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Original article date: Jun 10, 2026

The Hidden Cost of AI at Work: UK Employees Spend 6 Hours Weekly 'Botsitting'

June 10, 2026
5 min read

AI was supposed to free up your time. Instead, British workers are spending nearly a full workday each week doing something researchers now call “botsitting” — the relentless work of managing, correcting, feeding context to, and restarting AI tools that don’t quite deliver.

What “Botsitting” Actually Looks Like

The work isn’t glamorous: loading the same context into different tools, catching hallucinations that sound authoritative but are subtly wrong, and policing outputs for errors that could derail client proposals or performance reviews. Workers have essentially become the integration layer their organization’s AI stack can’t provide on its own.

The Productivity Paradox

Key findings from the research:

  • British workers devote approximately 6 hours per week — close to a full workday — to botsitting activities
  • Fatigue from constant supervision leads many workers to accept subpar AI results rather than invest time in better outputs, gradually degrading quality across client deliverables and internal documents
  • Companies are building new layers of overhead rather than achieving genuine efficiency gains

Dr. Rebecca Hinds of the Work AI Institute put it plainly: “Adoption alone doesn’t equal transformation. If employees are spending the productivity dividend on botsitting, companies haven’t eliminated work — they’ve created a new layer of overhead.”

Sound Familiar?

The UK has embraced workplace AI more aggressively than many other markets, yet the gap between promised gains and actual experience is stark. This mirrors earlier waves of digitization — email promised efficiency and delivered overwhelm; enterprise software promised streamlined operations and delivered administrative bloat.

The pattern won’t change until organizations treat botsitting as a design flaw rather than an inevitable cost. That means redesigning workflows for AI integration, not just layering AI on top of existing ones.

Read the full article on Gadget Review