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David Haber on Building at the Intersections: From Bond Street to Andreessen Horowitz

The High Flyers Podcast with Vidit Agarwal

1:14:40

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THESIS

AI-native software companies that lead with workflow automation and embed deeply within traditional industries represent the dominant investment opportunity, as they access labor spend rather than IT budgets while building defensible data flywheels through outcome-based learning loops.

AI-native software companies that lead with workflow automation and embed deeply within traditional industries represent the dominant investment opportunity, as they access labor spend rather than IT budgets while building defensible data flywheels through outcome-based learning loops.

AI-native software companies that lead with workflow automation and embed deeply within traditional industries represent the dominant investment opportunity, as they access labor spend rather than IT budgets while building defensible data flywheels through outcome-based learning loops.

ASSET CLASS

ASSET CLASS

SECULAR

SECULAR

CONVICTION

CONVICTION

HIGH

HIGH

TIME HORIZON

TIME HORIZON

5 to 10 years

5 to 10 years

01

01

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PREMISE

PREMISE

Traditional industries remain operationally inefficient despite decades of software adoption

Traditional industries remain operationally inefficient despite decades of software adoption

Financial institutions, law firms, healthcare organizations, and other traditional enterprises continue to run operations with expensive human labor living in Excel, performing manual workflows rather than using software as a modeling tool. These industries historically represented small or difficult markets for software because the products could not actually perform the work—they could only assist humans. The cost structures of these businesses remain dominated by labor spend rather than technology spend, creating massive inefficiency that has persisted for decades.

Financial institutions, law firms, healthcare organizations, and other traditional enterprises continue to run operations with expensive human labor living in Excel, performing manual workflows rather than using software as a modeling tool. These industries historically represented small or difficult markets for software because the products could not actually perform the work—they could only assist humans. The cost structures of these businesses remain dominated by labor spend rather than technology spend, creating massive inefficiency that has persisted for decades.

02

02

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MECHANISM

MECHANISM

AI enables software to perform work, unlocking labor budgets as addressable market

AI enables software to perform work, unlocking labor budgets as addressable market

The fundamental paradigm shift with AI is that software can now actually do the work, not merely assist with it. This transforms the addressable market from narrow IT budgets to the much larger labor spend across every function within traditional enterprises. Companies selling AI-native products that own end-to-end workflows—from intake through outcomes—can embed themselves as systems of record while accumulating proprietary data assets that improve product performance over time. The combination of bottom-up adoption from individual employees using AI tools and top-down board-level urgency around AI creates unprecedented enterprise sales velocity and shorter sales cycles.

The fundamental paradigm shift with AI is that software can now actually do the work, not merely assist with it. This transforms the addressable market from narrow IT budgets to the much larger labor spend across every function within traditional enterprises. Companies selling AI-native products that own end-to-end workflows—from intake through outcomes—can embed themselves as systems of record while accumulating proprietary data assets that improve product performance over time. The combination of bottom-up adoption from individual employees using AI tools and top-down board-level urgency around AI creates unprecedented enterprise sales velocity and shorter sales cycles.

03

03

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OUTCOME

OUTCOME

Vertical AI companies with workflow ownership and data network effects will capture disproportionate value

Vertical AI companies with workflow ownership and data network effects will capture disproportionate value

Companies that lead with software rather than point solutions, deeply embed within customer workflows, become the system of record, and build network effects or proprietary data assets will establish durable competitive advantages. These businesses can demonstrate not just cost reduction but meaningful revenue growth and better outcomes for customers. Industries that were never interesting for software—plaintiff law, home services, healthcare—are becoming the fastest-growing investment opportunities because AI unlocks access to labor economics.

Companies that lead with software rather than point solutions, deeply embed within customer workflows, become the system of record, and build network effects or proprietary data assets will establish durable competitive advantages. These businesses can demonstrate not just cost reduction but meaningful revenue growth and better outcomes for customers. Industries that were never interesting for software—plaintiff law, home services, healthcare—are becoming the fastest-growing investment opportunities because AI unlocks access to labor economics.

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NECESSARY CONDITION

Regulatory frameworks must remain permissive to innovation (avoiding the 'European' model) and open source development must remain unencumbered by downstream liability.

"This new wave of AI companies is growing revenue like just like actual customer revenue, actual demand translated through to dollars showing up in bank accounts at like an absolutely unprecedented takeoff rate."

"This new wave of AI companies is growing revenue like just like actual customer revenue, actual demand translated through to dollars showing up in bank accounts at like an absolutely unprecedented takeoff rate."

77:45

RISK

Steel Man Counter-Thesis

The AI industry is entering a dangerous 'shortage-to-glut' cycle where trillions in infrastructure spend will collide with a deflationary revenue environment driven by state-subsidized Chinese 'dumping' and open-source proliferation. While revenue is growing, the 'messy' reality of enterprise adoption and the threat of regulatory fragmentation (state-level liability laws) could permanently impair the unit economics required to sustain the current valuation multiples.

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RISK 01

RISK 01

Customer Acquisition Cost Death Spiral in AI-Native Fintech

Customer Acquisition Cost Death Spiral in AI-Native Fintech

THESIS

THESIS

The emergence of 50 disparate state-level AI laws creates a catastrophic compliance environment. Specifically, legislation assigning 'downstream liability' to open-source developers (e.g., holding a developer liable if their model is used years later in a nuclear plant failure) would effectively kill open-source development, academic research, and the startup ecosystem.

The emergence of 50 disparate state-level AI laws creates a catastrophic compliance environment. Specifically, legislation assigning 'downstream liability' to open-source developers (e.g., holding a developer liable if their model is used years later in a nuclear plant failure) would effectively kill open-source development, academic research, and the startup ecosystem.

DEFENSE

DEFENSE

The speaker articulates a defensive strategy of investing in companies that lead with software and have potential for network effects, rather than pure financial product companies. The thesis is that software-led approaches with embedded distribution can bypass the CAC problem that plagued product-led fintech companies like Chime, Brex, and Robinhood.

The speaker articulates a defensive strategy of investing in companies that lead with software and have potential for network effects, rather than pure financial product companies. The thesis is that software-led approaches with embedded distribution can bypass the CAC problem that plagued product-led fintech companies like Chime, Brex, and Robinhood.

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RISK 02

RISK 02

Commoditization of AI Capabilities Undermining Competitive Moats

Commoditization of AI Capabilities Undermining Competitive Moats

THESIS

THESIS

Chinese competitors (like DeepSeek) are releasing state-of-the-art models as open source, potentially as a strategic move to 'dump' subsidized product into the market. This commoditizes the intelligence layer immediately, undercutting the high-margin business models of Western incumbents who rely on high prices to fund R&D.

Chinese competitors (like DeepSeek) are releasing state-of-the-art models as open source, potentially as a strategic move to 'dump' subsidized product into the market. This commoditizes the intelligence layer immediately, undercutting the high-margin business models of Western incumbents who rely on high prices to fund R&D.

DEFENSE

DEFENSE

The firm employs a portfolio approach, betting on multiple contradictory strategies simultaneously (open vs. closed, big vs. small models) to hedge against any single market structure winning out.

The firm employs a portfolio approach, betting on multiple contradictory strategies simultaneously (open vs. closed, big vs. small models) to hedge against any single market structure winning out.

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RISK 03

RISK 03

Talent Depth Constraint in New York Ecosystem

Talent Depth Constraint in New York Ecosystem

THESIS

THESIS

The industry is in a classic 'shortage causes glut' cycle where massive over-investment in chips and data centers is occurring. If the 'messy' adoption process and application layer revenue do not scale linearly to absorb this capacity, the industry faces a severe correction where unit costs collapse faster than demand elasticity can compensate.

The industry is in a classic 'shortage causes glut' cycle where massive over-investment in chips and data centers is occurring. If the 'messy' adoption process and application layer revenue do not scale linearly to absorb this capacity, the industry faces a severe correction where unit costs collapse faster than demand elasticity can compensate.

DEFENSE

DEFENSE

The defense relies on the belief that demand for intelligence is highly elastic; as costs drop 'like a rock,' the usage will expand to fill the available capacity, similar to historical trends in bandwidth and compute.

The defense relies on the belief that demand for intelligence is highly elastic; as costs drop 'like a rock,' the usage will expand to fill the available capacity, similar to historical trends in bandwidth and compute.

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ASYMMETRIC SKEW

High Upside Skew (Trillions in value creation vs. localized capital destruction in infrastructure gluts)

ALPHA

NOISE

The Consensus

AI is a capital-intensive bubble where 'ruinous expenses' outpace revenue. The public narrative is dominated by fear of job loss, regulatory panic (safety), and skepticism that current 'GPT wrappers' have durable value. There is a belief that model capabilities may be 'topping out.'

High infrastructure costs (CapEx) will crush margins. Regulatory fragmentation (50 state laws) and open-source commoditization (China 'dumping') threaten the economic viability of the sector.

SIGNAL

The Variant

This is the single biggest technological revolution since the wheel—bigger than the internet. We are witnessing an 'absolutely unprecedented takeoff rate' in actual revenue (real dollars in bank accounts). The 'panic' is noise; 'revealed preferences' show mass adoption is already happening.

Infrastructure over-investment (shortage-to-glut) is a feature, not a bug. It will drive intelligence costs down 'faster than Moore's Law,' triggering massive demand elasticity. Lower costs unleash the application layer, which is not just 'wrapping' models but backward-integrating into deep tech.

SOURCE OF THE EDGE

Privileged Data Access (Real-time visibility into portfolio company bank accounts/revenue growth) and Historical Pattern Recognition (comparing current adoption to Internet/Mobile cycles).

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CONVICTION DETECTED

• This is the biggest tech technological revolution of my life
• Clearly bigger than the internet
• Absolutely unprecedented takeoff rate
• The capabilities are truly magical
• Just no question tokens by the drink are going to get a lot cheaper
• Price of AI is falling much faster than Moore's law

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HEDGE DETECTED

• These are trillion dollar questions, not answers
• I'm very skeptical that the form and shape... is what they're going to be using in 5 or 10 years
• It's going to kind of come in fits and starts
• My kind of working assumption is...
• It's impossible to prove
• I don't know. I don't want to predict

Every week. Every major conversation. Structured, not summarised.

Every week. Every major conversation. Structured, not summarised.

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