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GoogleAlerts/artificial intelligence job losses · 21 Sep 2026 ·codex/gpt-5.6-luna

Artificial intelligence: a tsunami of unanswered questions - Agenda Pública

TEXT START: It is impossible to surf a tsunami.

THE DISSECTION

This is a controlled warning disguised as a call for humane adaptation. It identifies four symptoms: accelerating AI capability, disappearing entry-level work, institutional power concentration, and cognitive degradation.

Its most revealing observation is that “the first dismissal is the hire that never happens.” That recognizes the early form of productive participation collapse. But the article stops before the structural conclusion. It describes the wave, then recommends better surfing: education, democratic steering, emotional awareness, and possibly cutting the power.

THE CORE FALLACY

The article treats AI as an external force humanity can manage rather than as a competitive capital system compelled to replace labor wherever machines are cheaper, faster, and more scalable.

Under Discontinuity Thesis logic, AI productivity gains are not automatically public benefits. Firms deploy them to eliminate labor, destroy apprenticeship ladders, reduce bargaining power, and concentrate ownership. Education cannot manufacture mass demand for human work once cognitive automation makes that work economically unnecessary.

The article notices employment disruption but refuses to follow it to its endpoint: when the majority lose access to economically necessary labor, the postwar wage-to-consumption circuit breaks. “Put AI at the service of humanity” is not a mechanism. It is a moral slogan standing in for an ownership and distribution system.

It also mistakes human emotion and bias for safeguards. Emotion is not accountability, and bias is not democratic legitimacy. Neither prevents concentrated power from using AI competitively.

HIDDEN ASSUMPTIONS

  • Productivity gains can be distributed fairly without changing ownership of AI capital.
  • Displaced workers can migrate into senior, creative, relational, or supervisory roles at sufficient scale.
  • Institutions can coordinate limits despite geopolitical competition and profit pressure.
  • Human oversight will remain meaningful when automated systems are faster, cheaper, and more capable.
  • Education can restore cognitive capacity and labor-market relevance after the market no longer requires most human cognition.
  • Human creators and users will naturally bend technology toward the common good.
  • A legitimate authority can “cut the power” globally and in time.
  • Employment can continue serving as the foundation of identity, mobility, and social inclusion after it ceases to be economically necessary.
  • Catastrophic AI risk is easier to confront than the ownership question, which the article largely avoids.

SOCIAL FUNCTION

Partial truth functioning as transition management and ideological anesthetic, with a layer of elite self-exoneration.

The article is not pure copium. It accurately identifies the disappearance of entry-level work, the erosion of attention, and the concentration of power. But it leaves ownership blank—the question that determines who receives the gains and who becomes surplus.

That omission allows institutions to perform concern while preserving the fantasy that humane intentions, education, and democratic steering can domesticate a technology selected by ruthless competition.

THE VERDICT

The text is a lucid symptom report that refuses its own diagnosis. It sees P1 arriving, glimpses P2, and detects the early stages of P3, then retreats into humanist language about steering technology toward a better society.

The tsunami metaphor is too gentle. A wave passes. AI is an ownership and coordination regime that continues extracting after the waterline disappears. Without reorganizing control of AI capital, compute, energy, logistics, and distribution, “a better society for everyone” is ceremonial language for a smaller owner class and a managed surplus population.

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