Mission Architect John Sweetser of Colorado says AI can accelerate engineering work, but experienced professionals remain responsible for asking the right questions and making the final decisions.
BOULDER, CO / ACCESS Newswire / July 17, 2026 / As artificial intelligence becomes part of engineering workflows across industries, Mission Architect John Sweetser believes the conversation should focus on more than speed and automation. While AI can help engineers analyze information, explore design options, and reduce repetitive work, he says it cannot replace the judgment required to make high-consequence engineering decisions.
According to McKinsey's 2025 State of AI survey, 88 percent of organizations now use AI in at least one business function. Yet, most are still working to scale its use effectively across their operations.
Sweetser, whose career has included engineering roles in national security, spacecraft design, and aerospace leadership, believes that trend presents both an opportunity and a responsibility.
"AI can process an incredible amount of information, but it doesn't understand the mission behind the decision," said Sweetser. "Engineering has always been about balancing performance, safety, cost, schedule, and risk. Those tradeoffs still require people who understand the bigger picture."
Rather than viewing AI as a replacement for engineers, Sweetser sees it as another tool that can strengthen decision-making when used appropriately.
"I'm more interested in how AI helps engineers ask better questions than how quickly it generates answers," he said. "If it helps identify a risk we might have overlooked or gives us another way to evaluate a design, that's incredibly valuable. But engineers are still accountable for the outcome."
Sweetser believes one of the biggest misconceptions surrounding AI is that faster automatically means better. In aerospace and other complex industries, he says, thoughtful decision-making remains far more important than rapid output.
"The best engineering often looks uneventful because the toughest problems were identified and solved long before anyone outside the team ever saw them," he said. "AI can help us find those problems earlier, but it can't replace the experience, collaboration, and judgment that go into solving them."
As more organizations incorporate AI into engineering and product development, Sweetser encourages professionals to develop the skills that technology cannot easily replicate. Communication, systems thinking, and the ability to connect information across disciplines will remain essential regardless of how advanced AI becomes.
"Technology will continue to change," he said. "The ability to work with other people, understand complex systems, and make sound decisions under uncertainty will always matter."
Sweetser also encourages engineers to stay curious and continue learning as AI evolves.
"The goal shouldn't be to compete with AI," he said. "It should be to understand how to use it responsibly so we can build better systems and make better decisions."
Individuals interested in preparing for an AI-assisted future can start by learning how these tools work, questioning their outputs rather than accepting them at face value, and continuing to build the critical-thinking and communication skills that remain at the heart of engineering.
About John Sweetser
John Sweetser is a Mission Architect with a background in mechanical engineering, national security, spacecraft design, and aerospace leadership. Throughout his career, he has focused on systems engineering, mission planning, and helping multidisciplinary teams solve complex technical challenges. Outside of work, he volunteers in STEM education, serves with a volunteer fire department, and supports sustainability initiatives.
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SOURCE: John Sweetser
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