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Apollo Chief Economist: The profit margins of the seven tech giants are rising, while the rest of the S&P companies are stagnant

The chief economist of the American asset management firm Apollo, Torsten Sløk, released five charts, believing that AI has not yet brought significant financial returns to large American companies outside of the tech giants. The per capita revenue and profit margins of the seven tech giants continue to rise; excluding them, the 493 companies in the S&P have seen these two metrics remain basically stagnant, and the data on total factor productivity in the U.S. has not shown significant signs of AI-driven growth.Apollo cited data from the corporate payment platform Ramp, stating that among its clients, the top 10% of companies by spending contributed 99.5% of the model hosting and inference costs. Among the top 1% of companies with the highest AI spending, about 80% have venture capital backgrounds; for companies at the median spending level, this ratio is only 13%. A large amount of AI computing power consumption is concentrated in a few companies, many of which rely on venture capital support.Previous statistics from Apollo indicated that during the second quarter earnings season of 2026, 69% of S&P 500 companies had disclosed that they were actually using AI, but only 2% reported metrics for ongoing tracking of effectiveness. Another NBER study updated in October this year surveyed nearly 9,000 corporate executives from seven countries, with respondents estimating that over the past three years, AI has only improved the annual growth rate of labor productivity in companies by about 0.2 percentage points.

Monetary Authority of Singapore Chief Economist: After the increase in AI productivity, there may be room for easing

According to the Straits Times, Edward Robinson, Chief Economist of the Monetary Authority of Singapore, stated at the Beijing Financial Street Forum on October 20 that once artificial intelligence leads to widespread productivity improvements, central banks may relax monetary policy. However, currently, the AI investment boom is driving demand, and policies should maintain appropriate restrictions. He pointed out that AI-related investments are driving economic growth, but the technology has not yet brought significant productivity improvements to the broader economy, and he called for a gradual, data-driven approach.The Monetary Authority tightened monetary policy in April and July 2026 due to rising inflation risks, and maintained the policy unchanged in October. An October 14 statement warned that if the AI boom generates broader economic spillovers and raises unit labor costs, domestic inflation may remain high. Robinson noted that AI-driven electronic products accounted for over 70% of this year's export growth in Asia, but the growth of industries producing AI-related technologies mainly stems from increased investment and more intensive use of existing resources, rather than efficiency improvements. He cited OECD estimates stating that if sufficiently widespread and appropriately invested, AI could increase total factor productivity growth by up to 0.6 percentage points annually.

first_img The Economist estimates that AI has created approximately 1 million jobs in the United States

The Economist estimates that AI has created about 1 million new jobs in the United States so far, far exceeding the approximately 200,000 jobs cut due to AI since mid-2023. This conclusion is based on the employment data for August released by the U.S. Bureau of Labor Statistics on September 4: the U.S. economy added 162,000 jobs, and the unemployment rate remained at 4.1%. The unemployment rate for young people aged 20-24 is now close to its lowest level in decades compared to the overall unemployment rate.Job growth mainly comes from high-skilled positions directly serving AI and blue-collar jobs driven by data center construction. Since 2022, about 730,000 jobs exceeding the trend line have been added for engineers, software developers, mathematicians, and data scientists. The chief economist at Burning Glass Institute estimates that currently about 1% of professional jobs in the U.S. can be classified as AI jobs, with that proportion reaching 4% to 5% in the fields of computer and life sciences. Spending on data center construction has increased by 60% within a year, leading to a rise in demand for electricians, HVAC technicians, and others. Data from Indeed shows that salaries for data center installation and maintenance jobs are about 40% higher than similar positions.Customer service positions have shrunk by about 10% since January 2023, and administrative assistants have decreased by about 15%. Microsoft and Meta have reduced staff while restructuring their businesses around AI, and companies like Block and Intuit have replaced some manual labor with automation tools. On average, U.S. companies announce about 16,000 layoffs related to AI each month. Economist Noah Smith points out that it is currently difficult to find occupations eliminated by AI in labor data.

Gate founder and CEO Dr. Han featured in an interview with The Economist: Gate accelerates the construction of multi-asset financial infrastructure

According to the latest report from The Economist Enterprise, after 13 years of development and multiple strategic upgrades, Gate is gradually expanding from a traditional cryptocurrency trading platform to a comprehensive financial infrastructure that connects digital assets with traditional financial markets. The report points out that as more traditional financial products such as stocks, ETFs, tokenized assets, foreign exchange, and metals enter the digital asset ecosystem, Gate is further bridging the gap between crypto finance and TradFi through multi-asset product layouts and global infrastructure development. Gate's founder and CEO Dr. Han stated in an exclusive interview that as the industry develops, digital asset platforms are facing not only technical issues but also risk management, user protection, and industry regulation.In terms of TradFi integration, Gate has formed a multi-layered layout from tokenized assets and derivatives to native stock trading, launching products and services such as xStocks, Ondo, Gate TradFi, Pre-IPOs, direct IPOs, and Gate Stocks. Among these, Gate Stocks has supported trading of U.S., Hong Kong, and South Korean stocks, significantly lowering the barriers for global users to participate in traditional financial markets. At the same time, Gate is continuously improving its around-the-clock trading and liquidity infrastructure to meet the needs of global users for cross-market asset allocation.The Economist Enterprise also points out that as the digital asset market further moves towards institutionalization, compliance, transparency, and infrastructure capability are becoming important components of platform competition. Gate continues to advance its global compliance layout across multiple jurisdictions and has been providing third-party audits and open-source proof of reserves since 2020. In addition, Gate is introducing AI infrastructure into Web3, connecting AI with trading, wallets, and more services through products like Gate AI, Gate MCP, and GateClaw, promoting the platform's evolution from a traditional trading venue to a comprehensive financial infrastructure that connects digital assets, traditional finance, and AI applications.
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