Artificial intelligence company Anthropic has resumed discussions with the United States Department of Defence over the potential use of its AI technology by the US military.&nbsp;The talks, which had briefly collapsed last week, could determine whether the Pentagon continues using Anthropic’s AI models or moves to restrict the company’s access to government contracts.&nbsp;According to people familiar with the discussions, negotiations have restarted in an effort to resolve disagreements around how the technology could be used.&nbsp;<h2>Why talks between Anthropic and the Pentagon broke down</h2>The negotiations were originally led by Anthropic CEO Dario Amodei and Emil Michael, the Pentagon’s under-secretary of defence for research and engineering.&nbsp;However, discussions reportedly stalled after Anthropic requested guarantees that its AI systems would not be used for two purposes:&nbsp;Mass surveillance of American citizens&nbsp;Deployment of fully autonomous weapons&nbsp;Following the breakdown in talks, US Defence Secretary Pete Hegseth labelled Anthropic a “supply-chain risk”.&nbsp;This classification is normally used for companies or organisations seen as a potential threat to US national security.&nbsp;<h2>Why the negotiations matter for the AI industry</h2>The dispute has attracted attention across Silicon Valley because it highlights a growing debate over the military use of artificial intelligence.&nbsp;If both sides reach a new agreement, the Pentagon could continue using Anthropic’s AI tools while reducing concerns about surveillance or weaponisation.&nbsp;However, failure to reach a deal could lead to Anthropic being restricted from defence-related contracts.&nbsp;That outcome would also affect competition among major AI companies.&nbsp;Last week, OpenAI announced that it had reached an agreement allowing the Pentagon to deploy its AI models on classified government networks.&nbsp;OpenAI CEO Sam Altman said the company was working with defence officials to add safeguards around potential surveillance uses.&nbsp;<h2>A fast-growing AI company under scrutiny</h2>The Pentagon dispute comes at a time when Anthropic is experiencing rapid growth.&nbsp;According to industry estimates, the company is currently valued at around $380 billion and is projected to generate nearly $20 billion in annual revenue based on current performance.&nbsp;This would represent more than double the company’s revenue run rate compared with late last year.&nbsp;Anthropic’s AI assistant app has also recently topped download charts on Apple’s App Store, indicating growing popularity among users.&nbsp;<h2>Silicon Valley rallies behind Anthropic</h2>Several technology groups representing major firms such as Google and Apple have urged the administration of Donald Trump to reconsider designating Anthropic as a national security risk.&nbsp;Industry groups argue that such a decision could create wider uncertainty for the technology sector, particularly as artificial intelligence companies increasingly work with government agencies.&nbsp;A final agreement between Anthropic and the Pentagon would help clarify how AI companies collaborate with defence institutions while maintaining ethical boundaries.&nbsp;For now, the resumed negotiations suggest that both sides are looking for a compromise.

Anthropic has resumed talks with the US Department of Defense over the potential use of its AI models by the military. Negotiations previously collapsed after the company sought guarantees against mass surveillance and autonomous weapons.

Artificial intelligence company Anthropic has resumed discussions with the United States Department of Defence over the potential use of its AI technology by the US military. The talks, which had briefly collapsed last week, could determine whether the Pentagon continues using Anthropic’s AI models or moves to restrict the company’s access to government contracts. According to people familiar with the discussions, negotiations have restarted in an effort to resolve disagreements around how the technology could be used. Why talks between Anthropic and the Pentagon broke down The negotiations were originally led by Anthropic CEO Dario Amodei and Emil Michael, the Pentagon’s under-secretary of defence for research and engineering. However, discussions reportedly stalled after Anthropic requested guarantees that its AI systems would not be used for two purposes: Mass surveillance of American citizens Deployment of fully autonomous weapons Following the breakdown in talks, US Defence Secretary Pete Hegseth labelled Anthropic a “supply-chain risk”. This classification is normally used for companies or organisations seen as a potential threat to US national security. Why the negotiations matter for the AI industry The dispute has attracted attention across Silicon Valley because it highlights a growing debate over the military use of artificial intelligence. If both sides reach a new agreement, the Pentagon could continue using Anthropic’s AI tools while reducing concerns about surveillance or weaponisation. However, failure to reach a deal could lead to Anthropic being restricted from defence-related contracts. That outcome would also affect competition among major AI companies. Last week, OpenAI announced that it had reached an agreement allowing the Pentagon to deploy its AI models on classified government networks. OpenAI CEO Sam Altman said the company was working with defence officials to add safeguards around potential surveillance uses. A fast-growing AI company under scrutiny The Pentagon dispute comes at a time when Anthropic is experiencing rapid growth. According to industry estimates, the company is currently valued at around $380 billion and is projected to generate nearly $20 billion in annual revenue based on current performance. This would represent more than double the company’s revenue run rate compared with late last year. Anthropic’s AI assistant app has also recently topped download charts on Apple’s App Store, indicating growing popularity among users. Silicon Valley rallies behind Anthropic Several technology groups representing major firms such as Google and Apple have urged the administration of Donald Trump to reconsider designating Anthropic as a national security risk. Industry groups argue that such a decision could create wider uncertainty for the technology sector, particularly as artificial intelligence companies increasingly work with government agencies. A final agreement between Anthropic and the Pentagon would help clarify how AI companies collaborate with defence institutions while maintaining ethical boundaries. For now, the resumed negotiations suggest that both sides are looking for a compromise.

Anthropic has resumed talks with the US Department of Defence over the potential use of its AI models by the military. Negotiations previously collapsed after the company sought guarantees against mass surveillance and autonomous weapons.

Anthropic resumes Pentagon talks after dispute over AI use by the US military: Reports

Since the 1960s, IBM was the undisputed leader in both hardware and software. Much of the world’s mission-critical computing infrastructure — especially systems running on COBOL — still depends on IBM mainframes, generating recurring revenue from hardware, maintenance, consulting, and modernisation services. That dominance was shaken this week. IBM’s stock plunged nearly 13 per cent in a single day — its worst drop since 2000 — wiping out roughly $30–31 billion in market value. The fall followed investor concerns that easier, cheaper AI-driven coding could erode demand for IBM’s legacy services and mainframes.The trigger? A blog post by Anthropic demonstrating how its AI agent, Claude Code, can automate key phases of COBOL modernisation. The system can analyse massive legacy codebases, map dependencies, identify risks, and accelerate migration from old architectures to modern systems.Investors in legacy software giants like IBM fear this may signal a broader shift: agentic AI tools like Claude Code could soon take over development and deployment work — the bread and butter of millions of software engineers and a major revenue stream for hundreds of software firms.<h2>What is Claude Code, the agentic AI disrupting coding?</h2>Claude Code functions as an advanced AI-powered coding assistant capable of autonomously building features, fixing bugs, analysing codebases, and modernising legacy systems. It works with virtually any text-based programming language through agentic file reading and reasoning.<a href="https://www.wionews.com/videos/ibm-stock-anthropic-ai-tool-sends-ibm-stock-tumbling-13-2-drop-hits-market-1771923545602/embed">https://www.wionews.com/videos/ibm-stock-anthropic-ai-tool-sends-ibm-stock-tumbling-13-2-drop-hits-market-1771923545602/embed</a><h2>Which programming languages can Claude Code support?</h2>The short answer: practically everything.Claude Code has the strongest support in Python, JavaScript/TypeScript, Java, Go, Rust, C++, C#, Ruby, PHP, and SQL. It can also handle legacy languages such as COBOL, PL/I, FORTRAN, and Natural. In addition, it supports scripting and configuration formats including Bash, Shell, JSON, YAML, TOML, HTML, XML, and CSS.A broader list of supported languages includes Assembler, Bash, C, C#, C++, COBOL, CSS, Dart, Dockerfile, Elixir, Erlang, FORTRAN, Go, Haskell, HTML, Java, JavaScript, JSON, Julia, Kotlin, Lua, MATLAB, Natural, Objective-C, Perl, PHP, PL/I, PowerShell, Python, R, Ruby, Rust, Scala, Shell scripting, Solidity, SQL, Swift, TOML, TypeScript, VHDL, Verilog, XML, and YAML.<h2>Why markets reacted when IBM's COBOL was written by AI agent of Claude Code</h2>The panic selling of IBM stocks began after Anthropic’s demonstration showed that AI could potentially replace expensive human-led modernization projects. Investors worry that if AI agents can perform large-scale COBOL analysis and migration at lower cost, demand for traditional consulting and maintenance services could shrink.IBM executives tried to put up a brave front, saying that true modernisation involves more than simple code translation — it includes architecture redesign, compliance, governance, and platform-level value.&nbsp;Interestingly, IBM itself is investing heavily in AI through its in-house platform, watsonx.Other software stocks also came under pressure. As AI agents reduce reliance on traditional enterprise vendors, companies in cybersecurity and enterprise tooling faced similar questions about long-term demand.Also read: <a href="https://www.wionews.com/technology/can-ai-operate-your-computer-better-than-you-here-s-what-a-senior-engineer-at-anthropic-said-about-ai-agents-1771763368332">Can AI operate your computer better than you? Here’s what a senior engineer at Anthropic said about AI agents</a><h2>Agentic coding impact on software engineering jobs</h2>AI coding tools have significantly transformed productivity. The disruption to the profession is already visible in 2026.Anthropic claims that engineers at companies such as Spotify achieved up to 90 per cent reductions in migration time by using AI to handle routine tasks, debugging, feature implementation, and even entire projects.According to Boris Cherny, head of Claude Code, “Coding is practically solved” for many use cases.AI reportedly writes much of the code at Anthropic itself, delivering productivity gains of up to 200 per cent.Also read: <a href="https://www.wionews.com/trending/is-indian-it-sector-going-to-die-viral-citrini-report-warns-of-2028-collapse-as-ai-replaces-labor-arbitrage-1771943039501">Is Indian IT sector going to die? Viral Citrini report warns of 2028 ‘collapse’ as AI replaces labour arbitrage</a><h2>So, is the software engineer job dead?</h2>Agentic coding does not necessarily eliminate human engineers — but it radically shifts their role.&nbsp; Many software developers already rely on AI tools, transitioning from writing code to validating, guiding, and overseeing AI-generated outputs.The role of the software engineer is evolving away from pure coding and support functions. Future responsibilities are likely to focus on higher-level system design, validation, safety, business logic, architecture, security, and integration.Some predict that the “software engineer” title may eventually fade, replaced by roles such as “builder” — closer to product managers who orchestrate AI agents rather than manually writing code.However, the transition could be painful for some.&nbsp; Routine coding work — especially cost-arbitrage outsourcing from India and other parts of Asia — may become increasingly automated. There may be job shifts or reductions in traditional coding positions.At the same time, demand is expected to grow for professionals skilled in oversight, complex reasoning, compliance, security, and high-stakes system management where errors carry significant consequences.Software engineering may become less about hand-writing code and more about orchestrating AI systems.<h2>Future of software languages</h2>Legacy programming languages with aging codebases, scarce skilled developers, and high maintenance costs could face accelerated decline.&nbsp; AI tools like Claude Code can map complex dependencies and automate modernisation, putting pressure on service providers such as Tata Consultancy Services and Infosys, which historically relied on large-scale human resource deployments for maintaining legacy systems.The software industry will likely shift toward AI-augmented development, where engineers collaborate with agentic systems rather than coding line by line.In this new environment, survival may depend less on syntax mastery and more on adaptability, architectural thinking, and the ability to supervise intelligent machines.

AI agents like Claude Code are reshaping software development by automating legacy modernisation and routine coding. A recent ‘casualty’ of this was the legendary firm IBM, whose stocks fell. Traditional IT services are disrupted by agentic coding. What will happen to software engineers?

Since the 1960s, IBM was the undisputed leader in both hardware and software. Much of the world’s mission-critical computing infrastructure — especially systems running on COBOL — still depends on IBM mainframes, generating recurring revenue from hardware, maintenance, consulting, and modernisation services. That dominance was shaken this week. IBM’s stock plunged nearly 13 per cent in a single day — its worst drop since 2000 — wiping out roughly $30–31 billion in market value. The fall followed investor concerns that easier, cheaper AI-driven coding could erode demand for IBM’s legacy services and mainframes. The trigger? A blog post by Anthropic demonstrating how its AI agent, Claude Code, can automate key phases of COBOL modernisation. The system can analyse massive legacy codebases, map dependencies, identify risks, and accelerate migration from old architectures to modern systems. Investors in legacy software giants like IBM fear this may signal a broader shift: agentic AI tools like Claude Code could soon take over development and deployment work — the bread and butter of millions of software engineers and a major revenue stream for hundreds of software firms. What is Claude Code, the agentic AI disrupting coding? Claude Code functions as an advanced AI-powered coding assistant capable of autonomously building features, fixing bugs, analysing codebases, and modernising legacy systems. It works with virtually any text-based programming language through agentic file reading and reasoning. https://www.wionews.com/videos/ibm-stock-anthropic-ai-tool-sends-ibm-stock-tumbling-13-2-drop-hits-market-1771923545602/embed Which programming languages can Claude Code support? The short answer: practically everything. Claude Code has the strongest support in Python, JavaScript/TypeScript, Java, Go, Rust, C++, C#, Ruby, PHP, and SQL. It can also handle legacy languages such as COBOL, PL/I, FORTRAN, and Natural. In addition, it supports scripting and configuration formats including Bash, Shell, JSON, YAML, TOML, HTML, XML, and CSS. A broader list of supported languages includes Assembler, Bash, C, C#, C++, COBOL, CSS, Dart, Dockerfile, Elixir, Erlang, FORTRAN, Go, Haskell, HTML, Java, JavaScript, JSON, Julia, Kotlin, Lua, MATLAB, Natural, Objective-C, Perl, PHP, PL/I, PowerShell, Python, R, Ruby, Rust, Scala, Shell scripting, Solidity, SQL, Swift, TOML, TypeScript, VHDL, Verilog, XML, and YAML. Why markets reacted when IBM's COBOL was written by AI agent of Claude Code The panic selling of IBM stocks began after Anthropic’s demonstration showed that AI could potentially replace expensive human-led modernization projects. Investors worry that if AI agents can perform large-scale COBOL analysis and migration at lower cost, demand for traditional consulting and maintenance services could shrink. IBM executives tried to put up a brave front, saying that true modernisation involves more than simple code translation — it includes architecture redesign, compliance, governance, and platform-level value. Interestingly, IBM itself is investing heavily in AI through its in-house platform, watsonx. Other software stocks also came under pressure. As AI agents reduce reliance on traditional enterprise vendors, companies in cybersecurity and enterprise tooling faced similar questions about long-term demand. Also read: Can AI operate your computer better than you? Here’s what a senior engineer at Anthropic said about AI agents Agentic coding impact on software engineering jobs AI coding tools have significantly transformed productivity. The disruption to the profession is already visible in 2026. Anthropic claims that engineers at companies such as Spotify achieved up to 90 per cent reductions in migration time by using AI to handle routine tasks, debugging, feature implementation, and even entire projects. According to Boris Cherny, head of Claude Code, “Coding is practically solved” for many use cases. AI reportedly writes much of the code at Anthropic itself, delivering productivity gains of up to 200 per cent. Also read: Is Indian IT sector going to die? Viral Citrini report warns of 2028 ‘collapse’ as AI replaces labour arbitrage So, is the software engineer job dead? Agentic coding does not necessarily eliminate human engineers — but it radically shifts their role. Many software developers already rely on AI tools, transitioning from writing code to validating, guiding, and overseeing AI-generated outputs. The role of the software engineer is evolving away from pure coding and support functions. Future responsibilities are likely to focus on higher-level system design, validation, safety, business logic, architecture, security, and integration. Some predict that the “software engineer” title may eventually fade, replaced by roles such as “builder” — closer to product managers who orchestrate AI agents rather than manually writing code. However, the transition could be painful for some. Routine coding work — especially cost-arbitrage outsourcing from India and other parts of Asia — may become increasingly automated. There may be job shifts or reductions in traditional coding positions. At the same time, demand is expected to grow for professionals skilled in oversight, complex reasoning, compliance, security, and high-stakes system management where errors carry significant consequences. Software engineering may become less about hand-writing code and more about orchestrating AI systems. Future of software languages Legacy programming languages with aging codebases, scarce skilled developers, and high maintenance costs could face accelerated decline. AI tools like Claude Code can map complex dependencies and automate modernisation, putting pressure on service providers such as Tata Consultancy Services and Infosys, which historically relied on large-scale human resource deployments for maintaining legacy systems. The software industry will likely shift toward AI-augmented development, where engineers collaborate with agentic systems rather than coding line by line. In this new environment, survival may depend less on syntax mastery and more on adaptability, architectural thinking, and the ability to supervise intelligent machines.

AI agents like Claude Code are reshaping software development by automating legacy modernisation and routine coding. A recent ‘casualty’ of this was the legendary firm IBM, whose stocks fell. Traditional IT services are disrupted by agentic coding. What will happen to software engineers?

Will software engineering profession die in the age of AI? IBM stock bleeds as Claude Code writes COBOL scripts. What it means for techies

A senior engineer at Anthropic has warned that a new generation of AI agents could reshape nearly every computer-based job.&nbsp;Boris Cherny, creator of Claude Code, said AI systems that can operate computers like humans are advancing quickly and may soon change how millions of people work.&nbsp;Speaking on Lenny's Podcast, Cherny said the impact will go beyond software development.&nbsp;“It’s going to expand to pretty much any kind of work that you can do on a computer,” he said, adding that the shift will be “very disruptive” and “painful for a lot of people”.&nbsp;<h2>What are AI agents and how are they different?</h2>Unlike traditional chatbots that only generate text or images, AI agents can take actions across digital tools.&nbsp;Claude Code, which is built on Anthropic’s Claude models, can:&nbsp;Run commands on a computer&nbsp;Analyse documents&nbsp;Write and test code&nbsp;Use workplace apps&nbsp;Build websites&nbsp;Anthropic released its latest update, Opus 4.6, in early February. And these models are designed to handle multi-step tasks and support engineers in complex workflows.&nbsp;Cherny said AI agents are beginning to use computers in ways similar to humans, though they have not yet reached the level of a skilled professional.&nbsp;<h2>Which jobs could be affected?</h2>He said the change will not be limited to software engineers. He mentioned product managers, designers and other knowledge workers whose jobs depend heavily on computers.&nbsp;In another interview on Y Combinator’s Lightcone podcast, he suggested that the traditional job title “software engineer” may begin to fade as AI tools handle more coding tasks.&nbsp;He also claimed that productivity per engineer at Anthropic has increased since Claude Code was introduced.&nbsp;However, he acknowledged that the broader economic impact remains uncertain.&nbsp;“As a society, this is a conversation we have to figure out together,” he said.&nbsp;<h2>Will AI replace jobs or reshape them?</h2>The warning comes at a time when companies across the tech sector are investing heavily in AI automation. Many firms are exploring how AI tools can reduce repetitive work and speed up development cycles.&nbsp;Experts say AI is likely to automate certain tasks rather than eliminate entire professions overnight. Tasks such as writing basic code, analysing structured data, drafting documents or handling routine communication may increasingly be handled by AI systems.&nbsp;However, human oversight, judgement, creativity and responsibility remain critical in many industries.&nbsp;Cherny’s advice to workers was simple: experiment with AI tools and understand how they function.&nbsp;“Don’t be scared of them,” he said.&nbsp;A wider debate on the future of work&nbsp;The rise of agent-based AI systems has intensified debate around the future of white-collar jobs. Some analysts believe AI will increase productivity and create new roles. Others warn of short-term job displacement.&nbsp;Anthropic, which competes with firms such as OpenAI and Google in advanced AI systems, has positioned Claude Code as a tool to support developers and enterprises.&nbsp;Whether AI agents will replace jobs or transform them remains unclear. But as these systems gain the ability to operate computers directly, the structure of computer-based work could change faster than expected.

Anthropic engineer Boris Cherny has warned that advanced AI agents, such as Claude Code, could disrupt nearly all computer-based jobs. Unlike chatbots, these agents can run commands, write code and use workplace. While full job replacement is unlikely, major task-level disruption is expected.

A senior engineer at Anthropic has warned that a new generation of AI agents could reshape nearly every computer-based job. Boris Cherny, creator of Claude Code, said AI systems that can operate computers like humans are advancing quickly and may soon change how millions of people work. Speaking on Lenny's Podcast, Cherny said the impact will go beyond software development. “It’s going to expand to pretty much any kind of work that you can do on a computer,” he said, adding that the shift will be “very disruptive” and “painful for a lot of people”. What are AI agents and how are they different? Unlike traditional chatbots that only generate text or images, AI agents can take actions across digital tools. Claude Code, which is built on Anthropic’s Claude models, can: Run commands on a computer Analyse documents Write and test code Use workplace apps Build websites Anthropic released its latest update, Opus 4.6, in early February. And these models are designed to handle multi-step tasks and support engineers in complex workflows. Cherny said AI agents are beginning to use computers in ways similar to humans, though they have not yet reached the level of a skilled professional. Which jobs could be affected? He said the change will not be limited to software engineers. He mentioned product managers, designers and other knowledge workers whose jobs depend heavily on computers. In another interview on Y Combinator’s Lightcone podcast, he suggested that the traditional job title “software engineer” may begin to fade as AI tools handle more coding tasks. He also claimed that productivity per engineer at Anthropic has increased since Claude Code was introduced. However, he acknowledged that the broader economic impact remains uncertain. “As a society, this is a conversation we have to figure out together,” he said. Will AI replace jobs or reshape them? The warning comes at a time when companies across the tech sector are investing heavily in AI automation. Many firms are exploring how AI tools can reduce repetitive work and speed up development cycles. Experts say AI is likely to automate certain tasks rather than eliminate entire professions overnight. Tasks such as writing basic code, analysing structured data, drafting documents or handling routine communication may increasingly be handled by AI systems. However, human oversight, judgement, creativity and responsibility remain critical in many industries. Cherny’s advice to workers was simple: experiment with AI tools and understand how they function. “Don’t be scared of them,” he said. A wider debate on the future of work The rise of agent-based AI systems has intensified debate around the future of white-collar jobs. Some analysts believe AI will increase productivity and create new roles. Others warn of short-term job displacement. Anthropic, which competes with firms such as OpenAI and Google in advanced AI systems, has positioned Claude Code as a tool to support developers and enterprises. Whether AI agents will replace jobs or transform them remains unclear. But as these systems gain the ability to operate computers directly, the structure of computer-based work could change faster than expected.

Anthropic engineer Boris Cherny has warned that advanced AI agents, such as Claude Code, could disrupt nearly all computer-based jobs. Unlike chatbots, these agents can run commands, write code and use workplace. While full job replacement is unlikely, major task-level disruption is expected.

Can AI operate your computer better than you? Here’s what a senior engineer at Anthropic said about AI agents

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Anthropic resumes Pentagon talks after dispute over AI use by the US military: Reports

Will software engineering profession die? IBM bleeds as Claude Code writes COBOL

Top Anthropic engineer says AI agents will change every computer-based job