AI, Economy & Finance News — 2026-09-29 (Tue) Evening News

AI and Economy Latest News

Overview

The AI inflation controversy came to light when Fed Director Cook said, ``AI capital investment will push up inflation first, and it is still a long way from pushing down productivity.'' (Action Forex, briefs.co, finance.biggo.com). At the same time, there is a sudden increase in power demand for data centers, a projected $1.2 trillion in capital investment, and concerns about an "AI bubble" (TradingView, KuCoin).

Macroeconomic/growth trends

Fed Director Lisa Cook pointed out that AI infrastructure investment is driving up prices to begin with, and that only a fraction of the $2 trillion in investments has yet been disbursed (finance.biggo.com). He said the labor market could withstand interest rate hikes, and that inflationary pressures from AI would spread in the future (Action Forex). In Japan, private forecasts in the Bank of Japan's September Tankan suggest that business confidence in large manufacturing companies will improve due to demand for AI (Nihon Keizai Shimbun). Some point out that the competition for AI supremacy between the US and China is having an impact on the economy.

Productivity trends

McKinsey estimates that AI could shift 11 million workers into new jobs by 2035 (Business Standard). In Japan, there is a report that even in a team with 100% AI agent usage, the productivity improvement was only 1.1 times, and the existence of a bottleneck has been pointed out (CodeZine). PwC warns that while companies risk losing AI-savvy employees, the vast majority of workers are being left behind (PA Media). It has also been pointed out that introducing AI without work redesign will accelerate burnout (HRTech Series).

Trends in employment and labor market

AI is taking over the hiring process, raising the question: "What happens when humans disappear?" (Fast Company Middle East). Pearson has acquired Workera, an enterprise AI skills assessment company (Morningstar). Stand8 announces a recruitment platform that prevents candidate fraud using AI (HRTech Series). Forrester points out that challenges in the medical field cannot be solved by AI alone, but require business redesign.

Trends in energy/power demand

Data Center Knowledge discussed rebuilding the power grid for the AI economy as a “200GW moment” (Data Center Knowledge). ABB launches DC power infrastructure product range for AI data centers (ABB). Samsung will reportedly invest $1 billion in AI data centers under a former AWS executive (Energy Connects). Bain raises the question of the AI data center construction boom: "If you build it, they will come." (Bain) It has also been reported that stocks related to AI data centers are attracting attention due to the actual demand for fiber and power infrastructure development (Yahoo Finance).

Remarks by central banks, international organizations, and VIPs

- Fed Director Lisa Cook: AI capital spending will continue to push inflation higher for the time being, and the labor market will be able to withstand further monetary tightening. Only a small portion of the $2 trillion in investments has been spent (Action Forex, briefs.co, finance.biggo.com). - IMF: Warns that AI could become a systemic cyber risk (Finimize). - Regarding the tracked targets Christine Lagarde, Kazuo Ueda, Andrew Bailey, Kristalina Georgieva, Mathias Cormann, Ajay Banga, Daron Acemoglu, and Erik Brynjolfsson, there is no direct statement or mention in the news collected this time.

Trends in corporate capital investment

Goldman Sachs predicts that AI infrastructure capital spending will reach $1.2 trillion by 2027, with energy becoming a major bottleneck (TradingView). moneyshow argued that ``hyperscalers' AI capital investment costs will eventually face recovery issues'' (moneyshow.com). NDTV reported a commentary saying, ``The AI boom is falling into a 'debt trap' with a 5% danger line.'' Michael Burry is reported to be taking an AI bubble concern position with puts on Micron, Palantir, and SOXX (KuCoin). Some point out that TSMC has become the de facto setter of AI chip prices (Startup Fortune). Morgan Stanley reportedly recommended a group of AI-related "picks and shovels" stocks (Business Insider Japan, does not refer to investment advice).

Trade and industrial policy

It was reported that while the US and China are cooperating on AI governance, competition is also intensifying (Anadolu Ajansı). China and the US have reportedly agreed on AI dialogue and tariff reductions (chinaeconomicreview.com). South Korea's exports are expected to increase for the 16th consecutive month due to demand for AI chips (Reuters). The Carnegie Endowment has argued for a "middle-sized country path that is neither competitive nor dependent" in building AI capacity. Experts have expressed concerns about Nvidia's sales of AI chips to China and its influence on the Trump administration (Ars Technica).

Integrated analysis: What is happening now

Fed Director Cook's remarks indicate that AI capital investment is at a stage where it is appearing in the real economy as "inflation due to investment demand and electricity demand" rather than "disinflation due to productivity improvements." This is consistent with headlines related to power infrastructure (200GW power grid, ABB's DC products, Samsung's $1 billion investment) and confirms that real demand for AI capital investment is manifesting as capital concentration in the power sector. On the other hand, a report that Japan's productivity is 1.1 times even with 100% AI agent utilization, McKinsey's prediction of job transition, and PwC's warning of an "AI gap" suggest that productivity and employment results are not keeping up with the expansion in investment scale. At the same time, Goldman Sachs' $1.2 trillion capital investment forecast and NDTV's Michael Burry's "AI bubble" argument coexist, and the market seems to be talking about two evaluation axes at the same time: "power and infrastructure investment based on actual demand" and "overinvestment/debt risk." Furthermore, while the US and China are proceeding with dialogue on AI governance and tariffs, tensions remain over Nvidia's exports to China and the chip supply chain (TSMC), suggesting a coexistence of cooperation and competition.

Future points of interest

- It will be interesting to see how the AI inflation theory of Fed directors will be reflected in the monetary policy stance (decisions to raise or lower interest rates). - It seems necessary to assess how the increase in electricity demand due to AI capital investment will affect transmission network investment and electricity prices. - We should pay close attention to how the discrepancy in evaluations between concerns about a "bubble" in AI-related stocks (such as Michael Burry's position) and predictions of increased capital investment (Goldman Sachs) will converge in the future.

AI and finance latest news

Overview

Over the past 12 hours, the huge investment in AI infrastructure and the movement to diversify its risks (introduction of insurance and agent AI) have simultaneously progressed. While Goldman Sachs forecasts infrastructure capital investment of $1.2T, Nvidia and Samsung are proceeding with risk transfer and large investments through insurance companies. At the same time, regulatory and safety concerns (warning in Anthropic prospectus, postponement of OpenAI model release) have surfaced.

Bank trends

Politico reported that banks are exposed to new risks with the introduction of AI agents (Politico). Goldman Sachs predicts that capital investment related to AI infrastructure will reach $1.2T by 2027, and that electricity will be the bottleneck (TradingView). Fortune reported that profit-oriented financial institutions are finding ROI in implementing AI. Futurists have pointed out that some banking services will disappear due to AI (thenationalnews.com). According to Goldman Sachs' analysis, AI will drive the "mine-to-magnet" investment cycle, and related stocks (MP, CRML, TMC, UAMY) are attracting attention (Stocktwits).

Insurance trends

It was reported that Nvidia is in talks with insurance companies to diversify risks associated with the expansion of AI (Financial Times) (Investing.com). Munich Re analyzed that major insurance companies are moving from pilots to full-scale deployment of AI in underwriting operations (munichre.com). Duck Creek announced ``Agentic FNOL,'' an automated insurance claim reception system using an AI agent (Reinsurance News). An insurance commissioner has announced the introduction of an AI assistant called Janie to assist in filing complaints (HubCitySPOKES). Samsung announced a $1 billion investment in an AI infrastructure company backed by Nvidia and KKR (CNBC).

Trends in asset management and market transactions

BlackRock pointed out that the value of AI is shifting from software to "physical AI" and said that MU, VRT, and CEG are attracting attention (Benzinga). Bain analyzed that software investment is changing in the AI era and slowing growth (Bain). alpha-sense has published a 2026 report showing that the value and risks of AI vary by subsector (alpha-sense.com). HCLTech releases a study on AI asset management (PRNewswire, Yonhap). Meta's AI strategy is attracting attention as a way to verify BlackRock's predictions (thestreet.com). On the market side, Nasdaq introduced agent AI functionality to its Calypso platform to expand its trading operations (TradingView). OpenAI has canceled the release of a new model due to safety concerns (WSJ). SMH reported that AI prices are bringing "the extremes of fear and greed" into the market (SMH.com.au).

Fintech/payment trends

Mastercard shares startup founder's perspective on building consumer trust in AI shopping agents (Mastercard). Mastercard launches AI analytics service to uncover payment opportunities for suppliers (The Digital Banker) (Yahoo Finance). In a contrast to Amazon, Shopify has opened up payment functions to AI agents (finance.biggo.com). In Japan, Meta's AI agent ``Muse'' has the ability to perform app operations such as payments and reservations, but it has been pointed out that there is a risk of malfunction (Reuters). Shopify has expanded WebMCP to the payment screen, allowing AI agents to complete payments (Business + IT).

Remarks from key figures and authorities in the financial world

There are no headlines that explicitly state direct statements from the people tracked on this list (Jamie Dimon, Larry Fink, Jane Fraser, David Solomon, Brian Moynihan, Ted Pick, Ken Griffin, Paul Atkins). However, an analysis by BlackRock (led by Larry Fink) has been reported that ``the value of AI is shifting from software to physical AI'' (Benzinga) (thestreet.com). Goldman Sachs (led by David Solomon) has released an analysis that predicts AI infrastructure capital spending will reach $1.2T by 2027 and that AI will drive a "mine-to-magnet" investment cycle (TradingView) (Stocktwits).

Trends in AI-related stocks and funding

Anthropic's journey from startup to IPO was reported, with leadership reportedly controlling the AI lab in a way that prioritizes the public interest over market principles (Reuters) (CNBC). Anthropic's prospectus was said to include warnings about losses, growth, and that AI could end humanity (techcrunch.com). Saudi Arabian enterprise AI startup Gaia has raised $1.5m in pre-seed funding (IBS Intelligence). The 14-employee AI startup reportedly received a $10 billion valuation (MarketWatch). Michael Burry reportedly expanded the size of his put option betting on the AI bubble bursting (조선일보). Nvidia announced its largest ever increase in share buybacks in line with the expansion of AI (Yahoo Finance).

Trends in financial regulation and supervision

QA Financial raised the issue of whether banks can safely self-verify AI models (QA Financial). Three major AI companies are reportedly co-founding a self-regulatory organization to take the lead in developing safety standards (finance.biggo.com). Anthropic's prospectus is said to include a warning about AI risks, and is attracting attention as a disclosure for both regulators and investors (techcrunch.com). Regarding Japan, it was reported that Apollo has sounded the alarm about the risk of a "bank run" caused by agent-type AI (coinpost.jp).

Integrated analysis: What is happening now

Looking at the flow of funds, while huge investments in AI infrastructure centered on Nvidia, Samsung, and KKR continue (Goldman Sachs' estimate of $1.2T, Samsung's $1 billion investment), it is clear that the risk is being transferred to insurance companies (negotiations between Nvidia and insurance companies, and increased underwriting by Munich Re). This seems to suggest that the scale of AI infrastructure investment is reaching a level that cannot be supported by the balance sheets of single companies or financial institutions. At the same time, the actual operation of AI agents is rapidly progressing in the banking and payment fields (Nasdaq Calypso, Shopify payment opening, Meta "Muse"), and as reported by Politico and Coinpost, there is increasing vigilance over the risk of agent malfunctions and collective action such as "bank runs." On the regulatory front, the establishment of an industry self-regulatory organization and the safety warning in the Anthropic prospectus have been issued at the same time, and we can see a structure in which industry-led self-regulation and risk visualization through information disclosure to investors are progressing in parallel. Asset managers (BlackRock, Bain) have analyzed that the center of gravity of AI value is shifting from software to "physical AI" (semiconductors and power infrastructure), and this is consistent with Goldman Sachs' capital investment forecasts and pointing out energy constraints. On the other hand, the postponement of OpenAI's model release and Burry's bet on the bursting of the AI bubble indicate that skepticism and cautiousness toward AI investment remain deep-rooted in some corners of the market.

Future points of interest

- How risk sharing discussions between Nvidia and insurance companies will impact the credit and underwriting structure of AI infrastructure investments. - Regulatory authorities' response to the risks of malfunctions and bank runs associated with the expansion of agent AI implementation in payment and banking operations.