Invest Like the Best with Patrick O'Shaughnessy

Eric Vishria - A Decade of Lessons Investing in Software & Hardware - [Invest Like the Best, EP.486]

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Key takeaways

  • Market size and potential for multiple winners remain vast; the rise of AI and cloud infrastructure has shifted competitive dynamics, making room for several successful players rather than a monopoly.
  • Understanding the physical and technical complexities of hardware and infrastructure is crucial for investing in next-generation chips and AI hardware advancements.
  • The adoption of AI in enterprise is accelerating, but companies must act as 'AI Sherpas,' guiding clients through data limitations, regulatory hurdles, and integration challenges.
  • Business model innovation, similar to SaaS subscription models, is a key driver of value in AI and other tech sectors, requiring new thinking around revenue and differentiation.
  • Successful founders and investors are nimble, deeply curious, and question traditional assumptions, focusing on market differentiation and high-quality team fit.
  • Energy supply and costs are major concerns for scaling AI, as compute demands translate into significant energy needs, impacting the broader economic and geopolitical landscape.
  • The most extraordinary successes often come from working with exceptional teams on rare, unbounded opportunities — luck favors those who keep many balls close to the pen and persist through challenges.

Summary

Learning from Market Giants and Historical Lessons

Eric Vishria reflects on the lessons learned from the rise of AWS and its influence on the enterprise and AI markets. He discusses how cloud infrastructure companies initially struggled with investor skepticism, yet ultimately proved to be foundational and highly valuable. He emphasizes that many believed a few scale winners would dominate, but the market size was so vast that multiple players succeeded. The discussion highlights the importance of understanding the big picture, seeing the potential for multiple winners, and recognizing that the market has continuously evolved, affecting how founders and investors should strategize.

The Shift in Competitive Frontiers and AI Adoption

The conversation explores how the landscape of AI and enterprise adoption differs from earlier cloud adoption. Eric notes that enterprises are now eager to experiment with AI but face challenges such as data limitations, infrastructure demands, and regulatory hurdles. He emphasizes the increasing importance of domain expertise and technical understanding that bridges customer problems with AI capabilities. The shift from viewing AI as a threat to a significant growth opportunity requires a reevaluation of traditional approaches, and companies need to act as 'AI Sherpas' to guide enterprise clients through this transition.

Technology and Hardware: The Next Frontiers

Eric discusses the history and future of hardware investments, focusing on the complexities of building advanced chips, exemplified by Cerebras. He highlights the tremendous technical and supply chain challenges involved in developing new hardware, and the importance of understanding physics, manufacturing, and scalability. He emphasizes that the next big wave involves specialized AI chips and architectures, which could create significant winners in the hardware space. The talk underscores that sustained innovation in hardware depends on solving longstanding physical and logistical constraints.

Business Models, Market Dynamics, and the Future of Investing

The episode covers how the nature of business models is evolving with AI, especially in SaaS and semi-conductor industries. Eric advocates for high conviction, partnership-based investing in companies with unbounded opportunities. He notes that recent market behaviors, such as multiple compressions, underscore the importance of choosing differentiated companies with strong leadership. The discussion highlights that the biggest returns come from working with exceptional teams on rare opportunities, and that a broad, optimistic view of market potential remains valid despite short-term headwinds.

Cultural Shifts in Leadership and Strategic Thinking

Eric points out that successful founders and investors are increasingly nimble, adaptable, and deeply understanding of both customer needs and AI capabilities. He stresses the importance of questioning traditional lessons and assumptions, being bold, and embracing 'productive naivete.' The session emphasizes that real differentiation now depends less on technical roles alone, and more on taste, curiosity, and the ability to bridge gaps in AI and customer value — traits that are vital for navigating the new frontier.

Sponsors

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  • Rogo (again) · Rogo is the AI platform for finance, built specifically for Wall Street. It understands your process, connects to your data, and produces real outputs. Check them out at rogo.ai/invest.

Show notes

My guest today is Eric Vishria, a General Partner at Benchmark. 

Eric has spent his career in software and cloud, and few people know the history of these markets as well as he does. What makes him special is his ability to use that history to make sense of today. 

We discuss what the rise of AWS teaches us about AI, what he has learned from investing in Fireworks, Sierra, and Cerebras, and how the criteria for winning have changed for founders and investors. 

Please enjoy my conversation with Eric Vishria.

For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠. 

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Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠.

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⁠Ramp’s⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus.

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Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠. 

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WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel.

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Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest.

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⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠.

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Editing and post-production work for this episode was provided by The Podcast Consultant.

Timestamps:

(00:00:00) Welcome to Invest Like The Best

(00:02:20) Learning the World Through Fireworks

(00:05:42) AWS Was Going to Eat Everything

(00:07:40) The Zero-Sum Thinking Trap

(00:09:01) Comparing Cloud and AI Adoption

(00:11:03) Becoming Enterprise's AI Sherpa

(00:13:05) Building Sandcastles

(00:14:55) The Return to Being Technical

(00:17:13) The Shifting Competitive Frontier

(00:22:10) Why the Old Playbook Fails

(00:27:53) Energy as the Binding Constraint

(00:29:38) The Cerebras Story

(00:37:57) The Virtue of Productive Naivete

(00:39:19) What Robotics Still Needs

(00:45:58) What Makes a Great Board Partner

(00:51:13) Raising A Growth Fund

(00:55:39) What the Big Winners Taught Him

(00:57:37) Hard Work Versus the Hole-in-One

(00:58:38) The Best Reasons to Go Public

(01:01:09) Debates Inside Benchmark

(01:02:16) What If It All Works

(01:03:35) What Geoff Hinton Got Wrong

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