The illustration shows a farmer at the beginning of the last century speaking to a horse: “A tractor will not do your work, but another horse will do very well with a tractor.”
The joke has been circulating on the networks for several months and refers to one of the biggest platitudes in the discussion about technology at the moment: that it is not an AI that is taking our jobs, but another human who is familiar with AI tools.
It could be a phrase designed to create fear and sell courses on how to use ChatGPT, Gemini and other applications. And it can also be comforting because it implies that if you have the ability to adapt, you will be safe. But according to experts like Indian Sangeet Paul Choudary, expert in “platform economics,” professor and author of several books, This is a false, useless and even dangerous statement.
In an essay on “Myths and Fallacies About AI,” Choudary points this out “It’s not just about whether AI helps someone do their job faster. Many tasks will simply be eliminated. What changes is not how efficient you are, but whether the set of tasks makes sense in the new system.”.
In short, the Indian expert claims: “(More) productivity won’t save you. Just because you are more efficient – or someone is more efficient thanks to AI – does not mean that your work continues to exist or that you retain its value. The value is transferred to whoever designs, orchestrates or controls the system, not to the individual worker.” We are not competing with someone else who is using AI better, but with another new paradigm.
The idea applies to people and also to companies that see the current wave of change only as a dynamic of automation. Training an employee to do ten times more things than before without considering that, as Choudary says, all this flow may soon no longer be necessary. Determining what lies “beyond automation” has become the treasure at the end of the AI revolution’s rainbowalthough of course it is much easier to say it than to determine it and act accordingly.
After World War I, France ordered the construction of a series of fortifications that became known as the “Maginot Line”: “A perfect defense for a type of attack that no longer existed.” New aircraft and tanks in the enemy forces made this system, which would have served 20 years earlier, obsolete in the Second War. The strategy of learning infinite tools for adaptation could be a new Maginot Line of the labor market.
“LLMs and AI in general provide the most likely outcome, The big challenge now is to scale the genius“Alexander Cohen, CEO of 4by9, tells LA NACION. “Many current AIs, although powerful, lack ‘expert reasoning’ in specialized areas.” 4by9’s goal would be to “build a platform that bridges this gap,” starting with patents and intellectual property, an area where it believes precision and expertise are of great importance.
Cohen has a profile that oscillates between programming and the world Nerd (he knows how to put together a Rubik’s cube) and the artistic field (he teaches film courses at various universities on the West Coast). Last week, along with other Silicon Valley figures, he attended AIM Chihuahua, an event that brought together experts from Microsoft, OpenAI, Google, Tesla, Brookings and other leading organizations in the field.
Cohen asks himself every day: “What comes after automation?” and by “scaling genius” he means “the codification.” expertise human”: how to get ChatGPT and other LLMs producing Insights of very high quality, instead of the canned and average answers they give today (Publicist and AI expert Fernando Barbella calls it “ChatoGPT” because the ideas it produces are shallow.) By “genius,” Cohen means an overall mix of talent and talent expertiseCreativity and the ability to solve highly complex problems.
The speculation with the question “what lies beyond automation” points to a debate that is already located in the philosophical realm. Nick Bostrom one of the world’s most influential philosophers on topics of technological futures, existential risks and superintelligence; In addition to his work as director of Institute for the Future of Humanity from Oxford was one of the first to warn that advanced AI was not just an automation tool but a potential “species changer”: a technology that, once deployed, could reconfigure all others. His most famous sentence –“Machine intelligence is the last invention that humanity will ever have to make.”– refers not to fatalism, but to a counterintuitive idea: when intelligence becomes reproducible, scalable and self-improving, the engine of progress ceases to be individual human ingenuity and becomes an artificial cognitive system with much faster innovation cycles. For Bostrom, Thinking beyond automation means imagining a world in which production, science, and even culture are transformed not by marginal efficiency but by a qualitative leap in who (or what) generates new knowledge..
The pace of change has accelerated so much in the second half of 2025 that even the vocabulary changes every three months. If there was talk of “engineers in” in 2024 Prompts“To refer to “AI orchestrators,” the term “AI whisperers” came into vogue last summer, later mutating to “AI whisperers.”Vibe workers“. The new fashion is to refer to the “Mood worker of AI” as “chimeras”: a chimera in the world of AI and the job market is a metaphor to describe the new “extremely hybrid” professionals: people who combine two or more specialties that previously lived in silos (for example, a programmer-designer, a psychologist-engineer Promptsan AI economist and curator, a teller-data scientist). Just like the mythical creature, which consists of parts of different animals, these combinations are created Skills that cannot be reproduced by generalist AIdifficult to automate and very valuable in the coming economy.
Over the past month, several articles have appeared in leading media outlets in the United States and Europe discussing “chimeras,” such as employees not being twice as productive but being 10 or 100 times more productive. and what challenges they pose for HR areas. How are they held, how is this done so that conflicts do not arise with them? manager less prepared for what can arise from this combination between unique superpowers and lack of judgment or experience. Beyond the mythological and fictional terminology, several technology companies are already reporting the presence of “chimeras” in their teams, where two or three people, with the help of autonomous agents, are responsible for tasks previously carried out by dozens or hundreds of individuals. The word “chimera,” by which we do not refer to an “unattainable and impossible dream,” now enters the realm of reality and becomes a sign of the times.
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