AI Hall of Mirrors: 5 AI Adoption Gaps Leaders Need to Know

AI Hall of Mirrors: 5 AI Adoption Gaps Leaders Need to Know

by Maverick Foo | Aug 23, 2026 | AI Insights

AI Hall of Mirrors: 5 AI Adoption Gaps Leaders Need to Know Maverick Foo AI adoption numbers look healthy right now. 85% of organisations increased their AI investment in the past 12 months, and 91% plan to increase it again (Deloitte). 78% of enterprises report...
The AI Specialist Myth: What’s Really Behind the AI Skills Gap

The AI Specialist Myth: What’s Really Behind the AI Skills Gap

by Maverick Foo | Aug 18, 2026 | AI Insights

The AI Specialist Myth: What’s Really Behind the AI Skills Gap Most companies are trying to close their AI skills gap the same way: hire more specialists. There’s a problem with that plan. According to a new OECD report, “Skills in the AI age,”...
Judgment Skills in the Age of AI: What the Delegation Paradox Reveals

Judgment Skills in the Age of AI: What the Delegation Paradox Reveals

by Maverick Foo | Aug 11, 2026 | AI Insights

Judgment Skills in the Age of AI: What the Delegation Paradox Reveals A common belief about workplace AI goes like this: stop doing a task yourself, and you lose the skill for it. It’s the same logic as muscle atrophy in the human body, and this belief has a...
Why AI is Not Improving Productivity: AI-Ready People, AI-Unready Workflows

Why AI is Not Improving Productivity: AI-Ready People, AI-Unready Workflows

by Maverick Foo | Aug 4, 2026 | AI Insights

Why AI is Not Improving Productivity: AI-Ready People, AI-Unready Workflows Maverick Foo You can be an excellent driver and still be stuck in traffic. The skill is real and the car is fine, but neither one decides how long the journey takes. The road does. That is a...
Agentic AI in the Workplace: From Chatting With AI to Conducting It

Agentic AI in the Workplace: From Chatting With AI to Conducting It

by Maverick Foo | Jul 28, 2026 | AI Insights

Agentic AI in the Workplace: From Chatting With AI to Conducting It Maverick Foo 26 minutes versus 33 seconds. That is the gap Harvard and Perplexity found when they studied two ways of working with the same AI. In one mode the tool worked on its own for about 33...
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