Goldman Sachs CEO David Solomon dismissed the recent sell-off in software stocks as “too broad,” arguing that while AI will create winners and losers, the panic may be overblown. His comments underscore Wall Street’s fragile confidence amid shifting tech dynamics, but also signal resilience in dealmaking and capital markets for 2026.
Amid growing investor jitters over a prolonged sell-off in software stocks, Goldman Sachs CEO David Solomon has delivered a counter-narrative: calm down. Speaking at a UBS financial services conference in Key Biscayne, Florida, Solomon labeled the market reaction “a little bit too broad,” contending that while AI-driven disruption will inevitably create winners and losers, the sectorwide panic is premature. His comments come at a pivotal moment for Wall Street—one where confidence in technology’s role in corporate America is being tested, and where the outlook for M&A activity has become a bellwether for broader economic sentiment.
Beyond the Panic: A Decoupling of AI Risk and Software’s Fundamental Value
The sell-off, which intensified in early February 2026, sent shares of private equity giants—including Apollo Global Management (APO), Ares Management (ARES), Blackstone (BX), and KKR (KKR)—skidding lower. These firms had become targets of the market’s “Fear of Becoming Obsolete” (FOBO) as investors questioned whether AI tools like advanced generative models could quickly replace entire software ecosystems. No company, however, felt the pressure more keenly than Blue Owl (OWL), whose CEO, Marc Lipschultz, denounced the sell-off as lacking realism.
“For those on the call that are thinking Fortune 500 companies are going to take all their software and just rip it out and just say, ‘I’ll just ask ChatGPT,’ that’s simply not the way it works,” Lipschultz told investors on a February 5 earnings call. His rebuttal wasn’t mere braggadocio—it mirrored testimony from Nvidia CEO Jensen Huang, whose company sits at the vanguard of AI transformation. Huang’s public statements have consistently emphasized AI as an acceleration layer, not a knock-down replacement for enterprise workflows. Solomon, for his part, framed Goldman’s exposure as manageable: “It’s something that we’re monitoring,” he noted, “but insignificant to our overall platform.”
The Investor Dilemma: Sorting Signal from Noise in Tech’s AI Transition
To the market, however, Solomon’s words carry more meaning. Wall Street’s institutional muscle remains a critical lifeline for startups and established tech firms alike as they navigate an environment where AI scares mingle with massive capital inflows. Notably, Goldman posted one of its strongest years in two decades for dealmaking and trading in 2025, riding a record wave of M&A and bond issuance that carried into 2026. Worldwide investment banking revenue already sits 10% higher year-over-year, fueled by blockbuster transactions such as Elon Musk’s SpaceX acquisition of xAI, alongside mammoth bond offerings from Oracle (ORCL) and Alphabet (GOOG) to bankroll their own AI expansions.
Subtle shifts in Wall Street tone often precede broader market rotations. Solomon’s bullish stance on 2026’s outlook for capital markets and M&A—what he called a “constructive year”—signals an expectation that investor nerves will settle as AI applications mature rather than trigger cataclysmic disruptions. This view is bolstered by Dealogic data showing early-year momentum in debt and equity underwriting, which historically leads to increased deal pipelines.
What the Rout Means for Your Portfolio—Beyond the Headlines
- Divided
Risks
: Not all software businesses face equal headwinds. Tools leveraging narrow AI applications within vertical industries (healthcare billing, logistics optimization) remain resilient. - Dealmaker Sentiment: Wall Street’s rallying tone may stabilize valuations in private tech markets, reducing cost of capital for the strongest players.
- Growth vs. Defensiveness: While defensive sectors have drawn inflows, security-focused enterprise software that protects AI models could emerge as winners.
Bottom Line: AI Disruption Is Evolutionary, Not Apocalyptic
Solomon’s intervention should reassure investors that financial WALL STREET remains aligned with tech’s mainstream—skeptical of hysteria, ready to capitalize on accelerations. The narrative on software—once feared to be “too broad” in its sell-off—is already refining itself into a more selective calculus. For Goldman, for its peers, and for public and private tech investors alike, 2026 is shaping up as a year of thoughtful, not/tests induction, into the AI-powered economy.
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