Summary of Key Points
The live dialogue, co-hosted by CITIC Publishing and Huaxia Fund, focused on the impact of AI on the economy, investment, and employment. Davis, the Chief Economist leading the global trend, suggested that economic forecasts for the next 3-5 years are likely to deviate from reality by 85% due to the rapid adoption of AI as a universal technology. Investment will experience a significant shift, moving from developing AI infrastructure (chips, computing power, etc.) to applying AI in various industries. Employment changes will occur at twice the pace of the PC era through automation, enhancement, and new platforms, although there will be challenges during the transition period. Regarding concerns about AI causing deflation or a major recession, Davis emphasized that it depends on whether AI becomes a technology as essential as electricity; if it can create new industries, the worst-case scenarios will not materialize. The main takeaway from the discussion is to accept the faster pace of change, look for investment opportunities in areas where productivity increases, and focus on jobs that value human skills.
Why Are Future Economic Forecasts Likely to Be Inaccurate?
Davis's team believes that 85% of economic forecasts will be inaccurate because AI is evolving too rapidly. Mainstream institutions (such as the IMF and World Bank) still rely on traditional methods, but AI is permeating all aspects of work, consumption, and business organization. For example, the speed at which companies use AI to reduce costs and increase efficiency exceeds expectations. To illustrate, while it took decades for electricity to become widely available, AI may achieve the same in just a few years, leaving old models behind and leading to inaccurate forecasts.
The Great Investment Shift: Focus on Those Who Actually Profit from AI
Davis divided technological changes into two stages:
1. Stage One: Those who develop the technology (chips, data centers, large tech companies) profit—this is already evident in the market, with hardware sectors leading gains.
2. Stage Two: Those who apply the technology (manufacturing, retail, healthcare, etc.) profit from AI improvements.
History shows that electricity and PCs benefited businesses that used them, not the providers. Therefore, current investments should target companies that can actually generate revenue from AI, such as those that reduce costs, improve efficiency, or create new demand. Gan Tian added that while hardware is essential, the focus should shift to industries where value is created.
How Will AI Change Employment?
AI will transform employment through three main mechanisms:
1. Automation: Saving time (e.g., AI handling reports).
2. Enhancement: Serving as human assistants (e.g., aiding doctors with CT scans).
3. New Platforms: Creating new job roles (e.g., AI trainers, AI ethicists).
These changes will be particularly noticeable by 2030, with two-thirds of jobs experiencing both automation and enhancement, while about one-fifth may be completely replaced. The transition period could be painful, as repetitive tasks are automated, but new careers may emerge.
Will AI Lead to Deflation or a Recession?
Davis argued that whether AI causes deflation or a recession depends on its status as a universal technology. If it becomes as crucial as electricity, it could create new jobs and offset job losses. He pointed out that the most pessimistic scenario would occur if AI merely replaces existing roles without creating new industries. However, he is more optimistic, believing that AI will drive demand for personalized services and smart healthcare.
What Should Ordinary Investors Do?
Davis advised investors to:
1. Abandon Traditional Strategies: Fixed investments, sector-specific bets, and rigid stock-bond ratios no longer work.
2. Invest in Companies That Profit from AI: Focus on those that use AI to reduce costs, improve efficiency, or create new demand.
3. Take a Long-Term View: Technological adoption is a long process; avoid short-term market fluctuations and focus on companies integrating AI into their growth strategies.
4. Diversify Your Portfolio: Be flexible and prepare for rapid changes by not concentrating on single sectors.
In summary, the dialogue emphasizes that while AI is transforming industries rapidly, investors should look for companies that can effectively utilize it to create value, rather than chasing fleeting trends. The key is to adapt to these changes and identify long-term opportunities.