The Cost of AI Keeps Falling: Why the Window for Business Is Now

The cost of AI keeps falling because the price to run a model per unit of text dropped sharply from 2023 to 2026, and competition between providers keeps pushing it down. Tasks that were too expensive to automate two years ago are cheap routine work now.

TL;DR: Model prices per token fell hard over three years, often by large multiples. That flows down to services. A chatbot now starts at 150 GEL/month against roughly 1500 GEL/month for an in-house SMM hire.

Falling cost is the reason to start now, not later. To see what current prices buy for your business, check the aiNOW pricing page before you assume AI is out of budget.

What part of AI got cheaper?

The price providers charge to process text, measured per token of roughly a few characters, is what fell. Across the major providers this price dropped by large multiples between 2023 and 2026 as models got more efficient and competition intensified. Hardware and human review costs moved far less.

The exact figure depends on which model and which provider you compare, so treat any single number as illustrative rather than precise. The direction holds across every provider even when the precise multiplier does not.

Three forces drive the fall:

Better efficiency. Newer models do the same work with less compute, which lowers the cost to serve each request.
Competition. Several providers now compete for the same business, and price is a lever they pull.
Smaller capable models. A small modern model often handles a routine task that once needed a large expensive one, at a fraction of the price.

The arithmetic, made simple

Here is how the fall shows up in practice, using round illustrative numbers. Say a task costs a certain amount per thousand units of text in 2023. If the price per unit drops by a factor of ten over three years, the same task that cost ten units of spend now costs one. A business that processes a thousand of these tasks a month sees the monthly bill drop the same way.

Multiply that across every AI step in a marketing workflow, drafting, summarizing, translating, replying, and the cumulative saving is large. The work that justified a careful budget in 2023 becomes background cost in 2026. This is the mechanism. The precise multiplier varies by tool, so the point is the direction, not a guaranteed figure.

Why is now the right window for a business?

Now is the window because prices have fallen far enough that AI services pay back quickly, while the businesses around you are still deciding. Early movers build their customer data, brand voice, and working systems while the cost is low, and they compound that advantage. Waiting does not make the tools cheaper for you in a way that matters. It hands the head start to a competitor.

The cost has crossed a threshold. A chatbot at 150 GEL per month or a content package at 500 GEL per month sits inside the budget of a small Georgian business in a way it did not a few years ago. The barrier that kept AI in the enterprise lane is gone.

How falling model cost flows to service prices

You do not buy tokens directly, you buy a working service. The falling model cost reaches you through the price of that service. When the underlying compute gets cheaper, an agency can offer a chatbot or a content package at a price that would have been impossible before.

A concrete map of what current prices look like:

Service	Starting price	Replaces
AI chatbot	from 150 GEL/month	Hours of manual inbox replies
Content package (basic)	500 GEL/month	Part of an SMM workload
Content package (full)	2000 GEL/month	A multi-channel content team
AI consulting	from 500 GEL	Trial-and-error tool shopping

Set the entry chatbot at 150 GEL per month against the roughly 1500 GEL monthly salary of an in-house SMM hire. The gap is the falling cost reaching your books. The state of AI in Georgian business report covers the full budget bands.

What does not get cheaper

One cost stays flat: the human judgment around the AI. Cheaper models do not remove the need to write a clear brief, review the output, and decide what ships. That work is where the value concentrates as generation gets cheap.

So the saving is real but it is not free money. It pays for itself when you spend the freed budget on direction and review instead of raw production. A business that fires its judgment along with its manual labor gets cheap output that nobody trusts. The AI marketing trends preview covers where the human role moves.

What to do with a falling cost curve

The practical move is to start small while the cost is low and let the saving fund expansion. Deploy one chatbot on your busiest channel. Measure what it recovers. Add content production. Measure again. Each step funded by the last, each priced lower than it would have been a year ago.

Do not wait for prices to bottom out. They keep falling, but the advantage goes to the business already running a system when the next drop arrives, not the one still waiting on the sidelines.

FAQ

Why is AI getting cheaper?

Three reasons combine. Newer models do the same work with less compute, several providers now compete on price, and smaller capable models handle routine tasks that once needed large expensive ones. Together these pushed the price per unit of text down by large multiples from 2023 to 2026.

Will AI keep getting cheaper after 2026?

The direction points down as efficiency improves and competition continues, though no exact future price is guaranteed. The practical takeaway is not to wait for a bottom. The advantage goes to the business already running a working system when the next price drop arrives, not the one still deciding.

How does cheaper AI help my small business?

It brings services into your budget that used to need enterprise spend. A chatbot from 150 GEL per month or a content package from 500 GEL per month now pays back against your missed sales and content backlog. Compare any quote with the roughly 1500 GEL monthly salary of an in-house hire.

If AI is cheaper, why does it still cost me money to use well?

Because the human judgment around it does not get cheaper. Writing a clear brief, reviewing output, and deciding what ships still take effort, and that is where the value concentrates. Cheap generation funds expansion only when you spend the freed budget on direction and review instead of cutting it.