There is a moment when technology becomes new and becomes infrastructure. The internet was. It was a move. And artificial intelligence, especially generative, crosses this boundary. So proceed to discuss whether IA will be connected and how to discuss electricity. What is worrying is the actual implementation as well as the economic, environmental and social impact on companies, regions and people. Here is the real question: How much AI does each person use? I’ll put it more economically: AI per head.
I like this concept because it’s uncomfortable. It forces you to leave the titles (“AI will take care of everything”) and return to the terrain of the competitive game: real use, frequency, goals, results. Y, above all it obliges you to introduce a design with a new metric that does not appear in word form, but that works for you.
Anthropic’s economic index, based on data from patrons using its IA Claude product, is clear from the start: IA does not spread like a gentle rain, but rather like a goteo riego that binds more to one than others. It is used worldwide per capita is strongly associated with PIB per head, and the informant suggests it not observe convergence signals between the countries that use artificial intelligence the least and the countries that use it the most. In other words: AI that promises to democratize capabilities risks turning into a multiplier of existing disruptions.
And it’s not just a map of the country. In the same country, adoption also depends on tejido production. Anthropic monitors, for example, what it is used for per capita Here the structure of the work involves more computer and mathematical matters. No, because those people are more “digital” until they get better at what AI does today: writing, programming, analyzing, synthesizing, documenting.
This brings us to the point that many people pass by: AI doesn’t count on professions, it counts on tareas. The economy transforms as the area changes costs and speed. If you are ready to summarize a report, prepare a business proposal, translate a document or generate a technical description in 15 languages in this part of time, what changes is not the text: processes, messages, prices and response time change. Change the competence. Change quién puede offerer qué.
That’s why it’s so helpful that Anthropic suggests considering adoption with what it calls “economic primitives”: not only Pin if he uses up to this type of tareas, with that complete, with that degrees autonomy with that exit.
This separates two worlds that are constantly confusing: using the tool as an attachment to create more text, and using the tool as a palette for improve decisions y redo work. This means that it is not the same as digitizing a process, transforming it into something optimal using digital technologies, but it is the same with AI. It’s not about getting an answer faster, it’s about knowing how to change your questions to get a better answer.
Artificial intelligence further improves production and reduces disruption and is explained by methods: training, validation culture, integration into processes, clear accountability. In this case, the effect could be the opposite: people who produce more but take less; organizations that are faster but more expensive; teams that delegate criteria and locations are surprised when the result does not reach the audience.
Here the discussion calls for a concept that, in my opinion, should be at the heart of any territorial strategy: Talent Interior Brutus (TIB). TIB focuses on the human capabilities that enable us to turn technology into value: creativity, innovation, adaptability, critical thinking, emotional intelligence.
I’ll put it simply: AI per head and performance; The director is Talento Interior Bruto. You can increase the AI per capita and in this case it is certain that what can be done replaces automatic learning. Or you can increase the AI per capita and prosper yes, at the same time raise TIB: greater ability to think better, work better and create better.
So when someone asks me “what are we doing with AI?” the answer is less technological and more strategic. This is not a DIY organization training. As for his promotion quality use: areas where it brings real value, with supervision, with standards, with ongoing training. As for turning the AI into a capacity augmentation system, not a power plant.
Artificial intelligence per capita is growing. It seems inevitable. This question will grow as a new form of design or as a new infrastructure of shared production. And unfortunately, a gauge that doesn’t appear in classic stages, Brutus Internal Talent, can be a factor in deciding which step and which one should watch others speed up.
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