AppLovin: how a 92% post-IPO crash became a $100B AI-driven ad machine
Key takeaways from the Sourcery with Molly O'Shea interview with AppLovin CEO Adam ForoughiDealroom has a profile for this one. Try Dealroom → and CTO Giovanni, recorded at the company's Palo Alto HQ (August 2026):
Escalating ambition, then a brutal drawdown. Foroughi describes goals that ratcheted from a $1B to a $10B to a $100B company — then a 92% share-price drop in the first 18 months after going public, before the AXON 2 engine drove the recovery to a ~$100B valuation.
Prediction accuracy is the flywheel. The core loop: more accurate predictions mean better advertiser returns, which grows the business — the engine behind AppLovin's margins and profitability.
AI as a lever on a lean team. Foroughi wants engineers to sit "on top of AI," not next to it; the team stayed the same size while tackling harder problems, with AI elevating output rather than expanding headcount.
Success from what they chose not to do. He attributes AXON's success "largely to what we decided not to do, not actually what we did" — a discipline-and-focus argument over feature sprawl.
The CTO's outside-in reset. Giovanni, who joined from big tech in November 2022, found a lean, approachable team with founders deep in day-to-day execution, but also legacy models, infrastructure and mindset that needed hard questions and rebuilding — the turning point the hosts credit for propelling AppLovin's ad engine.
Read more: Sourcery with Molly O'Shea
