The growing market for AI expertise has a familiar smell: urgency, mystique, authority, and a subscription button.

I don’t object to people being paid for serious intellectual labor. Their efforts in terms of books, papers, and essays should be compensated. But the sales pitch shouldn’t seduce readers into dependency. Just as in any intellectual endeavor, there are no oracles, gurus, or messiahs in the field of artificial intelligence.

No one has wisdom so rare that the rest of us need to sprint toward their paywall. No one has a private key to intelligence, consciousness, creativity, or the future of work. At best, they have arguments, frameworks, interpretations, and experience. Those may be worth reading. They may even be worth paying for. But they are not revelation.

The marketplace for AI knowledge is increasingly filled with people selling not understanding, but urgency: to subscribe, to automate, to grow an audience, to believe that the next expert has a private key to the future. The fear of missing out (FOMO) is very real. But urgency isn’t the same as evidence, nor sales pressure the same as substance.

Knowledge should circulate and be debated and argued over. It should be published and peer reviewed, quoted and cited. It shouldn’t have limited time offers or high pressure sales.

Evaluate claims with discernment. Don’t believe someone’s claims just because they sound convincing. Weigh them carefully against these five criteria.

Five criteria for discernment

1. Paid work should offer substance, not snake oil

Books cost money. Courses cost money. Serious essays take time. A paid subscription is not automatically exploitative. But payment raises the burden of substance. The paid work should offer substantial value: clear reasoning, useful frameworks, careful teaching, or genuine synthesis, not just polished words and hype.

2. Authority is not the same as wisdom

A degree, title, follower count, or technical vocabulary might signal competence, but it doesn’t guarantee it. It especially doesn’t justify exaggerated certainty about AI, consciousness, intelligence, or guaranteed audience-building schemes.

3. AI literacy should make people less dependent, not more

A good teacher gives readers better tools for judgment. A bad one makes readers feel perpetually behind, perpetually inadequate, and perpetually in need of the next paid unlock. Be careful you don’t find yourself on a slippery slope of trying to reach for the teacher’s nuggets of wisdom and instead finding more promises, more performance, and another paid unlock just around the next bend.

4. Audience growth is not the same as contribution

The obsession with hooks, follower counts, and automated content production treats writing as bait. But a million followers isn’t proof of depth, it’s a distribution metric. For serious intellectual work, the right readers may matter more than the largest possible crowd. And to get the right readers there must be quality content not just hooks and words without substance.

5. Knowledge should circulate

The best version of paid intellectual work doesn’t hide the central claims from the world. It may charge for structure, synthesis, teaching, workshops, or polished guides, but the underlying ideas should still have a public life. Be certain this person has built the knowledge base they claim by looking for books, publications, public essays, technical work, teaching materials, or other evidence of sustained contribution.