# Arungalai Anbarasu

Arungalai Anbarasu works on manufacturing technology at Körber, sharing perspectives on industrial AI, smart factories, and how automation, software, data, and people can work together to improve industrial operations.

- Profile: https://b2binfluencer.marketing/creators/arungalai-anbarasu/
- LinkedIn: https://www.linkedin.com/in/arungalai-anbarasu
- LinkedIn followers: 16,190
- Topics: artificial-intelligence, industrial-ai
- Based on 14 dated posts, latest 2026-09-23

## Summary

Useful for manufacturing technology thought leadership on industrial AI, smart factories, and practical execution.

- Best for: Industrial technology brands seeking LinkedIn-first thought leadership on AI, automation, and smart factories.
- Not for: Consumer product launches needing proven buyer reach or independent creator sponsorships.
- Check first: Ask for technical implementation examples, measured results, and whether collaboration must go through Körber.

### Takeaways

- Industrial AI should use deep industrial expertise to improve efficiency, productivity, resilience, and decisions.
- Smart factory progress is a maturity journey with near-term returns, not a lights-out destination.
- Industry 5.0 should be human-centric and sustainable, built on one integrated technology foundation.

## Main ideas

- **Industrial AI earns its keep through industrial expertise, not another technology layer**: In a recap of a TECH by Handelsblatt panel on Industrial AI, Arungalai Anbarasu argues that AI creates value not by adding another technology layer but by addressing industrial challenges such as efficiency, productivity, resilience, and better decision-making. That value depends on deep industrial domain expertise. The post also stresses that discussion alone is not enough and that debates on technological sovereignty and innovation need a breadth of perspectives.
- **The smart factory is a maturity journey with near-term returns, not a lights-out destination**: Arungalai Anbarasu presents the smart factory as a journey of continuous transformation, not a destination. The biggest shift, the post argues, is not toward “lights-out” manufacturing but toward connected, intelligent, resilient operations where people, data, AI, and automation work together to create measurable value. Factories are built one strategic decision at a time, with ROI arriving long before full autonomy.
- **Industry 5.0 should be human-centric and sustainable, built on one integrated technology foundation**: In a Körber-branded post, Arungalai Anbarasu frames Industry 5.0 as reshaping smart factories and process solutions around resilience, human centricity, and sustainability. The next leap, the post argues, comes from connecting hardware, software, digital, and AI into a single technology foundation. Competitive advantage lies not in technology alone but in the ability to adapt, learn, and evolve continuously. Transformation begins with a decision.
- **Ecosystems, not isolated technology, deliver industrial impact**: Arungalai Anbarasu argues that technology reshapes industries, but ecosystems deliver impact. The convergence of automation, software, and AI is redefining how industries scale, and collaboration unlocks that potential. Complementary strengths across companies, the post suggests, deliver faster progress than any single vendor can achieve alone.
- **Europe needs to move from ambition to execution on industrial technology**: In the same conference recap, Arungalai Anbarasu argues that Europe must move faster from ambition to execution to strengthen its position: set tangible goals, build ecosystems, and push boundaries. The post calls for thinking globally while staying grounded in local realities, and links resilience with innovation.

## Work to read

- [TECH by Handelsblatt panel on Industrial AI](https://www.linkedin.com/posts/arungalai-anbarasu_tech2026-techspeakers-physicalai-activity-7468220470828478464-90Rg)
- [The smart factory as a continuous journey](https://www.linkedin.com/posts/arungalai-anbarasu_the-smart-factory-isnt-a-destinationits-activity-7483811599225507841-hOzQ)
- [Industry 5.0 and Körber’s AIR Technologies](https://www.linkedin.com/posts/arungalai-anbarasu_wearek%C3%B6rber-activity-7460000765428994049-VfAx)
- [Technology reshapes industries, ecosystems deliver impact](https://www.linkedin.com/posts/arungalai-anbarasu_technology-reshapes-industries-ecosystems-activity-7454491793758535680-ctwP)

## Brand relationships

- **Körber** (employment)
- **Schneider Electric Industrial Automation** (disclosed_partnership)
- **Forbes Technology Council** (mention)
- **TECH by Handelsblatt** (mention)

## Partnerships

Arungalai Anbarasu writes about industrial AI and smart factories in a corporate communications role at Körber. The only external collaboration visible in their posts is Körber's industrial-automation tie-up with Schneider Electric Industrial Automation, described as fusing complementary strengths to accelerate intelligent manufacturing for smart-factory customers. They also joined an Industrial AI panel at TECH by Handelsblatt alongside Stephan Scheuer, Maria Mikhaylenko, Felix Henseler, and Jacomo Corbo, and publish on smart-factory maturity through the Forbes Technology Council. The posts do not mention a sponsor policy, rate card, media kit, disclosure statement, or partnership inquiry route. Brands considering a collaboration should ask Körber about the appropriate channel, commercial terms, approval steps, and disclosure expectations.

## Alternatives

- Pierre Le Manh: Choose Le Manh over Anbarasu when the campaign's priority is delivery and workforce capability, not the technology story. Le Manh connects the US manufacturing rebuild to project execution: one post cites a McKinsey analysis that puts the challenge at roughly $2 trillion, or 6% of GDP, and argues that the constraints are energy, skills, and shovel-ready projects—not capital or policy intent. Another recaps a Seoul summit of about 500 executives and project professionals across Asia-Pacific. It describes China, India, Korea, Taiwan, Japan, and Southeast Asia as a portfolio of different AI strengths, and argues AI "cannot absorb accountability"; project leaders must decide what can be delegated, what needs oversight, and what should not be delegated at all. For a manufacturing technology company seeking project and program leaders responsible for implementing industrial AI, Le Manh offers a practitioner-community framing and a global convening platform.
- Peter Koerte: Choose Koerte over Anbarasu when the campaign concerns industrial AI's physical constraints—power, grids, and sovereignty—or regional production and supply chains. One Koerte post recaps a conversation with Jake Sullivan, arguing that digital and energy sovereignty have become the same conversation: sovereign compute needs controllable power, and a grid absorbing new demand needs AI to run it. The post also states that the company is building two US plants, more than $200 million in Georgia and Texas, making electrical equipment for AI data centers. A second post tells a factory-floor story: apprentices at a Siemens Amberg factory built a miniature world, including a 3D-printed Allianz Arena, powered and controlled entirely by the products they make—relays, safety devices, contactors, and power supplies. Colleagues joined in on breaks. For a manufacturing technology company focused on infrastructure, energy, or regional capacity rather than factory software, Koerte speaks directly to those constraints.
- Vijay Mehra: Choose Mehra over Anbarasu when a campaign aims to move industrial AI from pilots to core operations in heavy industry and needs an enterprise-IT and CIO angle. One Mehra post describes being part of a cross-functional leadership team at U.S. Steel scaling AI and cites a McKinsey State of AI report. It draws a distinction: most companies experiment, fewer scale, and very few capture meaningful impact; the gap is execution, not models. The post lists where AI-IT becomes tangible in steel, pulp and paper, and industrial chemicals—predictive maintenance, yield optimization, energy efficiency, and supply chain intelligence—and says the CIO role is shifting from enabling systems to driving enterprise value. A second post makes the same case through Gartner predictions, adding enterprise-scale energy optimization and production planning, and describes AI as an operating-model transformation rather than an IT initiative. For a manufacturing technology company targeting operations and IT leaders in heavy industry, Mehra offers a sharper operational frame.

---
AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/