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BVP Partner, Byron Deeter: The Future of Venture - Why Chanel vs Walmart is BS

Byron Deeter is a Partner at Bessemer Venture Partners, and one of the most renowned SaaS investors. Byron has led 19 unicorn investments, including IPO successes like ServiceTitan, Procore, Twilio, Box, Gainsight, Intercom, DocuSign, SendGrid. His portfolio includes eight companies that have gone public. Insane. ---------------------------------------------- In Today's Episode We Discuss: 00:00 Intro 01:18 Why are the stakes in AI higher than ever before? 02:24 Is defensibility in AI gone for good? 08:09 Investing Outside of Top 10 deals 09:43 Is vertical SaaS dead? 15:05 Will AI Reallocate Human Labor Costs? 23:39 Is treble-treble-double-double now too slow for AI companies? 29:16 From Incremental to Exponential: AI’s Scaling Curve 39:17 From Private Valuations to Public Markets 49:57 Reflection on Byron’s Mistakes 58:20 Is venture now just a game of scale? 01:09:57 Can PE Turn the Tide in Tough Markets? 01:13:43 Quick-Fire Round ----------------------------------------------- Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZ... Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast... Follow Harry Stebbings on X: / harrystebbings Follow Byron Deeter on X: / bdeeter Follow 20VC on Instagram: / 20vchq Follow 20VC on TikTok: / 20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/con... ----------------------------------------------- #20vc #harrystebbings #byrondeeter #bessemer #partner #vc #ai #figma #perplexity #ipo #saas

Byron DeeterguestHarry Stebbingshost
Aug 24, 20251h 23mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Byron Deeter on AI Supercycles, Venture Scale, and Trillion-Dollar Bets

  1. Byron Deeter argues that the AI wave has effectively “added a zero” to venture outcomes, creating a realistic path to multiple trillion‑dollar companies and radically compressing the timeline from zero to $100M+ in revenue.
  2. He explains how this changes venture capital dynamics: foundation models may look commoditized but can still be phenomenal businesses, app-layer AI can justify heavy early capex and dilution, and margins must be judged on future unit economics, not current P&Ls.
  3. Deeter remains bullish on vertical SaaS and incumbent software players that aggressively self‑disrupt with AI, while acknowledging intense power-law dynamics, heavy concentration of capital in a few mega-deals, and higher stakes than prior tech cycles.
  4. He also reflects on firm strategy: breaking traditional ownership and pricing discipline for generational AI companies, the need for scale and global platforms in venture, the role of secondaries and IPOs in restoring liquidity, and the importance of time diversification and reinvention for investors.

IDEAS WORTH REMEMBERING

5 ideas

AI is creating unprecedented upside, with realistic paths to trillion‑dollar outcomes.

Deeter believes the industry underestimated the scale of the current AI wave; companies like Anthropic could plausibly reach trillion‑dollar market caps, fundamentally reshaping venture’s power-law distribution and increasing both risk and potential reward.

Short-term margins in AI are often misleading; focus on future unit economics.

Early AI leaders may show weak or even negative gross margins due to massive capex and model training costs, but Deeter evaluates them on how each model or product cohort monetizes over time, not on the current, noisy P&L.

Vertical SaaS is far from dead; AI, payments, and marketplaces can massively expand TAM.

He cites companies like ServiceTitan, Toast, and Shopify, where adding payments doubled their opportunity, and argues AI will be a similar unlock—supercharging workflows, adding copilots, and deepening defensible moats in specific industries.

AI is already penetrating labor budgets, not just IT budgets.

Products like Abridge in healthcare or Intercom’s Fin in support are directly automating human work, improving NPS while cutting headcount needs; Deeter says the question of whether AI will tap labor budgets is “already answered.”

Founders must recalibrate growth expectations beyond “treble, treble, double, double.”

In AI, some “supernova” companies hit $100M ARR in 1.5 years and can scale to billions almost as fast; while rare, these new benchmarks mean classic SaaS growth rules are no longer the upper bound in the most competitive AI categories.

WORDS WORTH SAVING

5 quotes

We’ve probably added a zero to everything. I think there’s going to be a lot of trillion‑dollar businesses that are created from this.

— Byron Deeter

The stakes are way higher than they’ve ever been, and these businesses, in some cases, could still go to zero.

— Byron Deeter

I don’t worry about commoditization in the sense of price erosion. The best business in the history of software is AWS, and people call that a commodity.

— Byron Deeter

The question of whether AI moves into the human labor budget is not even a debate anymore. It’s over.

— Byron Deeter

I thought we understood this next phase we were going into… and very sincerely, we’ve probably added a zero to everything.

— Byron Deeter

The AI supercycle and emergence of potential trillion‑dollar companiesCommoditization, margins, and capital intensity in AI (models and apps)Vertical SaaS, incumbents vs challengers, and AI as a new TAM unlockLabor displacement, productivity, and the shift from tech budgets to labor budgetsHypergrowth benchmarks (supernovas vs traditional SaaS growth rules)Venture firm strategy: ownership, doubling down, pricing discipline, and scaleLiquidity, IPO markets, private secondaries, and the role of PE and M&A

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