Remembering isn’t the same as learning. Imagine working with someone who was completely unable to learn, to gain any experience whatsoever. There’s no need to picture someone completely stupid: just think of someone who joins the company, starts to deal with a lot of customers, experiences successes and failures, attends meetings, makes decisions . . . but one year later, has the same skills and capabilities as on day one. Would you be able to call that person experienced?
Is your company’s AI getting smarter every day? It should be
Why This Matters
The article argues that most enterprise AI systems today accumulate data but don't truly 'learn' from experience the way employees do, raising a critical distinction for businesses evaluating AI investments. This matters because companies may be overestimating their AI's capabilities, mistaking data storage for genuine improvement over time.
Key Takeaways
- Remembering information is not equivalent to learning from experience.
- Many AI systems fail to genuinely improve despite processing large amounts of interaction data.
- Businesses should critically assess whether their AI tools are truly getting smarter or just accumulating static data.
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