Alibaba CEO Wu Yongming: Machine thinking will exceed human thinking by 1,000 times
At the 2026 Hangzhou Yunqi Conference on September 22, Alibaba Group CEO Wu Yongming forecast that total machine thinking will exceed human thinking by 1,000 times, up from less than 3% today. He identified AI models, AI chips, and AI cloud as three foundational pillars, announcing Alibaba's long-term investment in these areas. Wu revealed the Qwen team's progress in recursive self-improvement toward 5-10 trillion parameter models, the release of the Zhenwu V900 AI chip with triple the computing power of its predecessor, and a target for Alibaba Cloud to operate over 20GW of global data center capacity by 2032.
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Alibaba CEO Wu Yongming: Machine thinking will exceed human thinking by 1,000 times
At the 2024 Apsara Conference (Yunqi Conference) on September 22, Alibaba Group CEO Wu Yongming shared two key judgments about the future of machine intelligence. First, he predicted that the total amount of machine thinking will reach more than 1,000 times that of humans, comparing this shift to the Industrial Revolution which commoditized power. Second, he argued that the representative products of the machine intelligence era have not yet emerged, likening today's AI coding to the electric light bulb in 1882, with many more inventions like air conditioners, washing machines, and refrigerators to follow. Wu stated that AI models, AI chips, and AI cloud are the three pillars of the machine intelligence era, and that Alibaba will firmly invest in these three infrastructures as a long-term strategic choice.
Read sourceAlibaba Unveils New AI Chip, Targets 20GW Data Center Capacity by 2032 at Qiyun Conference
At the 2026 Qiyun Conference in Hangzhou, Alibaba Group CEO Wu Yongming outlined the company's long-term AI strategy, stating that machines will become the primary thinking force, with total machine thought potentially exceeding human thought by 1,000 times. He identified AI models, AI chips, and AI cloud as the three core pillars of the machine intelligence era. Alibaba's chip subsidiary Pingtouge released the new domestic AI chip Zhenwu V900, which offers three times the computing power of its predecessor, the Zhenwu M890, and can support clusters of up to 500,000 cards. Alibaba also plans to develop a new large model with 5 to 10 trillion parameters. Alibaba Cloud set a quantitative target to operate data centers with a total capacity exceeding 20GW globally by 2032. The company reported that AI-related product annualized revenue has surpassed 49.5 billion yuan, accounting for 35% of Alibaba Cloud's external commercial revenue. Zhongtai Securities noted that Alibaba's AI strategy is evolving from single-model competition to full-stack competition in the Agent era, and expects intelligent agents to enter real business scenarios, driving further growth in token calls and AI cloud inference demand.
Read sourceAlibaba CEO Wu Yongming: Machine thinking will exceed human thinking by 1,000 times, firm to boost AI models, chips, cloud
At the 2026 Hangzhou Yunqi Conference on September 22, Alibaba Group CEO Wu Yongming delivered a keynote speech on the 'machine intelligence' era. He forecast that total machine thinking will eventually exceed human thinking by 1,000 times, and that 99.9% of thinking work could be handled by machines. Wu compared current AI coding to the electric light bulb in 1882, arguing the truly transformative product has yet to emerge. He stated that Alibaba will make AI models, AI chips, and AI cloud its three core strategic pillars for long-term investment. In AI models, Alibaba's Qwen team is exploring recursive self-improvement (RSI) toward artificial superintelligence (ASI) and plans a 5-10 trillion parameter model. In AI chips, T-Head announced the Zhenwu V900 GPU with 3x the compute of its predecessor, supporting clusters up to 500,000 cards. In AI cloud, Alibaba Cloud set a target to operate over 20GW of global data center capacity by 2032. Wu emphasized that machine intelligence will become as accessible as electricity, requiring a global high-performance super network.
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Alibaba CEO Wu Yongming: Machine thinking will exceed human thinking by 1,000 times, firm to boost AI models, chips, cloud
On September 22, 2026, at the Hangzhou Yunqi Conference, Alibaba Group CEO Wu Yongming delivered a keynote speech on the 'machine intelligence' era. He stated that machines are becoming the main force of thinking, and that total machine thinking will eventually exceed human thinking by more than 1,000 times, potentially taking over 99.9% of thinking work. Wu compared current AI coding to the electric light in 1882, arguing that the representative product of the machine intelligence era has not yet emerged. He predicted the next transformation will target the cognitive domain, making top-tier thinking capabilities a scalable commodity. Alibaba identified AI models, AI chips, and AI cloud as the three core pillars of the machine intelligence era and will invest in them as long-term strategies. On AI models, Alibaba's Qwen team is exploring recursive self-improvement (RSI) toward artificial superintelligence (ASI) and planning a 5-10 trillion parameter model. On AI chips, T-Head released the new Zhenwu V900 GPU with 3x the compute power of its predecessor, supporting clusters of up to 500,000 cards. On AI cloud, Alibaba Cloud set a target of operating over 20 GW of global data center capacity by 2032.
Read sourceAlibaba CEO Wu Yongming: Machines will handle 99.9% of thinking, 1,000 times human capacity
At the 2026 Hangzhou Yunqi Conference, Alibaba Group CEO Wu Yongming delivered a keynote speech outlining his strategic vision for the 'machine intelligence' era. He argued that just as industrial machinery took over 99.9% of physical labor, machines will eventually handle 99.9% of thinking work, with total machine thought exceeding human thought by a factor of 1,000. He noted that current machine thinking accounts for less than 3% of this potential, implying vast room for growth. Wu identified three pillars for Alibaba in this era: AI models, AI chips, and AI cloud. He announced that Alibaba's Qwen team has made progress in recursive self-improvement, with future models scaling to 5-10 trillion parameters. Alibaba's chip subsidiary Pingtouge released the new Zhenwu V900 AI chip, offering three times the compute power of its predecessor. Wu committed to expanding Alibaba Cloud's global data center capacity beyond 20 GW by 2032, describing AI cloud as a 'super grid' for distributing machine intelligence. He distinguished 'machine intelligence' from 'artificial intelligence,' arguing that AI's true potential lies in long-term tasks, autonomous action, and self-iteration, not merely mimicking human tasks. Wu predicted that AI could democratize top-tier thinking, enabling massive parallel research in niche fields like rare diseases, and empower 'super individuals' with immense intellectual leverage. He cautioned that the defining applications of the machine intelligence era have yet to emerge, comparing current AI to Edison's early electric lights, and stressed the need to build robust AI infrastructure.
Read sourceAlibaba's T-Head Unveils Zhenwu V900 AI Chip, Forecasts Major Shipment Increase
At the 2026 Hangzhou Yunqi Conference on September 22, Alibaba Group CEO Eddie Wu (吴泳铭) delivered a speech on the 'machine intelligence' era. Wu argued that machines are becoming the primary thinkers and that intelligence is becoming a scalable commodity, with total machine thinking potentially exceeding human thinking by 1,000 times. He compared the current state of AI Coding to the electric light bulb in 1882, which replaced existing work but did not yet create a new era. Wu identified three pillars of the machine intelligence era: AI models, AI chips, and AI cloud. He announced that Alibaba's T-Head (平头哥) has released the Zhenwu V900 (真武V900), described as the strongest domestic AI chip, with computing power three times that of the Zhenwu M890 and capable of scaling to 500,000 cards in a single cluster. T-Head's annual AI chip shipments are expected to increase significantly. Wu also stated that the Qwen team has made progress in recursive self-improvement (RSI), with future models expanding to 5-10 trillion parameters. Alibaba aims to operate global data centers exceeding 20GW by 2032.
Read sourceAlibaba CEO Vows Heavy Investment in AI Models, Chips, and Cloud at Cloud Summit
At the 2026 Hangzhou Cloud Summit on September 22, Alibaba Group CEO Wu Yongming outlined the company's long-term strategy to invest heavily in AI infrastructure, which he called the three pillars of the machine intelligence era: AI models, AI chips, and AI cloud. Wu predicted that machine thinking will eventually handle 99.9% of all thinking work, with total machine thought volume reaching 1,000 times that of humans, up from less than 3% today. He described a path to artificial superintelligence (ASI) through recursive self-improvement (RSI), which the Qwen team is exploring. Alibaba's chip subsidiary Pingtouge released the Zhenwu V900 AI chip, claiming three times the computing power of its predecessor and supporting clusters of up to 500,000 cards. The company aims to operate data centers totaling over 20GW globally by 2032. Wu emphasized that current AI demand far exceeds supply due to global supply chain constraints, and Alibaba will work with partners to expand capacity.
Read sourceAlibaba CEO Wu Yongming: AI demand strong, targets 20GW data center capacity by 2032
At the 2026 Hangzhou Cloud Computing Conference, Alibaba Group CEO Wu Yongming delivered a speech on the 'machine intelligence' era, stating that machines are becoming the primary thinking force and that intelligence is becoming a scalable commodity. He outlined three pillars of this era: AI models, AI chips, and AI cloud. Wu noted that AI demand is very strong and medium-to-long-term demand far exceeds supply capacity. He announced that Alibaba will invest heavily in AI infrastructure, aiming for its global data center capacity to exceed 20GW by 2032. Wu also revealed that Alibaba will release a new AI chip, the Zhenwu V900, described as the most powerful domestic AI chip with performance three times that of the M890, capable of scaling to 500,000 cards in a single cluster. He added that the Qwen team has made progress in recursive self-improvement (RSI), with future models targeting 5-10 trillion parameters, moving toward artificial superintelligence (ASI).
Read sourceAlibaba CEO Wu Yongming: Machine thinking will exceed human thinking by 1,000 times
At the 2026 Apsara Conference on September 22, Alibaba CEO Wu Yongming delivered a keynote speech outlining three key predictions for the machine intelligence era. First, he forecast that total machine thinking will be 1,000 times that of humans, up from less than 3% today, and will eventually handle 99.9% of thinking work, turning top-tier thinking from a luxury into a scalable commodity. Second, he argued that the representative product of the machine intelligence era has not yet emerged, comparing current AI applications to the early use of electricity for lighting before transformative appliances were invented. Third, he identified AI models, AI chips, and AI cloud as the three pillars of the machine intelligence era, stating that Alibaba will firmly invest in these infrastructure areas as a long-term strategic choice. Wu also revealed that the Qwen team is making progress on recursive self-improvement and plans to train models with 5 to 10 trillion parameters, aiming toward artificial superintelligence. Additionally, Alibaba's chip subsidiary Pingtouge released the new Zhenwu V900 AI chip, claiming triple the computing power of its predecessor and the ability to scale to 500,000 cards in a single cluster. Alibaba targets operating over 20 GW of global data center capacity by 2032.
Read sourceAlibaba CEO Wu Yongming: Machine thinking will be 1,000 times that of humans in the future
At the 2026 Apsara Conference on September 22, Alibaba CEO Wu Yongming delivered a keynote speech outlining his vision for the coming machine intelligence era. He predicted that total machine thinking will eventually be 1,000 times that of humans, up from less than 3% today, and that machines will handle 99.9% of thinking work, turning top-tier intelligence into a scalable commodity. Wu stated that the representative product of the machine intelligence era has not yet emerged, comparing current AI applications to the early use of electricity for lighting. He identified AI models, AI chips, and AI cloud as the three pillars of this era, and said Alibaba will invest heavily in these areas. The company's Qwen team is making progress on recursive self-improvement and plans to train models with 5 to 10 trillion parameters, aiming toward artificial superintelligence (ASI). Alibaba's chip subsidiary, Pingtouge, released the new Zhenwu V900 AI chip, which offers three times the computing power of its predecessor and can scale to 500,000 cards in a single cluster. Alibaba aims to operate over 20 GW of global data center capacity by 2032. Wu concluded that the goal is to leave heavy tasks to machines while preserving human time, creativity, and appreciation for beauty.
Read sourceAlibaba CEO Vows Heavy Investment in AI Models, Chips, and Cloud at 2026 Cloud Summit
At the 2026 Hangzhou Cloud Summit, Alibaba Group CEO Wu Yongming outlined a vision where machine thinking becomes a scalable commodity, predicting machines will eventually handle 99.9% of thinking work, up from less than 3% today. He argued that this requires robust AI infrastructure, akin to the electrical grid. Alibaba will invest heavily in three foundational pillars: AI models, AI chips, and AI cloud. On models, Alibaba's Qwen team is exploring recursive self-improvement (RSI) and plans a 5-10 trillion parameter model, alongside multimodal models. On chips, Alibaba's Pingtouge unveiled the Zhenwu V900 GPU, claiming triple the performance of its predecessor, enabling 500,000-card clusters. On cloud, Alibaba Cloud aims to operate over 20 GW of global data center capacity by 2032 to meet surging AI demand, which currently outstrips supply due to global supply chain constraints.
Read sourceAlibaba's T-Head Unveils Zhenwu V900 AI Chip at 2026 Cloud Summit
At the 2026 Hangzhou Cloud Summit on September 22, Alibaba Group CEO Eddie Wu stated that machine thinking will become a scalable commodity, similar to power in the Industrial Revolution. He predicted machine thinking will eventually handle 99.9% of cognitive work, with total machine thought volume expected to be 1,000 times that of humans, up from less than 3% today. Wu identified AI models, AI chips, and AI cloud as the three pillars of the machine intelligence era, and said Alibaba will invest heavily in these areas. The company's chip unit, T-Head, released the Zhenwu V900, described as the strongest domestic AI chip, with computing power three times that of its predecessor, the Zhenwu M890. A single cluster based on the V900 can scale to 500,000 cards. Alibaba also announced plans to expand its global data center capacity to over 20 GW by 2032 to meet surging AI demand. The Qwen team is exploring RSI and plans to train a new model with 5-10 trillion parameters, aiming toward artificial superintelligence (ASI).
Read sourceAlibaba CEO Wu Yongming Targets 20GW Global Data Center Capacity by 2032
At the 2026 Hangzhou Cloud Summit on September 22, Alibaba Group CEO Wu Yongming delivered a speech on the 'machine intelligence' era. He argued that machines are becoming the primary thinkers and that intelligence is becoming a scalable commodity, with future machine thinking potentially exceeding human thought by 1,000 times. Wu compared this shift to the Industrial Revolution. He stated that the representative product of the machine intelligence era has not yet emerged, likening current AI Coding to the electric light bulb in 1882. He identified three pillars for this era: AI models, AI chips, and AI cloud. Alibaba plans to invest heavily in these areas. Specific announcements included progress on Qwen's recursive self-improvement (RSI) towards 5-10 trillion parameter models, the release of the Pingtouge Zhenwu V900 AI chip with 3x the performance of its predecessor and scalability to 500,000 cards, and a target for Alibaba Cloud to operate over 20 gigawatts of global data center capacity by 2032.
Read sourceAlibaba CEO Wu Yongming Vows to Invest in AI Models, AI Chips, and AI Cloud as Three Pillars
At the 2026 Hangzhou Cloud Summit, Alibaba Group CEO Wu Yongming delivered a speech outlining his vision for the 'machine intelligence' era. He argued that machines are becoming the primary thinkers and that intelligence will become a scalable commodity, with total machine thinking potentially exceeding human thinking by 1,000 times. Wu compared this shift to the Industrial Revolution, which turned power into a commodity. He stated that the representative product of the machine intelligence era has not yet emerged, likening current AI coding to the electric light bulb in 1882. Wu identified three foundational pillars for the era: AI models, AI chips, and AI cloud. He announced that Alibaba will firmly invest in these areas. Specifics include: the Qwen team's progress in recursive self-improvement (RSI) aiming for 5-10 trillion parameter models; the release of the Zhenwu V900 AI chip, with 3x the compute of its predecessor and scalability to 500,000 cards; and a goal for Alibaba Cloud to operate over 20 GW of global data center capacity by 2032, citing strong and growing customer AI demand.
Read sourceAlibaba CEO Wu Yongming Targets 20GW Global Data Center Capacity by 2032
At the 2026 Hangzhou Cloud Summit on September 22, Alibaba Group CEO Wu Yongming delivered a speech on the 'machine intelligence' era, stating that machines are becoming the primary thinkers and that machine thinking will exceed human thinking by over 1,000 times. He outlined three pillars of this era: AI models, AI chips, and AI cloud. Alibaba's Qwen team has made progress in recursive self-improvement (RSI), aiming for models with 5-10 trillion parameters toward artificial superintelligence (ASI). The company's chip unit, Pingtouge, released the Zhenwu V900, claimed to be China's most powerful AI chip, with three times the computing power of its predecessor and scalability to 500,000 cards in a single cluster. Wu noted that customer AI demand is very strong, with medium- to long-term demand far exceeding supply. Alibaba plans to invest heavily in AI infrastructure, targeting over 20GW of global data center capacity operated by Alibaba Cloud by 2032.
Read sourceAlibaba CEO Wu Yongming: Future machine thinking will exceed human thinking by 1,000 times
At the 2026 Apsara Conference, Alibaba Group CEO Wu Yongming delivered a keynote speech outlining his vision for the 'machine intelligence' era. He argued that machine thinking will eventually account for 99.9% of all thinking, with total machine thought exceeding human thought by over 1,000 times, driven by scalable AI infrastructure. Wu compared this shift to the Industrial Revolution, which turned physical power into a commodity. He stated that the representative products of the machine intelligence era have not yet emerged, comparing current AI coding to the early electric light bulb. Alibaba's strategy focuses on three foundational pillars: AI models (with the Qwen team advancing recursive self-improvement towards ASI with 5-10 trillion parameter models), AI chips (announcing the Zhenwu V900, claiming it is China's most powerful AI chip with 3x performance improvement and scalability to 500,000 cards per cluster), and AI cloud (targeting over 20GW of global data center capacity by 2032). Wu emphasized that Alibaba will invest heavily in this infrastructure to meet surging AI demand.
Read sourceAlibaba CEO Vows Heavy Investment in AI Models, Chips, and Cloud at 2026 Cloud Summit
At the 2026 Hangzhou Cloud Summit, Alibaba Group CEO Wu Yongming outlined the company's long-term strategy to invest heavily in three foundational pillars of the machine intelligence era: AI models, AI chips, and AI cloud. Wu predicted that machine thinking will eventually handle 99.9% of all thinking tasks, becoming a mass-producible commodity like electricity. He stated that Alibaba's Qwen team is exploring recursive self-improvement (RSI) and plans to train a new model with 5-10 trillion parameters. The company also announced the release of its new AI chip, the Zhenwu V900, which offers three times the computing power of its predecessor and can support clusters of up to 500,000 cards. On the cloud side, Alibaba Cloud aims to operate data centers with a total capacity exceeding 20 GW by 2032 to meet surging AI demand. Wu emphasized that current AI demand far outstrips supply due to global supply chain constraints, and Alibaba is committed to building a global AI cloud network.
Read sourceAlibaba CEO Wu Yongming: Future machine thinking will exceed human levels by 1,000 times
At the 2026 Hangzhou Yunqi Conference, Alibaba Group CEO Wu Yongming delivered a speech on the 'machine intelligence' era. He stated that machines are becoming the primary thinkers and that intelligence is becoming a commoditized good, predicting that total machine thinking will exceed human thinking by more than 1,000 times. He compared this shift to the Industrial Revolution, which turned power into a commodity. Wu argued that current AI applications like coding and report writing are only the初级阶段 (initial stage), analogous to the electric light bulb in 1882, and that the truly representative products of the machine intelligence era have yet to emerge. He identified three foundational pillars for this era: AI models, AI chips, and AI cloud. Alibaba announced progress in each area: its Qwen team is advancing recursive self-improvement (RSI) toward models with 5-10 trillion parameters; its chip subsidiary Pingtouge released the Truewu V900, claiming it is China's most powerful domestic AI chip with 3x the performance of its predecessor and scalable to 500,000 cards per cluster; and Alibaba Cloud aims to operate over 20 GW of global data center capacity by 2032, citing strong customer AI demand that far exceeds supply.
Read sourceAlibaba CEO Wu Yongming: Machine intelligence era arrives, thinking volume to surpass humans 1,000-fold
At the 2026 Hangzhou Yunqi Conference, Alibaba Group CEO Wu Yongming stated that the era of machine intelligence is arriving. He argued that AI has moved beyond human replacement to a new machine intelligence era, where machine intelligence is an independent new technological species, not a replica of human intelligence. Wu claimed that current machine thinking volume is only 3% of human thinking, but will grow over a thousand times in the future, potentially undertaking 99.9% of global thinking work. This would transform top intellectual resources from scarce luxuries into scalable, affordable commodities, unleashing social innovation potential. He also revealed that the Qwen team is advancing model architecture and data optimization research, planning to train a new model with 5-10 trillion parameters, aiming to complete more complex, longer-term tasks and move toward Artificial Superintelligence (ASI).
Read sourceAlibaba CEO Wu Yongming: Machine Intelligence Era Dawns, Thinking Volume to Surpass Humans 1,000-Fold
At the 2026 Hangzhou Yunqi Conference, Alibaba Group CEO Wu Yongming stated that the era of machine intelligence is arriving. He argued that AI has moved beyond mere human replacement into a new phase where machine intelligence is an independent technological species, not a replica of human intelligence. Wu forecast that current machine thinking volume is only 3% of human thinking, but will grow over a thousand times in the future, potentially handling 99.9% of global thinking tasks. This would transform top-tier intellectual resources from scarce luxuries into scalable, affordable commodities, unleashing social innovation. He also revealed that the Qwen team is advancing model architecture and data optimization research, planning to train a new model with 5-10 trillion parameters, aiming to handle more complex, longer-term tasks and progress toward Artificial Superintelligence (ASI).
Read sourceAlibaba CEO Wu Yongming Predicts Machine Thinking Will Exceed Human Thinking by 1,000 Times
At the 2026 Hangzhou Yunqi Conference on September 22, Alibaba Group CEO Wu Yongming delivered a speech on the era of 'machine intelligence.' He argued that machines are becoming the primary drivers of thinking and that intelligence is becoming a commoditized product. Wu forecasted that the total volume of machine thinking will eventually surpass human thinking by more than 1,000 times. He identified AI models, AI chips, and AI cloud as the three foundational pillars of the machine intelligence era. Wu stated that Alibaba is committed to investing in these three areas as a long-term strategic priority. The report was sourced from Securities Times and published by Jin10 Data.