OK. I'll bite. Limited robotaxis in a few tightly-geographically-bound areas with particularly well-marked street grids... will have zero positive financial impact on Tesla.
Insignificant at best... financially dangerous if Tesla assumes the insurance risk. Since Tesla routinely overestimates how good their systems are (they're still the best on the market, but they have excess optimism), there *will* be accidents, even in the geofenced case (probably due to really weird stuff happening), and the liability *must* not be Tesla's if Tesla is to remain financially stable.
The availability of "best in class driver assistance features" worldwide for car *buyers* will be substantially more meaningful than some geographically limited (and still unreliable) robotaxi scheme. But all it really does is allow Tesla to raise prices; since Tesla's production limited, it doesn't increase car sales.
Frankly your perspective and mine differ somewhat while largely agreeing on the overall trends and their potential direct impact on Tesla.
Several specifics are relevant:
Large cities have a vastly disproportionate share of every type of non-exclusive transportation. Your perspective might well underestimate the influence of such cases due to your living circumstances just as mine might overestimate the same. After all I have lived most of my adult life in major cities, while you have lived in less overpopulated areas.
As for the commercial impact of geo-fenced well documented major urban areas vs the larger world we differ substantially. Just as taxi usage is almost all centered in major cities (measured by number of trips, financial impact, number of vehicles) so the Tesla Network will have similar concentrations. I have not yet searched for documentation but could do so if anybody seriously doubts those assertions. Major urban areas are exceedingly well documented, and present the extreme activity concentrations that will allow for major supplemental efforts to cope with edge cases.
The most difficult edge cases tend to deal with ephemeral issues such as extreme weather, sudden traffic diversions, road accidents and spontaneous entry of people, animals or other foreign objects in the roadway. All of those are less difficult to treat when they are in more dense areas.
By contrast the current level of Tesla autopilot IME is brilliant in sparsely populated well defined limited access highways. That is wonderful, but has limited application to TN unless long distance trucking is included in the equation. Managing the edge cases in sparsely populated areas might well be more difficult precisely because of the relative sparsity of observations available to train NN.
If these questions are to be material for Tesla valuations within the next year or two we might actually do some research on the subject rather than speculating.
I participated in a substantial analysis of the future of transportation while at SRi in the 1980’s. Even in those ancient times we were all convinced that some form of autonomous taxi solutions would become ubiquitous in large cities by the 2030’s. It seems likely to me that our 50 year horizon probably will have been quite accurate. As usually with those old studies with which I was involved I choose to remember the prognostications that have proven accurate. Of course I choose to ignore the ones that did not...
but I cannot fail to recall that several of the people involved in the Transportation project also were providing HP with advice about the future for handheld calculators and concluded the market would be only engineers, who all could do better with slide rules. Oops! In 1971 I had a Bowmar Brain which did not help my analysis that told my then bank employer that there would never be a market for a ‘mechanical teller’. Oops again. Oddly both of my mistakes later provided major career opportunities for me.
Sorry for being slightly OT. However, we all shroud be very modest in our assurance that we see what will happen with FSD. Advances in machine intelligence of every type are happening far faster than we an absorb them. Similarly sensor advances are also happening with astonishing speed.
It is that history and current events that convince me that anybody with too much confidence and/or self assurance is likely to be missing something very important. One clear advantage Elon Musk has over almost all potential competitors is that he changes his mind when he finds clear evidence he’s been wrong. I prefer to admit my mistakes and learn from them rather than pretending I know things I do not know. Unless I find I am in error I remain quite confident in my views.
Finally, I will be astonished if the top 10 SMSA in the US do not produce >80% of TN US revenues and >100% of profits.