As we embark on an AI revolution, the potential benefits are undeniable, but history warns us of the risks of relying too heavily on machines. The trend is clear: we’re outsourcing tasks to Generative AI, but at what cost? Recent studies reveal that 3 in 4 business leaders believe AI will be a top emerging technology in the next 12-18 months, and 78% think it will be the top emerging technology in 3-5 years. The business functions leading the adoption race are IT and Tech, Operations, Marketing, and Sales. However, this raises concerns about the impact on human expertise and skills.
The adoption rate of Generative AI tools is high, with 28% of workers already using them, and an additional 32% expecting to use them soon. While managers see the benefits of replacing employees with AI, 66% of them would gladly do so if the work was comparable. But who will be the experts of the future, and how will they gain their expertise if they opt to use AI instead of honing their skills?
History teaches us that cultures that outsource their expertise or stop practicing it altogether risk losing it. The Portuguese, for example, forgot how to build ships after outsourcing the work to foreigners. Similarly, the Romans lost the knowledge of building aqueducts and multi-story buildings, and the ancient Egyptians forgot how to build pyramids.
In today’s world, AI is disrupting the foundation of education and apprenticeship, where we gain knowledge by practice. If AI does the work, are we the creators? How can we teach junior employees to become experts if they rely on AI tools to create presentations that are better than what they could produce on their own? The challenge is to bridge the two extremes: benefiting from AI automation and building human expertise.
