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.
16.2K followersIndustrial AIBased on 14 posts · latest Sep 2026
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.
Check first: Ask for technical implementation examples, measured results, and whether collaboration must go through Körber.
Main ideas
Industrial AI earns its keep through industrial expertise, not another technology layer · The smart factory 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
Arungalai Anbarasu shares work-focused perspectives on manufacturing technology, including industrial AI, smart factories, and Industry 5.0.
Their central idea is that factories improve through practical steps: connect people, data, automation, software, and AI; solve operational problems; and build resilience before pursuing full autonomy.
The posts also emphasize industrial expertise and collaboration, including a K6rber and Schneider Electric Industrial Automation partnership.
Follow them for a manufacturing-industry view of how technology can move from ambition to execution.
If detailed technical demonstrations matter to your decision, ask for examples.
Anbarasu connects broad technology themes to manufacturing priorities.
In a post about industrial AI, the focus is not adding another technology layer but using deep industrial expertise to improve efficiency, productivity, resilience, and decision-making.
On smart factories, they challenge the idea that progress requires a fully autonomous, “lights-out” end state: connected operations and measurable returns can matter well before then.
Other posts extend this practical perspective to Industry 5.0 and ecosystem collaboration.
For decisions that depend on proof of execution, ask for technical implementation examples or measured results.
Across four LinkedIn posts, Arungalai Anbarasu argues that manufacturing technology pays off when applied to concrete industrial problems.
Read more
The posts reject technology-layer thinking and full-autonomy hype in favor of incremental capability-building with measurable returns. They also make the case for connecting hardware, software, data, and AI on one foundation, partnering rather than relying on isolated technology, and moving Europe faster from ambition to execution.
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.
Read more
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 post names the other panel participants — Stephan Scheuer, Maria Mikhaylenko, Felix Henseler, and Jacomo Corbo — but does not report what they said. Arungalai Anbarasu argues for combining AI with domain expertise and calls for tangible goals, ecosystem building, and faster progress from ambition to execution, closing with the statement that this is a choice made at Körber.
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.
Read more
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.
The post advises against chasing the end state and instead urges a focus on the next stage of maturity.
Each step toward better connectivity, smarter automation, and stronger operational resilience, it says, delivers returns well before full autonomy.
It promotes an article Arungalai Anbarasu wrote for the Forbes Technology Council; buyers should consult the article for its full argument.
This is the account’s clearest counter to automation hype: while it advertises “automated, intelligent, regenerative” manufacturing, it also warns customers not to treat full autonomy as the goal.
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.
Read more
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.
The post points to Körber’s stated commitment to AIR Technologies as a decisive step toward innovation-driven manufacturing that helps customers build smarter operations and long-term resilience.
Its summary — “Automated.
Intelligent.
Regenerative.” — captures the three-principle frame.
Ecosystems, not isolated technology, deliver industrial impact
Arungalai Anbarasu argues that technology reshapes industries, but ecosystems deliver impact.
Read more
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.
The post describes Körber and Schneider Electric Industrial Automation combining complementary strengths to accelerate intelligent, future-ready manufacturing and deliver automated, intelligent, regenerative solutions for smart factories. Gwenaelle Huet is named, but her views are not reported; the argument is Arungalai Anbarasu’s framing of the partnership.
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.
Read more
The post calls for thinking globally while staying grounded in local realities, and links resilience with innovation.
The post says Europe’s goal should not be to compete with the US or China, but to shape its own future with clarity, confidence, and action amid geopolitical, environmental, and technological disruption.
One post presents cross-company collaboration as a source of shared impact; this one emphasizes regional capability-building under pressure and explicitly downplays competition. Together, they favor building capability over rivalry.
Shows how Anbarasu defines industrial AI’s purpose and makes the case for domain expertise and execution.
Read more
Start here for a direct statement of their position and event or speaking context.
Anbarasu describes joining a panel on Industrial AI with Stephan Scheuer, Maria Mikhaylenko, Felix Henseler and Jacomo Corbo.
The post argues that industrial AI creates value not by adding another technology layer but by applying AI to real industrial problems: efficiency, productivity, resilience and better decisions.
That value depends on pairing AI with deep industrial domain expertise.
Europe, the post says, needs to move from ambition to execution through tangible goals and ecosystems.
Anbarasu notes that Körber has made that choice.
For brands planning a campaign
Useful for a manufacturing technology company building industrial AI thought leadership: a speaking or written collaboration can focus on execution over technology layers, domain expertise and European industrial resilience.
Shows how Anbarasu frames smart factory progress and near-term value.
Read more
Start here for a practical counter to autonomy hype and a link to longer written work.
The post describes the smart factory as continuous transformation, not a destination.
It rejects the idea that the main shift is toward “lights-out” manufacturing, pointing instead to connected, intelligent and resilient operations where people, data, AI and automation work together.
Anbarasu says factories will be built one strategic decision at a time, with ROI taking priority over full autonomy.
The post references a Forbes Technology Council article.
For brands planning a campaign
A campaign can build on pragmatic maturity stages and ROI-first automation, helping manufacturers avoid overpromising full autonomy.
Shows the manufacturing vision and company commitment Anbarasu communicates.
Read more
Open it for the Industry 5.0 frame and integrated technology position.
Anbarasu presents Körber’s view that Industry 5.0 is reshaping smart factories and process solutions around resilience, human centricity and sustainability.
The post argues that the next leap comes from connecting hardware, software, digital and AI into one foundation, because competitive advantage lies in the ability to adapt and evolve continuously.
It describes a commitment to AIR Technologies as a step toward innovation-driven manufacturing.
For brands planning a campaign
Suitable for a partner campaign around Industry 5.0, human-centric automation and integrated hardware, software and AI messaging; the AIR Technologies mention provides a concrete anchor.
Shows how Anbarasu discusses partnerships and ecosystem collaboration.
Read more
Start here for the relationship and co-innovation angle rather than a single-company product message.
The post says technology reshapes industries, while ecosystems deliver impact.
It describes a collaboration with Schneider Electric Industrial Automation and Körber to combine complementary strengths and accelerate intelligent, future-ready manufacturing.
Anbarasu argues that automation, software and AI are converging to redefine how industries scale, and that collaboration unlocks their potential.
The post names Gwenaelle Huet and points to automated, intelligent, regenerative solutions for smart factories.
For brands planning a campaign
Useful for co-created partner content about ecosystem collaboration, automation, software and AI convergence, and measurable smart factory outcomes.
Industrial AI must address real industrial challenges
In a conference recap, Arungalai Anbarasu argues that Industrial AI creates value by improving efficiency, productivity, resilience, and decision-making—not by adding another technology layer.
Read more
They stress that AI unlocks value only when paired with deep industrial domain expertise. They also say Europe needs to turn ambition into execution with tangible goals.
Panel participation and event recap.
For brands planning a campaign
A manufacturing technology company can position Arungalai Anbarasu as a speaker or writer bridging AI hype and practical industrial applications, with an emphasis on domain expertise and measurable outcomes.
The smart factory is a continuous journey, not a destination
Arungalai Anbarasu describes the smart factory as a journey of continuous transformation, not a push toward 'lights-out' manufacturing.
Read more
They advocate connected, intelligent, resilient operations where people, data, AI, and automation work together to create measurable value, with ROI preceding full autonomy. They promote a Forbes Technology Council article on the topic.
Thought leadership article promotion on LinkedIn.
For brands planning a campaign
For a campaign on industrial AI thought leadership, this perspective supports content focused on incremental maturity and practical ROI over futuristic automation narratives.
Industry 5.0: resilience, human centricity, and sustainability
In a Körber-branded post, Arungalai Anbarasu describes how Industry 5.0 reshapes smart factories around resilience, human centricity, and sustainability.
Read more
They advocate bringing hardware, software, digital, and AI together on one foundation, and frame transformation as beginning with a decision. The post takes a declarative, manifesto-like approach.
For brands planning a campaign
A brand can assess this creator for messaging that aligns automation and AI with human-centric and sustainable manufacturing, suited to corporate thought leadership or brand awareness campaigns.
Arungalai Anbarasu argues that while technology reshapes industries, ecosystems deliver impact.
Read more
They point to Körber's collaboration with Schneider Electric Industrial Automation as a way to combine complementary strengths and accelerate intelligent, future-ready manufacturing, producing automated, intelligent, regenerative solutions for smart factories.
For brands planning a campaign
This creator can speak to the value of partnerships and ecosystems in industrial technology, making them a fit for collaborative campaigns or co-marketing with technology partners.
Europe's industrial future: from ambition to execution
In a conference recap, Arungalai Anbarasu argues that Europe must move faster from discussion to execution on technological sovereignty and innovation.
Read more
They call for tangible goals, ecosystem building, and pushing boundaries while thinking globally and staying grounded in local realities. They present resilience and innovation as mutually reinforcing.
For brands planning a campaign
For a European manufacturing technology company, this creator's perspective on regional competitiveness and execution can anchor thought leadership on industrial policy and innovation.
Their posts identify Körber as their employer and the platform for their industrial AI and smart factory work.
Read more
They also describe collaboration with Schneider Electric Industrial Automation, a Forbes Technology Council article, and a panel appearance at TECH by Handelsblatt. Ask for details if sponsorship, affiliate, investment, client, or owned-business relationships affect a campaign decision.
Körber
Employment
Presents Körber as their platform for industrial technology work, including industrial AI and smart factories, saying “we at Körber” and “our commitment.”
Arungalai Anbarasu posts on LinkedIn about industrial AI and the smart factory, usually speaking for a manufacturing technology company rather than reviewing it from outside.
Read more
The through-line is that AI and automation pay off only when paired with deep industrial domain knowledge, and that value arrives through incremental maturity — better connectivity, smarter automation, and stronger resilience — long before any fully autonomous factory.
Start with the conference recap arguing that Industrial AI applies technology to real industrial problems, then read the post describing the smart factory as a journey with near-term returns rather than a lights-out destination; it points to a longer Forbes Technology Council article.
The Industry 5.0 post sets out the recurring frame: resilience, human centricity, and sustainability, built on hardware, software, data, and AI connected into one foundation.
Read alongside it the Körber–Schneider Electric collaboration post, which makes the ecosystem case explicitly.
For a broader view, the three creators below cover adjacent ground, treating AI implementation as an execution and operating-model problem and pairing industrial technology with workforce capability.
Both treat industrial AI as an execution problem rather than a technology purchase, arguing in LinkedIn posts that the money goes to organisations that pair new technology with workforce capability.
Read more
Le Manh's post on the roughly $2 trillion US manufacturing build-out makes the same point as Anbarasu's smart factory post: capital and policy intent are present, but energy, skills, and deliverable projects remain binding constraints. Le Manh also ties sustainability directly to industrial competitiveness, as Anbarasu does in the Industry 5.0 framing.
Le Manh writes from the project-management profession's point of view, focused on accountability, complex-programme delivery, and sustainability-focused certification.
Arungalai Anbarasu writes from inside a manufacturing technology company, emphasizing the smart factory maturity path and vendors connecting hardware, software, data, and AI.
Their regional focus also differs: Le Manh's conference recap surveys AI strengths across Asia-Pacific, while Anbarasu's calls on Europe to move from ambition to execution.
Both write LinkedIn commentary connecting industrial technology to resilience, regional capability, and the physical infrastructure behind AI.
Read more
Koerte's account of the sovereignty conversation with Jake Sullivan concludes that digital and energy sovereignty have become one conversation, closely echoing Anbarasu's argument that technology reshapes industries but ecosystems and integrated foundations deliver the impact. Both write from an identifiable industrial employer's vantage point and mix conference exchanges with shop-floor stories.
Koerte's focus is energy and digital sovereignty and the large capital commitments behind them, illustrated by new US plants making electrical equipment for AI data centres.
Anbarasu stays closer to the factory floor, arguing about how far automation and AI should go and why ROI precedes full autonomy.
Koerte also brings a warmer, human-scale thread to the account, such as the apprentices' miniature factory in Amberg.
Both argue that AI value sits in the operating model, not the model itself, and name similar industrial use cases — predictive maintenance, yield optimisation, energy efficiency, and supply chain intelligence — as places where that value becomes tangible.
Read more
Mehra's caution that many manufacturers are experimenting with AI while very few capture measurable impact echoes Anbarasu's distinction between technology layers and applied industrial results.
Mehra writes as an enterprise technology leader, putting the CIO's evolving role and leadership alignment at the centre of the argument and treating CEO backing as the decisive variable. Arungalai Anbarasu writes as an industry spokesperson for a manufacturing technology company, framing the discussion around the smart factory maturity journey and cross-company partnership rather than internal IT and operating-model redesign.
Choose this for a LinkedIn-first industrial technology conversation, not as proven access to manufacturing buyers.
Read more
The only measured audience figure is a LinkedIn following of about 16,200, observed in October 2026.
Four posts reviewed from April to July 2026 show topical appeal around industrial AI, smart factories, manufacturing transformation, and Körber, but don’t establish who saw or engaged with them.
If the brief requires manufacturing decision-makers, engineers, or operations leaders, ask for recent results from comparable posts or campaigns, including reach, impressions, engagement rate, and any audience survey documenting job titles, employers, or seniority.
Arungalai Anbarasu writes about industrial AI and smart factories in a corporate communications role at Körber.
Read more
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.
Good fit: industrial AI thought leadership for a manufacturing technology company. Arungalai Anbarasu’s posts connect AI and automation to practical manufacturing goals: efficiency, productivity, resilience, better decisions, and measurable value. The strongest campaign angle is progress through practical steps, not promises of fully autonomous factories. A panel, executive article, or LinkedIn discussion could build on the argument that industrial AI needs deep domain expertise and should solve real operational challenges. The posts show relevant subject matter and a panel appearance. Before committing, ask for results from comparable work, evidence of access to manufacturing decision-makers, and confirmation of whether the collaboration must be arranged through Körber.
When to choose a specialist
Read more
Poor fit: a consumer-facing product launch that depends on independent creator sponsorships and proven buyer reach. The available work is corporate and industrial in focus, not evidence of a consumer audience or consumer-product storytelling. The only audience measure mentioned is about 16,190 LinkedIn followers, observed in October 2026; the posts do not say who follows, sees, or engages with them. For a campaign that needs direct consumer conversion, verified demographic targeting, or a ready-to-book creator placement, choose a partner with demonstrated audience data and established commercial terms.
A worked campaign example
Campaign need: A manufacturing technology company wants to explain how industrial AI can improve operations without promising a lights-out factory. Recommendation: Consider Anbarasu for a moderated discussion or co-authored LinkedIn article, subject to Körber’s approval and confirmation of the commercial route. Angle: “Industrial AI earns its place one operational problem at a time.” Open with a concrete efficiency, productivity, resilience, or decision-making challenge; explain why domain expertise matters when applying AI; then show how a manufacturer could assess the next maturity step before pursuing greater automation. Anbarasu’s panel recap says AI value comes from addressing industrial challenges with domain expertise, and the smart-factory post argues for incremental transformation and ROI before full autonomy. Ask the company to supply a real, approved example and substantiated outcome. Next steps: request comparable-post reach and engagement, documented audience information relevant to manufacturing roles, and confirmation of approval, format, and terms through the appropriate corporate channel. If those checks do not support the campaign, use an independent industrial-AI speaker or publisher with verifiable buyer reach.
Choose Le Manh over Anbarasu when the campaign's priority is delivery and workforce capability, not the technology story.
Read more
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.
The tradeoff is subject depth versus delivery depth.
Le Manh's posts cover capability, certifications, complex-program leadership, and sustainability in delivery, but not close readings of industrial AI systems, factory automation, or manufacturing technology choices.
A campaign with Le Manh would focus on how AI projects get led and staffed, aligning with a professional association's certification and learning agenda rather than a manufacturing vendor's product narrative.
For detailed commentary on industrial AI applications, Anbarasu is the closer match.
Choose Koerte over Anbarasu when the campaign concerns industrial AI's physical constraints—power, grids, and sovereignty—or regional production and supply chains.
Read more
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.
The tradeoff is independence of framing.
Koerte's posts present a large industrial company's strategic narrative—regional manufacturing investment, technology base, and supply chains inside the regions served—so a collaboration would place your message alongside corporate positioning and leave less latitude over the argument.
Anbarasu's posts are also corporate, but focus on explaining industrial AI value and maturity stages, making them a closer fit for a thought-leadership campaign.
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.
Read more
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.
The tradeoff is format and public-facing range.
Mehra's posts make internal-transformation arguments for an enterprise audience, focusing on operating models, leadership alignment, and measurable outcomes, rather than explanatory thought leadership or a public speaking platform.
Anbarasu's posts include a panel appearance and a published article reference, making them a better fit for a speaking or co-authored content engagement.
This profile draws on four LinkedIn posts by Arungalai Anbarasu, published between late April and mid-July 2026, covering industrial AI, the smart factory as a maturity journey, Industry 5.0, and a Körber–Schneider Electric Industrial Automation collaboration.
Employer and relationship details come from the posts themselves rather than outside verification.
Three comparison creators — Pierre Le Manh, Peter Koerte, and Vijay Mehra — were read only to establish how Arungalai Anbarasu's material is similar to and different from adjacent writers.
Not reviewed: the linked Forbes Technology Council article, remarks by the other named panelists, any audience demographics or engagement figures beyond a follower count, and any earlier books, talks, or career history.
Those gaps are noted where they affect a reader's decision; if that material becomes available, the opening sections and this note should be revised.