Home
Alibaba’s Jack Ma, Cao Xingxin: AI to Become Invisible Infrastructure, Knowledge Worker TAM Hits $50 Trillion

Alibaba Group Chairman Jack Ma recently spoke at Wave by Vento 2026, an Italian technology and investment summit, predicting that artificial intelligence will transition from a standalone topic to embedded infrastructure across industries within five years.
Ma noted that while current AI excels at saving time, its potential to enhance how we spend time remains largely untapped. He identified boosting knowledge worker productivity as the most viable application, estimating a total addressable market of $50 trillion. Additionally, AI is poised to accelerate breakthroughs in healthcare and scientific research.
Regarding Alibaba’s strategic roadmap, Ma divided the company’s evolution into “Before Christ” (BC) and “After Death” (AD) phases, using 2023 as the pivot point. He reaffirmed e-commerce and full-stack AI as core pillars, driving comprehensive progress across computing power, models, and applications.
On China’s AI competitiveness, Ma highlighted that the country accounts for roughly 30% of global industrial output. High-value manufacturing data and robust hardware supply chains in electric vehicles and robotics offer distinct advantages as AI merges with the physical world. He also emphasized open-source philosophy, noting it empowers European “Neo Cloud” firms to leverage local infrastructure and optimized models for operational efficiency.
As technological innovation and uncertainty intersect, AI is approaching full-stack ubiquity. Ma’s insights on Alibaba’s strategy and open-source ecosystem not only chart the company’s course in the intelligent era but also offer valuable guidance for global industries pursuing hardware-software integration and cross-border collaboration.
Related article
Global AI Regulation Shifts to Pre-Release Mandatory Testing
As large AI models advance rapidly, global regulatory frameworks are shifting from voluntary guidelines to government-led, evidence-based mandates. This transition signals a new era of practical AI regulation.1. The New Standard: Who Audits AI Models
U.S. government backs OpenAI in copyright dispute over LLM training
The Trump administration has submitted a 20-page brief supporting OpenAI in a copyright lawsuit filed by The New York Times, defending the company’s practice of using unlicensed copyrighted material to train its large language models.“The United Stat
Nvidia quietly builds multibillion-dollar behemoth to rival chip business
Nvidia CEO Jensen Huang anticipated the market by over a decade, initiating work on AI-specific chips in 2010, long before the current AI boom. A parallel strategic move in 2020—bolstering data center networking through a key acquisition—has created
Related Special Topic Recommendations
Comments (0)
0/500

Alibaba Group Chairman Jack Ma recently spoke at Wave by Vento 2026, an Italian technology and investment summit, predicting that artificial intelligence will transition from a standalone topic to embedded infrastructure across industries within five years.
Ma noted that while current AI excels at saving time, its potential to enhance how we spend time remains largely untapped. He identified boosting knowledge worker productivity as the most viable application, estimating a total addressable market of $50 trillion. Additionally, AI is poised to accelerate breakthroughs in healthcare and scientific research.
Regarding Alibaba’s strategic roadmap, Ma divided the company’s evolution into “Before Christ” (BC) and “After Death” (AD) phases, using 2023 as the pivot point. He reaffirmed e-commerce and full-stack AI as core pillars, driving comprehensive progress across computing power, models, and applications.
On China’s AI competitiveness, Ma highlighted that the country accounts for roughly 30% of global industrial output. High-value manufacturing data and robust hardware supply chains in electric vehicles and robotics offer distinct advantages as AI merges with the physical world. He also emphasized open-source philosophy, noting it empowers European “Neo Cloud” firms to leverage local infrastructure and optimized models for operational efficiency.
As technological innovation and uncertainty intersect, AI is approaching full-stack ubiquity. Ma’s insights on Alibaba’s strategy and open-source ecosystem not only chart the company’s course in the intelligent era but also offer valuable guidance for global industries pursuing hardware-software integration and cross-border collaboration.
Global AI Regulation Shifts to Pre-Release Mandatory Testing
As large AI models advance rapidly, global regulatory frameworks are shifting from voluntary guidelines to government-led, evidence-based mandates. This transition signals a new era of practical AI regulation.1. The New Standard: Who Audits AI Models
U.S. government backs OpenAI in copyright dispute over LLM training
The Trump administration has submitted a 20-page brief supporting OpenAI in a copyright lawsuit filed by The New York Times, defending the company’s practice of using unlicensed copyrighted material to train its large language models.“The United Stat
Nvidia quietly builds multibillion-dollar behemoth to rival chip business
Nvidia CEO Jensen Huang anticipated the market by over a decade, initiating work on AI-specific chips in 2010, long before the current AI boom. A parallel strategic move in 2020—bolstering data center networking through a key acquisition—has created











