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AI: A Tool for Human Augmentation — Not End-to-End Automation

4 min read

Why Replacing Humans with AI Is a Strategic Mistake

2 min read

Neuromorphic Computing 101 – Why the Future of Enterprise AI Looks More Like the Brain

2 min read

Beyond LLMs: Building Brain-Inspired AI for the Next Era of Enterprise Intelligence

6 min read

How Artificial Intelligence is Transforming Businesses in Mexico, the United States, and Canada

3 min read

In a recent study from the Stanford University SALT Lab (Shao et al., 2025) titled "Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce", the authors offer a thoughtful, data-driven assessment of how AI agents map to real human work. In this post, I summarise the paper's key findings—and situate them within my own AI philosophy and approach at Accéder, where I firmly believe that intelligent machines should augment human.

Spiking Neural Networks – From Research Curiosity to Enterprise-Grade Advantage

Introduction: A New Kind of Neural Network For decades, Spiking Neural Networks (SNNs) were primarily studied in neuroscience as models of how biological neurons communicate. The complexity of their training limited their commercial potential—until recent breakthroughs in algorithms and neuromorphic hardware changed the game. Today, SNNs can be trained using surrogate-gradient methods and hybrid ANN→SNN conversion, running efficiently on GPUs or on emerging neuromorphic platforms.

Agentic AI: The Excitement, the Anxiety, and the Leadership Gap

A deep dive inspired by EY’s latest Agentic AI in the Workplace report by Oscar González Iñiguez (OGI) – Founder & CEO, Accéder. Artificial Intelligence has finally entered its Agentic phase — where AI systems go beyond simple tasks to act, reason, and decide alongside humans. And according to a major new study by Ernst & Young LLP (EY US), employees are not resisting this evolution. In fact, 84% of workers are eager to embrace Agentic AI in their roles. But here’s the paradox.