Token Efficiency: How to get more from AI for less
Have you noticed that as frontier AI models have become more powerful, vendors have started introducing higher-priced power-user tiers?
There is a reason for that.
AI is here to stay, but our relationship with it is still in its infancy. The tools are becoming more capable, but also more compute-hungry. And as more people use AI for research, writing, coding, analysis, automation and agents, the question becomes harder to ignore:
Can a £15 to £20 per month subscription really cover unlimited use of increasingly powerful AI?
Recent reports of companies burning through AI tool budgets far faster than expected suggest this is not just a Big Tech problem. It is a practical business issue for anyone using AI seriously.
In this talk, we’ll look at token efficiency. What it is, why it matters, and how to get better results from AI without wasting compute, time or money.
We’ll cover:
Why newer AI models can be expensive to run
What tokens are, in plain English
How inefficient prompts and workflows waste money
When smaller or local models may be good enough
How token-efficient habits can improve speed, cost and quality
Whether higher pricing tiers, local AI and more efficient models are likely to shape the next phase of AI adoption
And the good news: capable local AI tools already exist that you can use without paying per token. We’ll talk about those too.
Join us on 10 July for a practical, business-focused session on using AI more efficiently.
Register now and we’ll see you there.