AI & Economy News — 2026-09-23 (Wed)

Overview

While AI-related stocks renewing their daily record highs and expanding AI capital investment (expected to reach $1 trillion) are central themes in the market, ECB's Panetta warned of overheating and correction risks in AI stocks (AMWatch). Ahead of the Trump-Xi summit, tariffs and technology export controls related to AI have emerged as a focus of trade policy.

Macroeconomic/growth trends

There are reports that rising AI optimism is pushing inflation risks to the background (Investing.com). On the other hand, it has been pointed out that crude oil demand and AI-related demand continue to be closely watched for inflation risk (Fox Business). Some analysis suggests that the spread of AI will worsen the estimation accuracy of GDP statistics (The Foundation for American Innovation). In the business world, there is a "backward-looking" debate over the pace of AI implementation, and it is said that there is still a distance between companies' implementation status and frontier technology (Fortune).

Productivity trends

An ILO survey of Chinese companies found that while the introduction of AI will boost productivity, it also raises concerns about employment and skills (ILO, IndexBox). The Philadelphia Fed is examining the impact of introducing AI on small and medium-sized enterprises' business performance (Philadelphia Fed). In Australia, the use of AI is cited as the key to improving productivity (nna.jp). Economist Justin Wolfers has warned of the risk that AI will make workers poorer while OpenAI gets richer (Benzinga).

Trends in employment and labor market

The Dallas Fed has pointed out that AI is contributing to the weakness in the labor market for college graduates (Dallas Fed). Maryland Governor Moore announced a policy framework to protect the state's citizens from AI (Office of Governor Wes Moore). Runway announced DIFFUSE, a recruitment platform for “AI native” creative talent (Runway). Iowa State University seeks $4 million in funding to train AI-enabled talent and reduce tuition costs (The Ames Tribune).

Trends in energy/power demand

Against the backdrop of increasing power demand for AI data centers, plans for a 330 GW data center are underway in the United States, creating new business opportunities for the storage battery industry (Review Energy). On the other hand, there are reports indicating that data centers may be able to secure computing power without increasing power (Fierce Network). The need for local communities to prepare in advance for data center planning has also been pointed out (Data Center Frontier). At Climate Week, hopes for clean energy were contrasted with concerns about AI's increased demand for electricity (Broadband Breakfast).

Remarks by central banks, international organizations, and VIPs

- ECB Director Panetta (former Managing Director, current President of the Bank of Italy): Sounded the alarm on the risk of a correction in stock prices in response to the "violent uptrend" in the AI industry (AMWatch). - An analysis of former Federal Reserve Board member Kevin Warsh's interest rate hike policy has highlighted the "polarized" structure of the U.S. economy between AI and the housing market (Fortune). - Direct statements and actions regarding Lagarde, Ueda, Bailey, Georgieva, Cormann, Banga, Acemoglu, and Brynjolfsson from the list above are not found in this headline.

Trends in corporate capital investment

JPMorgan CEO Jamie Dimon warns that AI infrastructure investment could reach $1 trillion next year (qz.com) and expects AI hyperscalers to spend $1 trillion next year (PYMNTS.com). ASE Technology is said to be considering a $10.5B CapEx plan to capture AI demand (Yahoo Finance). Although the rotation of high-tech stocks is intense, there is a view that the AI capital investment cycle itself is intact (Investing.com). The limits of crowding out due to AI capital investment have also become a point of discussion in the credit market (Seeking Alpha).

Trade and industrial policy

President Trump's UN speech and talks with China focused on tariffs, AI, and energy (WSJ). AI guardrails and tariffs and trade are expected to be key issues at this week's Trump-Xi summit (NDTV Profit, Briefs Finance). A leading Democratic member of the US Senate pointed out that the Trump administration has failed to block China's access to US AI technology (The Hill). Customs authorities are said to be strengthening enforcement efforts using AI in relation to sanctions (TradingView).

Integrated analysis: What is happening now

AI-related capital investment is still in an expansion phase, as evidenced by Mr. Dimon's $1 trillion forecast and ASE Technology's large-scale CapEx plan, but at the same time, there are concerns about overheating of investment, such as Mr. Panetta's stock adjustment warning and crowding-out theory. This expansion in capital investment is directly linked to an increase in electricity demand in the form of a 330 GW data center plan, which will have a ripple effect on power grid development and the storage battery industry, but it has also been pointed out that local communities are lacking in preparation. In terms of productivity, studies in China, Australia, and the United States all confirm that productivity increases due to the introduction of AI, but this does not necessarily lead to improvements in worker wages or employment, a ``dissociation between productivity and distribution,'' as pointed out by Mr. Wolfers and the analysis by the Dallas Fed. Furthermore, in trade policy, ahead of the Trump-Xi meeting, AI technology export regulations and tariffs are being treated in an integrated manner, suggesting that AI is being incorporated into the center of geopolitics and trade strategy, rather than simply a technology competition.

Future points of interest

- How will AI technology export controls and tariff measures take shape as a result of the Trump-Xi summit? - As AI-related stocks continue to trend at high prices, whether the stock correction that Mr. Panetta warned about will actually occur. - Will additional data and analysis be released regarding the causal relationship between the deterioration of the labor market for university graduates and the introduction of AI?