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In this video, I explain why most businesses should pause spending on custom AI systems and wait for all-in-one AI platforms to mature. Drawing parallels to the early days of the automobile, I break down the shift from individual models and agent harnesses to unified platforms that bring together humans, AI agents, context and data. I walk through my seven-part framework for evaluating AI platforms and score what the major AI labs and startups offer right now. Finally, I cover the hidden costs and risks of custom builds, why you shouldn’t build ahead of major lab updates, and a practical checklist for business owners and agency founders navigating the market.
00:00 Why most businesses should stop spending on AI
01:12 What Henry Ford’s first cars teach us about AI
01:57 Why harnesses are winning (for now)
02:46 Welcome to the AI waiting room
03:00 The all-in-one AI platform we’re waiting for
03:37 The 7 pieces of an AI platform
05:53 Why you should NOT buy a custom AI build
07:10 The real problem with custom AI builds
08:30 You’re about to get sold …hard
10:08 Go all in (or don’t go at all)
10:23 What this means for AI agencies
10:54 Scoring each AI lab
13:47 When will a platform actually be ready?
14:28 AI Labs vs. AI startups: which is best?
19:17 Don’t sleep on this
WATCH NEXT: If You Don’t Understand This, You’ll Never Make AI Work
– https://youtu.be/HvjHt25RGyU
