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AI Doesn't Save Time – It Compresses It: 8 Months of Observations

11 min read

Companies are worried about getting employees to use AI. The promise is seductive: AI will handle the drudgery – document drafts, information summarisation, code debugging – freeing up time for higher-value work.

But are companies ready for what happens if they actually succeed?

Researchers at Stanford conducted an 8-month observational study of roughly 200 employees at an American tech company that had rolled out generative AI. The company didn’t mandate AI use – it simply provided corporate subscriptions to commercial tools. Employees decided for themselves whether to adopt them.

The result was paradoxical. AI didn’t reduce work. It intensified it. Workers moved faster, took on more tasks, spread their work across more hours in the day – often without any explicit external pressure. AI made “doing more” possible, accessible, and in many cases internally rewarding.

Strikingly, the same pattern shows up in other research. Microsoft found that 62% of product managers use Gen AI daily, yet while 81% say AI saves time, 56% deny that effort has decreased. A paradox? No – a pattern.

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AI Doesn't Save Time – It Compresses It: 8 Months of Observations
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Over the past year, 33 new AI models have appeared on the market, each claiming the title of “best manager’s assistant.” ChatGPT updated to GPT-5.2, Claude released Opus 4.5, Gemini added a new Pro version, Yandex and Sber announced further improvements, and Chinese models went OpenSource. How do you choose a tool when every one of them promises a productivity revolution? We decided to run a large-scale comparative study – but ran into a problem that may seem paradoxical.

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Workday conducted a global study with 3,200 respondents – and found that behind the impressive numbers lies an inconvenient reality. Nearly 40% of time saved with AI is spent fixing its mistakes. This isn’t a bug in specific tools, nor a problem of “incorrect usage.” It’s a systemic failure in how organisations deploy artificial intelligence.

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82% of Executives Use AI Weekly: How AI Penetrates Industries – Wharton 2025 Report

For the third year running, Wharton School of Business and GBK Collective have been tracking how US companies deploy generative AI. The fresh October 2025 numbers tell a clear story: the technology has moved from experiment to daily practice. In a previous article we looked at the gap between rank-and-file AI use (19% see results) and corporate projects (80% succeed). The new Wharton report shows exactly how companies get to that 80% – and why results differ across industries.