The future of automation engineering in pharma is poised for significant transformation, driven by technological advancements, AI and real-time decision-making. In the second part of our conversation with Kieran, we explore how these changes are reshaping the industry, what automation engineers need to focus on to stay ahead, and the exciting opportunities on the horizon. Kieran’s insights offer a glimpse into the evolving role of automation engineers and what it takes to thrive in this rapidly advancing field.
How have you seen automation evolve in the pharma biotech industry over the past decade or so?
Things have become far more complex and much more integrated across all parts of the industry. There’s now significantly more information being extracted, and decisions are being made based on that data. We’re also starting to see a growing number of these decisions being made automatically, in real time, based on the information being collected. That’s the direction things are heading. Some of this automation will come from standard systems, but increasingly, AI will play a bigger role as time goes on.
How is this increased automation and real-time decision-making shaping the way businesses operate?
I think it’s going to create more opportunities. In reality, every business process—whether in life sciences or any other sector—is being challenged and rethought. Companies are reimagining how things are done, not just to improve processes but to find the best way to solve the actual problem. At the same time, there’s now an expectation for real-time information and real-time responses. This shift in expectations, along with advances in technology, is completely transforming how things are done—and how they will be done in the future. For professionals in automation, business process optimization, and manufacturing information systems, this presents huge opportunities. There will be a growing expectation on contractors that you don’t just understand the technology, but that you truly understand the problem being solved. In many cases, problem-solving skills will become more important than technical expertise alone.
How do you see AI and machine learning impacting automation in pharma?
Everything is evolving rapidly. There are already clear applications for large language models, particularly when it comes to processing vast amounts of information, and many companies are actively implementing them. But beyond that, the reimagining of so many processes is something that no one has fully wrapped their head around yet. It’s going to be a fascinating space to watch over the next three to five years to see where things go. That said, relationships will still matter—people will always buy from people, so strong relationships will remain essential. Looking ahead, I suspect that the real value will come from understanding the problem itself. While AI will likely play a major role in developing solutions, the real challenge will be in defining and refining the actual problem. Whether it’s a molecule, process optimization, yield improvement in biotech, or something else entirely, truly understanding the problem will be the most critical skill. And by its nature, that expertise will be incredibly rare. The number of people who can master this will be limited, which means being an expert in the problem itself will likely be the key to success for contractors in the future.
What piece of advice would you give to automation engineers?
Stay informed. Don’t get too focused on just your current site or project—make sure you’re keeping up with the latest trends and developments. Whether that’s through the ISA, ISPE, or online resources, continuously challenging your knowledge is essential. Staying aware of industry changes ensures you remain adaptable and ahead of the curve.
The landscape of automation engineering in pharma is evolving at an unprecedented pace, with AI and real-time data driving change across the industry. As Kieran highlights, the key to success in the future will not only be mastering technology but also understanding the problems at the heart of innovation. It’s also about understanding your own communication style anfd others to help you become even more effective. Automation engineers who stay informed, adapt quickly, and blend technical expertise with problem-solving and people skills will be at the forefront of this exciting transformation. The future of automation is bright—and those who embrace change will lead the way.