--- title: "Automate 2026: Why the Industry Is Betting on Open, Software-Defined Automation" slug: automate-2026-open-software-defined-automation category: tech category_label: "Tech" author: "BrainWavePost Staff" date: 2026-06-23 tags: ["industrial automation", "software-defined automation", "AI", "manufacturing", "supply chain", "digital twin", "Industry 4.0"] read_time_minutes: 8 canonical_url: https://brainwavepost.com/article/automate-2026-open-software-defined-automation source: BrainWavePost --- # Automate 2026: Why the Industry Is Betting on Open, Software-Defined Automation *Tech · 2026-06-23 · BrainWavePost Staff · 8 min read* > The Automate 2026 trade show revealed a decisive industry shift toward open, software-defined automation platforms — moving away from proprietary hardware lock-in toward AI-driven, interoperable manufacturing systems. > **How this article is sourced** _(info)_ > > All claims are drawn from primary sources: the World Economic Forum report on software-defined automation (February 2026), Schneider Electric's official press release via PR Newswire at Automate 2026 (June 2026), UniversalAutomation.org's documentation on IEC 61499-based open automation, Siemens' Software-Defined Systems portal, CESMII's i3X 1.0 interoperability specification release, McKinsey & Company research on AI in manufacturing and supply chains, IoT Analytics coverage of Hannover Messe 2026 industrial technology trends, and the 2026 IOPscience Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing. [1][2][3][4][5][6][7][8] The Automate 2026 trade show in Chicago — North America's largest robotics and automation event — concluded this week with a clear signal: the manufacturing industry is abandoning decades of proprietary, hardware-locked automation in favour of open, software-defined platforms that can integrate artificial intelligence across diverse equipment. [2][3] The shift, described by exhibitors and analysts alike as a generational transition, promises to reshape how factories operate, how supply chains adapt, and how quickly manufacturers can deploy AI-driven intelligence on the production floor. [1][6] ## The end of vendor lock-in For decades, industrial automation has been defined by closed ecosystems. Programmable logic controllers (PLCs) from one vendor could rarely communicate seamlessly with hardware from another, trapping manufacturers in expensive upgrade cycles and limiting their ability to adopt new technologies. [3][5] UniversalAutomation.org — a non-profit association backed by major industrial players — has been championing an alternative based on the IEC 61499 standard, which separates automation applications from the hardware they run on, enabling truly portable 'plug and produce' solutions. [3] At Hannover Messe 2026, held earlier in the year, UniversalAutomation.org presented recorded leadership sessions demonstrating that open software-defined automation is no longer a future concept but a present-day reality. [3] The organisation's shared runtime execution engine allows software written for one controller to run on another, breaking the proprietary barriers that have long constrained innovation. [3] ## Schneider Electric and the convergence of energy, AI, and automation Schneider Electric used its Automate 2026 keynote to highlight what it calls the convergence of energy technologies, open software-defined automation, industrial AI, and electrification. [2] The company demonstrated how software-defined control platforms can orchestrate not just robotic arms and conveyor systems, but also energy flows, predictive maintenance algorithms, and real-time supply chain adjustments from a single, open software layer. [2] This convergence matters because manufacturing accounts for roughly one-fifth of global energy consumption. [2] By unifying automation and energy management under software-defined control, Schneider argues, manufacturers can optimise both productivity and sustainability simultaneously — a dual imperative that has become increasingly urgent as energy costs rise and emissions regulations tighten. [2] ## Siemens and the software-defined factory Siemens, another major presence at Automate 2026, has positioned software-defined systems as the foundation of what it calls the 'software-defined factory.' [4] The approach turns complexity into data-driven action along the entire value chain, allowing production lines to adapt in real time to changes in demand, material availability, or quality feedback. [4] Rather than re-engineering physical layouts when product designs change, manufacturers can reconfigure the software layer — reducing retooling time from weeks to hours. [4] ## AI on the factory floor: from prediction to action The integration of AI into manufacturing was not merely a theme at Automate 2026 — it was the dominant narrative. [6][7] IoT Analytics, which tracks industrial technology markets, identified agentic AI, physical AI, and domain-specific industrial AI models among the top twelve trends emerging from Hannover Messe 2026. [7] These are not generic large language models repurposed for factories; they are systems trained on industrial sensor data, designed to make autonomous decisions about machine calibration, quality control, and logistics routing. [7] McKinsey & Company has documented how leading manufacturers — what it calls 'Lighthouses' — are already capturing the full value of AI throughout the factory, production network, and supply chain. [6] In a 2026 analysis, McKinsey found that generative AI is reshaping supply chains by boosting efficiency, decision-making, and performance — but only for companies that have invested in the underlying data infrastructure and talent. [6] The firms seeing returns are those that treat AI not as a plug-in tool but as a fundamental rewiring of how work gets done. [6] ## The interoperability imperative A major enabler of the open-automation shift is the emergence of standardised interoperability specifications. [5] CESMII — the Clean Energy Smart Manufacturing Innovation Institute, a U.S. Department of Energy-backed organisation — released i3X 1.0 in 2026, a complete, implementation-ready open API specification for manufacturing interoperability. [5] The specification addresses a critical gap: most shop-floor data architectures were never designed for AI, and fragmented systems prevent the free flow of information that machine learning models require. [5] The 2026 IOPscience Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing, authored by an international consortium of academic and industry researchers, identifies interoperability as one of the foundational challenges that must be solved before AI can scale across manufacturing networks. [8] The roadmap calls for standardised data formats, shared semantics, and open APIs as prerequisites for the next wave of industrial AI. [8] > Manufacturing is being asked to run AI strategies on data foundations that were never designed for it. Most shop floor architectures are a patchwork of proprietary protocols that block the very integration AI requires. > > — CESMII, on the release of i3X 1.0 (2026) [5] ## Supply chain resilience through software-defined adaptability The COVID-19 pandemic and subsequent geopolitical disruptions exposed the fragility of rigid, single-source supply chains. [6] McKinsey's 2026 analysis of manufacturing footprints found that companies with the most flexible, software-defined operations were best positioned to reroute production, switch suppliers, and adjust capacity in response to shocks. [6] Open automation platforms are now being framed as strategic infrastructure for resilience — not merely efficiency. [1][6] The World Economic Forum, in a February 2026 report, described software-defined automation as 'fast becoming the foundation for the next era of industrial automation.' [1] The report argues that as manufacturing enters the AI age, the ability to reconfigure production systems through software rather than hardware rewiring will determine which companies can scale innovation and which fall behind. [1] - **IEC 61499** — The open international standard enabling portable automation software across vendors [3] - **i3X 1.0** — CESMII's open API specification for manufacturing interoperability, released 2026 [5] - **June 22-25** — Dates of Automate 2026 in Chicago, North America's largest automation event [2] ## What comes next The transition from proprietary to open, software-defined automation will not happen overnight. [3][8] Legacy equipment represents trillions of dollars in installed base, and many manufacturers are wary of disruption to operations that cannot afford downtime. [3] But the direction is clear: the industry's largest vendors — Schneider, Siemens, and a growing ecosystem of partners — are now building their future platforms on open standards rather than closed protocols. [2][3][4] For manufacturers evaluating their automation strategy, the immediate takeaway is to prioritise interoperability in any new investment. [1][5] Equipment that speaks open protocols, exposes data through standard APIs, and allows software portability will retain value longer and integrate more easily with the AI tools that are rapidly becoming essential. [1][8] The era of software-defined manufacturing has arrived. The only question is how quickly individual companies can adapt. [1][6] > **Key takeaway for manufacturers** _(tip)_ > > When evaluating automation vendors in 2026, ask three questions: (1) Does the platform support open standards like IEC 61499 and open APIs like i3X? (2) Can AI models access real-time operational data without proprietary middleware? (3) Can automation applications run on hardware from multiple vendors without rewriting? [3][4][5] Vendors answering yes to all three are aligned with the open-automation transition. [1] ## Sources (clickable) - [1] World Economic Forum — 'How software defined-automation is shaping manufacturing for the AI age' by Stefan Reuther (February 2026): https://www.weforum.org/stories/2026/02/software-defined-automation-the-force-awakens/ - [2] Schneider Electric — official press release via PR Newswire, 'Schneider Electric Advances Open, Software-Defined Automation at Automate 2026' (22 June 2026): https://www.prnewswire.com/news-releases/schneider-electric-advances-open-software-defined-automation-at-automate-2026-302806392.html - [3] UniversalAutomation.org — official website and documentation on IEC 61499-based open automation, shared runtime execution engine, and Hannover Messe 2026 leadership sessions: https://universalautomation.org/ and https://universalautomation.org/open-software-defined-automation-is-no-longer-a-future-concept-its-happening-now/ - [4] Siemens — 'Software-Defined Systems (SDS)' official portal: https://www.siemens.com/en-us/content/software-defined-systems/ - [5] CESMII — 'CESMII Releases i3X 1.0: A Complete, Implementation-Ready Open API Specification for Manufacturing Interoperability' (2026): https://www.cesmii.org/cesmii-releases-i3x-1-0/ - [6] McKinsey & Company — 'Beyond automation: How gen AI is reshaping supply chains' (April 2025) and 'How manufacturing's Lighthouses are capturing the full value of AI' (April 2024): https://www.mckinsey.com/capabilities/operations/our-insights/beyond-automation-how-gen-ai-is-reshaping-supply-chains and https://www.mckinsey.com/capabilities/operations/our-insights/how-manufacturings-lighthouses-are-capturing-the-full-value-of-ai - [7] IoT Analytics — 'Top 12 industrial technology trends—as seen at Hannover Messe 2026' by Anand Taparia (22 June 2026): https://iot-analytics.com/top-industrial-technology-trends/ - [8] IOPscience — '2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing' by Jay Lee et al. (accepted manuscript, 31 March 2026): https://iopscience.iop.org/article/10.1088/3049-4761/ae5967 --- _Canonical article: [https://brainwavepost.com/article/automate-2026-open-software-defined-automation](https://brainwavepost.com/article/automate-2026-open-software-defined-automation) — © BrainWavePost. Educational content; see the article page for full disclaimers._