Marketing Against The Grain They Spent $150,000 on AI Tokens (And Got Nothing)
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Apr 28, 2026 They unpack the craze of spending huge sums on AI tokens and why token use can skyrocket without clear payoff. They contrast token-maxing with outcome-driven approaches and when AI ties directly to sales or support results. They offer practical rules for aligning spend with measurable outcomes and managing creative experiments to avoid waste.
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Developer Spent $150,000 On Tokens
- A single developer burned $150,000 on AI tokens without clear business outcomes.
- Kipp Bodnar and Kieran Flanagan use this example to introduce the risks of unchecked token spending in companies.
Token Consumption Often Lacks Outcome Correlation
- Token consumption is skyrocketing but often disconnected from measurable outcomes.
- Companies report huge token usage (e.g., Meta burned a billion tokens in a month) yet can't always link spend to revenue or business results.
Maximize Outcomes Not Tokens
- Optimize AI investment for outcomes not raw token use by defining clear business results like doubling closed deals.
- Kieran contrasts 'token maxing' with 'outcome maxing' and urges measuring revenue or productivity gains from AI agents.