Global AI large-model usage reached 115 trillion tokens in the week from Aug. 31 to Sept. 6, according to calculations by National Business Daily based on the latest OpenRouter data. That marked a 1.77% increase from the previous week. China accounted for 56.72 trillion tokens, up 2.83% week over week, and stayed ahead of the United States for a 19th straight week. U.S. model usage came in at 16.54 trillion tokens, down 3.1% from the prior week. Among the five most-used models globally, four were Chinese. Tencent Hunyuan Hy4 preview ranked first with 14.7 trillion tokens, up 379% week over week. GPT-5.6 Luna placed second with 12.9 trillion tokens, while Zhipu GLM-5.3 Flash rose to third with 12.4 trillion tokens. DeepSeek-V4-Flash official and preview versions ranked fourth and fifth. MiniMax M3 returned to the ranking after nearly a month, taking sixth place, and has become the foundation model for the Arabic large model of Saudi Arabia’s HUMAIN. Xiaomi MiMo-V2.5 and Gemini 3.7 Flash dropped out of the ranking this week.

Chinese AI models remained ahead of the U.S. in weekly large-model usage for the 19th consecutive week, according to calculations published by National Business Daily based on the latest OpenRouter data. For the week of Aug. 31 to Sept. 6, global AI model calls reached 115 trillion tokens, up 1.77% from the previous week. China accounted for 56.72 trillion tokens, a 2.83% weekly increase, while the U.S. logged 16.54 trillion tokens, down 3.1%. Four of the top five models by usage were Chinese. Tencent Hunyuan Hy4 preview ranked first with 14.7 trillion tokens, posting a 379% week-over-week increase. GPT-5.6 Luna came in second at 12.9 trillion tokens, and Zhipu's GLM-5.3 Flash rose to third with 12.4 trillion tokens. DeepSeek-V4-Flash, in its official and preview versions, placed fourth and fifth. MiniMax M3 returned to the ranking after nearly a month and took sixth place. The report also said the model has become the foundation for HUMAIN's Arabic large language model in Saudi Arabia. Xiaomi's MiMo-V2.5 and Gemini 3.7 Flash fell out of the ranking during the week.

Saudi Arabian AI company HUMAIN launched its M3 model, initially claiming it as '100% Saudi'. After scrutiny, it clarified that the model is built upon China's MiniMax M3. Both use a Mixture-of-Experts architecture with 428 billion total parameters and 23 billion active parameters. HUMAIN performed post-training on over 1 trillion Arabic tokens, achieving an average score of 89.37% on 7 Arabic benchmarks. The company plans to open-source weights and deploy on Saudi servers. Analysts say this shows Chinese models are becoming the technical foundation for sovereign AI in other countries.

U.S. stocks closed lower Monday as investors weighed renewed Middle East tension, rising oil prices and a fresh jump in Treasury yields, with the 10-year yield climbing past the closely watched 4.75% level. The Dow Jones Industrial Average fell 0.70%, the S&P 500 dropped 0.33%, and the Nasdaq Composite lost 0.12%, even though all three major indexes still posted gains for August. According to PANews, Wall Street is turning more cautious heading into what has historically been the weakest month for the S&P 500 over the past 30 years, with an average decline of 0.8% in September. JPMorgan lowered its equity stance from bullish to “tactically cautious/neutral,” while Dakota Wealth Management and Franklin Templeton flagged 4.75% and 5% on the 10-year Treasury as key thresholds for risk assets. At the same time, the AI infrastructure trade remained active. Anthropic signed a $35 billion cloud computing agreement with Nvidia-backed Lambda, with data centers built by Hut 8 and leases held by Nvidia. Nvidia also announced a $3.5 billion convertible bond investment in MediaTek to jointly build AI factories. Storage, semiconductor and crypto-related stocks outperformed, while utilities sold off sharply and large-cap tech names turned mixed as higher rates pressured long-duration valuations.

U.S. markets turned cautious after July personal consumption expenditures data came in hotter than expected, pushing traders to lift bets on additional Federal Reserve tightening. The report showed headline PCE rising 3.7% year over year and 0.2% month over month, while core PCE stayed at 3.3% annually and 0.2% monthly. Treasury yields moved higher across the curve, with the 10-year near 4.66%, the 2-year around 4.22%, and the dollar index climbing to roughly 99.15. Gold fell under pressure from a firmer dollar and higher rate expectations, while oil traded weaker as rhetoric around Iran kept geopolitical risk in focus. Another inflation thread is building in food markets. Attacks on Black Sea ports cut Ukraine’s August grain shipments to about 20% of potential capacity, wheat futures on CBOT touched their highest level in nearly three years, and fertilizer supply disruptions tied to Hormuz added to cost pressure. HSBC warned that the 2026/27 global grain market could post its first supply-demand gap since 2020/21 and the largest shortage since 2006/07, while JPMorgan said global food inflation could rise from 2.8% in the first half of 2026 to 5% in the first half of 2027. After the bell, Nvidia delivered the day’s biggest market jolt. The chipmaker reported $96.2 billion in Q2 revenue and $89.0 billion from data center sales, both well ahead of expectations, and guided for about 70% revenue growth in fiscal 2028. The results helped revive AI spending sentiment and lifted software, storage, optical networking, and cybersecurity names in after-hours trading.

French artificial intelligence company Mistral said it has entered into a partnership worth several hundred million dollars with Middle Eastern AI company HUMAIN. The agreement centers on advancing AI autonomy and innovation across the Middle East, with a stated focus on regulated industries. According to the announcement cited by Techub News, the collaboration is intended to strengthen regional technological sovereignty. The deal was also described as one that could reshape the AI landscape in the Middle East. No additional financial breakdown, timeline, or implementation details were disclosed in the source summary.