SIGNALAI·Jun 3, 2026, 2:43 PMSignal75Short term

I paid Microsoft's premium Copilot agents to do my work - they were confidently bad at it

Source: ZDNet — AI

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I paid Microsoft's premium Copilot agents to do my work - they were confidently bad at it

Can you get a Copilot agent to do your work for you? I tried, but the AI wasn't ready to play along.

Why this matters
Why now

The proliferation of advanced AI models and agentic frameworks is setting the expectation for increased autonomy, making real-world demonstrations of current capabilities highly relevant.

Why it’s important

This highlights the current limitations of even sophisticated AI agents in performing complex, nuanced white-collar tasks, tempering expectations around immediate job displacement and workflow automation.

What changes

Perceptions around the near-term efficacy of AI agents for complex, non-trivial work tasks are recalibrated, emphasizing continued human oversight and intervention.

Winners
  • · Human knowledge workers
  • · Companies offering human-in-the-loop AI solutions
  • · Startups building specialized AI tools
Losers
  • · Over-optimistic AI adopters
  • · Companies investing solely in fully autonomous general agents for complex tasks
  • · Microsoft's premium Copilot brand perception
Second-order effects
Direct

Enterprise adoption of fully autonomous AI agents for high-value tasks will be slower than some projections.

Second

There will be increased investment in AI-powering human workers rather than replacing them, fostering 'copilot' models for specific, bounded functions.

Third

The development trajectory of AI agents may shift towards more robust, verifiable, and explainable systems, rather than simply more 'confident' ones.

Editorial confidence: 90 / 100 · Structural impact: 40 / 100
Original report

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Read at ZDNet — AI
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