So if we are talking about 10+ years long term outlook: income will only be as high if Tesla's solution is going to become a de-facto monopoly, and they can price their taxi services to around the pricing of human driven taxi services.
Otherwise if there's competition then robotaxis will set the price of taxi services to below that of human taxi services, human taxi services will gradually die out and robotaxi services will conduct a usual race to the bottom, prices somewhere around the price of expected capital returns.
I.e. the very long run lower price target for a $50k capital investment will be ~5% of the capital, $2.5k/year, or $25k over 10 years.
But in the initial phase they will track taxi services pricing, and will generate 10x higher returns - especially if Tesla becomes the dominant leader in the segment, which they have every chance to achieve.
Regarding Autonomy... I would like to suggest two lectures I found to be very informative. Both are By Shasua (MobileEye CTO) and were presented at MIT’s Center for Brains, Minds and Machines (CBMM).
The 1st lecture is a little old (2017), but provides a
great no-nonsense overview (imho) of Autonomous Driving.
The 2nd one is a month old (March 19, 2019) and in my opinion promoted Musk to Do the Autonomy event.
In the recent talk Shashua reviews MobileEye's implementation of Level 4 Autonomous Driving, the logic behind the implementation, and presents examples from current testing phase of level 4 in urban environment.
Apparently VW and MobileEye have a contract to deploy Autonomous EV Ride-Hailing Service in Israel 2022, starting in Tel-Aviv
Volkswagen, Mobileye and Champion Motors to Invest in Israel and Deploy First Autonomous EV Ride-Hailing Service
* CBMM site includes transcripts
1. Great no-nonsense (imho) overview of Autonomous Driving
(link is to CBMM... timed links are youtube) "The Convergence of Machine Learning and Artificial Intelligence Towards Enabling Autonomous Driving"
**
Introduction by host:
**
Beginning of talk
3 pillars of Autonomous Driving: (1) Sensing (2) Mapping (3) Driving Policy
**
Lidar (+HD Map) vs. Camera (or Map-Heavy vs Map-Light)
** Driving Policy
(interesting to see how their view evolved... when reviewing the more recent talk)
https://youtu.be/b_lBL2yhU5A?t=1990
** Summary, QA
2. Current state of 'Map-Light Autonomy' at MobileEye
(link is to CBMM...) SUCCESSES AND CHALLENGES IN MODERN ARTIFICIAL INTELLIGENCE
----
My take-
Disclaimer first:
1. Don't have education or professional experience with Auto, AI or Investment industries.
2. Have a long position in TSLA, although relatively new in the game.
A. It appears that LIDAR(+HD Map) vs Cameras System is a media hype. Both solution are feasible today, Industry leaders recognize both, and there are working examples for both systems (Waymo/Cadillac vs MobileEye/Tesla). Industry players will probably choose their preferred stacks without consulting CNBC analysts.
B. In my opinion Tesla might be a little behind MobileEye. However I believe they can catchup, and still are well positioned to win a substantial piece of the automotive and/or autonomy pie (not talking about the potential of Tesla's other businesses):
Tesla are the only car manufacturer that have their own Autonomy solution. While MobileEye provides it's service to the whole automotive industry. In worst case scenario, Tesla can use MobileEye's solution... Tesla has a huge lead in electrical vehicles, and a growing business while other combatants have a declining business and still didn't figured out electrical cars.
In regards to Waymo, it is my belief that Tesla positioned better, but google cash and support cannot be taken lightly.
Would like to hear other members take on this... Also noticed that there are several member that have formal education/ experience in Autonomy field...
@hershey101 @MarcusMaximus @heltok
In any case, hope this information is useful.