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Ben Horowitz and David Solomon: The Sweetest Macro Spot in 40 Years

a16z general partner David Haber spoke with Goldman Sachs CEO David Solomon and a16z cofounder Ben Horowitz on the current macro environment, enterprise AI adoption, and crypto and AI policy. Solomon describes what he calls the "sweetest spot" he's seen in 40 years and explains Goldman's "One GS 3.0" initiative to reimagine core processes with AI. Horowitz discusses why "leads aren't what they once were" in AI and how a16z grew from a startup VC to capturing 18% of all US venture capital. Read the full transcript here: https://www.a16z.news/s/podcast Timestamps: 00:00 — Introduction 02:09 — Goldman's Evolution from Partnership to Public Company 08:54 — How a16z Went from Top Tier to 18% of All US Venture Capital 15:33 — "As Sweet a Spot" as Solomon Has Seen in 40 Years 19:00 — M&A Outlook: "Whatever the Question Is, the Answer Is Maybe" 21:33 — Why Leads Aren't What They Once Were in AI 23:03 — Crypto Policy: The Genius Act and Clarity Act 25:24 — AI Policy: "Don't Regulate Math" 28:03 — One GS 3.0: Reimagining Processes with AI 32:54 — Will AI Agents Change Investing? 34:00 — Favorite DJ Resources: Follow David Solomon on X: https://twitter.com/DavidSolomon Follow Ben Horowitz on X: https://twitter.com/bhorowitz Follow David Haber on X: https://twitter.com/dhaber Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

David Solomonguest
Feb 1, 202635mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Horowitz and Solomon on macro tailwinds, AI disruption, and policy battles

  1. David Solomon argues the U.S. is in an exceptionally favorable macro “sweet spot” driven by simultaneous fiscal stimulus, rate cuts, heavy capital investment, and deregulation, despite heightened geopolitical risk.
  2. Solomon expects materially improved deal confidence—shifting from “no” to “maybe”—and predicts a very strong year for M&A and a bigger IPO market as regulatory headwinds ease.
  3. Ben Horowitz explains a16z’s evolution from building a founder-centric “better VC product” to scaling a large platform, now raising ~18.3% of all U.S. venture capital and feeling responsible for expanding the overall tech market.
  4. Horowitz contends AI changes competitive dynamics because leads are less durable when proprietary data plus sufficient GPUs can rapidly close gaps, pushing companies toward IPOs to fund compute-intensive competition.
  5. Both emphasize policy as a decisive lever: a16z touts stablecoin legislation and pushes crypto market-structure clarity, while warning against AI overregulation (“don’t regulate math”) and fragmented state-by-state rules that could hand advantage to China.

IDEAS WORTH REMEMBERING

5 ideas

Goldman’s core challenge is scaling an institutional model without losing partnership culture.

Solomon frames post-IPO Goldman as trying to preserve partner-like incentives while adopting top-down strategy required of a public company, because “one-plus-one” coordination matters at their current complexity.

For Goldman, scale is a defensive necessity in turbulence.

Solomon argues mature financial businesses reward balance-sheet scale, noting JPMorgan’s ~$4.5T balance sheet versus Goldman’s ~$1.9T and implying competitiveness requires closing that gap over time.

Stable funding is existential for capital-markets firms.

He highlights Goldman’s shift from being the largest wholesale funder (undesirable) to building deposits—~$500B total, including a digital platform—because deposits are structurally more stable than institutional short-term funding.

The current U.S. macro setup is unusually stimulative for asset-linked businesses.

Solomon attributes the “sweet spot” to stacked tailwinds: fiscal expansion, a rate-cutting cycle, a capex supercycle (with mega-cap spending contributing meaningfully to GDP), and deregulation that boosts confidence.

Deal markets follow confidence—regime change moves answers from ‘no’ to ‘maybe.’

Solomon describes the prior regulatory environment as suppressing strategic action; he expects materially higher M&A and IPO activity as CEOs regain permission to plan and transact, even if outcomes remain uncertain.

WORDS WORTH SAVING

5 quotes

We were the largest wholesale funder in the world 10 years ago. There are a lot of things you wanna be the largest in the world. Wholesale funder, not one of them.

David Solomon

It turns out that the best time to raise money is when nobody has money.

Ben Horowitz

If you're in our kind of businesses, if you're attached to financial assets or investable assets, um, this is, you know, I've been doing this for forty some years. This is as sweet a spot, um, that, that I've seen kinda macro picture.

David Solomon

For the last four years, whatever the question was, the answer was no. Okay, now whatever the question is, the answer is maybe.

David Solomon

With AI, uh, if you have data- you know, particularly proprietary data, and you have enough GPUs, you can solve, like, almost any problem. It is magic.

Ben Horowitz

Goldman’s partnership culture vs. public-company strategyScale and funding as strategic risks for institutional banksMacro stimulus cocktail and asset-price implicationsM&A and IPO confidence cycleAI shrinking moats via data and GPUsCrypto legislation: GENIUS Act and Clarity/market-structure billEnterprise AI process reengineering (One GS 3.0) and agentic investing limits

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