My 1968 Imperial: AI Won’t Turn The Wrench, But It Can Cut the Bill

Three quarter front scaled

I took my 1968 Imperial Crown Convertible to a tire shop for the least exotic reason imaginable: new tires. The tires still had plenty of tread, but they had aged out. I told the service representative that the lug nuts on the driver’s side were left-hand thread. The lugs were even marked with high-contrast white “L”s. Somewhere between the front counter and the lift, that information disappeared. A technician put a powerful impact gun on the left-side lug nuts and went the wrong way. Several wheel studs lost the argument. 

Original LHT studs marked with L in white scaled
Studs marked with “L”

A routine tire change had just become a specialty repair on a low-production Imperial, with now-obsolete Budd front disc brakes and parts support that makes a ’60s Mustang owner look spoiled. Like many of us, I chose a car connected with my past. For better or worse, the first car I ever worked on was a used 1968 Imperial convertible my dad bought. Decades later, I own one; a presentable 20-footer that I do my best to keep going.   

Back to the wheel studs, AI didn’t spin a single wrench. What it did was give me a realistic playbook: what needed to come off, what was impossible to replace if I broke it, and whether I should tackle it in my garage or pass the headache to a shop. On an old car, that information can be the difference between a manageable repair and a very expensive one. 

Why A Wheel-Stud Job Became an Imperial Problem 

The more I looked into the job, the less it resembled replacing a few wheel studs on an ordinary car. 

At the front, a 1968 Imperial uses an unusual Budd fixed-caliper disc-brake system. Those parts are scarce, which changes the risk calculation immediately. Pressing through the rotor, bearing cups, seal land, or the wrong part of the flange can turn a damaged stud into a damaged hub. Hammering the studs out or pulling new ones into place with a lug nut and an impact wrench may be common—but common is not the same as wise when the replacement part is very hard to find and expensive. 

At the rear, the drum slips off, but properly supporting the axle flange for pressing brings the axle shaft into the job. Then the axle seal, gaskets, bearing condition, retainer torque, and adjustable axle-shaft end play enter the conversation. Suddenly, the five-dollar-looking stud has introduced itself to most of the left rear corner of the car. 

This little disaster illustrates several larger problems that are making the old-car hobby harder for ordinary owners to afford. 

Why the Old-Car Hobby Is Getting Harder to Afford 

The car purchase price gets the attention, but ownership affordability is the real test. Several forces have converged against the ordinary hobbyist: 

Labor has become the expensive part. Back in the day, parts were often expensive and labor relatively cheap. Now it has largely flipped. Many mass-market tools and service parts—especially those shared by several models—are affordable, but shop time is not. A two- or three-hour repair can easily produce a $500 bill before anything rare breaks. 

Old-car knowledge has become specialty knowledge. Mechanics once encountered carburetors, breaker points, drum brakes, and adjustable wheel bearings every day. Now even a very good general mechanic may rarely see them. Much of the knowledge survives in shop manuals, technical bulletins, club newsletters, old forum posts, and the memories of a shrinking number of specialists. 

Rare parts are expensive—and they make mistakes expensive. Imperial never sold in anything approaching Cadillac volume, and it receives little attention from reproduction-parts manufacturers compared with Mustangs, Camaros, and popular muscle cars. It did not help that big Imperials became demolition-derby favorites. Many Imperial-specific parts are now scarce, used, or unavailable. An Imperial can still be shockingly cheap to buy -and surprisingly expensive to repair. 

The specialty-service network is thinning out. In Burlington, Vermont the old-car community is very small, with much of the visible activity centered on muscle cars, hot rods, and sports cars. I know of only one shop that specializes in older cars, and much of its work falls into those categories as well. Over more than 20 years, my experience has been that older American cars outside those popular categories are often lumped together -and dismissed as “land barges,” regardless of rarity, design, or historical importance. Like any generalization, there are exceptions—but it is the pattern I have encountered most often. In addition to a lack of specialized mechanics, shops have an additional economic reason to not even accept old cars: If one fragile part breaks during repair, the car may occupy a lift while the unobtainable replacement part is found, and a repair ends up tying up a shop spot.  

The mechanic is only the first link in the chain. Keeping an old car going may require a machine shop, carburetor rebuilder, radiator shop, caliper rebuilder, instrument repairer, chrome plater, or upholsterer who understands original construction. The shop that repaired my Imperial’s radiator primarily works on farm and construction equipment radiators! The specialists who remain are fewer, and genuine expertise increasingly commands specialist prices. 

The hobby is competing for household money. Rising housing, insurance, food, and other expenses leave less discretionary income for hobbies like old cars.  

Same wheel with hubcap scaled

The Imperial Studs Became A Research Project 

I gave ChatGPT the exact vehicle information and problem. I asked it to search factory service information first, then parts books and technical bulletins, recognized Imperial sources, vendor specifications, and finally forums. 

It assembled a working procedure, identified danger areas, found candidate replacement studs, and produced a list of bearings, seals, gaskets, cotter pins, and other parts that might be needed if disassembly revealed damage. It also identified the tools required and gave me enough information to make a serious decision about doing the work myself instead of simply assuming that a shop had to do it. 

The tool-cost comparison was revealing. A hydraulic shop press can be bought for under $200. Add the other specialty tools I did not already own and my incremental cost to do the job myself would have been roughly $300. I could buy the press, use it once, donate it to a high-school car program if I did not have room to keep it, and still be well below the eventual shop bill. 

And even though the tire store had accepted responsibility for damaging the studs and was willing to pay for the repair, I seriously considered doing the job myself anyway. Why? 

Cost is only one part of the calculation. Every time I hand an uncommon old car to someone else I expose it to another set of risks. Over the years I have had the car come back twice with unrelated damage, including once with the paint scratched, and another with a side molding dented. On something as uncommon as the Imperial, avoiding a new problem can be worth spending extra money and my time on a repair. 

This time, however, the time cost was too high. Vermont gives us only a limited classic-car season before snow and road salt put these cars away. I could have learned the job, bought the tools, worked slowly, and probably had the satisfaction of doing it myself. That would mean spending the rest of the driving season with the Imperial on jack stands and finishing sometime in the spring. I chose the shop for this one. 

That, to me, is another way AI helps. It does not always persuade me to do a repair myself. Sometimes it gives me enough information to decide intelligently that I should not. 

Before the car went in, I used AI to identify and locate the parts that might be required and bought them in advance, keeping the uncertain ones returnable. I also condensed the research into a mechanic’s tip sheet with the Imperial-specific danger areas, specifications, and issues I thought worth flagging. The goal was not to teach a professional mechanic how to use a press. It was to spare them some of the archaeology required to figure out an uncommon 1968 Imperial before they begin the actual work. 

The repair was completed successfully, as far as I can tell. Every driver-side stud was replaced, converting the entire left side to conventional right-hand threads. The passenger side was already right-hand thread, so all four wheels now work the same way. The shop charged $725, and the tire store accepted responsibility and paid the bill. 

None of the seals, bearings, or gaskets I had bought as possible contingencies were used. I cannot tell you whether that means they were simply unnecessary once the car came apart or whether the shop took a shorter route through the job. Because another shop was paying the bill, I also had no practical way to know how much time the mechanic was willing to spend on precautions and contingencies I had identified. 

I also cannot confidently tell you that the mechanic read my tip sheet closely. I will note that the tip sheet specified the 65 ft-lb wheel-nut torque. As I was leaving, the mechanic told me that after a few miles I should re-torque the wheels to the “current 100 ft-lbs.” That exchange left me with the distinct impression that at least one part of the sheet had not made it from paper to wrench. 

Oddly, that does not make me think the preparation was wasted. The sheet gave me a way to know what questions to ask, what parts of the car were vulnerable, and when advice I received did not match the information I had gathered. It also signaled that I knew the car, had done my homework, and was likely to notice if something did not add up. I cannot know whether that changed how carefully the mechanic approached the job, but on a rare car I would rather send that signal than not. AI input may help a mechanic. But it can’t make the mechanic read information.  

Picture of the tip sheet and parts scaled

Where AI Actually Helps the Vintage Car Owner 

My Imperial experience points to uses that extend beyond one set of damaged studs: 

Diagnose before buying parts. AI can turn a vague symptom into a test sequence and identify what measurement separates one likely cause from another. That is cheaper than firing the parts cannon. 

Build a complete repair plan. It can assemble the procedure, parts, consumables, tools, specifications, dependencies, safety issues, and “while you are in there” items before the car is apart and immobile. 

Find parts and interchange possibilities. For an uncommon car, the right question is often not “Where can I buy Imperial part X?” but “Was this bearing, seal, or internal component used somewhere else?” 

Make the do-it-yourself decision more rational. AI can compare tool purchases, rental, outside labor, time, and risk. In my case, it showed me that the home repair was financially realistic—but that losing most of Vermont’s driving season was not. 

Make professional work more informed. A concise packet with the exact configuration, relevant manual pages, likely parts, unusual danger areas, and unresolved questions can reduce the amount of rediscovery required on an unfamiliar car. Even if a mechanic does not absorb all of it, the owner goes into the conversation better prepared. 

I used the same approach when my Imperial developed a charging-system problem. Starting with the actual hardware and factory procedure, AI helped me organize tests that separated the alternator, regulator, wiring, and grounds instead of suggesting that I replace parts until the multimeter behaved. Again, the savings came from reducing uncertainty. 

There are other uses that did not come up in this story. I bought the Imperial before AI became a common consumer tool. Today AI can help develop a model-specific pre-purchase checklist that flags common rust areas, missing trim, impossible-to-find parts, and incorrect components. The least expensive repair is often the car you knew not to buy. 

Front scaled

The Machine Also Lies 

Here is the part every AI enthusiast should admit plainly: AI can be spectacularly wrong, and it often delivers the wrong answer in the tone of a factory engineer who just consulted with Walter P. Chrysler. 

The first AI-generated version of my stud procedure was not ready to hand to a mechanic. I then instructed ChatGPT to act as a skeptical technical auditor. It had to review the procedure against the source hierarchy, search for contradictions, and identify anything unsupported or potentially damaging. It found seven errors or materially misleading points in its own earlier work, including putting one step in a sequence that could expose a bearing to metal debris, contradicting itself about where the hub could safely be supported, and identifying the wrong rear-axle component during reassembly. 

That did not prove AI was useless. It proved that AI must be managed. I now follow a few rules: 

  1. Identify the exact car, hardware, production variation, and previous modifications. 
  2. Demand sources and page references for part numbers, specifications, and safety-critical steps. 
  3. Require AI to separate verified facts, assumptions, conflicts, and unknowns. 
  4. Ask it to attack its own answer and explain how it could be wrong. 
  5. Compare the answer with the physical car, original parts, factory literature, and a mechanic or marque specialist before acting on anything that can hurt someone or destroy a scarce component. 

Checking one AI system against another—ChatGPT against Gemini or Claude, for example—can expose disagreements. But it is not foolproof. Three chatbots can repeat the same bad webpage just as confidently as one. A paid AI subscription may provide better tools and deeper research, but it does not purchase immunity from nonsense. 

Good AI research also takes time. Manuals must be found or uploaded, citations checked, part numbers confirmed, and the final procedure read critically. But I would rather spend an evening finding a contradiction on a screen than a month looking for an Imperial hub damaged by a beautifully formatted mistake. 

AI has not made my Imperial cheap. It cannot make chrome plating, bodywork, upholstery, storage, or an unobtainable casting inexpensive. It cannot feel a rough bearing, see hidden rust, or take responsibility for the result. It will never replace experienced mechanics and owners who know when something does not look or feel right. 

What I like about AI is that it makes some repairs practical for me that would not have been practical before. I still participate in Imperial-owner groups and talk with other owners. That remains valuable. Those communities are not being replaced. 

What AI adds is reach. It can bring into my preparation the voices of experts who are not active on today’s forums, people whose old posts and technical writing are still online, and even experts who are no longer with us. It can find the service bulletin I did not know existed, connect it to the factory manual, compare it with a parts book and years of owner discussion, and put that accumulated knowledge in front of me when I am deciding what to do in my garage. 

That may be its most important contribution to the old-car hobby. The knowledge needed to maintain these cars has not all disappeared; much of it has simply become fragmented, buried, and hard to find. AI can help bring it back within reach. 

If the hobby becomes limited to wealthy collectors and people with professional-level mechanical skills and fully equipped shops, it will lose much of what made it interesting -at least for me. Used skeptically, AI gives more of us a chance to remain in the garage and keep uncommon cars on the road. In the end, AI didn’t just show me a roughly $300 path to doing myself a repair that cost $725 at a shop. It showed me what scarce parts were at risk and gave me enough information to weigh the money, the risk, and the limited Vermont driving season for myself. AI will not turn the wrench. But it may cut the bill—and, perhaps more importantly, give an old-car owner options that would not realistically have existed before. 

Three quarter Rear 1 scaled

 

Sidebar: The Imperial Behind the Story 

Car: 1968 Imperial Crown Convertible
Engine: 440-cubic-inch Chrysler V8
Transmission: Three-speed TorqueFlite automatic
Seating: Six passengers
Production: 474 convertibles
Historical distinction: Final year of the Imperial convertible 

Introduced in 1926 as Chrysler’s flagship luxury model, Imperial became a separate marque within Chrysler Corporation in 1955, positioned directly against Cadillac and Lincoln. That original separate-marque run continued through 1975. The name later returned on a 1981–83 personal-luxury coupe and again on the 1990–93 Chrysler Imperial sedan. 

The 1968 car combines shared Chrysler C-body engineering with Imperial-specific body and hardware. Its unusual Budd front disc brakes, originally left-hand-thread driver-side wheel studs, low production, limited reproduction support, and nearly six decades of previous repairs make it an ideal test of what AI can—and cannot—contribute to old-car ownership.