When people talk about the future of industrial automation, the conversation often centers on artificial intelligence. But in a recent episode of The Tech Ed Podcast, Nikki Gonzales, Director of Business Development at Weintek USA, made a different case.
The next phase of manufacturing will not be defined by AI alone. It will be defined by how well people understand systems, processes, and the interfaces that connect them.
At the center of that conversation is HMI software.
Why HMI Software is Central to Industrial Automation and Data Connectivity
An HMI, or human-machine interface, has traditionally been seen as a control screen. Today, it plays a much larger role.
As discussed in the podcast, the HMI has become a natural aggregation point for machine data. It connects to PLCs, communicates with other equipment, and serves as a bridge between the machine and broader plant systems.
This makes it a key layer for:
- Collecting and contextualizing data
- Communicating with SCADA, MES, and ERP systems
- Enabling connectivity through protocols like OPC UA
- Acting as an entry point for AI integration
Instead of being a passive interface, modern HMI software is becoming an active communication layer across the entire operation.
HMI Software and AI in Industrial Automation: Practical Applications Today
AI is already making its way into industrial environments, but not in the way many people expect. Rather than replacing engineers or operators, AI is being used to assist with tasks and reduce complexity. In the case of HMI development, this includes scripting assistance, debugging support, and faster onboarding for new users.
Weintek, for example, is developing AI-assisted tools within its software to help users navigate complex projects more efficiently.
There is also growing interest in how HMIs can serve as a connection point between machines and AI systems. Traditional API-based communication is evolving, and newer frameworks like model context protocol (MCP) are opening the door for more flexible interaction between systems.
The opportunity is not just automation. It is better context, better data flow, and better decision-making.
Industrial Automation Trends: Open Standards, Connectivity, and Flexibility
One of the strongest themes from the conversation was the importance of open systems. Manufacturing environments are rarely uniform. Most facilities operate with a mix of legacy equipment and modern technology. That makes flexibility critical.
HMI platforms that support a wide range of communication drivers and protocols allow manufacturers to:
- Connect older equipment without full system replacement
- Integrate with modern IIoT and analytics platforms
- Build scalable systems that evolve over time
As Nikki pointed out, the ability to translate between different systems is becoming a competitive advantage.
HMI Software for OEMs: Lowering Barriers While Raising Expectations
AI and modern software tools are lowering the barrier to entry in industrial automation. More people can build, program, and interact with systems than ever before. At the same time, expectations are increasing.
There is a growing need for professionals who understand not just how to operate a machine, but how an entire process works. This includes inputs, outputs, and how systems create value across a production line.
For OEMs, this shift has real implications. Machines must be designed to:
- Guide operators through processes
- Reduce reliance on specialized knowledge
- Provide clear, actionable data
- Support remote monitoring and oversight
HMI software plays a direct role in all of these areas.
The Future of Industrial Automation Skills: Process Knowledge Still Matters
A key takeaway from the episode is that foundational knowledge is not going away.
Even as AI becomes more capable, understanding physics, controls, and process design remains essential. Relying on automation without understanding underlying systems introduces risk, especially in environments where safety and quality are critical.
At the same time, the nature of work is shifting. Instead of specializing in one piece of equipment, more roles will require a broader view of operations.
That means:
- Strong process understanding
- Systems-level thinking
- The ability to work across technologies
- Continuous learning
Manufacturing is moving toward a model where people oversee more systems, not fewer.
Building the Future Workforce in Industrial Automation
Beyond technology, the conversation also highlighted the importance of community and mentorship. Through initiatives like Automation Ladies and OT SCADA CON, Nikki is helping create pathways into the industry and connecting professionals across disciplines.
The message is simple. Careers in industrial automation are built through a combination of technical skill, curiosity, and relationships. As systems become more connected and complex, collaboration becomes just as important as capability.
HMI Software as the Foundation for Smarter Manufacturing
The future of industrial automation will not be defined by a single technology. It will be shaped by how well systems work together and how effectively people can interact with them.
HMI software sits at the center of that transformation. It connects machines, data, and people in a way that enables better decisions, more efficient operations, and more adaptable manufacturing systems.
For OEMs and manufacturers, that makes it more than just an interface. It is a strategic layer in modern automation.
Key Takeaways:
- Supporting multiple protocols is essential for meeting strict application needs.
- The protocol chosen should always reflect the structure, processing speed, and feature requirements of the application.