2026 is one more year of digital transformations. Automation became essential part of most technological processes today. That is why engineering is focused on this approach while implementing automation-based algorithms to clients’ existing infrastructures or improving the tech baseline of startups with automation-driven functions.
Fixykor decided to review the main trends in the context of automation engineering in 2026. We will highlight all the insights in short first to dive into each approach and its details in our next blog posts.
4 Automation Engineering Trends to Take into Account in 2026
Today’s automation engineering is defined by agentic AI orchestration, Software-Defined Automation (SDA), and Physical AI. Engineering teams are moving beyond standalone bots to build connected, self-governing workflows that solve business challenges end-to-end. Let’s list all these approaches to review the main trends and optimize your strategies efficiently:Agentic
#1 AI and Orchestration
- Agentic Workflows: AI has evolved from reactive chatbots into autonomous agents capable of making decisions, planning tasks, and executing multi-step workflows.
- Orchestration is Key – because decisions made in isolation can disrupt complex operations, enterprises are prioritizing agent orchestration. This connective tissue coordinates different agents across your IT and operational systems.
- Governance: With the explosion of generative AI, companies are heavily focused on “agent readiness” and strict security controls to manage risks.
#2 Software-Defined Automation (SDA)
- Virtual PLCs: Automation engineers are moving away from rigid, hardware-heavy control systems. Virtual and containerized Programmable Logic Controllers (PLCs) allow software and hardware to be decoupled, making it easier to scale updates and upgrades.
- Digital Twins: Simulation-based engineering and the Industrial Metaverse are mainstream, allowing engineers to test, tweak, and optimize production lines in 3D virtual environments before touching physical equipment.
#3 Physical AI and Robotics
- General-Purpose Humanoids: Physical AI and adaptable robotic systems are addressing severe labor shortages across manufacturing, logistics, and non-traditional sectors.
- Intralogistics: Autonomous Mobile Robots (AMRs) and advanced cobots (collaborative robots) work safely alongside humans, adapting to changing tasks without requiring hardcoded instructions.
#4 Sustainability and OT Cybersecurity
- Data-Driven Sustainability: Automation platforms now feature built-in, real-time monitoring of energy use, emissions, and material waste. AI optimizes machine cycles and prevents defects to support corporate green initiatives.
- Security by Design: With operational technology (OT) and the Industrial Internet of Things (IIoT) becoming more connected, cybersecurity is directly embedded at the firmware and control levels.
Final Word
To sum up, there are four automation engineering trends to follow and use for your strategy optimizations. Our next blog posts will be devoted to all these approaches in detail. Stay tuned! Fixykor will share more and more insights. Moreover, we can become your trusted IT service provider – just contact our managers!