Romer's Theory: Your "Know-How" is a Stranded Asset
To understand why your technical skills are worth less and less in the market, we must turn to the Nobel Prize in Economics.Paul RomerHis theory of endogenous growth distinguishes between "instructions" (recipes/ideas) and physical execution.
Historically, "instructions" required highly skilled humans to be implemented. The programmer, the data analyst, the systems engineer—we were the necessary translators, the costly bottlenecks. Our fee depended on the implementation friction.
Today, with agent systems capable of reasoning, iterating, and deploying solutions,The marginal cost of technical execution has collapsed to zeroIn financial terms, procedural technical knowledge is becoming aStranded Asset (Stranded AssetJust like an oil reserve that is no longer profitable to extract, your technical knowledge still exists, but the market has stopped paying a premium for it.
Modalidad: Online
Duración: 1500 horas
Créditos: 60 ECTS
Moravec's Paradox: The Trap of Complexity
Many technical professionals take refuge in the complexity of their fields, believing themselves immune and irreplaceable to automation. This is a miscalculation based on ignoring theMoravec's Paradox.
Hans Moravec, a pioneer in robotics and AI, discovered a counterintuitive truth in the 1980s:
- What isdifficultFor humans (advanced logic, algebra, code optimization, financial derivatives analysis) it is computationallytrivialfor the machines.
- What iseasyand natural for us (perception, ethical judgment, empathy, strategic intentionality) is immenselydifficultfor AI.
The Autonomous Agent revolution has reached the top of Moravec's pyramid. The machine no longer needs you to write the code (the "hard" and logical part); it needs you to define the purpose (the "easy" and human part). If your professional value lies in syntax and not semantics, you are redundant.
From Syntax to Semantics: The End of the Intermediary
Jensen HuangNVIDIA CEO, has put it with brutal clarity:"The programming language of the future is human language."But this goes beyond Natural Language Processing (NLP). It's about the transition to aEconomy of Intention.
In the previous model (Software 1.0 and 2.0), the merit lay in building the bridge. In the new paradigm, AI builds the bridge instantly. Human merit—and economic value—shifts radically to:
- Decide if the bridge is necessary.
- Determine which territories it connects.
- Take ethical responsibility for its use.
The research inLarge Action Models(LAMs) suggests that we will soon stop interacting with software through graphical interfaces. We will delegate objectives to agents. The layer of technical abstraction, which was my domain and your shield for years, is becoming invisible.
The Emergence of the "Architect of Intentions"
Scientific and economic evidence suggests that clinging to technical execution is a losing strategy ("Shortening the future"). The great obsolescence is unforgiving.
However, this opens the door to an unprecedented opportunity for the higher human intellect. By freeing ourselves from the tyranny of the "how" (syntax, code, processes), we can focus exclusively on the "what" and the "why."
The future belongs not to the engineer who best optimizes the loop, but to the strategist who makesthe best questions.We ceased to be operators of logic and becameArchitects of Intentions.
And you, are you still investing in skills that Moravec's Paradox has already discounted, or are you ready to lead inthe era of intention?
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