As artificial intelligence becomes more widely adopted, businesses are finding that charging for AI services is far more complex than expected.
While users enjoy free access to tools like ChatGPT, Claude, and Gemini, the companies behind these platforms are investing billions of dollars in developing Large Language Models (LLMs) and are now looking for sustainable ways to recover those costs.
Paid AI subscriptions offer advanced features such as coding and business automation, while many third-party companies are building AI agents designed for specific business tasks. However, setting a fixed price for these services remains difficult because AI usage depends heavily on token consumption.
Tokens are the mathematical units that LLMs use to process prompts and generate responses. The number of tokens consumed can vary based on the prompt, the AI model used, and the complexity of the task. In AI agent systems, where multiple agents work together, token usage becomes even more unpredictable.
Although the cost of individual tokens has dropped significantly, their overall consumption is rising rapidly. Goldman Sachs estimates that monthly token usage will grow 24x between 2026 and 2030, reaching 120 quadrillion tokens as businesses increasingly adopt AI agents.
Many organizations struggle to track token usage until they receive unexpectedly high bills. Reports suggest that even major companies have had to limit employee use of AI coding tools after exceeding token budgets much faster than expected.
To manage costs, some smaller businesses rely on flat-fee personal AI subscriptions, though industry experts believe this approach is unlikely to remain viable. Others recommend selecting the right AI model for each task and creating more detailed prompts to improve efficiency and reduce unnecessary token usage.
The challenge becomes greater when AI features are rolled out to thousands of users. Beyond software development, businesses also need tokens for testing, security, compliance, and AI guardrails, causing costs to rise further.
Experts believe AI can still deliver significant business value despite higher costs. However, software providers are still working out the best pricing models. Options being considered include increasing subscription fees, charging based on results, or offering bundled AI services. The uncertainty is made worse because LLM providers frequently update their own pricing, making it difficult for businesses and customers to plan long-term budgets.
Also read: Viksit Workforce for a Viksit Bharat
Do Follow: The Mainstream LinkedIn | The Mainstream Facebook | The Mainstream Youtube | The Mainstream Twitter
About us:
The Mainstream is a premier platform delivering the latest updates and informed perspectives across the technology business and cyber landscape. Built on research-driven, thought leadership and original intellectual property, The Mainstream also curates summits & conferences that convene decision makers to explore how technology reshapes industries and leadership. With a growing presence in India and globally across the Middle East, Africa, ASEAN, the USA, the UK and Australia, The Mainstream carries a vision to bring the latest happenings and insights to 8.2 billion people and to place technology at the centre of conversation for leaders navigating the future.