What's the biggest challenge you foresee in training technicians to work on increasingly complex vehicles? What do you think is the solution?

The biggest challenge in training technicians for increasingly complex vehicles isn't a lack of talent. It's the growing gap between how fast vehicles are evolving and how slowly traditional training systems adapt. Modern vehicles are no longer just mechanical. They're rolling networks of software, sensors, electrical systems, and tightly integrated subsystems. Expecting technicians to keep up using static manuals, infrequent certifications, or tribal knowledge simply doesn't scale. The solution starts with process and systemization. Clear, well-documented SOPs are the foundation. When every diagnostic step, installation process, and quality check is standardized and documented, complexity becomes manageable. Consistency reduces errors, shortens onboarding time, and creates confidence for technicians working on unfamiliar systems. At The Vansmith, we've seen firsthand how critical this structure is when working on modern transit and adventure vehicles that combine electrical, mechanical, and software-driven systems. Training must also evolve beyond classrooms and PDFs. This is where AI becomes a force multiplier. Short, task-specific AI-assisted training videos can show technicians exactly how to perform a procedure, not just describe it. Best-practice libraries can be built from real-world jobs, capturing what actually works and making that knowledge instantly searchable. Most importantly, training needs to happen in real time. When a technician encounters a new system or edge case, they should be able to access guidance at the moment they need it. AI-driven tools can surface relevant SOPs, videos, and past solutions on demand, turning every job into a learning opportunity rather than a slowdown. The future of technician training isn't about longer certifications or more paperwork. It's about building living systems that learn, adapt, and improve alongside the vehicles themselves. When process, documentation, and AI-powered learning work together, complexity stops being a barrier and becomes a competitive advantage. Roberto Gutierrez, CMO and CO-Founder, thevansmith.com

The challenge is around current vehicles; as it becomes layered faster than technicians can realistically be trained. Technicians nowadays no longer work on a single system in isolation. You see, a drivability issue might start in a sensor then travel through software, and show up as a mechanical symptom. That kind of complexity takes time to understand, but most shops are still built around speed. The expectation is to diagnose quickly, fix quickly, and move on, which leaves very little room for learning why something failed in the first place. And over time, it creates technicians who can swap parts but don't feel fully confident in what they're chasing, and that's where frustration and burnout start to creep in. The solution I think is to treat training as part of the job. Technicians need protected time to learn systems the right way, access to real diagnostic tools, and mentorship from experienced technicians who can explain why a system behaves the way it does. Yeah, I think that's the simplest way to tackle it. Give people the space to actually understand what they're working on, and they're far more likely to stick with it as the vehicles keep getting more complex.

The biggest challenge in training technicians for increasingly complex vehicles is the speed at which vehicle technology is evolving, it means training programs cannot keep up. Technicians are no longer just working on mechanical systems but increasingly are required to understand advanced electronics, software diagnostics, telematics, ADAS systems, alternative powertrains, and sometimes even hybrid or electric platforms. Yet many training and apprenticeship programs are still built around the yesteryear of older vehicle architectures. This leads to a skills gap practically as soon as a technician enters the workforce. A further issue is that many modern vehicles now require OEM (Original Equipment Manufacturer) specific software, subscriptions, and diagnostic tools. Most smaller fleets just cannot afford all of these. The solution is constant learning - continuous, modular training - to provide technicians with access to short, targeted training materials that are tied to real vehicle data and systems. Unless ASE training moves at the same pace that vehicles themselves are changing, then the skills gap will keep widening.

The biggest challenge is keeping training current while technicians juggle full workloads and vehicle systems change quickly. I addressed a similar need by turning billable work into learning, building small AI products and using customer feedback and technical hurdles as my curriculum. The solution is to embed hands-on training into daily service tasks, with small projects and feedback loops that convert real work into ongoing education.

From my perspective, the biggest challenge in training technicians for today's vehicles is keeping pace with how quickly the technology is evolving. Modern vehicles are no longer just mechanical systems—they're rolling networks of software, sensors, advanced electronics, and driver-assistance features. The gap I see isn't a lack of talent, but a lack of time and structure to continuously reskill technicians while they're already stretched thin in the shop. What makes this especially difficult is that traditional training models haven't fully caught up. One-off courses or occasional certifications don't work when software updates, new platforms, and electrification changes are happening every year. I've also seen frustration when technicians are expected to diagnose complex issues without consistent access to updated tools, data, or clear diagnostic pathways. The solution, in my view, is a shift toward continuous, modular training. Instead of pulling technicians out of the shop for long sessions, training needs to be embedded into their workflow—short, targeted learning tied directly to the vehicles they're servicing. OEMs and employers also need to invest more in simulation-based diagnostics and digital twins, which allow technicians to practice without the pressure of live repairs. Just as important is changing how we value technicians. Clear career paths, paid training time, and recognition for technical mastery make a real difference in retention and motivation. If we treat learning as an ongoing part of the job rather than an extra burden, we'll build a workforce that can confidently handle the complexity of the vehicles ahead.

I run one of the largest product comparison platforms online, and a big part of our work involves evaluating emerging technologies and the tools technicians rely on across many industries. The biggest challenge I foresee in training technicians for increasingly complex vehicles is the widening gap between traditional mechanical skills and the software-driven systems that now control most components. Vehicles are evolving into rolling computers, and training often lags behind that shift. Many programs still teach fundamentals well but struggle to help technicians build confidence with diagnostics, firmware behavior, and interconnected sensor systems. The solution is to make simulation-based training a core part of the learning process. When technicians can practice diagnosing failures in a controlled digital environment—seeing how software, electronics, and mechanical systems interact—they develop the pattern recognition needed for real-world complexity. It shortens the learning curve and reduces the trial-and-error that usually slows down new techs. Bridging the skills gap requires training that mirrors the actual environment technicians now work in, not the one vehicles used to operate in. Albert Richer, Founder, WhatAreTheBest.com.

One of the biggest challenges is that as technology adds more features, it often makes the basics harder to find. Modern vehicles are packed with advanced systems, software layers, and hidden diagnostics that are not always intuitive, even for experienced technicians. Without proper guidance, valuable time is spent searching for functions or understanding interfaces rather than solving the actual problem. The solution starts with education that is designed around usability, not just capability. Training needs to focus on how systems are organized, how features connect, and where to find critical information quickly. Clear documentation, visual walkthroughs, and hands on learning help technicians build confidence as complexity increases. Ongoing education is just as important as initial training. As vehicles continue to evolve, technicians need continuous access to updated resources that explain changes in a practical way. When learning keeps pace with technology and is delivered thoughtfully, complexity becomes manageable rather than overwhelming.