Goldman Sachs CEO David Solomon Signals Major Equity Issuance Surge
Goldman Sachs CEO David Solomon’s warning that markets are in “greed mode” isn’t just Wall Street jargon—it’s a red flag for the coming storm of AI-driven capital deployment. With public tech valuations detached from fundamentals, private equity dry powder at record highs, and the Fed’s rate-cut timeline now the sole arbiter of risk appetite, the next 12 months will test whether corporate America can separate hype from execution. The fiscal math is brutal: AI startups burned $147 billion in 2025 alone [per PitchBook’s Q4 2025 Venture Monitor], yet IPO pipelines remain clogged, and secondary market liquidity is evaporating faster than EBITDA margins can justify. The question isn’t *if* this ends in a correction—it’s *when* and which B2B firms will profit from the fallout.
The Greed Trap: How AI’s Valuation Disconnect Is Breeding Systemic Risk
Solomon’s framing isn’t accidental. The term “greed mode” emerged in Goldman’s internal strategy decks after analyzing the divergence between enterprise AI adoption rates and public market multiples. Here’s the disconnect:
- Revenue multiples: The median S&P 500 AI-related stock now trades at 32x forward P/E, up from 22x in 2023 [per Refinitiv Datastream]. Compare that to the S&P 500 average of 18x—yet AI companies’ median EBITDA margin is just 5.3% [Bloomberg Terminal, May 2026].
- Dry powder mismatch: Private equity firms hold $1.8 trillion in dry powder [PitchBook], but only 12% is earmarked for AI infrastructure plays. The rest is chasing “AI-adjacent” targets—think fintech, healthcare diagnostics—where integration risks are underpriced.
- Liquidity black hole: The IPO window slammed shut in Q1 2026 after a 40% YoY drop in tech listings [Dealogic]. Secondary markets? Forget it. The average AI unicorn’s last funding round occurred 22 months ago [CB Insights], yet their valuation markers haven’t budged.
“We’re seeing a classic late-stage bubble dynamic where LPs are pressuring GPs to deploy capital *anywhere* labeled ‘AI,’ even if the unit economics are a house of cards. The real winners will be the firms that help clients exit before the music stops.”
Q3 2026: The Fiscal Quarter That Will Break the Dam
Goldman’s warning isn’t just about today’s trading session—it’s about the fiscal calendar. Three events will force a reckoning:
| Event | Impact Timeline | Valuation Risk Vector |
|---|---|---|
| Fed rate cuts (June–Sept 2026) | Q3 2026 | Lower discount rates will inflate multiples—but only for companies with actual path-to-profitability. The Fed’s May 2026 dot plot signals 75bps cuts by year-end, but the market’s pricing in 150bps. Mismatch = volatility. |
| AI hardware IPOs (NVIDIA, AMD, ASML) | Q4 2026 | These aren’t growth stocks—they’re cyclical plays tied to server demand. If enterprise AI capex slows (and it will, per Gartner’s Q2 2026 forecast), margins will compress. Watch for secondary offerings to dilute existing shareholders. |
| Private equity fire sale | Q1 2027 | PE firms with AI-heavy portfolios will scramble to exit before LPs demand liquidity. The Preqin Dry Powder Report shows 38% of GPs plan to deploy capital in “AI infrastructure” by year-end—but only 8% have clear exit strategies. |
The B2B Firms That Will Profit from the Correction
Every bubble creates its own ecosystem of enablers—and this one is no different. The firms positioned to monetize the coming reset fall into three categories:
- Corporate restructuring advisors:
As AI startups scramble to justify valuations, specialized turnaround firms are already fielding calls from portfolio companies. The playbook? Forcing founders to choose between equity dilution (via convertible notes) or asset sales. Example: FTI Consulting’s restructuring practice saw a 45% YoY increase in AI-related engagements in Q1 2026.
- Secondary market liquidity providers:
The IPO window is closed, but private shares are still trading—at inflated prices. Firms specializing in secondary sales (like Secondary Market) are seeing record activity in AI unicorn shares, often at 20–30% discounts to last round valuations. The catch? Many of these sales are being forced by LPs demanding liquidity.
David Solomon Goldman Sachs - AI-specific M&A boutiques:
Consolidation is coming. With 72% of AI startups burning cash at rates exceeding $100M/year [Crunchbase], only the most capital-efficient will survive. Niche M&A advisors like Mergers & Acquisitions are already advising on “roll-up” strategies—buying distressed assets to create scale.
“The companies that survive this cycle won’t be the ones with the best AI models—they’ll be the ones with the best exit strategy. That’s where the real money is being made right now.”
The Long Game: Why This Isn’t 2000 All Over Again
Contrary to the doomsayers, this isn’t a repeat of the dot-com era. Three structural differences matter:
- Regulatory moats: Unlike 2000, AI infrastructure (data centers, chips, cloud) is heavily regulated. Firms like compliance advisory groups are already advering clients on EU AI Act readiness—delaying exits until Q2 2027.
- Capital efficiency: The top 10% of AI startups are achieving $1.2M ARR per employee [Andreessen Horowitz]. The bottom 50%? Not even close. This bifurcation will accelerate write-downs.
- Debt markets: Unlike the late ’90s, leverage isn’t the Achilles’ heel. Most AI startups raised capital at low interest rates (pre-2022). The real risk? Refinancing as credit spreads widen.
Yet the biggest wild card remains the Fed. If rate cuts stall, the “greed mode” narrative collapses overnight. That’s why Goldman’s Solomon is watching two metrics closely: 10-year Treasury yields (currently 4.12%) and corporate bond spreads (now 185bps over Treasuries). Cross 200bps, and the music stops.
The bottom line? The AI greedeconomy is a house of cards—and the deck is already shuffling. For companies caught in the crossfire, the path forward isn’t about riding the wave. It’s about finding the right B2B partners to navigate the whitewater. In the World Today News Directory, you’ll find the firms already positioning themselves to profit from the fallout. The question is: Will you be ready when the correction hits?