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Madrona research shows that companies continue to increase their AI budgets, but are reassessing vendors at an accelerating pace and are not moving most projects from experimentation to full production. This makes startups’ high ARR figures less secure and pushes them to tie pricing to practical outcomes rather than usage alone.