Autonomous vehicles will change what mechanics repair, test, and document. Experts in the field share practical insights on ADAS calibration, camera diagnostics, digital records, and EV service. The right training and procedures can help shops stay trusted, efficient, and ready for the next generation of vehicles.
- Adopt Modern Tools and Training
- Pivot Quick-Lube Shops Toward EV Care
- Embrace Predictive Data Analysis
- Build Video SOPs for Proven Work
- Record Version States Before Service
- Master ADAS Calibration After Collisions
- Replace Paper Logs With Searchable Records
- Specialize in High-Margin Technology Work
- Certify in Camera Diagnostics
- Secure Contracts Through Reliable Uptime
- Earn Customer Trust Through Reputation
- Bridge Mechanical Expertise With Digital Architecture
- Price Maintenance by Asset Month
- Link Physical Fixes to Automated Decisions
- Use Trend Data to Prevent Failures
- Explain Fault Risk With Evidence
- Standardize Procedures to Limit Liability
- Document Every Job Like Aviation
- State Test Limits With Precision
- Defend Access From OEM Control
- Trace Components to Protect Integrity
- Prove Readiness at Every Handoff
Adopt Modern Tools and Training
For mechanics, the rise of autonomous vehicles will shift the focus from traditional repairs to electronics, software, sensors, diagnostics, and preventive maintenance. Autonomous vehicles depend heavily on cameras, radar, LiDAR, computers, batteries, and electronic control systems, so mechanics will need to understand how these systems work alongside brakes, tyres, steering, suspension, and other mechanical components. Maintenance may also become more data-driven, with vehicles detecting problems and reporting faults before a breakdown happens.
Mechanics can prepare by learning modern diagnostic tools, electric and hybrid vehicle systems, sensor calibration, and basic automotive software. However, strong mechanical skills will remain important because autonomous vehicles still need regular inspections and servicing. Workshops that already focus on advanced diagnostics, diesel engines, electrical systems, and preventive maintenance will be well placed for this transition. Building these skills now, investing in suitable diagnostic equipment, and keeping up with manufacturer training can help mechanics confidently service the next generation of vehicles while continuing to provide reliable support to customers.
Kayla Pearce, Team member – Mechanical, Elite mechanical power
Pivot Quick-Lube Shops Toward EV Care
I’m Sareena William, founder of OilChangeCouponCodes.us. I track verified coupons and real prices across 800+ oil change locations in the US (Valvoline, Jiffy Lube, Firestone), so I watch this industry store by store, from the ground level.
The biggest change is the one nobody in the quick-lube world wants to say out loud: the oil change is the product their entire business model is built on. Every coupon, every pricing tier, every upsell (air filters, wipers, coolant flushes) hangs off that 3,000 to 5,000 mile visit. EVs don’t just remove a service, they remove the visit itself. That’s the real disruption.
What fills the gap is a different service mix: tires, brakes, cabin filters, battery coolant, and software diagnostics. The shops that survive will stop thinking of themselves as oil change shops and start operating as EV service centers that happen to still do oil changes for now.
For mechanics, my advice is blunt: get EV-certified now, learn diagnostics, and get very good at tires and brakes. The wrench work isn’t disappearing, it’s changing shape. And here’s the part people miss: autonomous fleets won’t roll into your neighborhood shop. They’ll be maintained centrally in fleet depots, so the consumer maintenance market could consolidate much faster than the industry expects.
Sareena William, Founder, OilChangeCouponCodes.us
Embrace Predictive Data Analysis
Autonomous vehicles will fundamentally change vehicle maintenance, but not quite in the way many people expect. While traditional mechanical skills will be important, the industry will be focused much more on diagnostics, software integration, sensors, cameras, LiDAR systems, and vehicle connectivity.
Based on my experience working with fleet operators across the country, one of the biggest changes will be the shift from reactive to predictive maintenance. Self-driving cars produce vast quantities of data, enabling operators to identify possible issues before they result in breakdowns. Instead of waiting for a component to fail, maintenance teams will more and more use real-time diagnostics and performance monitoring to plan repairs before they are needed.
Another big change will be the increased importance of sensor calibration. A misaligned camera or sensor has a much higher impact in an autonomous vehicle than it does in a traditional vehicle because these systems have a direct impact on the vehicle’s ability to perceive its environment. Calibration and validation of advanced driver assistance and autonomous technologies will need to be part of maintenance procedures on a regular basis.
My advice to mechanics is simple: technology is not a threat, embrace it. The most successful technicians of the future will be those who can meld traditional automotive knowledge with expertise in electronics, software diagnostics, data analysis, and advanced vehicle systems. Hands-on experience will be just as important as ongoing training.
The industry will need to maintain a skilled workforce to keep vehicles safe and on the road. That workforce may spend fewer hours under the hood fixing outright mechanical issues, and more hours analyzing data, diagnosing connected systems, and making sure the autonomous technology is functioning properly.
Bruce Shields, Founder & President, ABS Tag & Title
Build Video SOPs for Proven Work
Autonomous vehicles will move a repair shop’s value away from the technician who knows a truck by ear and toward the shop that can prove every step it took. Self driving systems depend on sensors, cameras and software that have to be calibrated and documented, so fleet owners will want a record of who did the work, with which tools, and when.
I coach trades owners, including a diesel mechanic where we built a library of SOPs, and I ran an NBN telecom contractor with about 30 staff where field work only counted after our office admin reviewed it. That record is a big reason we became one of the most relied upon jointing contractors in Australia. Mechanics can prepare now by recording their best jobs as short video SOPs, so the knowledge lives in the shop instead of in one technician’s head.
Ronald Osborne, Founder, Ronald Osborne Business Coach
Record Version States Before Service
I expect repair shops to verify sensor calibration after a repair that disturbs a camera or radar mount, such as windshield or bumper replacement. As autonomy increases, I expect the biggest change to be software-led diagnosis: a vehicle’s current software state will determine which fault checks and repairs are possible, while manufacturers control more of the update and authorization path. Even when a replacement part fits, its mounting geometry and calibration matter because the driving system could misread the road.
Software will also change the diagnostic conversation. A fault may depend on the version installed, the conditions under which it appeared and the data the vehicle recorded. I would want a technician to capture the fault codes and software version before changing anything, then repeat the relevant checks after the repair. An update or a cleared code alone isn’t proof that the underlying fault has gone. Shops will need to document what they changed and which tests passed, because the next technician needs a usable history when the same symptom returns.
Mechanics can prepare by learning the calibration procedures for the models they service and getting access to the approved diagnostic equipment and service information. For safety-critical systems outside a technician’s diagnostic access, refer the fault to an authorized specialist for verification.
Evgeny Leonov, Chief Technology Officer, Ronas IT | Software Development Company
Master ADAS Calibration After Collisions
1. The wrench turns into a laptop and expensive failures switch from the engine to the sensors. Last year I had a cracked windshield replaced and after that the lane-keep camera had to be recalibrated as well. This cost almost as much as the new glass and had to be done in a specialized shop with a target rig and a level floor. Multiply this by the number of lidars, radars and cameras of a self-driving car and a simple fender bender becomes a costly bodywork repair – but also a complex and time-consuming calibration job. The customer is no longer the car owner but the fleet operator. While a private car is only used for about 2 hours per day a robotaxi is on the road for almost 20 hours. This is why failure is not tolerated and problems have to be signaled before they actually fail. Oil change and brake pads become less important while diagnostics, software updates and above all sensor cleaning become more important.
2. Independent repair shops should get trained in ADAS calibration while it still can be done in an independent repair shop instead of in a dealer shop. Independent repair shops should invest in a good calibration bay and a good scan tool subscription. Many intermittent communication problems will be diagnosed as a new “weird noise” and will be very time consuming to diagnose without the right tools and knowledge. Shops should push very hard for right-to-repair for access to the manufacturer’s software. Soon there will be no right-to-repair anymore. As soon as possible independent repair shops should start to go after the repair of the fleets. A small independent repair shop can give a four-hour response time to repair sensor related problems and will get the work from the dealers who will take too long to repair it.
Replace Paper Logs With Searchable Records
My background building SnapFind showed me how AI photo recognition and QR labels turn messy physical storage into searchable systems without manual lists. The same shift will hit vehicle maintenance as fleets of autonomous cars generate constant streams of sensor data and part histories that mechanics must track across shops and owners.
Biggest change comes from replacing paper logs and scattered notes with tools that let anyone query a car’s full service record in plain language. Mechanics will spend less time hunting for past repairs and more time acting on data that surfaces instantly when a vehicle arrives.
I prepare teams by starting small, like labeling key components with QR tags during routine work so the next visit pulls up photos and specs without digging through records. Cross-training on basic AI search setups from inventory apps speeds this up faster than waiting for factory tools.
George Holevas, Founder, SnapFind
Specialize in High-Margin Technology Work
Autonomous vehicles will divide the maintenance industry in two: the commodity side, doing less and less of basic maintenance, and the speciality side, with big margins servicing the technology, and the middle is not comfortable. There will be less accidents from human mistakes, which means less work for repairing crashes. Automation in driving means less wear from harsh braking and bad driving habits. There will remain only the parts, which are not serviced by the most of the mechanics today: sensors, computers, their calibration.
I ran a service business for more than 20 years, and the same pattern is characteristic of every industry. Once the simple work is automated or becomes a commodity, the earnings will shift to the complex segment. At Thrive Local, I observed this effect in marketing, the simple marketing services become cheap and available everywhere, while companies pay for knowledge and experience, which cannot be automated. An independent mechanic faces a similar problem. He can continue to compete on low prices for tire renewing or he can become the expert in his region in servicing the autonomous sensors.
The question is how to make a choice regarding the specialization. It all depends on the wishes of the owner of the business – what type of revenue does he want in five years. If a mechanic wants to specialize in servicing the autonomous vehicles then he should develop all the necessary skills right now, because the barriers of entering this field are still low.
Aaron Whittaker, VP of Demand Generation & Marketing, Thrive Internet Marketing Agency
Certify in Camera Diagnostics
The maintenance bay turns into a software support desk before it turns into anything else. Most of the billable work on an autonomous vehicle won’t be brake pads and belts. It’ll be sensor calibration, firmware versions, diagnostics that come back as logs instead of noises, and a lot of arguing with a manufacturer about whether a fault is hardware or code.
I hire engineers for a living, and I’ve watched the same thing happen in tech hiring. The roles that disappeared weren’t the technical ones. They were the ones where the technical skill sat alone, with no ability to read a system end to end.
A developer who only writes one language gets replaced. A developer who can debug across the stack and explain the failure to a non-technical owner gets paid more every year.
So the mechanic who survives is the one who can interpret a diagnostic report, verify a calibration after a windshield replacement, and tell a customer in plain language what the vehicle’s own software got wrong.
Pick one skill that’s hard to automate and get certified in it now, while there’s still slack in the schedule. Sensor and camera calibration is the obvious entry point because it’s required after ordinary collision and glass work, and shops that can’t do it already ship those jobs elsewhere.
Val Narodetsky, CEO, Odesa
Secure Contracts Through Reliable Uptime
Autonomous vehicles are going to do to the neighborhood repair shop what email did to the post office, that is, when the volume of day-to-day repair jobs minimizes, the repair providers just improve their service and offer uptime. For instance, the self-driving fleet (which can either be robotaxis or delivery service) does not care about the nearby mechanic; its interest is to keep operating its cars and earning money. The consumer essentially stops being a driver and becomes a business, measuring the time of downtime in terms of money lost.
The customer shift that I have seen in the repair shops resembles changes of the industries I am working in. People who are ready to pay the most for repair services do not want to buy a task, they want to buy a reliable service. Therefore, the repair shop enabled to change its functioning and focus on transportation companies offering them contracts and other value-added features, will be able to sell repair services during preventive maintenance. Companies offering reliability will have long-term contracts, while those relying on the spontaneous flow of repair jobs will go bankrupt.
If I were to provide advice on this particular situation, I would suggest that an owner or repair provider cease thinking like an owner of a repair shop, and begin thinking like a provider of a service. In other words, it is highly important to build solid relationships and bond with the transportation companies that are going to enter your area.
Timothy Clarke, Senior Reputation Manager, Thrive Local
Earn Customer Trust Through Reputation
In the autonomous age, it will not be the trapper experts who will excel in their trade but the people who would know how to develop a good reputation with customers not able to comprehend the complexities of car repair. In case a self-driving car breaks down while it is accompanied with a message about the need to repair a sensor, the customer would stop at a garage of which they believe in reputation. No doubt, people will need different things in the autonomous age, but a good reputation will be the main priority.
I really know what I am talking about since I have been observing how good reputation influences the outcome of companies’ success in any industry. I had a chance to observe the situation when a car repair company increased its reputation rating from 3.8 to 4.4 because of the earned trust. A mechanic is also able to take advantage of the autonomous car era. Trusting someone is a key factor for that customer and they will pay even more if they know that they have relied on a trustworthy garage.
If I had an opportunity to communicate with someone responsible for the reputation of a car repair shop, I would surely advise them to appreciate that the reputation is truly needed. There are a number of things to consider when a person repairs someone’s car where the initial value is lost.
Brandon George, Director of Demand Generation & Content, Thrive Internet Marketing Agency
Bridge Mechanical Expertise With Digital Architecture
The rise of autonomous vehicles will shift the primary burden of maintenance from physical wear and tear to the integrity of the underlying digital architecture. In the design of enterprise-grade automotive solutions, hardware is increasingly becoming a container for the code that controls it, replacing traditional diagnostics with remote monitoring and Over-the-Air (OTA) updates. For the maintenance industry, this means the biggest challenge is moving away from high-margin, repetitive mechanical tasks toward highly specialized electronic recalibrations. A misaligned LIDAR sensor, for instance, represents a software and calibration failure rather than a mechanical breakdown, requiring millimetric precision to correct. Mechanics must prepare by pivoting from purely mechanical work to becoming systems integrators who can navigate high-speed ethernet backbones, sensor fusion, and complex software stacks. Because a vehicle is now essentially a mobile data center, technicians must treat it as such, focusing on network diagnostics and cybersecurity to ensure every update is authenticated and every sensor communication is secure. The most successful professionals in this new era will be those who can bridge the gap between mechanical physics and distributed systems architecture, prioritizing the health of the digital network as much as the engine.
Sudhanshu Dubey, Delivery Manager, Enterprise Solutions Architect, Errna
Price Maintenance by Asset Month
I expect the biggest change to be in the allocation of maintenance cost. Today there are millions of automobile owners, each making independent decisions about maintenance. With driverless cars, the buyer is a fleet which perceive cars as a cost per mile needing to be predictable. In such a case, shops which sell scheduled maintenance will triumph over those selling standalone services.
As for mechanics, I would prepare by learning new skills (sensors, cameras, and software diagnostics). They will have less work with engines as with electric fleets. Second, mechanics should learn to bill per vehicle per month, as buying fleets will perceive costs as linear per asset.
I would first approach one local fleet perhaps delivery or taxi companies and ask them to show how much downtime costs them.
Ankit Sarawagi, Curator, CFO Matrix
Link Physical Fixes to Automated Decisions
The maintenance industry will likely divide between routine mechanical work and high consequence system verification. Autonomous vehicles still have tires, brakes, suspension components, and body panels, but those parts increasingly interact with sensors and automated controls. This means a repair that appears ordinary can carry broader safety implications when it changes a vehicle’s field of vision or directional accuracy.
I would encourage mechanics to pursue cross disciplinary training in electronics, data interpretation, and manufacturer calibration standards. Shops should establish a final verification step after any work near sensors, glass, bumpers, wheels, or steering systems. The future advantage will belong to technicians who can connect a physical repair with the vehicle’s decision making process.
Reid Breitman, Personal Injury Lawyer, Kuzyk Law Personal Injury & Car Accident Lawyers
Use Trend Data to Prevent Failures
Routine maintenance will be scheduled by confidence scores. A vehicle can report that a sensor is functioning while operating near the edge of performance because of vibration, lens contamination, heat, or a software change. The maintenance question becomes whether the system remains reliable in conditions it will face, not whether a warning is present.
I would encourage technicians to treat trend data as a prompt, not a verdict. Testing degradation over time, validating calibration in realistic conditions, and communicating uncertainty will distinguish excellent shops. That helps fleets intervene before minor drift becomes a safety event, while giving customers a clearer basis for trusting automated transport.
Sherif Koussa, CEO, Software Secured
Explain Fault Risk With Evidence
The maintenance industry will need to explain uncertainty better. Autonomous faults are often intermittent, condition dependent, and tied to circumstances that do not repeat inside a service bay. Telling an owner that nothing is wrong because a warning disappeared will become less defensible when automated driving functions are involved.
I believe mechanics should build customer communication around evidence, operating conditions, and next steps. Explain what was observed, what was verified, and what remains uncertain. That approach reduces disputes and discourages owners from treating a complex safety system like a conventional dashboard light. Clear records will become part of the repair itself.
Todd Harmon, Founder & Owner, BathGems
Standardize Procedures to Limit Liability
I see autonomous vehicles making repair liability a much more visible issue. When a conventional vehicle behaves unexpectedly after service, the cause can be difficult to isolate. In an automated vehicle, every repair involving steering, brakes, sensors, software, or electrical systems may invite closer examination if an incident occurs later.
Mechanics should prepare by standardizing procedures before the technology becomes widespread. Clear intake inspections, approved repair steps, calibration records, final verification, and technician signoff can reduce uncertainty. Shops should also know when a job exceeds their current capabilities and refer it appropriately. That judgment is not a weakness. It demonstrates professionalism. As automation grows, the most respected maintenance providers will be those that recognize the limits of their process and protect safety above speed.
Brian Hansen, President, Rocket Pilots
Document Every Job Like Aviation
The maintenance record will become nearly as valuable as the repair itself. When a human-driven car has an incident, investigators reconstruct events from fragments. With autonomous vehicles, service logs, calibration certificates, software updates, and component serial numbers will form an accountability trail. Incomplete documentation could become a commercial risk, even when wrench work was flawless.
I expect the strongest shops to adopt aviation-style habits, where checklists protect safety and reputation. Mechanics should photograph work, preserve before-and-after readings, and create escalation rules for anything outside tolerances. That discipline helps customers distinguish qualified service from cheap service. This makes a shop credible when operators, insurers, or regulators ask difficult questions.
Jason Hennessey, CEO, Hennessey Digital
State Test Limits With Precision
One maintenance challenge will be explaining uncertainty honestly. Autonomous systems may perform well in ordinary conditions yet be limited by faded lane markings, road debris, heavy rain, temporary signage, or a dirty camera lens. If a shop uses broad language such as “all systems normal,” that phrase may later be read as a safety assurance rather than a snapshot of diagnostics. Courtroom disputes often turn on language that seemed harmless when written.
I would train staff to record the specific checks performed, the conditions present, and any limits on testing. Precise wording respects customers and gives technicians a defensible account of what occurred that day.
Chrissy Grigor, Personal Injury Lawyer & Founder, Grigor Law Injury & Car Accident Lawyers
Defend Access From OEM Control
The biggest danger facing the independent mechanic is not necessarily the autonomous vehicle, but rather the vehicle manufacturer. The vehicle are made to be closed-systemed that only the dealer has access to while the local mechanic gets shut-out. Because the vehicle is practically a computer on wheels, the OEMs determines who has the capability to access diagnostic information and who has the ability to manipulate the vehicle in the field. That is a problem with the business-model itself, and if I was a shop owner, I would lose sleep over this.
Similarly, a mechanic depending on the autonomous vehicle has to have this often doubtful attitude. If the only way to service these vehicles depends on the OEM helping, the mechanic is only as independent as the vehicle manufacturers allow him or her to be.
To do this I would recommend access and doing this collectively. Fight for right to repair, and if possible engage in underlying legislation and reach out to the OEMs and study work on systems that the independents still can access with rights. Tech skills matter but any owner who does not pay attention to who actually holds the keys will get trained, bought and all of a sudden finds themselves shut-out.
Jimi Gibson, VP of Brand Communication, Thrive Internet Marketing Agency
Trace Components to Protect Integrity
Parts quality will carry a different level of consequence in autonomous maintenance. A replacement component may appear identical, yet its manufacturing tolerance, firmware compatibility, or provenance could affect sensor performance and calibration stability. This will push fleets toward tighter approval lists and make informal substitution practices much harder to justify during periods of supply disruption.
I expect mechanics to benefit from stronger parts traceability, including batch information, installation history, and post-installation validation. Workshops should establish a clear process for handling unavailable components instead of relying on last-minute alternatives. Reliable suppliers, documented exceptions, and consistent inspection standards will become operational advantages. In this environment, disciplined procurement supports safety, uptime, and long-term fleet confidence.
Dawood Bukhari, CEO, Digital Web Solutions
Prove Readiness at Every Handoff
Autonomous vehicles will change what “fixed” means. A vehicle may have no obvious mechanical defect yet remain unsuitable for deployment because its sensors, communications, or validation status cannot support safe autonomous operation. Maintenance teams will therefore be judged less by individual repair speed and more by their ability to return vehicles to service with confidence, evidence, and predictable outcomes.
I think preparation begins with redefining accountability at the handoff points. Every completed job should answer what was found, what was changed, what was tested, and what conditions remain relevant for the next operator. That sounds simple, but it demands consistency across shifts and partners. Mechanics who develop this habit will become essential to fleet reliability. Their expertise will lie in connecting technical precision to operational readiness, which is where durable market trust is built.
Marc Bishop, Director, Wytlabs
