The Single-Vendor Ceiling - We began Gysho’s R&D and early projects with a single cloud provider. OpenAI offered the strongest reasoning and instruction-following capabilities at the time, and standardizing on one API let us ship fast. Over three years, however, the trade-offs crystallized into operational friction.
Vendor lock-in becomes a structural risk. Pricing changes, token-rate revisions and model retirements arrive without alternative paths. Engineering teams organized their prompting patterns and output parsers around one schema, which made any thought of migration expensive and painful. More importantly, we hit a hard ceiling on data control. Every prompt traveled outside our network, which meant sensitive context had to be carefully filtered or omitted entirely. Rising inference volumes translated directly into rising bills with no lever to pull except usage restrictions.
Analysts now describe this inflection point as inevitable.
Gartner notes that 2026 is the year AI sovereignty shifts from preference to mandate, with fragmentation into regional blocks already underway. The Deloitte State of AI 2026 survey of 3,235 leaders confirms the pattern: 83 percent view sovereign AI as strategically important, 77 percent factor a vendor's country of origin into selection decisions, and 73 percent cite data privacy and security as the top AI risk. Yet only 21 percent report mature governance models, and 58 percent are building primarily with local vendors.
We reached these conclusions earlier than many, but we were not alone.