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# Pairing industrial AI autonomy and human control

**[MIT Technology Review](https://daily.dev/sources/technologyreview)** · 7 min read · 0 upvotes · 0 comments

## Summary

Living digital twins are evolving from passive simulations into systems that can act on insights and intervene in physical operations. AVEVA's chief product officer Rob McGreevy says agentic AI is pushing plants toward 'industrial homeostasis' with constant automated adjustments, though human oversight still defines what healthy operation looks like. A 2026 Manufacturing Leadership Council survey found 66% of manufacturers use or plan to use agentic AI, and 40% expect some factory autonomy by 2030. Deloitte's 2025 survey found 65% of executives still rank operational risk as a top concern. Examples include Nestlé tuning dryers to cut energy use 16% in a landmark test at Nesquik plants and SCG Chemicals reporting 99% plant reliability with a ninefold ROI in six months.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.technologyreview.com/2026/10/28/1147637/pairing-industrial-ai-autonomy-and-human-control>

## Questions this post answers

### What percentage of manufacturers plan to use agentic AI in their operations?

66% of manufacturers said they are using or plan to use agentic AI in their operations, according to a 2026 Manufacturing Leadership Council survey. Additionally, 40% of respondents expect some degree of factory autonomy by 2030, while executives in a separate Deloitte survey still rank operational risk among their top concerns.

_Track how agentic AI adoption in manufacturing shifts with trusted coverage on daily.dev._

### How much energy did Nestlé save by using AI to optimize its Nesquik drying process?

Nestlé reduced energy use by 16% at its Nesquik plants by applying AI optimization to tune industrial dryers used for powdered beverage ingredients. The tuning also improved product quality and yield, making it one of the concrete results cited for AI-driven process optimization in manufacturing.

_Developers building industrial optimization tools can follow real-world AI efficiency gains on daily.dev._

### What results has SCG Chemicals reported from its AI-supported digital twin?

SCG Chemicals in Thailand reports 99% plant reliability and a ninefold return on investment within six months after deploying an AI-supported digital twin spanning engineering, operations, and maintenance. The system monitors asset health and flags potential failures across the facility.

_Anyone evaluating digital twin ROI can compare real deployment outcomes via daily.dev._

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---

Tags: [#agentic-ai](https://daily.dev/tags/agentic-ai), [#ai-governance](https://daily.dev/tags/ai-governance), [#digital-twin](https://daily.dev/tags/digital-twin)

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