The core argument is that the “AI is fake” take is wrong and is misleading investors, because new technology adoption usually takes years or decades before value shows up. The counterpoint is that AI should not be judged on immediate company-level returns, since even the internet and CRM took long onboarding periods before users extracted value. The debate is framed around Jon Stewart, Ed Zitron, and a viral anti-AI clip, but the conclusion is that dismissing AI as non-productive is the bad call. The final thesis: AI is a multi-decade rollout, not a 1–2 year test.
Jon Stewart and Ed Zitron are at the center of a viral AI debate clip.
Ed Zitron is called "the most wrong person in 30 years of watching the market," with the claim that "basically everything that comes out of his mouth a year later turns out to be wrong."
The anti-AI bar is said to move every 60 to 90 days: first "LLMs will never get any better than they were like 2 years ago," then, after that fails, the argument shifts again.
The line between AI doom and AI denial is drawn sharply: saying AI could kill the world is treated as a meaningful tail-risk view, while saying AI is "not real" and produces no value is labeled a bad claim.
The "AI is fake" argument is called "objectively wrong" and said to be misleading "millions, tens of millions of investors" who only see that framing on X.
On X, many investors are said to come away thinking AI is "all a big bubble" because of algorithmic exposure to that view.
Finance is described as circular, so the real question is whether the spending creates "meaningful value to the end user."
Companies can spend for a decade on a new technology before the value shows up beyond the spend, especially in the early phase when a larger industry requires more upfront investment to get set up.
Expecting incumbent companies to get AI benefits "immediately, within the next one to two years" is called "absolutely insane."
The internet is used as the example of a long adoption cycle: companies spent years onboarding before they saw value.
Failed AI companies are compared to internet bubble companies that "don't exist" anymore.
CRM adoption is cited as a concrete case: some companies spent up to two years on change transformation to onboard Salesforce, then needed another year before employees used it correctly.
That CRM example implies roughly two to three years before a company got meaningful benefit from a single software platform customer relationship management.
The bottom line is that AI is a "multi-decade journey," not a short-cycle trade.
"No, guys, this is a multi-decade journey that we're on" is the closing frame for AI adoption.