Tag: Artificial Intelligence

Car Wash Test: AI’s Benchmarks Meet Basic Common Sense

AI development is changing at a rapid pace. What doesn’t work today will work tomorrow but might not work the day after. A deceptively simple question has recently gone viral, exposing a critical weakness in even the most advanced AI models. “I want to wash my car and the car wash is just 50 meters…
A Practical Framework for Evaluating Bias in AI Product Features

AI bias in product features is a business risk. When AI systems make unfair decisions, recommend irrelevant content to certain user groups, or fail to serve diverse populations equitably, the consequences extend far beyond PR crises. Organizations face legal liability, revenue loss from alienated customer segments, and erosion of brand trust that can take years…
7 Hard-Earned Lessons for Building AI Products That Actually Work

Building AI products isn’t just traditional software development with a fancy new API. The fundamental nature of these products is different, and the development practices that worked for decades suddenly don’t apply. Here are seven lessons that separate AI products that thrive from those that flounder. 1. AI products break traditional development assumptions AI products…
Top 5 AI Trends 2025: How Artificial Intelligence Is Transforming Business and Technology

As we navigate through 2025, artificial intelligence has moved decisively beyond the experimental phase. The technology that captured headlines with impressive demos is now delivering measurable business outcomes and solving real-world problems at scale. For technology leaders and practitioners, understanding these emerging trends is about positioning for the fundamental transformation reshaping how we work, innovate,…
The AI Underground: How Fear of Professional Judgment Drives Innovation into the Shadows

According to Pew Research, two years after ChatGPT’s launch, only 16% of American workers use AI for work, despite 91% being allowed to. While organizations pour resources into AI initiatives and worry about unauthorized usage, they’re missing a more fundamental truth: many employees are choosing not to use AI at all, even when explicitly encouraged…
When AI Malfunctions: Lessons from Psychopathia Machinalis

When most people think about AI risks, they picture dystopian headlines: rogue chatbots, runaway drone swarms, machines outsmarting their creators. These are dramatic stories, full of cinematic flair. But peel back the drama, and you can find a different story emerging. One not of Hollywood-style superintelligence, but of small, patterned missteps. Of hallucinations that slip…
Your Next Big Mistake Might Come From AI That Never Disagrees

In boardrooms across Silicon Valley and beyond, executives are increasingly turning to AI for strategic guidance, market analysis, and decision support. While the tech world obsesses over hallucination, when AI models fabricate information, I believe sycophancy will emerge as the more dangerous threat to business leadership. Here’s the distinction that matters: an AI system that…
AI Hasn’t Transformed Business Yet

AI was supposed to change everything overnight. Instead, two years after ChatGPT’s launch, we’re still waiting for the economic revolution. The reason isn’t that AI isn’t good enough, it’s that we haven’t figured out how to deploy it where it matters most. For AI to create rapid, widespread economic impact, it needs to hit three…
Building Beyond AI

As AI automates more business functions, smart technology leaders are asking a different question: What can’t AI do? While almost all companies invest in AI, just 1% believe they’re at maturity. The real opportunity isn’t perfecting AI implementation, it’s building on what AI fundamentally cannot do. The work tasks that AI is least likely to…
The Vibe Coding Revolution

How AI-Assisted Development Is Reshaping Software Economics In February 2025, AI researcher Andrej Karpathy introduced a term that has since rippled through Silicon Valley boardrooms and development teams worldwide: vibe coding. The concept describes a radical departure from traditional software development, where instead of writing code line by line, developers describe what they want in…