🟠 In one month, we saw multi-hour outages at @Cloudflare, AWS, and Azure – three of the main pillars of modern compute and connectivity - within 2025 even more events, within last decade hard to count the impact Each incident had global spill-over: banks, airlines, SaaS, retail, AI pipelines, and public-sector portals all saw disruptions because they share the same pipes. The underlying infrastructure is uneven: a quarter of data centers run well below power capacity, while new AI-oriented sites totaling nearly 100 MW in Silicon Valley alone stand idle, waiting for grid upgrades. When outages do happen, one in five major incidents costs more than $1m, and some individual events (like the Azure Front Door failure) are estimated in the multi-billion range. This is the definition of a systemic single-point-of-failure problem: concentrated providers, tightly coupled traffic layers, and physical constraints (power, heat) that create correlated risks. Distributed compute marketplaces like @Argentum_AI do not eliminate all risk, but they change the shape of it: - They redistribute capacity geographically and across providers - They activate idle infrastructure that traditional cloud buyers cannot easily reach - They reduce dependence on any single data center or network for mission-critical workloads, while still meeting enterprise-grade security and compliance conditions. Given the trajectory we see in 2025-2026 (more outages, higher costs, and more critical systems sitting on the same few platforms) - the question is less whether to move beyond centralized cloud chokepoints and more how fast the ecosystem can adopt architectures that assume things will fail and route around them by design.