Why Your AI Advantage May Be Expiring Faster Than You Think

Nine in ten organisations now use AI in at least one business function, yet fewer than four in ten can attribute measurable profit impact from it. Industry analysts highlight two key rates that determine AI value: how fast model capabilities improve, and how quickly organisations can absorb and deploy those capabilities into real business outcomes. Companies that own the distribution layer — like Microsoft with Office, Teams, and Azure — tend to capture more lasting value than those that merely rent powerful models. Cautionary examples include Chegg, which lost over 95% of its market value after ChatGPT rendered its homework-solution library redundant, and Jasper, which raised $125 million on a writing tool that free AI products quickly made obsolete. The durability of any AI-driven competitive edge depends on whether the underlying scarce layer — be it regulatory approval, physical infrastructure, or deep switching costs — can outlast the pace at which general-purpose models commoditise it.