Imagine a cena. Você está numa sala de reunião falando de estratégia com sua diretoria. As prioridades já estão bastante definidas: tem cinco grandes frentes estratégicas, cada uma com seu roadmap, seus OKRs, seus desafios. Lindo. Aí entra a tal da IA. E não como uma promessa distante — mas como uma necessidade urgente. Todo mundo sente: chegou a hora. Só que aí surge a … Continue reading AI-First? Mas estratégia vem antes
“La mente no termina en el cráneo. Se expande en herramientas, notas, rutinas… y ahora, modelos de lenguaje.” — Andy Clark (traducido sin permiso, porque pensar es libre) Otro informe, otro titular catastrofista (o no, el tiempo lo dirá…) Esta vez lleva sello MIT: midieron cómo reacciona el cerebro al escribir con y sin IA. Resultado: quienes escriben con IA sin criterio recuerdan menos y … Continue reading La IA no viene a sustituir—viene a escalarte.
…More Than Executives? In consulting and other knowledge industries, the traditional model has always followed a clear path: junior employees process information, middle managers synthesize it, and senior leaders make the final calls. Experience and hierarchy went hand in hand. But that structure is starting to break. Thanks to generative AI, interns and entry-level analysts now have access to tools that allow them to move … Continue reading What Happens When Interns “Know” …
Once, the internet was just noise. Memes flew, videos spread, screenshots lived forever, and no one asked where anything came from. Authorship was invisible, truth was optional, and we laughed our way through the chaos. But now, the joke’s over. We’re drowning in synthetic content. AI can fabricate anything—faces, voices, evidence, entire narratives—with precision that fools even trained eyes. The internet didn’t evolve into a … Continue reading Deepfakes, Data Lies, and the Digital War for Reality
The Quiet Emergency Behind the AI BoomEveryone is excited about AI breaking records, writing code, designing new medicines, and maybe even thinking like us. But there is one big problem growing behind all of this: electricity. For example, training GPT-3 used 1,287 megawatt-hours of energy—enough to power 100,000 homes. Every time someone asks ChatGPT a question, it uses about five times more electricity than a … Continue reading AI Wants to Eat the Grid: Will Humanity Feed It or Fry First?
Jose Larrucea 
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