Orlando Bravo: AI disruption warrants valuation cuts for some software names
Orlando Bravo says AI-driven disruption in software is causing 'very warranted' valuation reductions for some names, CNBC reports. He argues the AI wave will accelerate a re-rating of software equities, even for names that would have faced disruption anyway.
Key Takeaways
- AI-driven disruption is driving valuation reductions for some software names, per Bravo.
- Many affected stocks would have been disrupted by AI regardless, Bravo says.
- Thoma Bravo's 2021 Medallia deal is cited as an overpay for growth, per Bravo.
- IGV ETF has fallen about 28% from its all-time high, signaling sector-wide compression.
- Bravo did not name specific companies that should see lower valuations; the assessment is high-level.
People Involved
- Orlando Bravo Founding Partner and CEO, Thoma Bravo
- John Zito President, Apollo Global Management
Entities Involved
- Thoma Bravo Private equity firm with >$183 billion AUM and 77 portfolio companies as of December
- Medallia Software company acquired by Thoma Bravo in 2021 for $6.4 billion
- IGV ETF iShares Expanded Tech Sector ETF, proxy for software/tech multiples
- Apollo Global Management Private equity and asset manager; cited for John Zito's remarks
MarketMoodz Analysis
For investors, Bravo's stance signals potential re-rating risk for AI-exposed software names as valuations come under scrutiny and growth assumptions are reassessed. The sector-wide 20%-plus drawdown in software multiples amid AI hype underscores the need to distinguish durable profit drivers from hype around AI tools.
Historically, software valuations have swung with growth narratives; cycles show that hype can inflate multiples before compression occurs when buyers demand stronger evidence of recurring revenue, margins, and cash flow. Bravo's critique aligns with a broader private-equity cautionary stance on overpaying for growth in the AI era, and it echoes current market volatility where public software shares trade at compressed or questioned multiples.
What to watch next includes earnings cadence, AI product milestones, customer wins, gross margins, and ARR growth to determine which players can convert AI curiosity into sustained profitability.
Source: Original Article
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