How to Think About Scale, Funding & Competitive Positioning | David Solomon & Ben Horowitz

In a discussion with a16z’s David Haber, Goldman Sachs CEO David Solomon and a16z cofounder Ben Horowitz explored the current economic landscape, the evolution of their respective firms, and the transformative impact of AI on enterprise, competition, and policy.

Macro Environment: “As Sweet a Spot as I’ve Seen”

David Solomon described the current macroeconomic environment in the United States as one of the best he has witnessed in his 40-year career for those involved with financial and investable assets. He attributes this to a powerful “cocktail of stimulus” that makes it difficult to slow the economy down, comprising:

• Fiscal Stimulus: Significant and ongoing government spending.
• Monetary Stimulus: The economy is in a rate-cutting cycle.
• Capital Investment Super Cycle: Highlighted by the four largest tech companies contributing 1% to GDP growth last year through $400 billion in spending.
• Deregulation: An unwind from the previous administration’s regulatory surge.

This environment is fueling a strong market outlook. Solomon predicted that 2024 could be the “biggest M&A year in history,” driven by renewed confidence and a shift in the regulatory environment where the answer to strategic moves is no longer a definitive “no,” but “maybe.”

The Evolution of a16z and Goldman Sachs

Ben Horowitz recounted a16z’s journey from its 2009 founding to capturing 18.3% of all US venture capital raised in the last year. The firm’s strategy evolved in phases:

1. A Better Product for Founders: Initially, a16z differentiated itself by creating a firm designed to help founders build and run their own companies, a departure from the prevailing VC model of replacing founders.
2. Scaling for a New Era: Inspired by Marc Andreessen’s “Software is Eating the World” thesis, the firm scaled its organization to capitalize on an expanding market, anticipating far more than the traditional 15 breakout tech companies per year.
3. Growing the Industry: Now, as a market leader, Horowitz sees a16z’s role as growing the entire technology industry, taking on challenges in policy and American competitiveness, particularly against China.

David Solomon reflected on Goldman Sachs’ transition from a private partnership to a public company in 1999. The key challenge has been to preserve its entrepreneurial, partnership-driven culture while implementing the top-down strategic direction necessary for a public company. Looking forward, he identified two primary strategic concerns:

• Scale: Ensuring Goldman Sachs can maintain a competitive scale against larger, more traditional banking institutions like JP Morgan.
• Funding Stability: Shifting from a reliance on wholesale funding to more stable deposit-based funding. The firm has grown its deposits from zero to over $500 billion in 15 years.

AI’s Impact: New Competitive Dynamics and Enterprise Adoption

Horowitz explained how AI fundamentally changes competitive strategy in the tech industry. The concept of a defensible “lead,” central to software for decades (popularized by the “mythical man-month” concept), is less relevant in the age of AI.

With AI, if you have proprietary data and you have enough GPUs, you can solve like almost any problem. It is magic. But it means that you can throw money at the problem. And we’ve never had that in tech.

This new reality—where capital can erase a startup’s lead—is a driving force behind the need for AI companies to go public, securing the necessary capital to compete.

At Goldman Sachs, AI adoption is a two-pronged strategy:

1. Empowering People: Providing employees with AI tools, models, and applications to experiment and enhance their day-to-day productivity.
2. Reimagining Processes: A top-down initiative called “One GS 3.0” aims to completely reimagine and automate core operational processes. The goal is not just cost savings but to create capacity for reinvestment into growth areas. Solomon noted, “If we can actually find $2 billion of efficiency around reimagining processes, then I can spend eight [billion on technology] and wind up with the same returns.”

The Policy Frontier: Crypto and AI

Horowitz detailed a16z’s significant engagement in Washington D.C. on technology policy.

• For Crypto: The primary focus is the Clarity Act, which aims to establish a clear market structure for digital assets, defining which tokens are securities versus other types of assets.
• For AI: The policy push is centered on several key principles:
  • “Don’t regulate math”: Advocate for regulating the applications of AI (e.g., using AI to commit a crime), not the underlying mathematical models themselves.
  • Federal Preemption: Establish a single set of federal AI laws to prevent a patchwork of 50 different state-level regulations that would stifle innovation.
  • Copyright and Training Data: Ensure that AI models can be trained on copyrighted works to build statistical understanding, arguing this is critical for the U.S. to remain competitive with China, which does not have similar constraints.

• Tags:
• Venture Capital
• Enterprise AI
• AI Policy
• Financial Services
• A16z
• Macroeconomics
• Goldman Sachs