Startups in the early stages of building generative AI tools should concentrate on specialized verticals such as healthcare, biotech, and legal industries. That’s one key takeaway from a panel discussion earlier this month about the new era of artificial intelligence, hosted by the entrepreneur program TiE Seattle at the Tech Mahindra offices in Redmond, Wash.

Growing Adoption of Generative AI

Two factors have led to the rapid adoption of large language models: accessibility for consumers and the ability to interact with these models using natural language. Despite a broader funding downturn for startups, most venture capitalists are excited about the opportunities of investing in generative AI startups. At the enterprise level, organizations are training large language models on their own data to offer different use cases to their employees and customers.

Challenges and Pushback on Generative AI

The University of Washington’s Ankur Teredesai said AI has “shaken academia to its core.” Educators must balance preparing students to use the latest generative AI technology for productivity while also raising awareness about its potential pitfalls. The panelists agreed that there should not be a moratorium on experiments regarding generative AI. However, they emphasized the need for responsible frameworks and regulatory guidance that can evolve alongside the new technology.

How Startups Can Counter Position in the Generative AI Market

Generative AI’s recent advancements have made it cheaper and less time-consuming for startups to use large language models. However, Sabrina Wu, a Madrona Venture Group investor, warned that just “wrapping up GPT-3” into a tech stack is not enough. In order to build a successful and defensible company, she said, startups must be solving a novel problem while understanding their target customer needs.

Seamless Integration of AI in User Experience

Wu stressed the importance of user experience for generative AI startups, advising them to create a platform that solves a problem without being intrusive. She cited Gmail’s autocomplete feature as an example of a seamless integration of AI.

As generative AI continues to evolve, startups have the opportunity to carve out their own space in the market by focusing on specialized industries and addressing unique challenges. By doing so, they can position themselves as innovators and disruptors in the generative AI landscape.