Prompt Engineering is Dead | What Comes Next Changes Everything

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Prompt Engineering is Dead | What Comes Next Changes Everything

What's really happening when Klarna's AI agent does the work of 853 employees but costs the company something far more valuable than the $60 million it saved?

The common story is that AI can't handle nuance, but the reality is more interesting when the AI worked too well at optimizing for exactly the wrong objective.

In this video, I share the inside scoop on why the gap between AI capability and organizational value is the most important unsolved problem in enterprise AI:

• Why 74% of companies report no tangible value from AI despite massive investment

• How Microsoft Copilot stalled at 5% deployment despite 85% Fortune 500 adoption

• What separates context engineering from intent engineering and why intent is the missing layer

• Where the race has shifted from who has the smartest model to who has the clearest organizational intent

For leaders watching agents run for weeks and soon for months, the question is no longer can AI do this task, it's can AI do this task in a way that serves what we actually need?

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Prompt Engineering is Dead | What Comes Next Changes Everything

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