The Economic Case for Generative AI and Foundation Models: Transforming Industries and Creating New Markets
Hatched by Kazuki Nakayashiki
Aug 17, 2023
5 min read
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The Economic Case for Generative AI and Foundation Models: Transforming Industries and Creating New Markets
Introduction:
Generative AI, powered by foundation models, is poised to have a significant economic impact across various industries. The potential of this technology to drive transformation and create new markets is directly linked to the median wage of each industry. However, while AI has shown impressive results, it has struggled to establish viable business models in private markets. The high costs of achieving and maintaining accuracy, coupled with the fast-following nature of competitors, have hindered the growth of AI companies. Additionally, the need for human involvement to ensure accuracy in AI-powered solutions has proven to be costly and difficult to scale.
The Cost Factor and Human Involvement:
The global average wage stands at approximately $5 an hour, with some regions having an average wage of less than a dollar a day. Interestingly, when it comes to tasks involving perception and other fundamental human capabilities, humans are often more cost-effective than AI solutions. While AI has surpassed human capabilities in certain well-defined tasks, humans still outperform AI in long-tail problems that require contextual understanding. This reliance on human involvement can become a burden on gross margins and hinder scalability.
The Rise of Startups and Emergent Consumer Needs:
Startups have historically capitalized on emerging consumer needs and behaviors to drive market shifts. Fringe secular movements often pave the way for startups to cater to unmet demands without facing competition from established incumbents. This was evident in the emergence of personal microcomputers, the Internet, smartphones, and the cloud. The same fertile ground exists for generative AI, as it addresses the creative content generation and companionship needs of users.
Unprecedented Adoption and Revenue Growth:
Generative AI solutions have witnessed unprecedented levels of adoption and revenue growth. ChatGPT, a language model, reached over 230 million monthly active users within just six months of its launch. Social platforms like Facebook took years to achieve similar user numbers. Similarly, companies like Midjourney and Character.AI experienced rapid growth in user engagement and revenue, showcasing the economic viability of generative AI.
The Potential for New Markets:
Sources
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