The Guardian · 20 Oct, 13:06 · Artificial Intelligence briefing

Don’t be fooled. The AI that was supposed to save us time is doing just the opposite | Gaby Hinsliff

Gaby Hinsliff’s article challenges the prevailing narrative that artificial intelligence inherently boosts productivity.

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The briefing

The story
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Gaby Hinsliff’s article challenges the prevailing narrative that artificial intelligence inherently boosts productivity. Instead, it reports that AI tools often consume more time than they save, due to the significant effort required for prompt engineering, verifying outputs, and managing integration complexities. The piece argues that professionals are frequently overestimating automation benefits while underestimating the cognitive load of supervising AI. This counter-intuitive finding suggests that the promised efficiency gains are currently illusory for many users, highlighting a disconnects between technological capability and practical workplace implementation.

Employer demand for AI Strategy skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
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You must rethink your reliance on AI as a simple time-saver. Instead of automating tasks blindly, you need to develop critical oversight skills to verify AI outputs effectively. Professionals who can distinguish between useful automation and costly friction will rise in value. Focus on strengthening your core domain expertise, as AI cannot replace deep contextual understanding. Audit your current workflows to identify where AI adds complexity rather than speed. Invest in learning how to manage AI tools strategically, not just technically. Prioritise skills in critical thinking and quality assurance. By adopting a sceptical, measured approach, you avoid the productivity trap and position yourself as a leader who leverages technology wisely rather than being consumed by it.

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Indicative salary uplift in the fields matched to this story
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