AI Is About to Change Everything… But Not the Way You Think

Register NOW for the UHY 2026 Annual Automotive Supplier Outlook - click hereAI dominates every conversation in the automotive industry, but very few companies know how to make it truly useful. That focus on real value is what led MIT research scientist Dr. Bryan Reimer to write How to Make AI Useful.The idea began casually over dinner in Lisbon, when someone asked him what he really thought about AI. Bryan didn’t dive into predictions about machines taking over. He focused on something more practical: how AI only matters when it’s built with people in mind.He breaks AI down into three realities: the excitement of what it could do, the fear that follows when we realize what it might do, and the long, steady work required to make it truly valuable. AI can automate the basics and even create new content, but its real strength is amplifying human skill, not replacing it. The goal isn’t an autopilot workforce. It’s a copilot.That means the fear that AI will take jobs is misplaced. AI changes work; it doesn’t erase it. Just as assisted driving has changed how we drive, rather than removing the driver, AI will shift roles and demand new skills. Bryan points out that layoffs blamed on AI are often just business decisions wearing a convenient mask. The real question is how companies use AI to make work better rather than cheaper.To do that, leaders in automotive need to unlearn old habits. Years of rigid processes, slow decision-making, and fear of change make it hard for AI to deliver value.He argues that useful AI requires trust and transparency. It’s hard for any organization to move forward when fear, hidden approvals, and layers of bureaucracy control decisions. If employees can’t be trusted to make decisions, AI won’t save them. The real challenge is cultural, not technical.Bryan expands the conversation globally. Japan is embracing robotics as companions, while Europe is focusing heavily on privacy. Culture shapes how AI grows, and automotive companies need to pay attention to what consumers value, not just what tech can do.He connects this to China as well. China’s speed is not about dumping features into cars. It’s about building products people can afford and use. If Western brands only chase faster or cheaper without real value, they will lose.AI becomes useful when companies start small, test real-world problems, and continually improve the tool until it actually helps people do their work. That progress may cost more in the beginning, but better safety features, more accurate data, and enhanced customer experiences rarely come from shortcuts. The goal is not to replace people. It’s to build technology that helps them perform at a higher level.Watch the Full Video on YouTube - click hereThis episode is sponsored by Lockton, click here to learn more Themes discussed in this episode:How AI becomes useful only when it is designed to support human judgment instead of replacing workersWhy the “Wow, Whoa, and Grow” framework helps companies move beyond AI hype and build tools that solve real problemsHow assisted driving proves that advanced technology still depends on human responsibility and oversight to deliver safe, reliable resultsThe importance of unlearning outdated processes before applying AI to existing workflows in automotiveWhy a lack of trust inside automotive organizations slows down AI adoption more than the technology itselfLessons from China’s speed in product development and why Western automakers should prioritize value and accessibility over rushed...