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AI Tokens Explained, and Why Your Business Should Be Watching Them
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AI Tokens Explained, and Why Your Business Should Be Watching Them
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AI Tokens Explained, and Why Your Business Should Be Watching Them

AI Tokens

The small word behind some very big bills

You may have seen the headlines. Companies running up eye-watering bills for artificial intelligence, almost overnight. One ride-hailing giant burned through its entire annual AI budget in just four months. One business reportedly ran up a bill of 500 million dollars in a single month. Even the head of the company behind ChatGPT has called the costs a massive problem for his business customers.

Behind nearly every one of these stories sits one small word you may not have paid much attention to. The token. If your organisation is starting to use AI, whether you are a small business or a charity, it is worth understanding what AI tokens are, because they are how most AI tools quietly add up their costs. The good news is that the idea is far simpler than the headlines make it sound.

What is an AI token?

AI language models, the technology behind tools like ChatGPT and Claude, do not read words the way we do. They break text down into small chunks called tokens. A token is roughly four characters, or about three-quarters of a word. So a typical thousand-word document works out at somewhere between 1,300 and 1,500 tokens.

Every time you use an AI tool, it counts the tokens going in and the tokens coming out. Going in is everything you send it, your question, your instructions, and any documents you attach. Coming out is the response it gives you. The simplest way to picture it is as a meter, much like the one on a taxi or your electricity supply. The more text that flows in and out, the more the meter ticks over.

One quirk is worth knowing. The text the AI produces usually costs more than the text you put in, often several times more, because generating an answer takes more computing power than reading your request.

Why tokens are suddenly in the news

Here is the part that surprises people. The price of a single token has actually fallen sharply, by around 80% in little more than a year. So you would expect AI bills to be shrinking. Instead they have been exploding, and the reason is consumption. Organisations are using AI far more than they did, and a new generation of so-called agentic tools, which carry out tasks on their own across many steps, get through tokens at a rate no human typing into a chatbot ever could.

The results have been dramatic. The ride-hailing firm Uber blew through its whole 2026 AI budget by April and capped what staff could spend. Microsoft pulled back AI coding licences for many of its own developers. At Meta, employees got through 73.7 trillion tokens in roughly a month, tracked on an internal leaderboard, prompting the company’s technology chief to remind staff that heavy token use is not the same thing as real progress. The concern has grown serious enough that the Linux Foundation has set up a new body to bring some financial discipline to it all.

These are giant companies with giant budgets. So why should a smaller organisation care?

Why this matters even if you are not a tech giant

You are never going to run up a 500 million dollar bill. But the same mechanics apply at a much smaller scale, and for an organisation where every pound counts, an unexpected jump in costs is a real problem. There are three ways this catches smaller businesses and charities out.

  • Unlimited often is not unlimited. Plenty of AI subscriptions advertise generous or even unlimited use, then quietly introduce fair-use caps or new usage tiers once their own costs climb. The deal you signed up for is not always the deal you keep.
  • Tools are shifting to usage-based pricing. Several popular tools have moved from a flat monthly fee to charging by consumption, and some users have seen their monthly costs rise many times over as a result. One widely used coding assistant left some customers facing bills almost nineteen times higher than before.
  • The clever tools cost the most. The newer tools that do the work for you, rather than just answering a question, can use many times the tokens of a simple chatbot exchange. The cost climbs quietly in the background, and it is easy to lose track of.

For a small charity, a tool that jumps from thirty pounds a month to several hundred is not a rounding error. It is a line in the budget that suddenly does not add up.

How to keep an eye on your tokens

You do not need to become technical to stay in control. A few sensible habits will do most of the work.

  • Know how each tool charges. Is it a flat subscription, usage-based, or a mix of the two? Read the pricing page properly before you commit, not after the first bill.
  • Watch for changes at renewal. Tools that started out flat-rate are increasingly moving to usage-based billing. Check the terms each time you renew rather than assuming nothing has changed.
  • Set a budget and a cap. Many platforms let you set a spending limit or an alert. Turn them on. It is far better to be warned than surprised.
  • Match the tool to the task. You rarely need the most powerful and most expensive model for everyday work. Lighter, cheaper options handle most routine jobs perfectly well.
  • Keep your requests tight. Shorter prompts and asking for concise answers both reduce token use, and since the answer is the pricier side, brevity genuinely saves money.
  • Review usage regularly. Treat it like any other utility bill and give it a quick look each month.

Our take

You do not need to be frightened of tokens. You just need to understand them. Used sensibly, AI can be genuinely good value for a small business or charity, and falling prices are working in your favour. The risk is not the technology itself, it is adopting it without knowing how it is being measured and charged.

So treat your AI tools the way you would treat any other utility. Know what you are paying for, keep half an eye on the meter, and review it now and then. Do that, and you can get the real benefits of AI without the nasty surprise at the bottom of the invoice.

Thinking about AI for your organisation, without the guesswork?

If you are weighing up AI tools and want a straight, jargon-free view of what is worth your budget and how to keep the costs under control, we would welcome a conversation. At NAMA we help small businesses, charities, and other values-led organisations adopt technology in a way that genuinely works for them. Visit www.notanothermarketingagency.co.uk to talk it through.

References

[1] TechCrunch, The token bill comes due, June 2026. https://techcrunch.com/2026/06/05/the-token-bill-comes-due-inside-the-industry-scramble-to-manage-ais-runaway-costs/

[2] Global News, AI tokens are catching some companies by surprise, June 2026. https://globalnews.ca/news/11896609/artificial-intelligence-tokens-explained/

[3] iternal.ai, AI API Pricing Calculator 2026 (token fundamentals and price trends). https://iternal.ai/llm-pricing-calculator

[4] MLQ News, Meta caps internal AI token spending, June 2026. https://mlq.ai/news/meta-caps-internal-ai-token-spending-after-costs-approach-billions-in-2026/

[5] BigGo Finance, AI bill shock and emergency caps, June 2026. https://finance.biggo.com/news/V1Rlq54B2jrwCtgl4Nbo

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