The 10–80–10 Rule: How to Use AI Without Losing Your Thinking Skills
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The 10-80-10 rule: how to keep AI from turning your brain into a potato

Ryan Dice, founder and CEO of the marketing company DigitalMarketer, shared his views on the rapid spread of artificial intelligence. In his opinion, the main danger is not that technology will become smarter than people, but that people themselves will gradually stop thinking for themselves.
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The 10-80-10 rule: how to keep AI from turning your brain into a potato

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Dice compared the situation to the changes that once occurred after industrialization. Physical labor used to keep people naturally fit, Lifehacker writes. When most of the work became less active, people had to specifically exercise to compensate for the lack of exertion. According to the entrepreneur, a similar process can happen with thinking.

He believes that the constant use of chatbots can lead to a decline in cognitive skills if a person completely outsources intellectual work to them. To prevent this from happening, Dice has developed a simple “10-80-10” rule that he adheres to when working with AI.

The essence of the approach is as follows:

– The first 10% of the task should come from the human – the idea, the direction, and the main idea;

– about 80% of the work can be entrusted to artificial intelligence;

– the final 10% is again done by humans: they edit the result, evaluate it and improve the text.

Thus, AI is used as a tool, not as a full-fledged replacement for human thinking. The human forms the idea and puts a point in the work, and the algorithm only helps to speed up the process.

Other experts express similar concerns. Some experts note that excessive dependence on neural networks can reduce employees’ confidence in their own skills. This is especially true for young specialists, who risk failing to master the basic principles of the profession if they start relying on algorithm prompts right away.

In addition, temporary failures in the work of some popular AI services showed how much users are used to such tools. Many developers admitted that during the outages they felt how dependent they had become on neural networks.

According to Dice, in the future, experts who first try to solve a problem on their own and only then connect artificial intelligence will be especially valuable. He is convinced that those people and companies that continue to develop their own thinking, rather than completely handing it over to technology, will have an advantage.



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