Subscription fatigue: paying for tools you use twice

Paying every month for a tool you use twice is broken for a simple reason: the price follows the calendar, not your use. A video app bought for one campaign, a lead database opened twice since spring, a scraper set up for a single project. Each one renews on the first of the month whether you touched it or not.

That is subscription fatigue, and it isn’t only a feeling. Company software bills, UK household spending and the way AI now uses tools all point the same way.

What is subscription fatigue?

Subscription fatigue is the frustration and waste that build up when you pay for more recurring plans than you use. It shows up in three ways: plans you rarely open, plans you forgot you had and plans that are hard to leave.

The last two are common. In polling for Citizens Advice in early 2024, 26% of UK adults, over 13 million people, said they had taken out a subscription by accident in the previous 12 months. The most common reasons were a plan that renewed without them knowing (40%) and a trial they forgot to cancel (39%). More than half (54%) said they had decided against a subscription because they worried it would be hard to cancel.

How much goes on subscriptions nobody uses?

For households, the UK government’s figures are the clearest. Of the UK’s 155 million or so active subscriptions, the Department for Business and Trade estimates that nearly 10 million are unwanted, costing consumers about 1.6 billion pounds a year, or 14 pounds a month for each one. New rules on clearer information, regular reminders and easier exits are due to come into force in January 2027.

Citizens Advice estimates spending on unused subscriptions from its own polling, and its estimate more than doubled between late 2022 and early 2024.

Estimated yearly UK spending on unused subscriptions

Show the data

Item	Value
Late 2022	306 million pounds
Early 2024	688 million pounds

Companies have the same problem at a larger scale. Zylo’s 2026 SaaS Management Index, based on more than 40 million software licences and 75 billion dollars of software spending, found that organisations leave an average of 36% of their licences unused, measured against recommended usage levels. The same index found that spending on AI-native apps rose 108% in a year and that ChatGPT is now the most expensed app: AI tools are arriving on individual cards, outside the usual buying process.

Why do small teams feel it most?

A large company can pay someone to hunt for unused licences. A founder or a small team usually has a company card, a busy month and a list of tools that each seemed essential at the time.

Small teams also tend to need tools for projects rather than every day: a lead list for an outreach push, a batch of video ads for a launch, competitors’ prices for a pricing review. Many of those tools are sold as plans, sometimes with a minimum tier, or with an annual discount that commits you for longer. So a tool you needed for one week costs you a month, or a year, and the renewal email arrives after you’ve moved on.

Why does AI make it worse?

Because your AI can now do the work, and the work needs tools. An assistant or agent can write, browse, plan and code on its own. Many requests also need paid tools and data it can’t reach on its own: lead data (businesses and decision makers, with their work contact details), AI video, web data, local business listings, social media data or company records.

The number of tools an AI can use is growing fast. OpenAI says its new ChatGPT Dots agents can connect to over 4,000 apps through plugins, and in December 2025 Anthropic counted more than 10,000 active public MCP servers, the connectors many AI apps use to reach outside tools. Paid tools behind those connections still sell access on their own terms, often as a plan. One account at a service can work across many AI apps, but each service is still its own subscription: see whether you need a subscription for every AI tool.

Illustrative example. Here is how a week of AI work could go:

• Monday: your AI builds a list of 40 dentists in Bristol for an outreach campaign. That needs lead data.
• Wednesday: it turns a product page into 20 short video ads. That needs an AI video tool, the case covered in bulk AI video without a subscription.
• Friday: it reads 12 competitors’ pricing pages and puts their plans in a table. That needs web data.

Three tools, a handful of calls each, and three monthly plans that renew whether or not there’s a job like it next week. An agent’s work is broad and comes in bursts. Monthly plans are built for the opposite.

When is a monthly plan still the right choice?

Subscriptions aren’t the villain. They’re the wrong shape for occasional use.

How you use a tool	Better fit
Every day, at a steady rate	A monthly plan
A few times a month	Pay per call
In bursts, for one project	Pay per call, or a plan you cancel afterwards
Not sure yet	Pay per call while you find out
Through a provider plan you already pay for	Keep the plan and use your own key with it

A quick test: divide what you paid last month by the number of times you used the tool. If that looks like a lot for one go, it probably is. Pay per call vs monthly plans for AI tools goes through the trade-offs, including how to keep usage pricing under control.

How do you cut the plans you barely use?

1. List every recurring charge. Your bank and card statements are more complete than your memory. Include annual plans; they’re the easiest to forget.
2. Note when you last used each one. If you can’t remember, that’s your answer.
3. Cancel or downgrade the ones you rarely use. Keep the tools you open every week.
4. Set a reminder before each trial ends. UK rules due in January 2027 will require regular reminders, but you don’t have to wait.
5. Ask whether the tool can be paid per use. If it can, and you use it rarely, that’s usually the better deal.

Where IKAG fits

IKAG is building one connection that gives the AI you already use the paid tools and data it can’t reach on its own, designed so your AI pays per call instead of you keeping a plan for each. IKAG is opening to early users and data partners first. Its first tool, company records from official registries, already runs inside IKAG; lead data, AI video, web data and the others come next. No prices have been set, and you can see how pricing is designed.