Jordan Wilson

speaker

36,586 appearances 81 recordings 1 series first heard Jun 2026 last heard 3d ago

Jordan Wilson’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 81 in all, peaking in Jul 2026 with 23.

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Everyday AI Podcast – An AI and ChatGPT Podcast · Ep 868: Tokenmaxxing is over: The New Era of Token Efficiency and how Your Company Should Adapt (Start Here Series Vol 27 · 23 Sep 2026 podcast

So token maxing is the corporate practice where companies push AI token consumption and correlate that AI usage as a direct metric for employee productivity or pointing to the fact that they're doing something positive with their AI spend. matched

Like if you're using billions of AI tokens a day, that means that you're living inside of large language models and clearly you are creating huge value for the company. matched

Because more prompts has to mean more ROI. matched

Right? matched

But that strange AI power flex of early 2026 has quickly revealed itself to be a false and sometimes dangerous metric by mid-2026. matched

Because it turns out all that token maxing leads to is a competition to see who can run the longest agentic loops, regardless of if it actually accomplishes a company's goal. matched

So what's the new metric? matched

What should your company be looking at? matched

That's token efficiency. matched

In other words, getting the most bang for your AI token usage buck means not just burning AI usage for the sake of using it, but instead aligning your company's AI strategy with the right model, used the right way for the right job. matched

Weird. matched

Common AI Sense pays off more than a leaderboard showing who is using the most tokens. matched

So matched

On today's show, we're going to break down the rise and fall of token maxing, not only showing you what tokens are and how they work, but also uncovering the proper best practices to put your tokens toward actual measurable outputs versus just lighting millions of dollars on fire. matched

So matched

Here's the big picture. matched

For the past six-ish months, companies have treated heavy AI token use as proof of productivity. matched

And that's because token prices themselves have fell like 200 times. matched

Right. matched

If you remember back, you know, the earlier versions of the GPT technology were like $30 per million, you know, input and like $60 per million. matched

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