Aug 25, 2025, 10:00 AM ETFireside Chat, Interview

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

The current AI phase involves stakes "way higher than ever," with investors "adding a zero" to their expectations for business valuations.
Byron Deeter projects a wave of "trillion-dollar businesses" emerging from the current AI cycle, a scale previously unimagined.
Investment horizons have compressed dramatically; companies like Anthropic and Perplexity are now targeting zero-to-$100M ARR in 18 months, compared to the traditional multi-year SaaS ramp.
Deeter estimates the top three LLMs (Anthropic, OpenAI, X) will raise $100 billion collectively within a six-month period, a figure deemed "inconceivable" by historical standards.
The market is skewing toward massive concentration, with 40% of venture funding currently directed toward just 10 deals.

Bessemer is shifting from strict "value investing" to paying "market-clearing prices" to secure positions in top-tier deals, even at deep-stage valuations.
The firm has normalized investing nine-figure sums in single companies like Anthropic and Canva, accepting that these positions may result in dilution to secure a seat at the table.
Deeter admits to a "mental trap" where past success makes it difficult to reinvest at higher multiples, noting that founders should be willing to pay up fast to maintain ownership in their best performers.
Bessemer requires all investment recommendations to include scenario analysis, though the "qualitative overlay" of a partner's gut belief often overrides conservative 3x return math in favor of 100x "supernova" potential.
The firm is moving away from sector-specific "thematic funds" (except for deep sectors like healthcare and cybersecurity) to avoid getting ossified, preferring to optimize capital allocation dynamically across sectors and stages.
Deeter identifies "underestimating Total Addressable Market (TAM)" as the primary reason missed investment opportunities, citing the payments expansion at Toast and Service Titan as examples of unlocking hidden value.

AI is transitioning from a "technology budget" line item to a "labor budget" line item, fundamentally displacing manual, error-prone work in fields like healthcare, legal, and accounting.
The era of "micro-businesses" is emerging, with Deeter predicting 10-person companies reaching billion-dollar valuations through AI leverage.
Examples of labor displacement coupled with revenue growth include Shopify (91% revenue growth with a 30% workforce reduction) and Palantir's aggressive workforce optimization.
Support and customer service are identified as "killer use cases" for AI, where automated interactions (e.g., Intercom's Fin product) have achieved 90% deflection rates while increasing Net Promoter Scores (NPS).
Incumbents like Epic in healthcare are forced to compete with agile AI startups, creating a "thousand flowers bloom" environment for innovation if data remains accessible.
Deeter argues that the fear of a "train" for 23-30 year olds entering the workforce is part of a historical cycle; while disruptive, technology ultimately creates new creative opportunities (e.g., micro-film producers, AI-assisted scientific research).

The private market extension is unsustainable; Deeter predicts a healthier IPO market by late 2024/early 2025, driven by the need for liquidity in trillions of dollars of private enterprise value.
Bessemer is reconsidering its historical stance against secondary liquidity, viewing it as a necessary tool for mid-stage companies staying private for extended periods.
The "wonderful state-endorsed monopoly" of Epic is expected to face competition, particularly in patient care and diagnostics where AI can accelerate a century of research in a decade.
Deeter anticipates a "fourth bucket" of liquidity will emerge from secondary transactions, PE roll-ups, and big M&A, as public markets become more receptive to antitrust-adjacent deals.
Private market valuations are now "legitimate" for the top 100 cloud/AI companies (totaling over $1T in cap), with the "walking wounded" largely cleared out below the top tier.
Deeter believes PE will find significant opportunity in "long-in-the-tooth" SaaS companies due to their high gross margins and operational inefficiencies left by growth-mode focus.

The "scream the freaking loudest" strategy of raising massive capital quickly is effective in some AI spaces to "suck all the air out of the VC room," but product-led growth and viral adoption are often the primary drivers of scale.
Traditional sales models (e.g., heavy SDR teams) cannot support the "zero to 100 in two years" growth curves seen in modern AI; product velocity replaces human sales cycles.
Deeter identifies himself as a "team and gut" investor who prioritizes working with founders over granular financial detail, acknowledging this as a style he will not change.
The "foie gras" analogy is used to describe the danger of overfunding, where excessive capital can "choke" a company, leading to inefficient spending rather than value creation.
Deeter admits that "time diversification" is the most critical controllable factor for VCs, warning against deploying capital aggressively during peak market euphoria (e.g., 2021).
Bessemer is adopting a "roadmap" culture where partners constantly iterate on investment hypotheses to avoid being left behind by shifting market trends.

Best Sourcer: Jeremy Levine, for his ability to identify contrarian, unique deals.
Best Picker: David Callan, for finding high-conviction outliers in "weird places" (e.g., Rocket Lab, Auth0).
Top Seed Firm: LAUD Ventures (Pete Cincini), noted for deep engagement at the inception stage in classrooms and labs.
Top Early-Stage Firms: First Round, Uncork, and Jason Lemkin's firm, praised for their long-term track records and alignment.
Top Growth Firm: MarTech (Maritec) or Sequoia, cited for their culture and ability to mint "platinum record" outcomes.
Largest Investment: A bucket including Twilio, StubHub, Canva, and Anthropic, where checks now regularly reach the "hundreds of millions."
Biggest Regret: Underestimating the TAM for Service Titan and Procore, leading to weaker post-IPO ownership percentages.
Future Outlook: Deeter expects AI to drive continuous exponential gains for the next 18-24 months, moving beyond incrementalism toward higher-level reasoning.