Will Humans Replace AI? | The Token Cost Dilemma

👉 Join our exclusive AI SEO Mastery group for templates and resources: https://www.skool.com/ai-seo-mastery/ Microsoft, Uber and other major companies are quietly pulling back on the very AI tools they spent years pushing employees to adopt. Token costs have surged, data center projects are being delayed or cancelled, and in some cases AI spending is rivalling or exceeding what it would cost to keep human teams. This video breaks down the real economics behind the AI spending boom — from explosive usage patterns inside big tech to the gap between promised savings and actual P&L impact. We examine how token pricing has changed since 2025, why demand projections didn’t match reality, and whether AI is still delivering lower costs than the workers it was supposed to replace across coding, operations and other roles in 2026. Ideal for viewers following AI business trends, enterprise tech strategy, automation economics and the shifting ROI of large language models. Chapters: 00:00 - The Most Expensive Worker in Big Tech 00:45 - The Original “Cheap AI” Pitch Everyone Bought 01:30 - AI Layoffs vs Normal Economic Cycle 03:20 - When “Cheap AI” Suddenly Got Expensive 04:42 - The Math That Was Supposed to Be a Slam Dunk 05:53 - Token Usage Explodes Inside Companies 08:45 - Nvidia CEO Pushes Harder Token Consumption 09:52 - Data Center Projects Cancelled or Delayed 11:51 - Token Prices More Than Double Since 2025 13:20 - Why Efficiency Fixes Aren’t Happening at Scale 14:54 - How Smaller Teams Cut Token Spend Dramatically 16:07 - AI Agents vs Human Labor Costs Today 18:12 - The Problem With Straight-Line Cost Projections 19:24 - Competition Already Pushing Token Prices Down 21:51 - When Human Labor Becomes the Cheaper Option 22:59 - The Structural Reason Waste Keeps Growing 24:08 - Same Hype Playbook, Different Crisis Interested in hiring my agency? https://calebulku.com/hire-my-agency/