In early 2026, investors deployed $300 billion into 6,000 startups, but only a single-digit portion went to AI applications aimed at social and environmental challenges. The funding gap reflects who AI is built for and who is excluded. A case from Nigeria shows how real-world constraints shape effective AI-enabled solutions: hospitals faced blood shortages amid unreliable power, fragmented logistics, and severe traffic delays. LifeBank used routing software, local logistics, and last-mile transport to coordinate supply and demand for blood, oxygen, and medical supplies. The approach now serves 3,000 hospitals with 24/7 delivery in under 45 minutes. Proximity to problems creates expertise by shortening feedback loops and removing false assumptions, yet it often disqualifies founders from receiving capital.
"In the first quarter of 2026, investors deployed $300 billion into 6,000 startups, up 150% from previous years. Only a single-digit sliver of that capital is directed toward AI applications focused on solving social and environmental challenges. That gap is not an accident. It reinforces who AI is being built for, and who it's leaving out. And that failure is costing us some of the best and most-needed solutions being built outside of Menlo Park."
"When Temie Giwa-Tubosun started LifeBank in Nigeria, hospitals were running out of blood. She couldn't build for ideal conditions because ideal conditions didn't exist. Every assumption had to survive contact with reality: inconsistent power, fragmented logistics, traffic jams of mythical proportions, and hospitals that couldn't afford to wait. The result was an AI-enabled delivery network coordinating supply and demand across unreliable infrastructure, using a mix of routing software, local logistics, and last-mile transport-to move blood, oxygen, and medical supplies where they were needed most."
"They are now serving 3,000 hospitals with 24/7 service and delivery in under 45 minutes. Rather than slowing her down, the infrastructure clarified what the solution had to be. PROXIMITY IS EXPERTISE That is the mechanism that funders so often fail to recognize. Proximity to a problem is a form of expertise-one that compresses feedback loops, eliminates false assumptions, and produces solutions truly suited to the environments they're meant for."
"It should be a competitive advantage. Instead, it often functions as a disqualifier. These founders don't have the right ZIP code, the right credentials, or the networks their counterparts in San Francisco navigate by default. So a category of high-impact, technically credible, and commercially viable work gets systematically undercapitalized. The losses are not abstract. Proximity matters not only in physical systems like health logistics, but in preserving knowledge"
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