Uber Just Exposed AI’s Biggest Cost Problem

Eric and Neil break down why Uber’s AI spend is skyrocketing, what it means when tools like Claude Code become too useful to cut back, and why token costs may become the next big enterprise bottleneck. They also get into why AI may create more jobs than people expect, how smart teams should think about ROI on token spend, and why the companies that learn to scale AI efficiently will have a major edge.

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Key takeaways

◾ AI gets expensive fast when teams find real workflow value.

◾ Token costs are becoming a serious budgeting problem for enterprise teams.

◾ More AI usage only matters if it drives real ROI, not just more output.

◾ The biggest advantage may go to companies that optimize token spend first.

◾ History suggests new technology creates new categories of work, not just displacement.

Chapters

00:00 Uber burns through its AI budget

02:52 How teams are cutting AI costs

06:16 Why AI may create more jobs

12:28 How to measure real AI ROI

16:47 A business idea: return on token spend

18:09 What history says about AI and jobs

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Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who actually test what they teach.

The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of NP Digital and one of the most recognized marketers in the world.

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