From AI Spend to AI Outcomes: What the Data Says
Throughput is up and engineers are faster. So why does the code feel harder to trust and stability more fragile?
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You adopted AI tools. Your throughput went up. Your engineers are moving faster than ever. So why does the code feel harder to trust, review cycles feel longer, and system stability feel more fragile? That's the Acceleration Whiplash — and according to telemetry from 22,000 developers across 4,000 teams, it's hitting high-performing organizations as hard as struggling ones.
In this live conversation, Vitaly Gordon (CEO, Faros) and Martin Harrysson (Partner, McKinsey) go beyond the adoption debate. They unpack what the data actually shows, what Martin is seeing on the ground at large enterprises, and what it takes to move from 10x individuals to 10x organizations. Expect real findings, practitioner advice, and a frank conversation about what systematic AI Engineering actually looks like at scale.
If you're leading engineering and you've noticed the gap between your AI spend and your outcomes, this session is for you.
