People do not believe AI is a bubble because they are too dumb to understand the technology. They believe it because AI companies keep selling it like a bubble. That is the problem.
AI companies talk like they are building the next layer of civilization, but behave like they are shipping unstable SaaS experiments: products that get renamed, nerfed, rate-limited, deprecated, or replaced before users can trust them.
Google I/O 2026 felt like the latest example. Google should be one of the dominant AI players. It has the talent, infrastructure, data, research history, and money. But Google has a product trust problem.
Same cycle over and over: launch something flashy, ship it incomplete, fail to support it properly, let it rot, then replace it with a new name or new app that does something similar. A rebrand is not maintenance. A revamped name is not reliability. A new AntiGravity installer is not a commitment.
And this is not just Google. It is the whole AI industry. Companies keep pushing demos, gamed benchmarks, branding, rate-limit games, vague tiers, and quiet model changes. Users notice when quality drops, latency changes, limits tighten, or a product suddenly behaves differently.
In serious business or engineering contexts, suppliers are expected to provide stability: clear terms, reliable service, predictable limits, maintained products, transparent pricing, and long-term availability. A small slip in that sense, and you start losing clients and your reputation sinks you.
Trust does not come from another theatrical demo. It comes from commitment.
Give people a product, a model, stable limits, a clear price, and a promise that it will keep working. Support it. Maintain it. Document changes. Stop silently swapping the engine and pretending nothing happened.
I am not anti-AI. I think the technology is real and useful. That is why this is so frustrating.
The industry is creating its own bubble narrative: overpromise, underdeliver, rename, repackage, change terms, and expect everyone to keep believing.
People are not being irrational, and AI labs deserve this.
Maybe they think AI is a bubble because AI companies keep acting like it is one.
AI does not need more magic tricks.
It needs reliability, transparency, support, and product discipline.
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