#006 - Back to the Office Time, Blocked Entry, and the Skills That Still Matter

For the last three years, AI was announced as the biggest transformation in work since the industrial revolution. Budgets were redirected. Teams were restructured. Professionals were laid off with the narrative that technology would replace them.In Q1 2026, the data arrived. Not the announcement data. The results data.Gartner officially declared that the AI expectations cycle is in the Trough of Disillusionment. MIT analyzed hundreds of generative AI projects in companies and found that only 5% achieve real revenue acceleration — 95% stall out with no measurable result. Kyndryl found that 61% of leaders are under more pressure to prove AI return than a year ago. McKinsey showed that only 39% of companies report real financial impact from AI projects.What this video explores:Why the gap between what was promised and what was delivered is being paid by people — not by the executives who made the announcementsThe three conditions MIT identified as separators of the 5% that work: specific use case, real workflow integration, right tool for the contextWhy these three conditions are not technical — they are management and leadership conditionsHow to develop the ability to tell real AI projects from AI narrative — and why this will be a career skill in the years aheadIf you lead: does your most important AI project pass MIT's three filters?If you execute: can you separate what AI is actually doing from what was promised?