Been sitting with this a couple weeks, curious if others are seeing the same pattern. We finally ran a real comparison at work. Tested claude against a few Chinese frontier models on our actual production coding tasks, deepseek, qwen, glm-5.2. the quality drop moving off claude was real but small enough that the cost delta made the switch obvious for most of our workloads. we kept claude for the hardest stuff and moved the bulk to cheaper alternatives. What stuck with me isn’t the switch. Its that nobody had done this audit until we did. Thousands of companies are paying premium pricing right now, not because they compared and decided the premium was earned, but because switching feels like work and the current setup works fine. that isn’t a moat, it’s inertia. Inertia breaks eventually. It takes one high profile enterprise publicly rebalancing to alternatives and everyone runs the same audit within a quarter. These cascades are how markets reprice. once it starts, premium pricing falls fast, because the premium was never load-bearing on model quality, it was load-bearing on the fact that nobody was checking. The awkward part is that the whole US AI valuation story assumes the moat holds indefinitely. Anthropic and openai are worth what they’re worth because the market prices in durable premium pricing. If the moat is actually inertia, that assumption is doing a lot of quiet work. Not saying claude is going away or the labs are in trouble. Saying the pricing power everyone assumes will hold might be more fragile than the valuations suggest. Do you think current US AI valuations are pricing in the audit cascade risk, or is everyone still assuming premium pricing holds because the last two years went that way? submitted by /u/Suspicious_Pizza9529
Originally posted by u/Suspicious_Pizza9529 on r/ArtificialInteligence