Orlando Bravo built one of private equity's most celebrated franchises by spotting software's dominance before most rivals did. His firm, Thoma Bravo, became a buyout industry powerhouse by acquiring enterprise software companies, cutting costs, and riding the sector's relentless growth. That formula generated billions in returns and cemented Bravo's reputation as the preeminent software dealmaker of his generation. Now, artificial intelligence is rewriting the economics of software itself, and Bravo finds himself on the defensive — forced to convince his own investors that the same instincts that built the empire can navigate its most serious challenge yet.
The pressure is both strategic and reputational. AI is fundamentally altering how software is built, priced, and consumed. Companies that once required large, expensive software platforms are finding that AI tools can replicate or replace those functions at a fraction of the cost. For a firm whose entire investment thesis rests on acquiring, streamlining, and selling enterprise software businesses at premium valuations, that shift is not abstract — it strikes at the core of how Thoma Bravo underwrites deals and what buyers will pay for the companies it eventually tries to exit.
Bravo has moved to get ahead of the narrative, actively engaging limited partners and making the case that Thoma Bravo is repositioning itself to embrace AI rather than be upended by it. The outreach reflects an awareness that confidence among institutional investors — pension funds, endowments, sovereign wealth funds — is not automatic, and that the firm's recent track record has given some of them reason to ask harder questions.
The most immediate source of investor concern is Thoma Bravo's investment in Medallia, a software company focused on online customer experience and survey tools. The firm took Medallia private in 2021 in a deal valued at roughly $6.4 billion, loading the company with debt to finance the acquisition — a standard private equity playbook. What followed was far from standard. The investment has lost more than $5 billion in value, making it one of the largest individual deal losses in recent private equity history.
The timing was brutal. Thoma Bravo acquired Medallia near the peak of the software valuation cycle, when companies were being priced at extraordinary multiples of revenue on the assumption that growth would continue indefinitely. When interest rates rose sharply starting in 2022, those multiples collapsed across the sector. Medallia's business — centered on enterprise feedback management, a category increasingly threatened by cheaper AI-powered alternatives — was hit especially hard. The debt burden that made the deal financially engineered for a low-rate environment became a serious liability when the macro backdrop reversed.
Bravo has characterized the Medallia outcome as an isolated misjudgment rather than evidence of a systemic problem with the firm's approach. But that framing is precisely what investors are scrutinizing. The fund that held the Medallia position is reportedly trailing peer funds in performance metrics, raising questions about whether other portfolio companies in that vintage carry similar vulnerabilities — too much debt, too narrow a product focus, too exposed to AI substitution. Limited partners are not simply accepting the one-off explanation; they are conducting their own assessments of Thoma Bravo's broader portfolio for signs of additional stress.
The Medallia episode also illustrates a wider tension in software buyouts. The traditional Thoma Bravo model involved acquiring companies with sticky, recurring revenue, then engineering efficiency improvements to expand margins. That model assumed the underlying software would remain essential to customers. AI is now challenging that assumption in category after category, and firms that paid 2021-era prices for businesses in those categories face a painful reckoning.
Thoma Bravo's response has been to lean into AI rather than distance itself from the disruption. Bravo has been making the rounds with investors, arguing that the firm's deep expertise in enterprise software — understanding how it is sold, how it is integrated into corporate workflows, and how it can be improved — is actually an advantage in evaluating AI-native companies and AI-augmented software businesses. The argument is that knowing the old world deeply is the best preparation for navigating the new one.
There is a credible version of this argument. Thoma Bravo has decades of relationships with software executives, a track record of operational improvement in portfolio companies, and the financial scale to pursue large transactions that smaller, AI-focused investors cannot. If AI transforms existing software categories rather than replacing them entirely, the firm's existing portfolio and deal pipeline could benefit rather than suffer.
But the skeptical version is equally compelling. The firms best positioned to invest in AI may be those built specifically around it — venture capital firms with technical talent embedded in their investment teams, growth equity investors who have spent years cultivating relationships with AI-native founders, or the technology companies themselves. A buyout firm optimized for acquiring mature, cash-flow-positive software businesses and loading them with leverage may struggle to adapt its model to a world where the most valuable software assets are early-stage, capital-light AI startups with no earnings to borrow against.
The deeper challenge is structural. Thoma Bravo's business model depends on debt financing, operational discipline, and eventual exits at higher valuations than entry prices. All three legs of that stool are under pressure simultaneously — credit markets are more cautious about software assets, operational improvements are harder when AI can eliminate the labor costs that buyout firms traditionally targeted, and exit valuations remain uncertain in a sector undergoing rapid transformation. Reassuring investors requires not just a compelling narrative but a demonstrated ability to close deals, improve companies, and generate returns in the new environment. That proof will take years to accumulate, and Bravo's limited partners are watching closely in the meantime.
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