Nathaniel Bullard's latest Sparklines article for Bloomberg Green makes some interesting arguments around EV adoption.
First, he shows that cars in general have been getting a lot more expensive. Looking at new vehicle market share in the US according to price (above), you can see how quickly cars over $40k have become about half of the market. Only some of this is inflation.
Nathaniel then goes on to show just how many people lease a luxury vehicle (apparently this is called lease penetration). For Infiniti it's 55.6%, for BMW it's 49%, and for Mercedes it's about 40%.
When you consider that "upfront cost parity" between EV and internal combustion vehicles is supposed to arrive sometime in 2024, there is an argument to be made that people are destined to start buying a lot more EVs in the near future.
They're already buying expensive cars and EVs will soon be cost neutral in that regard. At the same time, a lot of people lease their cars and will be in a position to easily switch when it makes sense to do that.
I think the greater barrier to adoption at this point will be the charging network and "range anxiety." Too many plug types and not enough charging stations, except maybe if you have a Tesla. But at some point that too will change, I'm sure.
Each year, Bloomberg NEF (New Energy Finance) publishes a long-term forecast of how electric vehicles and shared mobility will/might impact our cities. Predicting the future is never easy. And forecasts are never right. But they're valuable to do.
By 2040, BNEF believes that 57% of global passenger vehicle sales and 30% of the global passenger vehicle fleet will have some form of an electric drivetrain. Either full battery electric (BEV) or plug-in-hybrid electric (PHEV). Looking at this another way, we have about 17 years (2037) until ICE and electric vehicles are expected to intersect and hit 50/50 in terms of global sales.
A big part of what is driving the adoption of electric vehicles is that the price of lithium-ion batteries keeps coming down. Assuming this trend continues, the price of EVs and ICE vehicles (in most segments) should reach parity sometime in the mid-2020s. Meaning, yes, it's more expensive to produce an EV today.
All of this will also impact mobility services (ride-hailing and ride-sharing). Today, less than 5% of annual kilometers traveled by passenger vehicles around the world is thought to be done through some form of a ride-hailing app. That's still a pretty significant number, actually. Though only about 1.8% of this fleet is electric.
By 2040, shared mobility services are expected to rise to 19% (see above) and -- because their costs are coming down -- 80% of this fleet is expected to be electric. Autonomous vehicles are not expected to meaningfully impact global mobility until the 2030s. But the growth in shared mobility services is still expected to reduce the demand for car ownership, and likely parking.
Other high-level findings from BNEF's 2019 Electric Vehicle Outlook can be found here. If you want to access the full report, you'll need to be a BNEF client.
Benedict Evans just published a great post on his blog about “Tesla, software and disruption.” I recommend a full read. In it, he tries to answer whether Tesla is really “the new iPhone” and if it will be as disruptive to the car landscape as some/many people think.
In his line of thinking, electric (as opposed to an ICE vehicle) feels a lot more like a sustaining innovation, rather than a disruptive innovation. In other words, it something that incumbents will be able to incorporate. So it will not change the “basis of competition.”
The more critical aspect is instead autonomy. Here are two snippets from the piece:
All of this takes us to autonomy. Electric is compelling but will probably be a commodity, whereas Tesla’s improvements on top of electric may not be commodities but are not necessarily decisive. Autonomy changes the world in profound ways (I wrote about this here), and it’s a fundamentally new technology that doesn’t look at all like a commodity. And Tesla is doing this, too. Sort of.
In this competition, Tesla’s thesis is that the data it can collect from its cars will give it a crucial advantage. The only reason that anyone is interested in autonomy today is that the emergence of machine learning (ML) in the last 5 years probably gives us a way to make it work. Machine learning, in turn, is about extracting patterns from large amounts of data, and then matching things against those patterns. So how much data do you have?
But even if we are to all agree that autonomy is the “disruptive innovation”, it is not yet clear who will get there first. Maybe it is Tesla. Maybe it is Waymo. Regardless, many or most people seem to agree that it will arrive in 202x.
Image: Tesla