Top-down AI failed in 2025. I share the lessons from building 4,000 AI agents that drove $50M in value, and the new rules for work in 2026.
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The Steve Jobs Gap – Imagination vs. Features
We don’t need GPT-6; we need a Steve Jobs to inspire us. Waiting for the next model is killing your ROI, and a ‘Maker’ mindset unlocks value
Our AI Agents aren’t lazy, our Org Charts are
AI projects fail because of organizational design, not the tech. Learn how to channel “Shadow AI” and restructure your teams to get results.
AI Hallucinations: Why It’s Not (Just) a Tech Problem
Why do AI systems “hallucinate”? It’s not a tech flaw. Learn the 3 human errors that cause AI hallucinations and how to mitigate them
Why only 2% of AI users save 100s of hours (and you are not)?
Go from AI user to AI maker. Learn to build your first AI teammate and gain the competitive edge 98% of professionals are missing.
3,000 Hours Saved with Ada – AI’s Double-Edged Sword
How AI Agent Ada saved 3,000 hours and what the cost was—a practical blueprint for leaders on AI’s double-edged sword.
AI Agents Ate the Desktop — Why Work Now Starts in AI
800M people start work in ChatGPT, not in productivity suites. The desktop era ends as work becomes conversation
Gen Z’s AI Whiplash: Banned at School, Essential at Work
Gen Z is discouraged from using AI at school, yet proficiency in AI is required to get a job. Our 7,000-person research shares insights…
Minutes to Money: The 95% AI ROI Headline Everyone Got Wrong
MIT says 95% of enterprise AI fails, but 80% of workers report gains. Why the disconnect? We unpack the AI revolution happening bottom-up.
We save time with AI—where does it go?
The same AI time savings tell two stories: in large enterprises, they go to rest and risk reduction; in SMBs, they go to growth.