NAVIGATING TOMORROW
Autopilot is a research-driven investment firm focused on the future of technology.
Artificial intelligence is the next technological inflection point.
Humans are paid $32 trillion annually to write software code, review contracts, and perform other types of knowledge work. AI does much of it better, cheaper, and faster than humans.
We believe nearly every industry, from manufacturing to accounting, will be transformed by AI-enabled businesses over the coming decades. Our mission is to partner with the companies who lead the way.
Throughout history, extraordinary founders have built companies around technological inflection points. John D. Rockefeller built Standard Oil into one of the most valuable companies in history and became the paramount figure in the developing oil industry. Jeff Bezos recognized the potential of the Internet early on and left his lucrative job in finance to pioneer e-commerce with Amazon, now a trillion-dollar company. Mark Zuckerberg built Meta (Facebook) during the rapid growth in global connectivity and grew his social media empire to 3.6 billion people - almost half the world's population.
Artificial intelligence (AI) is the next technological inflection point, and we believe the opportunity is bigger than those presented by oil, the internet, or mobile.
In our view, AI fundamentally changes the addressable market for software. While software companies have historically competed for the $1 trillion spent annually on enterprise software budgets, AI addresses the $32 trillion that humans are paid annually to perform knowledge work that is increasingly automatable. AI coding assistants have already more than doubled the productivity of software engineers, while generative models can create graphic designs 1,800 times cheaper and 100 times faster than professional human designers. Meanwhile, the financial services industry is one of the largest economic sectors globally, but even after a decade of intense fintech innovation, over 90% of revenues are still collected by legacy incumbents, opening the door for increased value capture by new entrants leveraging AI.
Beyond software engineering, design, and financial services, many markets that we are the most excited about do not exist yet and, therefore, have no competition, or currently belong to stale incumbents. We believe the next Standard Oil, Amazon, or Facebook will be a company that uses AI to create or transform a large, growing industry. Our mission is to partner with the companies who lead the way.
team
Founder, Managing Partner
Founder, Managing Partner
MEDIA
MEDIA
The podcast discusses the past, present, and future of automation and its impact on our biggest industries. Guests include Sergiy Nesterenko of Quilter, Aaron Slodov from Atomic, and Jordan Domash from Responsiv. Host Will Summerlin is the Founder and Managing Partner at Autopilot.
This podcast is part of the Turpentine podcast network. Learn more: turpentine.co
In this episode of the Autopilot podcast, James Kaplan, Chief Technology Officer of McKinsey shares his unique career journey from a history major to a tech leader, discussing the evolution of technology from the .com era to modern AI implementations. James also shares the challenges enterprises face in adopting AI, evolving dynamics between startups and incumbents, and provides valuable advice for navigating a successful career in technology.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
—
RECOMMENDED PODCAST:
🎙️ This Won’t Last
Eavesdrop on Keith Rabois, Kevin Ryan, Logan Bartlett, and Zach Weinberg’s monthly backchannel. They unpack their hottest takes on the future of tech, business, venture, investing, and politics.
Apple Podcasts: https://podcasts.apple.com/us/podcast/id1765665937
Spotify: https://open.spotify.com/show/2HwSNeVLL1MXy0RjFPyOSz
YouTube: https://www.youtube.com/@ThisWontLastpodcast
—
LINKS:
http://www.mckinsey.com (McKinsey)
—
X/SOCIAL:
@WillSummerlinAI (Will)
@jmk37 (James)
—
TIMESTAMPS:
(00:00) Preview
(01:40) Intro
(04:20) Lessons from the dot-com era
(07:39) AI adoption in enterprises
(12:50) Value of generative AI
(18:07) Inefficiency in law firms
(21:31) Future of ontologies and knowledge graphs
(24:50) Incumbents vs. Startups: Who will win?
(30:13) Role of gen AI in software development
(41:16) Adoption cycle of AI in enterprises
(44:15) Reflecting on a successful career
(45:12) Wrap
Join our mailing list to stay up to date.