Part 7/11:
For example, at the current costs, AI is primarily used for high-value tasks such as content creation, coding, or customer support, where efficiency gains translate to cost savings. But if costs dropped sharply, AI could be integrated into everyday decisions—optimizing supply chains, personalizing education, or even managing household logistics—leading to an explosion in both volume and variety of applications.
Sam Altman, CEO of OpenAI, stressed that demand isn't just about how much AI is wanted but about affordability. Lower costs unlock a broader market, enabling a host of new innovations and business models.