Elon Musk is wrong on robotaxi timing, Uber CEO Dara Khosrowshahi says

Uber CEO Dara Khosrowshahi: I disagree on Musk's robo-taxi timing expectations
1 Hour Ago | 01:09

Uber CEO Dara Khosrowshahi told CNBC he agrees with Tesla CEO Elon Musk that the future of mobility is electric, but he disagrees with Musk that truly autonomous “robotaxis” will next year.

In an interview that aired on Uber's IPO day on Friday, “Squawk Box” co-host Andrew Ross Sorkin asked him what the future of mobility looks like.

“First of all, it's got to be electric,” the CEO said. “We think that's a no-brainer. It's good for the environment. It's where the world is going. And we're playing our part, for example, in London to move it electric.” He added that Uber, of course, thinks the future of mobility also has to be “shared.”

The ride-hailing giant will make its debut on the New York Stock Exchange on Friday, pricing its IPO on Thursday night at $45 per share.

Tesla CEO Elon Musk recently told investors he is ready to take Tesla into a new, driverless era. The company should have a million vehicles capable of functioning as driverless robotaxis on the road by the end of 2020, he said. He also told investors that self-driving technology and services will help his electric car company grow to a $500 billion market cap.

When the Uber CEO first heard Musk's predictions about this, Khosrowshahi said, “I thought: If he can do it, more power to him. Our approach is a more conservative approach as far as sensor technology and mapping technology. The software's going to get there. So I don't think that his vision is by any means wrong. I just think we disagree on timing.”

Spencer Platt | Getty Images
The inside of a Tesla vehicle is viewed as it sits parked in a Tesla showroom and service center in Red Hook, Brooklyn on July 5, 2016.

Musk has also promised investors and fans that Tesla's self-driving cars will be able to work 100 hours a week, generating tens of thousands of dollars in income for their owners. He has also said that Tesla should be able to win regulators over to approve Tesla robotaxis for commercial use in the near future, at least in some locales.

Tesla and Uber have seen their semi-autonomous vehicles involved in fatal crashes in recent years.

Khosrowshahi struck a more sober tone about a driverless future.

“I think it will be quite a few years beyond,” he said.

While media coverage and industry conversations have focused on the dramatic notion that robots will steal jobs from people, the Uber CEO said he believes automation will always work better to augment humans' work. The better things are robots and humans together. Hybrid is always better, and hybrid states can continue for a much longer period than you think.”

In addition to its sizable ride-hailing business, Uber offers bike and scooter rentals, food delivery and operates a freight marketplace that links senders to shippers. Uber is developing self-driving vehicle technology through its Advanced Technologies Group.

Post-IPO Uber has a market capitalization over $80 billion. Tesla's market cap currently stands around $43 billion.

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Tesla Insurance: Information Arbitrage To Save You Money

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Published on May 3rd, 2019 |

by Vijay Govindan

Tesla Insurance: Information Arbitrage To Save You Money

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May 3rd, 2019 by Vijay Govindan

Tesla Insurance will increase customer satisfaction
I recently went through the pain of looking for auto insurance for my new Tesla Model 3 Long Range. Some auto insurance companies are more sophisticated than others. Others … need some work. Some of the insurance sites I visited could not identify my Tesla VIN. One company said they would call me back. Another company that had an app for my phone would give me a quote in three weeks. One insurer thought our Tesla was a gas car. Facepalm.

Example A: Large, unnamed auto insurer thinks the Model 3 is a 4 door sedan running on gas.

Disclosure: I worked at several insurance companies for several years.

Consider two situations: One is a great customer experience for Tesla. The other is somewhere between bad and good, depending on the individual.

Imagine the following: You are ready to order your beautiful Tesla on your phone. You are super excited. You can’t wait to drive it and show it off. Before you place the order, you realize you need insurance before delivery. Magically, Tesla asks you if you want Tesla Insurance on your new vehicle. You add the insurance and you are all set! Painless! You are extremely satisfied with the ease of buying the car plus insurance. You look forward to delivery.

Contrast that with this situation below, which is not so pleasant. (Please note there is some exaggeration.)

Imagine the following: You are ready to order your beautiful Tesla on your phone. You are super excited. You can’t wait to drive it and show it off. You place the order. Then, horror of horrors — you need to find auto insurance before delivery. Yuck!

Panic ensues. How much will it be? Is it going to be super expensive? Do I need to visit a dozen sites to get the best insurance cost? Should you call that weird uncle of yours who knows the best deals in dark alleys with shady characters for everyone and everything? Suddenly, the purchase of your new Tesla got dimmed quite a bit.

Insurance companies can’t individually rate your driving characteristics. Instead, they bucket your experience and characteristics into similar “groups.” These groups are rated, usually by applying one multiplicative rating factor with another. Common groups include your age, when you first got your license, if you are married or single, if you own a home, your credit rating, your accident history, and anything else they ask for when you apply for auto insurance.

Sophisticated insurers use generalized linear models — think of y = a+ bx (instead of a and b being fixed, they can change based on your characteristics). Then expand that to y = a + b1x1 + b2x2 + b3x3 etc. (Linear algebra is very important here.) Even more sophisticated insurers are probably implementing or experimenting with Machine Learning and Big Data analysis.

Buying your insurance when you purchase the car will draw more people to Tesla. It saves you time, effort, frustration, and inconvenience.

Tesla knows how you drive better than you do
On Tesla’s Q1 2019 earnings call, Elon announced Tesla is creating its own insurance product. The company expects to launch it in about a month.

How could Tesla launch an insurance product without having any insurance experience? Very easily. They will have detailed information on how you drive your Tesla, better than an insurance company would. They also know their customers. Most people buying a Tesla probably have excellent credit. Excellent credit is a key factor determining your insurance costs.

“Your insurance score is based in large part on your overall credit rating.”

Last, Tesla knows the inherent safety of its vehicles. Safer vehicles mean reduced chances of having an accident, less chance of getting injured, and less chance of injuring someone else. New Teslas have a suite of cameras, radar, and sensors to keep you and others safe. They are moving towards Full Self Driving (FSD).

Obviously, Tesla would not classify your electric vehicle as a gas car. The company would be able to perform deeper classifications. In a word, it’s information arbitrage. I would define information arbitrage as one party having more knowledge about a situation than the other party in a contract. They use this “added” information to position themselves ahead of everyone else and generate profits from the opportunity. But this is not my term.

“Tesla has an ‘information arbitrage opportunity,’ Musk said. The company is able to capture driving data, giving the company direct knowledge of the risk profile of the driver and car. If customers want to buy Tesla insurance, they might have to agree to ‘not drive the car in a crazy way,’ said Musk, who added they can, they’ll just have a higher insurance rate.”

Tesla has the benefit of having Machine Learning expertise, continuously performing analysis on lots of Big Data, and to top it off, the company has an excellent neural networking team. The first two are keys skills for insurance companies, and the third includes skills the insurance companies wish they had. Tesla can take your vehicle information, anonymize it, group it together, perform statistical analysis, and figure out which combination of behaviors are safer or riskier. Use Autopilot more than 80% of your driving time? That could give you a discount. Drive the speed limit religiously? Could be another discount. Drive more highway miles than local? Discount! Take your Tesla and jump off cliffs? Penalty!

The beauty of this is Tesla only has to price the insurance at break even or a slight profit. It does not have to act as standalone insurers seeking profit as their primary source of income. This would cause a lot of havoc for auto insurance companies as Tesla’s fleet grows.

Now, with this in mind, Tesla Insurance saves you time, effort, frustration, inconvenience, and cost. It improves the customer experience.

Example B: Esurance, what’s going on with your rates? This is for an FSD model, which insurance companies don’t yet adequately rate.

What are some advantages Tesla has against insurance companies?
For a simpler format, I will list what I see as advantages for Tesla as an insurance company here.

Tesla creates the vehicles it will insure. These vehicles are some of the safest, if not the safest, on the road.
If a Tesla gets into an accident, occupants inside the Tesla are less likely to be injured. This reduces liability costs.
Features such as Traffic Aware Cruise Control and Navigate on Autopilot reduce the risk of rear ending someone (very common) or getting into an accident on the highway. This reduces insurance frequency and severity.
It is hard to steal a Tesla, reducing property damage costs.
Tesla software such as Sentry Mode and live camera recording can provide proof for theft, accidents, and who is at fault.
The Standard Range, Long Range, and Performance versions of the car are similar in body structure, allowing data to be grouped together if needed.
Tesla owns some body shops.
Tesla operates Mobile Ranger service.
Tesla has Machine Learning, Big Data, and neural net experience. It can leverage this experience to price the insurance.
Tesla gets detailed vehicle telemetry from each vehicle.
Tesla can supply the parts for repairs at cost and without markup.
Tesla already calls you within a few minutes if you are in a severe accident.
Tesla will give you a tow if you run out of charge.
Tesla can seek a nominal profit.
Due to all of the above, Tesla can undercut insurance companies on price.
Because of these inherent advantages Tesla can offer similar coverage for less, or offer more coverage for the same price versus competing insurance companies.
Bundling the purchase of insurance and purchase/lease of a Tesla together improves the customer experience greatly.

Many things that an insurance company offers, Tesla already does.

Detailed “Tesla Insurance” information
Below is some information recently found regarding Tesla Insurance Services. The link for the entire 4000+ page document can be found if you have the link to the actual insurance filing or visit the CA DOI’s headquarters. Source: Twitter. Thanks, Steve Jobs! (@tesla_truth)

Figure 1: Some states where Tesla already has set up Tesla Insurance Services. This includes MA, CA, NV, AL, NY, MT, OR, PA, VA, and TX.

Figure 2: Tesla’s rating algorithm filed with the California Department of Insurance.

Above, we see Tesla’s rating algorithm for Tesla Insurance Services. The base rate for each coverage is multiplied by the respective discount / surcharge. All the different coverages are added together for the final premium (Line 27).

Summary of coverage definitions
BI = Bodily Injury
PD = Property Damage
MED = Medical Payments
UM = Uninsured Motorist
COMP = Comprehensive
COLL = Collision
UMPD = Uninsured Motorist Property Damage
GAP = Gap Insurance
RR = Rental Reimbursement
RA = Roadside Assistance
CDB = Collision Deductible Buyback

What is most interesting is the Autonomous Vehicle Package on Line 28 (page 66)

AUTONOMOUS VEHICLE PROTECTION PACKAGE

Subject to all the terms, conditions and exclusions of the policy, we will provide the following coverages:

Autonomous Vehicle Owner Liability
Cyber Identity Fraud Expenses
Wall Charger Coverage
Electronic Key Replacement

We find out later that this coverage will be mandatory for Tesla drivers (page 868).

Vehicle Automation Package Endorsement
SNIC is proposing to add a Vehicle Automation Package endorsement that is mandatory for all Tesla vehicles, which includes:

Autonomous Vehicle Owner Liability
Cyber Identity Fraud Expense
Wall Charger Coverage
Electronic Key Replacement

On page 1772, we find the premiums for this coverage. It is not expensive at all.

Autonomous Vehicle..

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DC Government Launches New Ride Sharing Program to Transport Employees

Published May 9, 2019 2:39 pm, Via NYC
DC Government Launches New Ride Sharing Program to Transport Employees
District Government Employees can now book rides for official District business through Via, with ride expenses billed electronically to their agency.

May 9, 2019 (Washington, DC) — The Department of Public Works (DPW) recently announced a new partnership with Via to provide District government employees with a new ride sharing service. The ride sharing program minimizes the need for employees to use DC Government vehicles, eliminating maintenance, fuel, and acquisition costs. The program will also reduce fleet operating costs by nearly 20 percent from the resulting per mile rate, while also contributing towards a cleaner environment.

“We know from our previous pilot that an on-demand ride-sharing service is the fastest and most efficient way for our employees to travel for work-related activities,” said DPW Acting Director Chris Geldart. “Via is the best fit for our agencies’ needs and will result in a significant cost savings for the District over our previous fleet sharing options, whether leased or owned vehicles.”

DPW, together with the Department of for Hire Vehicles (DFHV), executed a
pilot with the local taxi cab companies to determine if ride sharing was a
viable option for transporting District government employees. This pilot
successfully ran from June 2017 until April 2018. More than 2,100 rides were
completed with 27 different agencies participating in the pilot. After a
successful pilot, DPW decided to create this as a permanent program for
District employees and Via was selected after a competitive bid process.

To use DPW’s new Vehicle on Demand service, employees simply
download the Via app designed for their iPhone
or Android
device, register for an account and then use it as they would any app-based private driver
service.

“We are delighted to partner with the Department of Public Works to provide an efficient and cost-effective way for employees to travel around the city,” said Alex Lavoie, Via U.S. General Manager. “Via’s vision is to provide cutting-edge mobility solutions that are smart, efficient, and help to reduce congestion and emissions here in D.C. and around the globe.”

About Via

Via is re-engineering public transit, from a regulated system of rigid routes and schedules to a fully dynamic, on-demand network. Via’s mobile app connects multiple passengers who are headed the same way, allowing riders to seamlessly share a premium vehicle. First launched in New York City in September 2013, the Via platform operates in the United States and in Europe through its joint venture with Mercedes-Benz Vans, ViaVan. Via’s technology is also deployed worldwide through dozens of partner projects with public transportation agencies, private transit operators, taxi fleets, private companies, and universities, seamlessly integrating with public transit infrastructure to power cutting-edge on-demand mobility. For more information, visit www.platform.ridewithvia.com.

About DPW

DPW is a nationally recognized leader in sustainable government fleet management practices. It maintains and fuels more than 3,000 vehicles and continuously explores options to help the nation’s capital reach its goal to reduce carbon emissions.

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