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The AI Reasoning Trap: Why More Steps Don’t Always Mean Better Answers
Opening: When “Deeper Thinking” Backfires Tech vendors sell the idea that extra reasoning makes AI smarter. The message is everywhere: longer chains, richer answers, premium performance. Yet independent analysis paints a very different picture. Lengthy reasoning often weakens results and increases costs. Data from Anthropic’s Claude shows the model loses focus when chains get too…
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Why Most AI Projects Collapse: Lessons from MIT’s 95% Failure Report
Introduction Artificial Intelligence is often marketed as the key to business transformation. Executives are told that AI will unlock efficiency, create new revenue streams, and keep them ahead of competitors. Yet, according to a recent MIT report, nearly 95% of AI projects never meet their objectives. Despite heavy investment, the majority of initiatives stall or…
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AI Hype vs. Reality: Why Most Projects Fail and How to Build for Real ROI
Introduction Artificial Intelligence (AI) dominates today’s business conversations. From boardrooms to investor decks, AI is seen as the magic key to transformation. But reality often tells a different story. Many projects stall, budgets balloon, and leadership loses faith. The issue is not whether AI has value. The issue is how companies approach it. This blog…