// AI · Productivity · Culture · March 2026 · 4 min read

Use
the Tokens.

Your company is handing you tens of thousands of dollars worth of AI tokens. The real risk isn't overuse - it's underuse.

Your company is handing you tens of thousands of dollars worth of AI tokens. Maybe more.

Do you know how to get the most out of them?

Most people don't. Not because they lack the ability, but because they're still treating AI like a metered utility - something to sip carefully, in case someone upstairs notices the bill.

The real risk isn't overuse.
It's underuse.

If you're hesitating, you're already behind.

01 · The hesitation tax

I watch it happen every week. An engineer gets access to a frontier model with a generous budget, runs a few careful prompts, gets a decent answer, and stops. The token counter barely moved.

The work barely moved either.

That caution feels responsible. It isn't. The cost of the tokens you didn't spend is invisible - it shows up as the approach you never explored, the analysis you never ran, the week spent doing manually what should have taken an afternoon.

Unused capacity is the most expensive line item nobody reports.

02 · What heavy usage looks like

Spending tokens isn't the goal. Spending them deliberately is. Use them to:

Explore multiple approaches, not just one
Automate the work you shouldn't be doing
Go deeper on analysis than you ever could manually
Increase your iteration speed dramatically
Design agentic workflows

Notice what's on that list. Not "write my emails." Not "summarize this document." Those are fine. They're also table stakes.

The goal isn't simply efficiency.
It's a super-human change in productivity.

Running three approaches in parallel and keeping the best one used to be a luxury reserved for the most important problems. Now it's a Tuesday. Depth of analysis that used to take a week of focus now fits inside a morning. That's not doing the old job faster. That's a different job description.

03 · Coach the heavy users

Here's the leadership angle, because there is one.

When usage reports land on my desk, the number that worries me is never the highest one. It's the lowest one.

I'd much rather be coaching someone to be strategic with heavy usage than trying to unlock someone who barely uses the tools at all. One of those conversations is about judgment. The other is about inertia.

Heavy users are learning. Every wasted token teaches them something about where the models are strong, where they break, and where the leverage lives. That education compounds - and it's a bargain at the price.

Use the tokens.
Learn fast.
Iterate faster.
ACT ACCORDINGLY...
MF
MARIO FILIPAS
Senior Director, Cloud GPU Software · AMD · University of Waterloo

Leading 150 engineers across Canada, Serbia, and China building GPU virtualization software for AMD's Instinct AI accelerators. I think about what's next...with urgency. I run on AI.

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