Key Takeaways:
- The continuation of the status quo is the least likely outcome, and AI will have a significant impact on productivity and the economy.
- AI will be disruptive, especially for business leaders and workers in knowledge sectors, but will also create new opportunities for growth and innovation.
- The majority of jobs will result in a mixture of innovation and automation, with workers’ time shifting to higher value and uniquely human tasks.
- AI will have a significant impact on the services sector, which accounts for more than 60% of US GDP and 80% of the workforce.
- Demographic headwinds, such as an aging population, will reinforce the need for technological acceleration, and AI will help offset these pressures.
Introduction to AI’s Impact on the Economy
The impact of Artificial Intelligence (AI) on the economy is a topic of much debate among economists and business leaders. According to economist Davis, the continuation of the status quo is the least likely outcome, and AI will have an even greater effect on productivity than the personal computer did. This will lead to significant economic growth, but also disruption, especially for business leaders and workers in knowledge sectors. AI is likely to be the most disruptive technology to alter the nature of our work since the personal computer, and those who are prepared to adapt will be the ones who thrive.
Implications for Business Leaders and Workers
The team’s framework allowed them to examine AI automation risks to over 800 different occupations, and the research indicated that while the potential for job loss exists in upwards of 20% of occupations as a result of AI-driven automation, the majority of jobs will result in a mixture of innovation and automation. Workers’ time will increasingly shift to higher value and uniquely human tasks, and AI could serve as a copilot to various roles, performing repetitive tasks and generally assisting with responsibilities. This introduces the idea that AI could augment human capabilities, rather than replace them. Traditional economic models often underestimate the potential of AI because they fail to examine the deeper structural effects of technological change, and Davis argues that most approaches for thinking about future growth, such as GDP, don’t adequately account for AI.
Implications for the Economy
Ironically, Davis’s research suggests that a reason for the relatively low productivity growth in recent years may be a lack of automation. Despite a decade of rapid innovation in digital and automation technologies, productivity growth has lagged since the 2008 financial crisis, hitting 50-year lows. This appears to support the view that AI’s impact will be marginal, but Davis believes that automation has been adopted in the wrong places. The services sector, which accounts for more than 60% of US GDP and 80% of the workforce, has experienced some of the lowest productivity growth, and it is here that AI will make the biggest difference. Demographic headwinds, such as an aging population, will reinforce the need for technological acceleration, and AI will help offset these pressures.
The Role of AI in Addressing Demographic Challenges
One of the biggest challenges facing the economy is demographics, as the Baby Boomer generation retires, immigration slows, and birth rates decline. These demographic headwinds will lead to a shortage of workers, and AI will be essential in offsetting these pressures. For example, in the field of nursing, AI has already shown the potential to augment rather than automate, streamlining data entry in electronic health records and helping nurses reclaim time for patient care. Davis estimates that these tools could increase nursing productivity by as much as 20% by 2035, a crucial gain as health-care systems adapt to aging populations and rising demand. In fact, Davis projects that AI will offset demographic pressures, and within five to seven years, AI’s ability to automate portions of work will be roughly equivalent to adding 16 million to 17 million workers to the US labor force.
Implications for Investors
As AI technology spreads, the strongest performers in the stock market won’t be its producers, but its users. This adoption of AI is creating flexibility for investment options, which means diversifying beyond technology stocks might be appropriate. History shows that early adopters of new technologies reap the greatest productivity rewards, and companies that encourage and reward experimentation will capture the most value from AI. The benefits of AI will move beyond places like Silicon Valley or Boston and into industries that apply the technology in transformative ways. As Davis notes, "We’re clearly in the experimentation phase of learning by doing," and those companies that are prepared to adapt and innovate will be the ones who thrive in an AI-driven economy.
