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AI is transforming tech work, but job losses and trust gaps persist despite rising adoption.
A new Google study finds 90% of tech workers globally use AI at work, up 14% from last year, primarily for coding, documentation, and debugging, with tools like Gemini Code Assist widely adopted across engineering teams.
Despite high usage, trust in AI-generated code remains mixed, with only 20% expressing strong confidence and minimal reported improvements in code quality.
Experts note AI is capable of complex tasks but still requires human oversight.
The shift coincides with a sharp decline in software job listings—down 71% since early 2022—and rising unemployment among recent computer science graduates, surpassing rates in some humanities fields.
While AI is seen as automating repetitive work, concerns persist over job displacement, skill gaps, and industry hype driving adoption.
Tech companies and startups continue competing to offer AI coding tools, but long-term success depends on broader process changes, training, and proven value beyond pilot programs.
La IA está transformando el trabajo tecnológico, pero la pérdida de empleos y las brechas de confianza persisten a pesar de la creciente adopción.