The Twenty Minute VCBVP Partner, Byron Deeter: The Future of Venture - Why Chanel vs Walmart is BS
CHAPTERS
- 0:00 – 2:24
AI changes the mood: back on offense with a generational tech shift
Harry and Byron open with why the past couple of years felt like a grind in tech—and why AI has flipped the emotional and strategic posture back to offense. Byron frames AI as a once-in-a-generation platform shift that will create outsized outcomes and redefine what’s possible.
- •AI as a historic transition moment that will be remembered for decades
- •From layoffs/survival mode to optimism and rapid innovation
- •Expectation that AI adds “a zero” to market sizes and outcomes
- •Why mind-blowing demos matter again for builders and investors
- 2:24 – 3:57
Defensibility vs compressed innovation: where value accrues in the AI stack
Harry presses on the ‘transience of wow’ and whether defensibility is disappearing. Byron argues the real change is a compressed innovation cycle: top teams iterate faster and pull away, while value can still be built at multiple layers—from foundation models to applications.
- •Innovation pace is compressed; winners iterate at mind-boggling speed
- •Foundation models may become ‘commodities’ but can still be huge businesses (AWS analogy)
- •Significant value capture exists at multiple layers above models
- •Commoditization doesn’t necessarily imply unattractive economics
- 3:57 – 5:29
Margins, capex, and underwriting the future gross margin profile
The conversation shifts to how investors should evaluate margins when AI businesses can be capital intensive early. Byron emphasizes investing for the margin profile of the future, citing examples where early gross margins can look ugly before operational leverage and monetization catch up.
- •Focus on future margins vs current reported gross margins
- •Early AI/compute-heavy businesses can have ‘crappy’ early unit economics
- •Historical parallels: Snowflake, Stripe, Twilio, Shopify investing ahead of leverage
- •Venture underwriting is not near-term cash-flow based
- 5:29 – 8:24
Dilution and giant rounds: owning less of much bigger winners
Harry challenges the venture ‘rules’ around ownership targets in a world where category leaders raise billions. Byron explains why Bessemer is comfortable being a smaller owner in potentially trillion-dollar outcomes, accepting dilution if the upside is truly generational.
- •Large AI companies require massive capital; traditional 20% ownership is harder
- •Bessemer’s approach: meaningful dollars deployed even at smaller percentage ownership
- •Rationale: the bet is on 30x-type outcomes, not 3–4x after dilution
- •Stakes and power-law outcomes are higher; some can still go to zero
- 8:24 – 9:43
Beyond the top 10 deals: why the rest of venture still matters
With funding concentrated in a handful of mega-deals, Harry asks if investing outside the top is still rational. Byron argues the ecosystem will create hundreds of venture-scale companies with 10x to 100x outcomes around the foundational platforms.
- •Funding concentration skews the headline numbers
- •Ecosystem effects: many companies will be built ‘in and around’ the LLM giants
- •Power law still applies, but mid-tier outcomes can be excellent
- •Venture landscape remains broad despite extreme concentration
- 9:43 – 11:57
Vertical SaaS isn’t dead—AI expands TAM and strengthens moats
Harry worries vertical SaaS is no longer ‘sexy’ versus AI-native plays. Byron says vertical SaaS remains compelling, and AI becomes a foundational unlock similar to payments expansions in prior cycles—deepening products and widening markets.
- •Vertical SaaS continues through cycles; contrarian opportunity when it’s out of fashion
- •AI increases the importance of data models, connectivity, collaboration, and marketplaces
- •AI can ‘double the TAM’ like payments did for Toast/Shopify-style outcomes
- •Examples: ServiceTitan, MaintainX, real estate workflows benefiting from copilots
- 11:57 – 15:05
Incumbents vs challengers in the AI wave: platform, data, and distribution advantages
Byron explains why this AI wave differs from the original cloud shift: incumbents now have meaningful platform and data advantages. He expects nimble incumbents to compete hard, though top challengers can still win with execution and innovation.
- •Cloud 1.0 had licensing/on-prem dislocations that favored challengers
- •AI is an extension of cloud; incumbents keep distribution and data advantages
- •Fast-moving incumbents can ‘make a run’ at leadership in the next cycle
- •Case studies: Canva and Intercom acting like incumbents while disrupting themselves
- 15:05 – 18:15
AI moves into labor budgets: support automation, healthcare workflows, and Epic’s response
The discussion turns to whether AI spending shifts from IT budgets into labor budgets. Byron says it’s already happening, pointing to real productivity and quality gains (e.g., support automation) and major healthcare workflow opportunities even as incumbents like Epic push back.
- •AI is increasingly paid for out of labor/services budgets, not just IT
- •Intercom’s Fin as a ‘win-win’: higher deflection and higher NPS
- •Early vertical focus: accounting, legal, medical—reducing paperwork and busywork
- •Epic’s response highlights incumbent defense; long-term need for open data access
- 18:15 – 23:37
Workforce disruption vs opportunity creation: micro-businesses and historical parallels
Harry raises concerns about job displacement for younger workers; Byron counters with historical analogies (steel, switchboards) showing disruption followed by new industries and roles. He predicts micro-companies achieving huge scale and broad benefits in education and science, while acknowledging real transitional pain.
- •More revenue with fewer employees is emerging across leading companies
- •Prediction: 10-person companies reaching billion-dollar valuations
- •Historical tech disruptions displaced roles but expanded the economy later
- •AI benefits: education (personal tutors), healthcare, and accelerated science
- 23:37 – 29:16
Treble-treble-double-double is too slow: AI ‘supernovas,’ PLG, and efficiency math
Harry questions whether classic SaaS growth heuristics still apply. Byron says top AI companies are scaling far faster (zero to $100M in ~1.5 years) and that product-led growth matters more than sales, while efficiency and unit economics still need to pencil out over time.
- •New growth archetypes: ‘supernovas’ and ‘shooting stars’ with rapid revenue ramps
- •Enterprise products can now see consumer-like adoption curves
- •PLG and product pull-through reduce the role of traditional sales/marketing
- •Efficiency still matters: rule-of-X tradeoffs and forward-investing logic
- 29:16 – 34:00
Is progress plateauing? Scaling laws, hardware diversification, and near-term AGI expectations
Harry asks whether AI improvements will become incremental. Byron expects ‘fits and spurts’ but believes the curve remains strongly up-and-right, with new hardware options and continued scaling unlocking major capability gains over the next 18–24 months.
- •Innovation comes in waves, but the trajectory remains steep
- •Belief in imminent higher-level reasoning capabilities on a short timeline
- •Hardware ecosystem broadening beyond NVIDIA (cloud chips, AMD, etc.)
- •Training and inference cost improvements enable continued product leaps
- 34:00 – 36:49
Pricing discipline, anti-portfolio lessons, and when to pay up
Harry probes how Bessemer ‘breaks discipline’ on price in the hottest AI rounds. Byron explains they pay market-clearing prices when the long-term economics work, then shares painful lessons (e.g., Tesla miss) about over-weighting near-term unit economics and underestimating founder force-of-nature effects.
- •Bessemer isn’t value investing; will pay up for market leaders
- •Key filter: path to self-sustaining unit economics and scale
- •Anti-portfolio humility and learning: Tesla as a miss driven by near-term econ doubts
- •Recognizing exceptional founders who can unlock new arcs over time
- 36:49 – 44:39
Liquidity in extended private markets: secondaries, IPOs, and valuation legitimacy
The conversation moves to liquidity: whether to sell, how to think about secondaries, and what happens if IPO markets reopen. Byron argues the stigma around secondaries is wrong given how long companies stay private, and he expects improving IPO conditions while asserting top private marks are largely ‘real.’
- •Secondaries should be normalized as companies remain private much longer
- •IPO market needs to reopen for healthy capital flows; optimism for next year
- •Private markets should logically trade at a liquidity discount; that dynamic has inverted
- •Cloud 100 scale: over $1T in private market cap among top companies; top marks seen as legitimate
- 44:39 – 49:57
Scaling the venture firm: big checks, re-underwriting, and avoiding over-funding traps
Harry asks about Bessemer’s comfort writing $200M checks and how that changes decision-making. Byron describes processes to re-underwrite winners, fight mental inertia, and double down only when a fresh 10x still exists—while warning about ‘foie gras’ over-funding that can distort companies.
- •Scale matters to support companies through larger, later private rounds
- •Psychological hurdle: paying up again after a big mark-up
- •Internal ‘century team’ re-underwrites follow-on decisions to validate new upside
- •Over-funding risk: seductive capital can cause waste and strategic distortion
- 49:57 – 58:20
Mistakes and methodology: TAM underestimation, scenario planning, and founder adjacencies
Byron reflects on major mistakes: missing TAM expansions (e.g., payments) and not doubling down enough in winners. He defends scenario analysis as necessary but admits upside cases are often too conservative; ultimately conviction comes from founders plus believable adjacency paths to expand the market.
- •Regrets: underestimating TAM and not following on aggressively enough
- •Shopify/Twilio ownership vs lower ownership in later vertical SaaS winners
- •Scenario planning is required, but real winners often exceed modeled upside
- •Investment lens: killer wedge + credible adjacencies that can expand into massive value
- 58:20 – 1:09:57
Why ‘Chanel vs Walmart’ is the wrong framing: venture as investment-banking-like platforms + specialists
Harry asks if venture has become purely a scale game, using the ‘Chanel vs Walmart’ metaphor. Byron rejects the Walmart framing but agrees scale is increasingly important; he compares the future to investment banking, where global platforms coexist with focused specialists and the middle gets squeezed.
- •Scale matters, but not as ‘low-cost Walmart’—more like full-service global platforms
- •Bessemer’s multi-office, multi-stage approach as a platform strategy
- •Room for specialists (sector/geography), but the ‘middle’ will be challenged
- •Sector funds risk ossification—Bessemer prefers dynamic roadmaps and capital allocation across themes
- 1:09:57 – 1:23:11
Tough markets and next liquidity sources: PE rollups, M&A revival, IPOs, and secondary comfort
Closing topics cover whether private equity can ‘save the day’ with acquisitions and rollups. Byron forecasts liquidity returning through multiple channels—PE consolidation, renewed strategic M&A, reopened IPOs, and broader acceptance of secondaries—while acknowledging mixed impacts from recent late-stage capital behavior.
- •PE will find opportunity in inefficient, high-gross-margin ‘long-in-the-tooth’ companies
- •Strategic M&A likely returns as incumbents must buy to stay relevant
- •IPO reopening is necessary; secondaries may become a bigger pressure valve
- •Mixed verdict on late-stage aggressors: innovation vs over-funding and weak governance
