David Haber
Showing 1–13 of 13 transcripts.
- a16z55 min
The $1 Trillion Firm That Refuses The Private Equity Label | a16z
Apollo Global Management is pivoting from traditional private equity into a global retirement services giant with over $1 trillion in assets to address systemic market concentration and fund the capital-intensive AI infrastructure boom expected in 2025 and 2026. By standardizing private credit products and expanding into hybrid equity, the firm aims to provide diversification for public markets while navigating the shift toward hard-asset financing for data centers and energy. Simultaneously, Apollo is restructuring its organizational culture to prioritize merit and technological adaptation, positioning itself to capture value in a landscape where traditional enterprise software valuations face obsolescence due to artificial intelligence.
- a16z1h 14m
Goldman Sachs Chairman on Why Finance Adopts AI Differently | a16z
A senior financial leader outlines a risk management philosophy centered on rigorous contingency planning rather than prediction, while highlighting the unique systemic threats posed by autonomous AI and untested technology. The speaker details how Goldman Sachs maintained stability during the 2008 crisis through strict collateral agreements and mark-to-market accounting, preserving a partnership culture that prioritizes firm-wide ownership even after its IPO. Drawing parallels between financial crises and active shooter scenarios, the discussion advises current and future technology leaders to build public trust proactively and cultivate broad resilience to navigate an uncertain future.
- a16z1h 23m
Building Blackstone, Backing Costco, and Working with Munger | Tony James on The a16z Show
Tony James, Munger, David Haber, Jim Sinegal, Steve Schwarzman
James transformed DLJ from a niche player into a market leader with $14 billion in sales, subsequently steering Blackstone to nearly $1 trillion in assets by cultivating a team-based culture and scalable platform. His strategic investments in entities like Costco and his tenure alongside Charlie Munger underscore a philosophy rooted in flawless execution and long-term value creation. Looking forward, James advocates for structural shifts in private credit and fund models while championing an HBCU initiative designed to leverage private equity capabilities for broader societal impact.
- a16z27 min
How to Reorg After AI Changes Everything | Block's Owen Jennings on the a16z Show
Block reduced its workforce by over 40% with a specific focus on engineering and product roles to transition from a hierarchical model to an agentic, squad-based structure. This strategic pivot leverages proprietary tools like the "Goose" harness and autonomous "Builder Bot" to achieve productivity gains of up to 100x while maintaining P0 reliability and an intact compliance team. The company aims to redefine its competitive moat through deep domain data expertise and generative UI, anticipating a market expansion that offsets the reduction in traditional development headcount.
- a16z36 min
Ben Horowitz and David Solomon: The Sweetest Macro Spot in 40 Years
Ben Horowitz, David Solomon, David Haber
Goldman Sachs is expanding its balance sheet to between $2.5 and $3.5 trillion by shifting to a stable deposit model, while simultaneously deploying $6 billion in technology to automate operations and drive efficiency. Concurrently, Andreessen Horowitz has solidified its position as the largest U.S. venture firm by capturing 18.3% of capital in 2025, leveraging AI to scale investments from 15 to 150 major successes annually. These strategies converge within a stimulative macroeconomic environment characterized by fiscal support and deregulation, which is expected to trigger record M&A activity and accelerate the public listings of AI-driven companies despite lingering geopolitical risks.
- a16z1h 10m
The AI Opportunity that goes beyond Models
Alex Rampell, Jen Kha, David Haber, Anish Acharya, Ari, Nick Kopp, Seema, Mark Andrusco, Joe Schmidt, Olivia, Kimberly, Gabe, Brian, Andy, Ben
The current AI era, driven by global smartphone adoption and the 2017 Transformer breakthrough, is enabling software companies to generate $100 million in revenue within two years while displacing human labor through specialized applications. Forward-thinking firms capitalize on this shift by establishing proprietary data moats and evolving from per-seat pricing models to outcome-based strategies that solve specific "labor replacement" needs. Concurrently, investors like Andreessen horowitz are prioritizing high-conviction deals in vertical roll-ups and "AI-native" ecosystems to secure defensible systems of record rather than temporary feature differentiation.
- a16z13 min
AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)
Oliver Hsu, Bryan Kim, David Haber
Speakers Oliver Hsu, Brian Kim, and David Haber analyze distinct trajectories for AI adoption, ranging from autonomous scientific discovery in life sciences to consumer platforms shifting focus from productivity to digital connectivity. Hsu identifies the maturation of robot learning and simulation as prerequisites for closing the loop on self-driving labs, while Kim argues that future consumer value hinges on AI agents facilitating human relationships through deep emotional engagement. Concurrently, Haber demonstrates that the most robust business models integrate AI to directly reinforce revenue generation and proprietary data loops, as seen in contingency law firms and loan servicing platforms that scale success rather than merely cutting costs.
- a16z46 min
How AI Will Transform Fintech In 2026
The fintech industry has transitioned from a post-pandemic boom and subsequent winter to a 2025 recovery phase where companies like SoFi and Revolut are prioritizing profitability over hyper-growth. Key players such as Plaid have pivoted their strategic focus from account linking to building AI-driven data infrastructure while the sector confronts a paradox where artificial intelligence now drives an 18% annual rise in sophisticated fraud. Looking forward, investment momentum is shifting toward B2B software solutions and emerging markets, alongside a convergence of crypto assets into regulated traditional banking rails.
- a16z51 min
Why AI Moats Still Matter (And How They've Changed)
David Haber, Alex Rampell, Erik Torenberg, Steve Jobs, Drew Houston, Dan Rose
The event analyzes a fundamental shift in software economics where AI enables labor replacement, forcing a transition from per-seat to outcome-based pricing models to capture value from tasks previously too expensive for human staff. While AI features offer differentiation, sustainable defensibility now relies on owning end-to-end workflows and achieving the massive data scale required for network effects rather than relying on technology alone. Consequently, the market faces a prediction of significant consolidation among competitors, while successful founders must balance technical agility with deep industry context to build resilient moats against incumbent adaptation.
- a16z45 min
How AI is Reshaping Labor Markets: A $Trillion-Dollar Opportunity Explained
Alex Rampell, David Haber, Angela Strange
The presentation traces the evolution of software from the 1960s digitization of physical records to the current 2024 era where AI agents substitute human labor rather than merely storing data. This shift fundamentally alters revenue models by threatening traditional seat-based licensing with "autopilot" pricing structures that charge for work output or cost savings, potentially expanding total addressable markets into labor-intensive verticals like healthcare and legal services. Success in this new landscape depends on startups leveraging messy unstructured data as an entry wedge while incumbents like Salesforce face existential risk if they fail to pivot from productizing software to pricing based on labor displacement.
- a16z30 min
Marco Argenti (Goldman Sachs): Turning Developers into Clients
Marco Argenti, a veteran engineer whose career spans four major technology shifts, now leads Goldman Sachs' engineering strategy by treating internal developers as primary customers to drive a culture of rapid, standardized innovation. Leveraging a "look outside first" approach and a selective AI pilot program, the firm has achieved productivity gains of up to 40% while preparing to expand generative tools to knowledge workers across its financial services division. Argenti predicts that within a decade, this hybrid AI architecture will transform the industry into a real-time business where speed of pricing and decision-making becomes the defining competitive advantage.
- a16z37 min
Marty Chavez (Sixth Street): Finding a Single Source of AI Truth
Marty Chavez, a former Goldman Sachs executive and current partner at Sixth Street Partners, traces the evolution of computational simulation from his foundational work on the SECDB system that navigated the 2008 financial crisis to his current advocacy for AI boundaries in finance and biotech. Drawing on decades of experience modeling complex systems for everything from currency trading to protein folding, he argues that future AI regulation should focus on physical interface constraints rather than internal algorithmic logic while emphasizing the critical need for clean data to avoid generative hallucinations. Chavez further notes that while current AI adoption in the Fortune 100 is driven by productivity demands, its transformative potential in life sciences depends on successfully bridging the gap between vast theoretical chemical spaces and the high costs of physical drug fabrication.
- a16z51 min
When Two Giants Intersect: Healthcare Meets Fintech
Amidst a US healthcare crisis defined by $4.3 trillion in annual spending and systemic inefficiencies, new regulatory mandates for price transparency are catalyzing a wave of fintech innovation aimed at realigning incentives across providers, payers, and consumers. Startups like Juniper and Thatch are leveraging value-based payment models and embedded financial infrastructure to automate revenue cycles and optimize benefit utilization, while tech-native carriers address critical gaps in preventative care and high-cost drug coverage. This rapidly evolving sector demands hybrid founding teams capable of navigating complex state regulations to bridge the operational divide between agile startups and massive legacy incumbents.