Are traditional software firms at AI risk?

Nearly a trillion dollars in market value vanished from software and services stocks after a Reuters headline framed AI as a potential existential threat to traditional software companies. In this episode of the Derby Mill Series, host Ajay Agrawal leads Rich Sutton, Niamh Gavin, and Suzanne Gildert in a focused discussion on whether that reaction reflects structural risk or market overreach.

Questions discussed:

—How much risk do traditional software firms face from AI?—Was the AI-led selloff in software stocks justified?—How will Gen AI change product cycles and the way organizations run?—At the limit, will the idea of a company, with leadership and employees, even make sense anymore?—How will the incorporation of AI technology into human physiology affect evolution?—Are we heading toward a speciation event that see new classes of humans emerge?

GUESTS AND HOSTS

Ajay Agrawal, co-founder and partner, Intrepid Growth PartnersRichard Sutton, senior advisor, Intrepid Growth Partners, 2024 Turing Award recipient, pioneer of reinforcement learning and professor, University of AlbertaNiamh Gavin, senior advisor, Intrepid Growth Partners, Applied AI scientist and CEO, Emergent PlatformsSuzanne Gildert, founder and CEO, Nirvanic Consciousness Technologies

LINKS

Selloff wipes out nearly $1 trillion from software and services stocks as investors debate AI’s existential threatThreat of New AI Tools Wipes $300 Billion Off Software and Data StocksSoftware Selloff Hits Industry’s BillionairesThe Software Rout Is Spreading Pain to the Debt MarketsMentioned in the episode: The Innovator’s DilemmaSubscribe to The Derby Mill Series at our Substack (main site) or on YouTube, Spotify or Apple PodcastsDerby Mill is created by the team at Intrepid Growth Partners and produced by Ghost Bureau.

NUGGETS

Is the AI-led software selloff justified?

Three experts weigh in on risk, adaptability, and the future of traditional companies.

DISCUSSION POINTS00:00 Introduction to software selloff and AI discussion02:38 Niamh on AI-native approaches and incumbents06:35 Wall Street reaction and software risk08:37 Innovator’s dilemma and challenges10:39 Data moats and Gen AI product cycles11:47 Foundation models capturing end-user workflows14:10 Rich on legacy systems and moats collapsing16:29 Summary: selloff directionally correct17:31 Suzanne on AI-human hybrids and future work20:12 Speciation, societal impacts, and UBI discussion24:41 Niamh and Rich on company adaptation26:06 Episode wrap-up and key takeaways

DISCLAIMER

The content of this podcast is for informational and educational purposes only and should not be construed as marketing, solicitation, or an offer to buy or sell any securities or investments. The opinions expressed in this video are those of the participants and do not necessarily reflect the views of Intrepid Growth Partners or its affiliates. Any discussion of specific companies, technologies, or industries is for illustrative purposes and does not constitute investment advice. Viewers are encouraged to consult with their own financial, legal, and tax advisors before making any investment decisions.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit insights.intrepidgp.com