Over the past decade, most major tech firms — including Microsoft, Amazon, Google, Tesla, IBM, and Duolingo  — have pursued automation as a way to cut costs and increase productivity. Yet today, many are quietly reversing course. According to Economy Media Research , nearly 55% of companies that replaced human workers with AI now regret the decision . Why? Because AI, when used as a substitute for human judgment, tends to amplify fragility rather than resilience. The Illusion

1. Introduction: AI Meets the Brain Modern AI is still built on computer architectures designed decades ago for spreadsheets and databases. CPUs and GPUs execute tasks sequentially or in large matrix batches—fast, but power-hungry and inefficient for real-time, always-on industrial environments . By contrast, the human brain runs billions of neurons on roughly 20 W of power  and reacts to events almost instantly. Neuromorphic computing  aims to bring this brain-like efficienc

The Current Power of LLMs in Enterprise AI Over the past few years, Large Language Models (LLMs) have reshaped how enterprises think about AI. The enterprise LLM market  is growing explosively. In 2024 it was estimated at around US$4.6 billion  and is projected to reach more than US$41.6 billion by 2033 , with a CAGR of ~28.3 % . Some reports estimate broader LLM / generative AI segments at CAGR ~36.9 %  through 2030. Meanwhile, the broader enterprise AI / software market  i

The adoption of artificial intelligence (AI) is rapidly reshaping the productivity landscape across North America. Mexico, the United States, and Canada are at the forefront of this transformation, with an increasing number of organizations integrating AI technologies to optimize operations, reduce costs, and remain competitive in the global market. The Case of Puebla, Mexico: A Transformation Model In Mexico, Puebla stands out as a leader in this movement, with over 75,000 b