stop token maxing start measuring

Stop Token Maxing And Start Measuring

Editorial Team
6 Min Read

AI budgets are ballooning, and the new status symbol is burn. The pitch is simple: more tokens, more progress. I don’t buy it. Spending your way to advantage without a plan is a tax on wishful thinking. The smarter move is to treat token spend like any other cost: tracked, tested, and tied to results.

What I Heard — And Why It Matters

Kipp Bodnar and Kieran Flanagan nailed a hard truth. The culture of “maxing” has jumped from fitness feeds to AI teams. It’s now cool to go big on credits and call it innovation. That mindset isn’t strategy. It’s theater.

“What if I told you last month there was a single developer who spent $150,000 on tokens? And what if I told you that company didn’t really know what the outcome of that spend was?”

That line should make every leader pause. I’ve built products and run teams for decades. If I can’t tie $150,000 to a clear gain, I stop the spend. The same rule should apply to AI.

The New Badge Of Honor Is Waste

Kipp described a trip to San Francisco where leaders bragged about burning “more money, more tokens.” I’ve heard the same. This is the hype cycle at work.

“The average enterprise, they’re burning through 13 times more tokens than they were last year.”

Thirteen times is not a strategy. It’s a signal. Either teams found 13 times more value or they lost the plot. My bet: most don’t know.

“If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed.”

That quote, tied to Jensen Huang’s stance, feeds the trend. I respect ambition. But maxing usage to prove ambition is lazy management. Great leaders reward outcomes, not invoices.

My Take As A Builder And Marketer

I love AI. I ship with it. I invest in it. But burn without unit economics is malpractice. The right question isn’t “How much can we spend?” It’s “What does each dollar unlock?” If tokens cut cycle time by half, great. If they lift conversion by 10% on a key path, spend more. If not, you’re paying for vibes.

There is a fair counterpoint: AI progress comes from exploration. True. You need slack in the system. You also need guardrails. A lab budget is different from an open bar. Set a hypothesis. Set a cap. Prove or kill fast.

What To Do Instead

Leaders don’t need slogans. They need a simple plan that ties spend to value.

  • Set a token budget per team with a clear hypothesis for each project.
  • Pick two core metrics: time saved and money made or saved.
  • Track cost per outcome: tokens per task, tokens per qualified lead, tokens per support resolution.
  • Favor smaller models when they meet the bar. Size is not a virtue.
  • Cache, fine-tune, and prune prompts to cut waste.
  • Run A/B tests: human-only vs. AI-assisted vs. fully automated.
  • Kill losers in two weeks. Scale winners in two months.

This isn’t fancy. It’s discipline. And it works.

Where Kipp And Kieran Are Right

The hosts call out a dangerous fad. They also surface a key insight: leaders are signaling spend targets to look bold. That’s theater over truth. Real boldness is choosing the boring path that prints results. Tokens are a tool, not a trophy.

“Burn as many tokens as you can, use these AI models.”

That attitude creates perverse incentives. Teams optimize for volume, not value. You don’t need more tokens. You need better prompts, smaller loops, and sharper goals.

Practical Playbook For Teams

If I were running your AI line item tomorrow, here’s how I’d start.

  1. Inventory current usage. Rank by cost and impact.
  2. Cut the bottom third. No debate.
  3. Double down on the top 10% with clear ROI.
  4. Create a “lab” budget with strict timeboxes.
  5. Publish a weekly report: spend, wins, cuts, next bets.

Transparency beats hype. Every time.

The Bottom Line

Stop chasing token maxing. Start chasing outcomes. If your team can’t explain what more spend buys, freeze it. If they can prove faster cycles, higher revenue, or lower churn, fund it like crazy. AI isn’t a flex. It’s a line on a P&L.

My call to action: set a 30-day audit on AI costs. Tie every dollar to a result or shut it off. Reward the builders who make tokens work harder, not the ones who burn the most. That’s how you win the next quarter—and the next year.

Share This Article