What is maxxing?
“Maxxing” is short for maximizing. Tacked onto almost any word, it describes pushing one part of your life to the max: sleepmaxxing for sleep, fibermaxxing for diet, looksmaxxing for appearance…
The trend has moved well beyond social media. Google called summer 2026 a summer of maxxing, with searches for the term at record highs. Dictionary.com named it its 2026 Word of the Year, seeing in it both a culture of optimization and a way of poking fun at it.
Because maxxing has a well-known limit: optimize everything long enough, and you end up optimizing the metric instead of the result.
Tokenmaxxing: when AI becomes a vanity metric
At work, that drift has a name: tokenmaxxing. “Tokens” are the units AI models consume. Tokenmaxxing means consuming as many as possible and treating that consumption as proof of productivity or of being ahead of the curve.
In 2026, the press reported that large tech companies had set up internal leaderboards of their heaviest AI users. The result: employees inflating their usage to rank well, AI budgets ballooning, and productivity gains that were hard to demonstrate. Several of those companies have since capped spending.
Measuring how much AI you use is like judging a car by how many warning lights are on.
Small businesses don't run token leaderboards. But they know a quieter version of the same trap: piling up AI tool subscriptions “because we have to get on board”, without knowing what any of them returns.
Valuemaxxing: maximizing what AI delivers
Valuemaxxing takes the opposite approach: instead of maximizing AI usage, you maximize the value it produces. Companies like IBM now openly talk about moving from tokenmaxxing to valuemaxxing.
| Tokenmaxxing | Valuemaxxing | |
|---|---|---|
| What you measure | AI volume consumed, number of tools | Hours saved, clients served, appointments booked |
| What you reward | Usage | Results |
| Cost | Variable, often underestimated | Known, and compared to the gain |
| The human's role | A user to win over | A supervisor who approves what matters |
The right metric isn't “how much AI do you use?” but “how many hours, clients or appointments did AI bring you this month?”.
5 questions to start valuemaxxing in a small business
- Which task eats up the most time every week? Start from one specific, repetitive task, not from a broad ambition.
- What measurable result do you expect? Hours saved, response time, callback rate: set it before you choose the tool.
- Who approves what commits the business? Define what the AI does on its own and what waits for a human green light.
- What's the full cost? Licenses, usage, phone minutes, maintenance: compare it with the expected gain.
- How will you know it works three months from now? Plan a simple report, weekly or monthly.
Three examples of valuemaxxing
Supporting every learner, without burning out the instructors
At Yoocancare, four AI assistants support more than 900 learners: they explain the lessons, grade assignments, check in every Monday and help learners launch their practice. The metric isn't the number of messages exchanged, but how consistently learners keep up and the time given back to the team.
Never losing another lead
The AI setter calls every lead back at the time they chose and only hands the closer qualified appointments. What gets measured is callbacks kept and appointments booked, not call minutes.
Producing more, without a ceiling
At Netcoaching, specialized agents produce websites, campaigns and posts, with human sign-off before anything goes live. The value shows in the number of clients served and in delivery times.
FAQ
What does “maxxing” mean?
It's short for maximizing: it describes optimizing some part of your life or your business as far as it will go. Dictionary.com named it its 2026 Word of the Year.
What is tokenmaxxing?
It's the practice of maximizing your AI consumption (the “tokens”) and presenting it as proof of productivity, without checking what it actually returns.
Is valuemaxxing only for large companies?
No. It's actually easiest to apply in a small business: one task, one tool, one metric. Let's talk about yours.