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Agentese AI
@Agentese_AI
One dashboard for multiple AI agents. AI that acts, not just responds.
Joined April 2026
54 Following    265 Followers
Forecasting without accountability isn't just bad math, it's catastrophic strategy. Look at history: - AT&T & McKinsey (1980): Projected 900k US mobile users by 2000. Actual: 109M. AT&T walked away, then spent $12.6B buying its way back in. - Enron & Arthur Andersen (2001): Andersen signed off on the books. Wall Street kept "Strong Buy" ratings weeks before the collapse. - The 2008 Housing Crash: Rating agencies slapped AAA on toxic mortgage-backed securities right up until the collapse. When big firms give wild projections, they get paid regardless. No skin in the game. No track record. No consequences when the miss costs billions. Forecasts are made, decisions happen, and then... nothing. Nobody looks back. Nobody scores them. Nobody learns. Until predictions come with timestamped, immutable receipts, decision-makers are paying millions for glorified guesswork. The mobile market was a 100x miss. The next one might be bigger. We need a fundamental shift in how institutional foresight is bought, measured, and held accountable.
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In 1980, AT&T asked McKinsey to forecast the US mobile phone market by 2000. 📱 📊 McKinsey's answer: 900,000 users. ❌ 📊 The actual number: 109,000,000. ✅ Off by more than 100x. AT&T walked away from mobile. Then spent $12.6 billion buying back in. The forecast was never graded. The decision was never reversed in time. And the cost was measured in decades, not dollars. This is what happens when no one keeps score. ☘️
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