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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.

first_img Blockstream executive Peter Bain: Institutional clients are optimistic about the Bitcoin bull market

Blockstream Chief Marketing Officer Peter Bain stated in a recent interview that Bitcoin has maintained the $81,000 mark amid stock market sell-offs, rising 10-year U.S. Treasury yields, and turmoil in Europe, which he described as "a very, very strong signal." He made this statement during a conversation with Grace Remington and Sean Hagan.Bain emphasized that technological development precedes price and discussed topics such as adoption, stablecoins, and tokenized stocks. He introduced Blockstream's new center established in Lugano and a new consulting department aimed at institutional clients, while explaining why treasury companies are mainly concentrated in the United States and why Switzerland will become the next market—Switzerland's clear regulatory framework and strong banking foundation make it an ideal launch market.Regarding quantum computing, Bain believes that the related threats will take decades to materialize, and that Bitcoin's real weaknesses lie elsewhere. He referenced the PHP vulnerability incident, stating that the industry needs to rethink the way software is released, and introduced Blockstream's research on quantum-resistant signature solutions, how consensus can be reached for quantum upgrades, and the Bitcoin Security Alliance. Additionally, he provided the first update on the Liquid Network event progress: the exchange service has been restored, the network is back online, and users can transfer Bitcoin back to the main chain. Looking ahead to 2027, Bain stated that institutional clients believe Bitcoin "is expected to usher in a major bull market."

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.
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