AI Token Use May Jump 78% as Falling Prices Fail to Cut Costs
A new Accenture report warns that a massive surge in AI token consumption could offset falling prices, increasing overall business costs.
Businesses investing in artificial intelligence may find that their bills aren't shrinking as fast as they hoped. While the cost of individual AI tokens is expected to drop, a massive surge in AI token use is predicted to offset these savings, potentially leading to higher overall expenditures for companies.
According to a recent research report by Accenture, the landscape of AI spending is becoming a paradox of lower unit costs and skyrocketing consumption. The report suggests that while average AI token prices are projected to decline by approximately 19 per cent over the next 24 months, the actual volume of tokens consumed is expected to jump by a staggering 78 per cent.
The Price Paradox: Why Lower Costs Don't Mean Lower Bills
The core finding of the Accenture report is a warning to corporate leaders: lower unit costs do not necessarily translate into lower overall spend. As AI becomes cheaper to use per request, businesses are likely to integrate it more deeply into their operations, leading to a volume of usage that outweighs the price drops.
This creates a significant challenge for financial planning. Accenture highlights that companies need to shift their focus from merely tracking the price of tokens to assessing the total cost of AI-enabled work.
The Visibility Gap in AI Spending
One of the most concerning revelations in the study is the lack of financial clarity among organizations. The research found that only 35 per cent of organizations are currently able to precisely calculate the cost per business outcome for their highest-volume AI use case.
This indicates that a majority of businesses are deploying AI without a clear picture of the actual returns on investment (ROI) they are receiving, making them vulnerable to spiraling costs as usage grows.
How Companies Plan to Use Potential Savings
The report also explored how organizations would react if AI prices were to drop even more significantly—by 25 per cent or more. The results suggest that very few companies intend to simply pocket the savings:
- Only 5 per cent of organizations would retain the savings.
- 42 per cent would use the lower costs to expand AI access to a larger number of employees.
- 35 per cent would introduce new AI applications that were previously deemed too expensive to implement.
Strategic Reallocation of Human Capacity
As AI takes over more routine and analytical tasks, the focus is shifting toward what humans will do with their newly freed-up time. Accenture notes that the goal for most businesses is augmentation rather than replacement. In fact, 70 per cent of surveyed organizations stated that AI is being used to augment human effort, while only 4 per cent said it is primarily being used to replace workers.
Where is the "Released Capacity" Going?
Executives are already planning how to redirect the time and energy saved by AI integration:
- 60 per cent of executives plan to move this capacity toward higher-value or more strategic work.
- 51 per cent intend to invest this capacity into growth initiatives.
Accenture concludes that for AI to be truly successful, businesses must continuously reassess the allocation of work between humans and machines, rigorously track the cost of delivering business outcomes, and reinvest their saved capacity into areas that create the highest possible value.