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Applied AI·October 29, 2026·1 min read

'This is a training and trust problem, not an AI problem': Barely any workers are verifying information given to them by AI

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If under a quarter of employees are verifying AI output — and younger workers are asking the model before their manager — your risk surface is now cultural, not just technical. Treat AI verification like code review: design it into workflows, train for it explicitly, and instrument where it’s skipped.

Applied AI

Nvidia is set to work even closer with Meta's slightly creepy Muse AI models — and it's even investing $3bn in Meta to show its support

When your primary GPU supplier writes a $3 billion equity check, the relationship is no longer vendor–customer — it’s strategic alignment on roadmap and priority access. If you’re not a top-3 account for a major chip vendor, assume your pricing, allocation, and co-development leverage are structurally worse and plan capacity accordingly.

Applied AI

On Amazon's earnings call, Andy Jassy says outside AI shopping agents are "still not great, nor more convenient than coming to a retailer directly"

Amazon is telling the street it doesn’t see third-party shopping agents as an immediate threat — which buys incumbents a bit of time but also signals they’ll defend the retail surface aggressively. If you’re experimenting with commerce agents, assume limited cooperation from major marketplaces and design for scraping, email parsing, and direct brand integrations instead of official APIs.