AI: «It’s not TECH, ………, It’s LEADERSHIP!!!»

AI works. The technology is not the bottleneck! 80,3% of AI projects fail to deliver their intended business value. Of those failures, 33.8% are abandoned before production, 28,4% reach completion but don't deliver any value, and 18.1% deliver marginal output that cannot justify the cost. Only 19,7% achieve their objectives. The organizations that get the processes and measures right will compound their advantages. The ones that keep treating AI as a technology procurement exercise, launching pilots without metrics, losing executive interest after the initial announcement and underinvesting in the human side of the equation, will keep feeding the 80% failure statistic.

GOOG, AI Y LOS BUENOS RESULTADOS

Alphabet (GOOG) acaba de publicar unos ingresos de 109.900 millones de dólares en el primer trimestre de 2026, un 22% más interanual, y la acción reaccionó muy positivamente, con más de un 10% de revalorización en la semana. Los titulares anunciaban un incremento del 82% en el BPA hasta los $5,11. Sin duda, un trimestre fabuloso. Pero cuidado porque una parte sustancial de esta "sorpresa" no es lo que parece...

IS THE AI MACROECONOMIC SINGULARITY MISPRICED?

Are we cruising at a steady 3% "World IMF" baseline, or accelerating into a 7% "World ARK"? Cathie Wood argues that AI is a catalyst for robotics, energy storage, and genomics, potentially doubling corporate valuations through a mathematical re-rating most investors haven't fully grasped. From turning unpaid household labor into $720 billion of measured GDP to a "deflation paradox" that boosts corporate margins, the bull case for this transformation could be truly impressive. But history offers a reality check and no previous revolution, not even the internet, has sustained 7% growth. Between AI’s massive energy appetite and looming regulatory hurdles, the path to a "Macroeconomic Singularity" is far from guaranteed. While the 7% scenario isn't certain, the article suggests that having zero exposure to these leaders could be a catastrophic risk if the visionaries are even half right.

¿ESTAMOS PREPARADOS PARA EL FUTURO DE LA IA?

¿Estamos de verdad preparados para el cambio que supone la IA? La adolescencia tecnológica es una fase crítica. No basta con admirar el potencial de la IA, debemos entenderla, adoptarla y adaptarla, gobernarla, y, sobre todo, integrarla con propósito y humanidad. La IA no es una herramienta más, es una infraestructura crítica comparable a la electricidad. Ello exige dejar de ver la IA como un proyecto de IT para verla como el motor de una nueva era competitiva y organizacional.

LA NUEVA MENTE DEL MERCADO: CÓMO LA IA ESTÁ REVOLUCIONANDO LAS FINANZAS DEL COMPORTAMIENTO

Artificial intelligence is a double-edged sword in the world of finance. It offers an incredible toolkit to diagnose and correct our most ingrained behavioral flaws, potentially making investors more successful. Yet it also introduces novel risks by becoming an actor in the market itself, complete with its own systematic machine biases and the frightening prospect of algorithmic herding. The line between human and machine decision-making in finance is blurring, creating a new market ecosystem defined by their interaction. The new market mind is here, and whether it leads to a more rational market or new forms of systemic fragility will depend entirely on the behavioral wisdom we embed in its code.

Summer readings – authors worth to be read

Looking to read this summer and actually make it worthwhile? This isn't another "top 10 books to read" list. We're taking it a step further. This summer, don't just pick books. Pick minds. Choose authors whose thinking will challenge yours, reshape how you work, decide, invest, and make sense of the world.

When an AI Outperforms 93% of Fund Managers!

For decades, financial theory has rested on a central axiom: public information is free, symmetric, and quickly incorporated into prices. Under this premise, investors shouldn’t be able to generate sustained returns using data available to everyone. However, a recent study by Ed deHaan, Chanseok Lee, Miao Liu, and Suzie Noh (Stanford and Boston College, 2025) challenges this idea with a compelling experiment: an AI that, relying solely on public data, systematically improves the portfolios of thousands of real-world funds.

LIVE, WORK AND THINK WITH AI

Co-Intelligence, by Ethan Mollick, shows how generative AI is reshaping both personal and professional spheres. Through four heuristic rules and five operational roles, the author provides a practical playbook for boosting individual creativity, critical reflection, and decision making, while warning against blind reliance on language models.