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Medium
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Magical Thinking: The Most Expensive Mistake in Tech
- The article discusses the dangers of 'magical thinking' in the tech industry, which involves making bold claims before fully understanding the implications.
- It highlights past examples like ML in Cybersecurity, SOAR strategies, RPA, Low-Code solutions, and AI deployments that fell short due to unrealistic expectations.
- Many automation efforts failed due to skipping over governance, process design, and facing the realities of implementation.
- The focus on 'LLM Everything' in the future is predicted to encounter similar challenges, with McKinsey data indicating low success rates in early AI projects.
- The article emphasizes the importance of understanding the limitations of technology and aligning expectations with reality.
- It warns against succumbing to hype cycles and inflated expectations, stressing the significance of hard work and perseverance in achieving success in tech.
- The narrative underscores the need to build products with a clear problem-solving focus before aiming to create a movement or larger impact.
- It concludes by highlighting that while hype can propel initial excitement, sustained success in tech requires a grounded approach and a commitment to facing challenges head-on.
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