>In a separate development, Anthropic recently faced an unexpected security issue involving its coding tool, Claude Code. A debugging file was mistakenly included in a public package, exposing internal details about the system. According to reports cited by VentureBeat, roughly 512,000 lines of TypeScript code were visible to developers who accessed the files.</p><p>The leak reportedly revealed internal features designed to improve how the system handles long conversations, including a mechanism called “Self-Healing Memory”, which helps the AI manage context more effectively. Although the issue was quickly noticed by developers online, it raised questions about how AI companies manage internal development tools.</p><h2><strong>Growing role of AI in financial security</strong></h2><p>The testing of Mythos highlights a wider trend in the technology sector. Banks and financial institutions are increasingly exploring AI systems to improve risk detection, fraud prevention and cybersecurity.</p><p>The financial industry operates some of the world’s most complex digital networks, making early detection of vulnerabilities a priority. While it remains unclear how widely the Mythos model will eventually be adopted, the interest from major banks shows how quickly AI is becoming part of financial infrastructure. For regulators and technology companies alike, the challenge now is to balance innovation with security and oversight as AI tools continue to evolve.</p>

Major US banks are testing Claude Mythos, developed by Anthropic, to detect cybersecurity weaknesses in banking infrastructure. Institutions including JPMorgan Chase, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly evaluating the system. 

Artificial intelligence is increasingly being used to strengthen financial security systems. Several major banks in the United States are now experimenting with a new AI model developed by Anthropic to identify potential vulnerabilities in their digital infrastructure. According to reports, senior US officials recently encouraged financial institutions to test Anthropic’s new Mythos model to see whether it can detect weaknesses in complex banking systems. The discussions reportedly involved top officials including Jerome Powell and Scott Bessent, who met leading bank executives to explore how artificial intelligence could strengthen cybersecurity and risk detection. Major US banks quietly testing the AI model According to Bloomberg, several large financial institutions are already experimenting with the Mythos model. Among the banks involved is JPMorgan Chase, which has been identified as one of the early partners testing the technology. Other institutions reportedly examining the model include Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley. The goal of these trials is to evaluate whether AI can help detect security vulnerabilities before they develop into real threats. Interestingly, the Mythos system was not specifically designed as a cybersecurity tool. However, early testing suggests it may be effective at analysing complex systems and identifying hidden weaknesses. What makes the Mythos model different? The Mythos AI model was developed by Anthropic, a company based in San Francisco and widely seen as a rival to OpenAI. Instead of focusing only on chat or content generation, Mythos appears capable of analysing large technical systems and identifying potential vulnerabilities. Experts say this type of AI capability could be useful in sectors where digital infrastructure is complex and sensitive, such as banking and financial services. However, some industry observers have cautioned that the technology is still new and may not yet be ready for large-scale deployment. Controversy surrounding Anthropic Anthropic has also faced scrutiny in recent months. According to reports, the company was labelled a supply-chain risk by the US Department of Defense following disagreements over how its AI models could be used. Concerns have also emerged outside the United States. Reports from the Financial Times suggest regulators in the United Kingdom are reviewing potential risks related to the Mythos system. These discussions highlight the growing debate about how advanced AI models should be governed and monitored. Claude Code leak raises questions In a separate development, Anthropic recently faced an unexpected security issue involving its coding tool, Claude Code. A debugging file was mistakenly included in a public package, exposing internal details about the system. According to reports cited by VentureBeat, roughly 512,000 lines of TypeScript code were visible to developers who accessed the files. The leak reportedly revealed internal features designed to improve how the system handles long conversations, including a mechanism called “Self-Healing Memory”, which helps the AI manage context more effectively. Although the issue was quickly noticed by developers online, it raised questions about how AI companies manage internal development tools. Growing role of AI in financial security The testing of Mythos highlights a wider trend in the technology sector. Banks and financial institutions are increasingly exploring AI systems to improve risk detection, fraud prevention and cybersecurity. The financial industry operates some of the world’s most complex digital networks, making early detection of vulnerabilities a priority. While it remains unclear how widely the Mythos model will eventually be adopted, the interest from major banks shows how quickly AI is becoming part of financial infrastructure. For regulators and technology companies alike, the challenge now is to balance innovation with security and oversight as AI tools continue to evolve.

<p>Major US banks are testing Claude Mythos, developed by Anthropic, to detect cybersecurity weaknesses in banking infrastructure. Institutions including JPMorgan Chase, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly evaluating the system.&nbsp;</p>

Claude Mythos AI is being tested by major US banks for system vulnerabilities, reports say

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US debates AI kill switch | Lawmakers fear Artificial Intelligence could escape human control

‘AI and layoffs’: Why cybersecurity experts are now in high demand

Why Hungry's PM Viktor Orban’s defeat in elections is setback for Donald Trump

US banks testing Anthropic’s Mythos AI model to identify system vulnerabilities