TREE NEWS update: Chinese Academy of Sciences academician and Peking University chair professor E Weinan said at the Guanghua Thought Leadership Forum that AI, essentially ‘mathematics plus computer engineering,’ will sharply lower research barriers and drive ‘research democratization,’ allowing any capable team or individual to participate in innovation through open labs and cloud services. He argued that insufficient innovation capacity is the root cause of corporate involution and that an AI-native industrial software system could match or surpass Siemens within one to two years.
CAS Academician E Weinan: AI Will Drive ‘Research Democratization’
The claim that an AI-native industrial software system could match or surpass Siemens within one to two years is the most concrete and contestable part of this, and it lands in a market long dominated by entrenched incumbents. The 'research democratization' framing matters less as a prediction than as a signal that senior Chinese scientific figures are publicly aligning AI with lowering entry barriers for smaller players. The open question is whether such timelines reflect genuine capability or aspirational positioning, and whether industrial software buyers treat AI-native entrants as credible alternatives to established vendors.
Generated by AI for reference only.
Share on WeChat
Open WeChat → Scan → then tap "…" to send to a chat or Moments.
Tap "…" in the top-right corner to send to a chat or share to Moments.