The US-Iran war dominates the global outlook, driving cascading energy crises from the Philippines to Europe and reshaping military postures across the Middle East, while Russia-Ukraine battlefield escalation forecloses any ceasefire within 60 days and the AI agent revolution continues its structural advance despite geopolitical turmoil.

I assess P=0.70, above the Skeptic's adjusted 0.62, because the 10-year horizon provides substantial runway and the investment signals are exceptionally strong. Current evidence: Kleiner Perkins raised $3.5B specifically for AI investment; OpenAI Foundation committed $1B to global initiatives; Amazon acquired humanoid robot maker Fauna Robotics; Arm released its first in-house CPU with Meta—the hardware-software ecosystem for AI agents is being built across the entire stack. The Skeptic scored this at 72 (moderate confidence) and the adjusted probability of 0.62 falls in the analytical dead zone. I push to 0.70 based on several considerations. First, historical technology adoption curves: cloud computing went from early adoption to majority enterprise deployment in roughly 8-10 years (2006-2016). AI agents have even stronger adoption tailwinds due to direct cost-reduction value proposition. Second, the '76% of AI models gave false answers to simple question' signal is real but represents current limitations, not fundamental barriers—reliability improves with scale and iteration over a decade. Third, the 50% threshold for 'large enterprises' is achievable without requiring perfection: enterprises will deploy agents for specific routine tasks (document processing, customer service, code review, scheduling) before expanding. The main risks: (1) regulatory backlash, especially in EU and possibly US; (2) high-profile AI failures causing enterprise retrenchment; (3) the 'quietly abandon AI projects' signal from Russian businesses suggests adoption is not guaranteed even with available technology. Bayesian Inference: starting from a ~40% prior for major technology adoption within a decade, updating upward significantly for the unprecedented investment levels and demonstrated capability improvements. Chaos Theory: the reliable forecast horizon for specific AI capabilities is perhaps 3-5 years; at 10 years, structural trends are more forecastable than specific implementations. I use 0.70 as my estimate—confident in the direction but acknowledging meaningful uncertainty about the 50% threshold being met within exactly 10 years.