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The AI revolution did not only create new tools, new industries and new creative possibilities. It also created one of the greatest markets for bullshit in modern history.

Suddenly, everyone is an expert.

A few YouTube tutorials, several mediocre generations, a new LinkedIn headline and a vocabulary consisting of "disruption," "transformation," "agents," "future of work" and "exponential change" can now be enough to build an entire professional identity.

JebTo.AI and Other Bullshit is a provocative, satirical and brutally practical examination of the new professional class emerging around artificial intelligence: bullshit artists, self-righteous experts, opportunists, slop chasers, fear merchants, professional con artists and institutional donkeys who discovered that there is often more money in explaining the AI revolution than actually participating in it.

The lecture explores how uncertainty creates opportunity, and how technological revolutions produce not only innovators but entire ecosystems of intermediaries who monetize confusion.

Some build.

Some experiment.

Some fail, learn and build again.

And some watch three videos, generate a dragon wearing sunglasses, and two weeks later advise corporations, universities, cultural institutions and government agencies on the future of artificial intelligence.

This lecture is about the last group.

It examines the rise of confidence without competence: people whose visibility, certainty and ability to perform expertise have become more valuable than actual experience.

AI has made this phenomenon particularly powerful because the technology is developing faster than institutions, companies and the general public can understand it. That gap creates fear. And wherever fear appears, somebody eventually discovers how to invoice it.

The result is a growing economy of consultants, gurus, evangelists, course sellers, conference experts and professional futurists whose business model is not necessarily based on understanding technology, but on convincing everyone else that they are already behind.

They sell urgency.

They sell certainty.

They sell frameworks.

They sell transformation.

Sometimes they even sell the same publicly available tools back to organizations at extraordinary prices.

But behind the language of innovation there is often remarkably little innovation.

The lecture also looks at the rise of AI slop as a professional strategy.

Slop is not simply ugly AI imagery or badly generated video. Slop is a philosophy of production: creating more because production has become cheap, confusing quantity with creativity, speed with competence, novelty with value and technological access with talent.

When anyone can generate ten thousand images, one hundred videos, fifty business ideas or an entire presentation before lunch, production itself stops being impressive.

The scarce resource becomes judgment.

Taste.

Experience.

Context.

The ability to recognize what should exist and what should never have been generated in the first place.

The lecture argues that the Fourth Industrial Revolution creates a strange inversion.

As machines become more capable, human qualities become more important.

When execution becomes automated, the value moves toward direction.

When production becomes infinite, selection becomes critical.

When information becomes abundant, understanding becomes scarce.

And when everyone can look like an expert, actual competence becomes harder to identify.

This creates another problem: institutional expertise.

Large organizations, governments and traditional institutions are often structurally incapable of distinguishing between people who understand emerging technology and people who simply speak confidently about it.

The person who has spent years experimenting, building, failing and solving real problems may appear less convincing than someone with a polished deck, impressive terminology and absolute certainty.

The result is a world where people with very little practical experience can suddenly influence decisions about education, culture, regulation, innovation and public investment.

Not because they understand the future.

Because they learned how to perform expertise about the future.

JebTo.AI and Other Bullshit is therefore not an attack on artificial intelligence.

Quite the opposite.

It is an argument that AI is far too important to be left entirely to hype merchants, professional commentators and people whose primary skill is monetizing other people's fear of missing out.

The real danger is not that AI will make everyone stupid.

The danger is that it can make superficial competence extremely convincing.

The lecture asks a simple question:

What happens when the cost of producing something approaches zero, while the cost of knowing whether it is any good remains exactly the same?

And perhaps an even more uncomfortable one:

What happens when the people who understand a technology least become the people paid to explain it to everyone else?

The central thesis is simple:

The AI revolution did not make everyone creative. It made everyone capable of producing creative-looking things. Those are not the same thing.

And the biggest opportunity created by artificial intelligence may not have been artificial intelligence itself.

It may have been selling certainty to people who are terrified that they do not understand it.

Ultimately, this is a lecture about technology, opportunism, expertise, institutional stupidity, creative judgment and the oldest industry in human history:

bullshit.