AI vs. Developer Jobs: Anthropic Predicts Replacement, IBM Pushes Back | eWeek

AI vs. Developer Jobs: Anthropic Predicts Replacement, IBM Pushes Back

Engineer developing AI on a workstation.

Image: DC_Studio via Envato

Écrit par
Liz Ticong
Liz Ticong
Mar 13, 2025
2 minute read
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Anthropic CEO Dario Amodei predicts AI tools will write 90% of software within six months and completely take over within a year, eliminating junior developer roles. IBM’s Arvind Krishna disagrees, arguing AI will assist and empower developers without taking their jobs.

These opposing views amplify concerns regarding AI’s impact on the entire job market, igniting discussions on how to prepare.

Anthropic vs. IBM: The debate over AI’s role in coding

The Anthropic CEO points to Claude Code and GitHub Copilot as evidence that developers will soon only supervise AI-generated code.

IBM’s CEO argues that artificial intelligence will only handle 20-30% of coding tasks and will complement human programmers rather than replace them. He compares this to past technological advancement that improved efficiency without eliminating jobs.

If Amodei’s prediction holds true, the software industry could face a seismic shift, potentially leading to fewer entry-level coding roles and a surge in demand for AI oversight and architecture specialists. On the other hand, if Krishna is right, programmers will work substantially faster while concentrating on complex development AI software can’t tackle alone.

AI threatens more than just coding jobs

Programming isn’t the only profession facing AI disruption, as data entry positions, translation services, and basic accounting roles are being replaced by automation. These jobs share a common vulnerability: they involve predictable patterns and structured information that current AI models can process at a fraction of human cost.

While workforce fears grow about AI taking jobs, some professions stand on firmer ground through their reliance on distinctly human capabilities. For example, social workers and healthcare workers are still safe from AI because their roles demand emotional intelligence, ethical judgement, and the ability to form meaningful connections, qualities that even advanced AI systems can’t easily replicate.

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Liz Ticong

Liz Ticong is a staff writer for eWeek and TechRepublic focused on AI, cybersecurity, enterprise software, and data. She has more than 10 years of editorial experience as a technology industry writer, combining reporting, product research, and hands-on software testing in her coverage. Her work has been published on Datamation, Enterprise Networking Planet, and TechnologyAdvice.com. She writes technology news, software reviews, product comparisons, and buyer’s guides for business and IT readers.

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