Post by Anthony Esposito

Ten years of QuantumBlack is a useful reminder of what real AI progress looks like. What stands out to me isn’t just the growth, from a small Shoreditch startup to McKinsey’s global AI engine, but how that growth happened: - Treating AI as production software, not experiments - Investing early in open-source frameworks and reusable architecture - Pairing rigorous science with real-world integration - Focusing on adoption, resilience, and measurable impact—not just model accuracy From a cybersecurity perspective, this matters. As AI becomes agentic and embedded deep inside enterprise workflows, engineering rigor, platform thinking, and governance are inseparable from security outcomes. The next decade will show who can safely scale AI into complex, regulated, always-on environments.