NEWS · OTHER · #2725
Living digital twins and agentic AI push toward industrial autonomy
MIT Technology Review Insights describes how “living” digital twins—continuously updated, high-fidelity digital models linked to real-time control systems—combined with agentic AI are shifting industrial systems from passive diagnostics to selective autonomous actions, while keeping humans in supervisory roles. The piece cites industry data (Manufacturing Leadership Council 2026; Deloitte 2025) showing 66% of manufacturers are using or plan to use agentic AI, 40% expect some factory autonomy by 2030, and 65% of executives rank operational risk as a top concern.
KEY POINTS
- MIT Technology Review Insights describes how “living” digital twins—continuously updated, high-fidelity digital models linked to real-time control systems—combined with agentic AI are shifting industrial systems from passive diagnostics to selective autonomous actions, while keeping humans in supervisory roles.
- The piece cites industry data (Manufacturing Leadership Council 2026; Deloitte 2025) showing 66% of manufacturers are using or plan to use agentic AI, 40% expect some factory autonomy by 2030, and 65% of executives rank operational risk as a top concern.
- Combining live digital twins with agentic AI could enable continuous automated adjustments that improve uptime and efficiency but also raises governance and operational-risk challenges requiring human oversight.
WHY IT MATTERS
Combining live digital twins with agentic AI could enable continuous automated adjustments that improve uptime and efficiency but also raises governance and operational-risk challenges requiring human oversight.