A financial analyst spots something wrong with a deal. He writes up his dissent.
But the AI disagreed. The investment committee spent 90 seconds discussing his objection, and went with the AI score.
A year later, the analyst stopped writing dissents entirely — what's the point?
This story is from finance. But the pattern is emerging everywhere — in law firms, in startups, in any organisation where AI is now in the room when decisions get made.
This episode is about what to do about it.
You will hear from Rana Gujral, the author of the AI Instinct: The Future of Humans and Machine Decision Making
Throughout his career, Rana has founded and exited a machine learning SaaS company, led major technology transformations, and built AI systems deployed across industries ranging from financial services to defence.
Listen to this episode to learn:
Why the biggest AI risk is not that it gets things wrong — it is that it gets things right in exactly the same way as everyone else
How to tell whether AI is augmenting your thinking or replacing it — and the two tests that reveal the difference
What happens to junior talent in law firms and startups when AI takes over the work that builds judgment
The one practical step you can take this week to make sure you are still actually thinking — not just ratifying what the machine already decided
Timestamps:
00:00 – Why AI scoring is silencing human dissent
00:49 – Welcome and back-to-school business energy
05:14 – How one bad AI-backed VC deal got approved
07:32 – How leaders can protect employee judgment from AI
10:24 – Why human intuition still beats AI scores
13:59 – The hidden risk of AI in law firms and junior lawyers
17:47 – Is AI augmenting or replacing your team's thinking?
20:39 – How to rebuild independent thinking after relying on AI
22:27 – Rana Gujral on his new book, The AI Instinct
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