The New Oil: AI Tokens Explained

There's a tiny unit of value sitting at the centre of the biggest spending race in human history. It's not Bitcoin. It's not equity. It's called a token. And once you understand it, AI finally makes sense.

Understanding tokens explains everything happening in AI right now. The $600B infrastructure buildout. The data centres in Memphis. The satellites going into orbit. All of it.

What Is a Token?

Think of a token as the basic unit AI uses to think and respond. Not quite a word. Not quite a letter. Somewhere in between.

• 750 words ≈ 1,000 tokens

• A quick chat with AI = a few hundred tokens

• An AI agent running overnight = millions of tokens

• Every single token costs real money to produce

• Behind each token: specialised chips costing $25,000–$40,000 each, running in massive datacentres worth billions

Types of AI Tokens

Behind each token is a specialised chip costing up to $400,000. Thousands of them. Running at full power. In buildings that cost billions to construct. Just to answer your questions.

The Biggest Price Drop in Technology History

• In 2022, one million tokens cost $20

• By late 2024, the same thing cost 7 cents

• That's a 280x collapse in under two years

• Solar panels took 40 years to move that far, AI did it in two

So companies must be spending less on AI now, right? Wrong.

AI Token consumption by Model

Cheaper Tokens = More Spending. Every Time.

• Enterprise AI spending: $11.5B in 2024 → $37B in 2025

• That's a 320% increase, while prices were collapsing

• Average company now spends $85,000/month on AI

• 45% of companies spend over $100,000/month, that figure doubled in one year

This isn't an anomaly. It's history repeating itself.

Look Back at the Industrial Revolution

When the steam engine made coal cheap and efficient, the assumption was simple: less fuel needed. Smarter engines, lower consumption.

The exact opposite happened.

Cheaper coal unlocked things that were previously too expensive to bother with. New factories opened. New machines were built. Entire new industries appeared from nowhere. Coal consumption exploded, not from waste, but from new possibility.

Every time the token price drops, 10 new use cases become possible that weren't before.

• Contracts that wouldn't get reviewed by AI

• Research that wouldn't get funded

• Products that wouldn't get built

• Automation projects that would never have made it through the business case

We are watching the Industrial Revolution, but for intelligence.

AI Agents Are Pouring Petrol on This Fire

Normal AI chat uses a few hundred tokens. AI agents are a fundamentally different category.

An agent doesn't just respond. It thinks, acts, checks the result, rethinks, and acts again, in loops, for hours, sometimes overnight.

• A coding agent fixing a single bug = 50,000 to 500,000 tokens in one session

• A research and build task = millions of tokens, easily

• Agents consume 10–100x more tokens than a normal conversation

• And they're becoming mainstream fast

The steam engine didn't just power one factory. It powered the era. AI agents are doing the same thing, at a speed nobody anticipated.

The Infrastructure Arms Race This Creates

When demand explodes, infrastructure has to keep up. The numbers here are genuinely staggering.

• Hyperscalers (Amazon, Google, Microsoft, Meta) spent $260B on AI infrastructure in 2024

• That jumped to $450B in 2025

• It will cross $600B in 2026

• Goldman Sachs projects $1.15 trillion in total hyperscaler spend by 2027

• Elon Musk spent ~$18B filling three buildings in Memphis with 500,000 chips

• The Stargate project, OpenAI, SoftBank, Oracle is targeting $500B over four years

• SpaceX filed to put one million computing satellites in orbit, data centres in space, powered by the sun, cooled by the coldness of space

These aren't projections or wishful thinking. These are real filings. Real buildings. Real capital already deployed.

The Shift Nobody Is Talking About

For the first time ever in 2026, running AI costs more than building it.

• Inference (generating responses for users) now accounts for 55% of all AI cloud spending

• That's projected to reach 70–80% by 2030

• The industry has moved from creating intelligence to delivering it at massive scale

• The factory is built. Now we're running it at full capacity.

This is the inflection point. The centre of gravity has moved.

What This Means for Your Business

If you're deploying AI or evaluating it, token economics should already be informing your decisions.

• Not all tasks need expensive models, knowing which is which saves serious money

• AI agent costs compound fast if you're not actively tracking them

• Per-seat software pricing is dying, usage-based models are replacing it

• By 2028, seat-based pricing for AI-enabled workflows is projected to be obsolete

The businesses that understand this now will make better vendor decisions, smarter build-vs-buy calls, and clearer ROI cases for AI investment.

The Bottom Line

Token prices keep falling. Demand keeps exploding, just like coal did in the 1800s. Agents multiply that demand by 10–100x. And infrastructure investment is responding at a scale the world has never seen.

The Industrial Revolution ran for over 150 years. We are two years into the AI version.

The companies and people who understand token economics will make better decisions, about what to build, where to invest, and where this is heading.

Follow the tokens. Everything else follows from there.

About Fruition Services

Fruition Partners with AI market leaders like monday.com, Atlassian Hubspot we specialise in AI strategy and implementation, with 750+ client implementations across Australia, the UK, and the US. We help business leaders understand and deploy AI in ways that drive real operational results.

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