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Writing

What I think, in writing and out loud.

Every month I write in El Economista about what AI is changing in companies. It's the best way to see how I work before we talk. The columns are in Spanish.

Talk · June 2026

La era de la escasez

Why today's wealth depends on intelligence being scarce, and what to do when it stops being so. In Spanish.

Miguel Martín Lacoma on stage during the talk "La era de la escasez"
  1. La empresa que aprendió a dormir

    Recording has become almost free, so companies remember far more but know no more. They need a consolidation shift that decides what becomes judgement and what gets discarded.

  2. La empresa que nadie decidió vaciar

    Asking for a human click on every action produces fatigue, not control. Oversight changes jobs: from operating to governing. And without junior work, where will senior judgement come from?

  3. La edad de la escasez

    Wealth is energy times intelligence, and today's wealth depends on intelligence being scarce. That is ending, and so is software designed to be operated by a person.

  4. El día en que las empresas empezaron a vivir

    Companies with their own nervous system, where employees become tutors of the system. Three steps: consolidate the data, connect the present and start teaching.

  5. Inteligencia sin sistema nervioso

    Companies buy powerful brains and wire them to an atrophied nervous system. Their problem is not artificial intelligence. It is plumbing.

  6. La semana en que la IA dejó de disimular

    A week of AI geopolitics, from the Pentagon to helium. Spain has the oil but lacks the pipelines.

  7. El cursor que nadie usa

    A blank chat box is useless if nobody knows what to type. The tools that work do not sell access to a model. They sell context.

  8. El fin de la burocracia digital

    From assistance to delegation: ephemeral software built for one task, with a person in the loop by design.

  9. La empresa que dejó de olvidar

    Companies do not know what they know. A corporate second brain keeps what was learned from depending on who was in the meeting.

  10. El conocimiento como código

    Code as a way to store a company's know-how, so that it grows instead of getting lost.

  11. El día que vi morir a una empresa

    Five lies companies tell themselves about AI, and four pillars to avoid them: culture, processes, data and infrastructure.

  12. La última frontera humana

    Humanoid robots will force us to rediscover what being human means. The future does not need your muscles. It needs meaning.

  13. El poder de los asistentes

    There is no need to wait for the next model: most of the value lies in capabilities that are already mature.

  14. La llegada de los agentes

    When AI moves from assisting to replacing. Three scenarios for companies that have not moved yet.

  15. ¿Estás preparado para un cambio de 'status quo'?

    AI-centred companies versus people-centred ones, and the human role as strategic and ethical guardian.

  16. El caos de la información y la respuesta humana

    Almost all the world's information is unstructured, and for the first time there are agents able to learn from it.

  17. La paradoja de las curvas exponenciales

    Our intuition is linear and AI progress is not. That is why it always arrives sooner than we expect.

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