Tokenmaxxing Is Breaking AI Strategy

Companies are racing to adopt AI. But what happens when they start incentivizing the wrong behavior? In this episode of Leading Change in the Wild, I break down the rise of “tokenmaxxing” and how AI leaderboards inside major companies are driving massive usage… without delivering real value.   From engineers burning tokens to hit leaderboards to companies blowing through millions in AI spend, we are starting to see the consequences of chasing usage instead of outcomes. Here’s what I unpack:  What “tokenmaxxing” is and why it’s spreading across companies   How AI leaderboards are driving the wrong behaviors   The massive cost of AI usage without clear strategy   Why companies are burning through budgets faster than expected   The connection between AI spend and layoffs   What the data actually says about AI productivity gains   Why incentivizing usage instead of value is a leadership failure  The takeaway is clear. More AI usage does not equal more productivity. If you measure the wrong thing, you get the wrong outcome. This is not just a technology problem. It is a leadership problem. Because the way you incentivize behavior will determine whether AI becomes an advantage or a liability. 👇 Let’s discuss:  Is your company tracking AI usage or actual outcomes?   Have you seen behavior like this inside your organization?   What should leaders be measuring instead?  🔔 Subscribe for weekly insights on digital transformation, leadership, and emerging technologies.