Machines and Menschen #2 - Why AI Speed Is the New Risk Nobody is Managing

McKinsey built an AI tool so central to their business that
45,000 employees couldn't work without it. Then it got hacked —
not by a sophisticated AI exploit, but by a 25-year-old SQL
injection that any junior developer should have caught. But in AI
accelerated times, no one is hiring junior developers.


In this episode, we make the case that the biggest risk AI
introduces isn't hallucinations, bias, or job displacement, but
the organizational pressure to move so fast that the basics stop
happening.


We also get into: why firing junior employees to save costs might
be quietly killing your senior talent pipeline, what the leaked
EU Inc. draft actually says — and why it disappointed every
startup founder who was counting on it, and why the US and Europe
aren't just moving at different speeds, they have fundamentally
different relationships with failure.