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The Unstoppable Growth Of Generative AI
By Jim McGregor Share Save Comment
In a remarkable display of exponential growth, the demand for generative AI has surpassed even the most ambitious forecasts. A recent report by Tirias Research reveals that the predicted token output in 2024 stood at an astonishing 667 trillion tokens, shattering all expectations.
The catalyst for this explosive growth lies in the advent of “reasoning” models, specifically ChatGPT-o1, which was released in September 2024. This groundbreaking technology not only answers questions but also reasons through them, producing thoughtful and logical responses that have captivated users worldwide. As a direct result, there has been an unprecedented increase in user engagement, with an astonishing 22x growth in the time spent generating content via these models.
Furthermore, Tirias Research highlights the remarkable advancements in AI innovation. In just three years, we have witnessed the introduction of transformers (2017), ChatGPT-1 (2022), and now reasoning models (2024). This rapid pace of innovation has led to a significant increase in the size and complexity of AI models, which, unfortunately, outpace hardware improvements.
As such, Tirias Research forecasts continued growth in the number of users, frequency of use, time spent using these systems, and the amount of AI-generated content. By 2030, we expect an astonishing 77,000 trillion tokens to be generated annually.
This relentless growth of generative AI will have far-reaching implications for various sectors. With the rise of agentic APIs, AI agents are poised to become ubiquitous, allowing them to operate independently and collaborate with other services, ultimately revolutionizing the way we work and interact.
Moreover, as AI-generated images and video content begin to surpass text-based content in popularity, it is likely that this shift will prompt a significant increase in media-related usage.
Source: www.forbes.com
