John Curtiss
Analyst · investors.progressive.com
Thank you. Thank you for having me today. So I plan to share our point of view on the growth outlook for the private passenger auto insurance market over the next 10 to 15 years. As you may recall, we stated back in 2015 that we fully expect to see real modest growth over the longer term in what was then approaching a $200 billion marketplace. In 2016, the industry was up to $215 billion in terms of direct written premium and we’re off to a good start in terms of growth this year. So the question is what do we think that the next 10 to 15 years has in store for our business. And when we look at our models and when we have internal conversations, we continue to forecast modest levels of growth in real terms for the industry over this time period. So today I’m going to share a little bit more about the 3 growth factors that Tricia discussed earlier, the fleet size, frequency and severity, and also how we’re thinking about key trends such as vehicle technology and shared mobility. But before I talk about the future, I want to talk a little bit about the past and take a quick trip down memory lane. Because as Tricia pointed out, I presented on a similar topic back in 2013. And at that point in time, I shared our framework for how we were thinking about the effect that vehicle technology could have on accident frequency. And at that time and what you can see on the screen is headlines were full of pretty aggressive claims around the timing of self-driving cars. Google was predicting them within five years for ordinary consumers, and some auto manufacturers were making similar claims. So while these predictions have not yet come into fruition, our goal was to take really an analytical approach to the problem and try to figure out how to best respond. As Tricia pointed out, when you look at frequency, there is a long history of negative trend, and this is likely driven by factors such as having safer cars, you think about the introduction of the seatbelt, antilock brakes, electronic stability control, safer roads, safer infrastructure, tighter enforcement of drunk driving, graduated licensing programs and likely many others. So based on what at that time, what we were seeing in history as well as our understanding of these new technologies, their effectiveness and the fleet penetration rates, we were actually forecasting a continued decline in frequency in the future. But reality has been really different, and our models at that point were too conservative. Whether it’s been from consumers driving more due to lower gas prices or an improved economy, or increases in distracted driving, frequency is actually increased over the last few years. So our models certainly aren’t perfect, and I guarantee you the next time we give the update, they’ll have changed again. But they are really helpful in that they guide our thinking. And I think what’s really important is that we continue to take a very disciplined view of the key trends that will shape our industry going forward. The growth and the increased investment in vehicle technology and shared mobility models, personal transportation could evolve in a variety of directions. And we are thinking about the opportunities and considerations these various segments will create for Progressive. So let’s talk about a few of the segments and I’m sure they’ll expand over time with future updates. But we continue to focus pretty heavily on the lower left-hand quadrant, those are personally owned driver driven vehicles. So all of the cars that we own today. It’s the majority of the fleet and as Tricia pointed out, our personal auto business is growing quickly and with less than 10% market share we feel really good about our growth prospects. We’re also starting to make investments in the lower right-hand quadrant, we’re referring to this as shared usage or shared ownership and driver driven. So the primary example here would be ride share. And while we estimate that this is still a pretty small segment of the overall vehicle mix, we do believe that it will continue to grow. And as you know, on the commercial line side, we do have a relationship with Uber and a pilot underway in the state of Texas, and on the personal line side, we’re modifying our policy contract to include an endorsement to be able to insure the drivers of those vehicles. The autonomous segments you see in the upper row are currently a Horizon three focus for us. And we will continue to think about how to best attack these opportunities as we learn more. So next, let me talk about these key trends from a personal auto perspective in a little bit more detail and the impact that we think it will have on the fleet size, our frequency and our severity trends. Let’s talk about the fleet size first. As Tricia pointed out, it’s been growing at about 1.3% per year over the long-term and actually a little bit more quickly in recent years. If we break that down, we do see a steady increase in the number of licensed drivers in the United States and we believe that this will continue to grow as our population expands. We’re also seeing a gradual increase in the number of registered vehicles per driver. And this is good news, not only in terms of growing the fleet size, but it also gives us indication that consumers are not giving up vehicle ownership. When we look at this from a generational perspective, there’s been a lot of discussion around whether Millennials and future generations will have a different attitude towards car ownership. But a recent report by J.D. Power indicated that Millennials are now one of the fastest growing car buying segments in the United States, and a second report by Kelly Blue Book and Auto Trader indicated that within Generation Z, the future drivers of America, 92% indicated that they plan to own a vehicle. So as a result, we generally feel good that the vehicle fleet will continue to grow at a similar rate to historical levels. But we also acknowledge that some suggest that people will forgo vehicle ownership and move more toward shared mobility models. So we are tracking some indicators to see what changes are emerging. The first metric we’ve been looking at is household vehicle ownership rate. This represents the percentage of households in the United States that indicate that they own at least 1 vehicle. This data comes from the U.S. Census Bureau’s American Community Survey. And what it shows when we compare 2009 to 2015, which is the most recent year that we have data, that ownership -- that the ownership rate at the national level is unchanged at 91.1%. We also looked at the statistic for major metropolitan areas, because this is where we believe shared mobility is most viable. And what we do see is that in some metro areas, the ownership rate is higher, while in other metropolitan areas, it’s slightly down. At this point, we’re not seeing a consistent pattern and we’re not seeing any dramatic decreases. If we do see an impact, we think it will be in the most urban areas of the United States, where the cost of vehicle ownership tends to be higher. But also keep in mind that in these areas, the aggregate vehicle ownership rate tends to be a little bit lower. So the overall impact to the entire fleet should be relatively small. We’re also looking to see if there are changes in how consumers use their vehicles. The Census Bureau also tracks how people commute. And what the graph shows is that commuting patterns are largely unchanged during this time period. And in fact, the percentage of commuters driving alone in their own vehicles has actually slightly increased across all age groups. So our general view on shared mobility at this time is that the majority of consumers will use ride share and other types of services as a supplement to owning a vehicle but not necessarily as a substitute. But we do think that ride share and these new services will continue to grow and they will continue to compete with taxis, car rentals and other forms of public transportation. Taxi medallion prices have decreased by as much as 50% in certain cities. And in others, there’s more Uber and Lyft drivers today than taxi drivers. Recent articles have also suggested that the growth in ride share is making it harder for some of the traditional car rental companies to grow. So who will ultimately win? We don’t know. But for now, these vehicles will need to be insured and therefore do create new opportunities for us, primarily in the commercial side but also in our private passenger auto business. And as I mentioned earlier, we do have a relationship with Uber and a pilot underway in Texas, and we are making some changes to our product to be able to insure these drivers. So next, let me give a quick update on vehicle technology and the potential impact on claims frequency and severity. Probably similar to all of you, I receive many alerts on this topic every day, and the headlines have a wide range of predictions on how the future could unfold. I think some believe that with the continued advancement in technology, self-driving cars are right around the corner. While others believe it’s going to be a long time to program a car to effectively drive in all the conditions and all the situations that are a reality on our roadways today. But one thing we know for certain is that investment levels are significantly growing, and whether or not we get to full autonomy, we will see more vehicles equipped with these safety technologies and it is really important for us to understand the implications on our business. From a product design perspective, from a pricing perspective and from a claims handling perspective. So let me give a quick update on what we’re seeing in terms of the evolution of these technologies, their effectiveness and fleet penetration. I’ll start with the evolution. So the chart on the screen represents the standard format for how we think about levels of automation. They range from Level 0, which is no automation, all the way up to Level 5, and that would be your fully self-driving car. So let me touch briefly on what we’re seeing at each level. Today we estimate that the vast majority, more than 95% of cars on our roads, are still at level 0. And what we are beginning to see is a gradual shift to Levels 1 and 2. Level 1 are your Driver Assist technologies. Examples of this would be auto braking or lane keeping technologies. These were first introduced back in 2006, and we estimate currently represent less than 5% of the fleet, probably closer to 1% to 2%. We do expect the mix of these vehicles to increase as auto manufacturers have agreed to make technologies like auto braking standard on new vehicles by 2022, and we’ll talk a little bit about that in the coming slides. In terms of Level 2, this is Partial Automation, and this is also beginning to emerge. This was first introduced back in 2014, with Tesla and their Autopilot. And currently represents just a really small mix of the fleet, but we’re paying close attention. We do know that General Motors is planning to introduce Super Cruise, which is a similar technology and that will be available likely later this fall on the Prestige package of their Cadillac CT6. What’s common at these levels is the driver is always responsible for operating the vehicle and monitoring the environment, so really the key requirements for success are to have really good technology, and consumer demand or consumer willingness to pay. And what research does show is that consumers are getting more comfortable with these technologies, but they will turn them off if they find them distracting. So we’re learning a lot more or want to learn a lot more around how consumers do interact with these technologies. But as you move to Level 3, Level 4, Level 5, the equation gets a lot more complex, as the driving system itself becomes responsible for monitoring the environment and operating the car. So with these levels, the deployment or the availability of these vehicles is going to be more than just about technology or consumer demand. It’s also going to require changes to our regulations, our legal code and even how we think about insurance. As algorithms become more responsible for the operation of the vehicle, need to ensure that there’s mechanisms in place to ensure data privacy and security. And some of these levels could require capabilities, like vehicle to vehicle or vehicle to infrastructure, which would be a significant investment. So today, what we’re primarily seeing here is the testing of these vehicles. And I think we’ll continue to see more testing over time, but they are not yet available for commercial sale. So just quickly at Level 3, this is Conditional Automation. Audi has recently announced plans on their A8 model to introduce a product called Traffic Jam Assist. And the way a technology like this would work is under 60 kilometers per hour on a divided highway, the vehicle could operate in autonomous mode. But outside of that mode, the driver has to be ready to take over and ensure the safe operation of the vehicle. So really the challenge at this level is how do we keep the driver engaged and how do auto manufacturers make sure that there’s an effective handoff between driver and vehicle. And I think what we’ll see at this level from what we’ve been reading about is that some auto manufacturers will pursue this level, while others might get straight to Level 4 because of some of the risks inherent with that driver vehicle handoff. So Level 4, this is High Automation. So an example of this would be the ability to drive autonomously in highway mode. And what we do here is that auto manufacturers like Honda, Toyota, Volvo, are working to be able to introduce this type of technology in the early 2020s, maybe even earlier according to Tesla. And then Level 5 finally, is the Fully Autonomous vehicle, and I don’t have specific dates on this level. Given the cost and the complexity of the technology, our current point of view is that the first applications of these types of vehicles might be in commercial settings, or maybe in ride share or self-driving taxis where the vehicles are confined to specific geofenced locations. So next, let me turn to effectiveness, and I’ll talk a little bit about frequency first. The information on this chart is from the Highway Loss Data Institute, also known as HLDI. And basically what it shows is the change in frequency for four of these new technologies. And what we’re seeing and this is very similar to our last update is that certain technologies such as auto braking and even blind spot warning do show really good evidence for reducing frequency. But one of the things that you’ll notice is that the impact does vary by coverage. For example, the decrease in frequency is more significant in property damage than a coverage like collision. And I’m showing these two coverages because this is where the industry tends to have the most credible information. But I do think you could also argue that we’re going to see a more significant reduction in an injury coverage, like bodily injury than a coverage like comprehensive. So still a lot to learn about the effect these technologies will have on the coverages that we write for insurers. Why is that? And why do we think that it could be different? And let me take auto brake as an example. This technology was designed to prevent largely rear-end accidents. And so when you look at a coverage like property damage, so this would be the vehicle that would actually be hit in an accident, a high percentage of the claims involve damage to the rear end or the side of the vehicle. And these are the exact type of accidents that this technology was designed to prevent. When you look at a coverage like collision, which would be the vehicle causing the accident, while a good percentage of the damage to those vehicles involves the front of the vehicle, it also includes scenarios such as backing into a pole or sliding off the road because of ice. And in these types of situations, the technology will not be as effective in preventing the accident. So therefore the impact might be lower. The other thing that I would just highlight is these technologies are often sold in packages. And so one of the challenges is to understand the effectiveness of each individual technology. And they might not be additive because they might be helping to avoid the same types of accidents. So we’re working really hard not only with our own data, information from HLDI, but we’re also working with third-party data to really try to understand the specific technologies that are on vehicles and which ones show the most promise in reducing frequency so we can incorporate them into our pricing. So next, let me talk a little bit about severity. And before I get into the details, I do want to highlight that some of this data is not credible and those cells have been marked with an asterisk. But where the data is credible, what we generally see is that severity is slightly higher on the damage coverages. And I think that makes sense. We would expect a higher cost to repair due to the additional technologies placed on the vehicle. When we look at some of the claims data, we are starting to observe above average inflation rates for replacement cameras, sensors and headlights. And we do think that more OEMs may actually begin to start to require scans to certify that these replacement parts are working properly. And that can add $200 to $300 for a claim. The other question that’s out there is whether accidents will be less severe with vehicles equipped with these technologies, both on the damage side and on the injury side. And to be honest we don’t have a good answer to that yet, and it’s something that we’re going to have to further understand as we get more experience with writing and handling claims for these types of vehicles. So what are we doing? So today, we’re making some pricing adjustments for certain technologies, like auto braking where we can confirm that the technology is on the vehicle. And we do have plans to implement a new product feature in future model releases that will allow us to expand our ability to segment for more technologies over time, as we get more data and we get more comfortable with the results of the data. So last, let me talk a little bit about penetration. And similar to our last update, we continue to see slower penetration for technologies such as Ford Collision Avoidance. When we compare them to prior technologies like electronic stability control or antilock brakes or even side impact airbags. I think when you compare these new technologies to the prior ones, they tend to be more complex because you’re actually trying to design something that is going to steer a vehicle or potentially stop or accelerate a vehicle, therefore they are a little bit higher risk and more expensive. So therefore, they typically start out as optional features on luxury models or higher end trims. And it’s actually taken well over 10 years for auto manufacturers to agree to make a technology like auto braking standard on new vehicles. And so as a result, the penetration curve starts out slowly, but in this case, will start to increase pretty rapidly as the technology does become standard on more cars. But it will still be quite some time until we get to a point where the fleet penetration rate is at 50%, much less full penetration. So how does that affect our frequency trend, because that’s really the key input that goes into how we think about pricing. And so if these technologies continue to penetrate at historic rates, the impact on our annual frequency trend will be relatively gradual. And so let me give you a hypothetical example. Let’s assume there’s a technology that can ultimately reduce frequency by 15% when fully deployed. And based on our experience with prior technologies, it might penetrate the fleet by less than 5% in the first 10 years. Then ramp up close to 50% within 20 years, and ultimately approach 100%, let’s say in 35, 40 or 45 years. So based on these assumptions, the impact to our annual trend would be relatively small, maybe 0.5% per year. And it would clearly vary based on where we are in the curve. So we spend a lot of time trying to understand not only the effectiveness of the technology but also the penetration rates. So a big question is, is what’s going to happen in the future? And will future technologies penetrate the fleet more or less quickly? And there are really many considerations here. The first thing we have to look at is the fleet turnover rate in general. So the average age of the vehicle on the roads today is up to 11.6 years. And this is two years higher than the average back in 2002. So that will be one force at play, another one would be the pace of technological advancement, how quickly can auto manufacturers get either new technologies on cars, or find better ways to use the existing technologies in their fleet. Also the cost of the technology and consumer demand will continue to be very critical. I was reading an article the other day from a CEO for one of the auto manufacturers, that indicated that autonomous highway mode might initially start out as like a $10,000 enhancement. And so that could be a really good solution in the luxury car market. As an auto insurer, what we really track is how quickly will these types of technologies not only be available on these luxury models but also start to be available on the models where there’s kind of the highest demand or represents the largest percentage of the fleet. So monitoring how quickly these technologies go from optional to standard is also a really significant consideration. And then lastly, as we talked about before is, as we move to Level 3 and Levels 4 and Levels 5, and the driving system starts to take over, there are all the issues around legal, regulations, how we approach insurance, data security and privacy, which will all be also considerations that we’ll need to think about in terms of how quickly these technologies penetrate the fleet. So as we pull all this together, there are clearly many possible scenarios, and the level of certainty around our forecast decreases as we look farther into the future. And I also want to acknowledge that there have been periods of time, such as after 2006 when we went through the recession, where the industry did not grow in real terms. And this could happen again. Our models don’t necessarily take into account hard markets and soft markets and changes in macroeconomic conditions. But based on the information that we discuss today and our internal discussions, we do see modest growth potential in real terms for the industry over the next 10 to 15 years. In terms of the fleet, our guess right now is we expect to continue to see slow growth with minimal impact from shared mobility except for maybe in the most urban areas of the United States. In terms of frequency, even though my predictions last time were off, I do think that these technologies will continue to gradually penetrate the fleet and put downward pressure on frequency trend over time. And generally with respect to severity, our current thinking is that trends will continue to outpace inflation. So the graph represents the range of outcomes as we look at scenarios, and we feel more comfortable with the dark shaded area than the light shaded area on the cone that you see in that graph. So in summary, I’d also like to re-highlight some of the actions that we’re taking in our personal auto business to address these trends. And in terms of pricing, we do continue to roll out our product and underwriting models and we’re seeing good results. We’ve begun taking some pricing actions for certain safety technologies. And as I mentioned earlier, we plan to introduce new product features that will allow us to expand our segmentation over time. We’re also working a lot with external data, so we can try to collect more detailed information on vehicles, so we can better identify the specific technologies that are the most effective in terms of affecting our loss costs. We want to continue to lead in the UBI space. As Tricia mentioned, we’re in the process of expanding our mobile product to more states. We are doing some work on distracted driving to see if there are new variables that we can include in our scoring algorithm. We’re also testing ways to potentially provide better feedback to consumers, to help them become safer drivers. And we’re evaluating ways to identify more third-party data opportunities so we can expand the footprint of our Snapshot product, because we understand how important that segmentation is to our results. We continue to roll out our endorsement to support the drivers who work for transportation network companies and perhaps most importantly, we want to be able to continue to stay nimble and agile so we can respond to opportunities as they arise. So that’s all that I have for today. Thank you very much for your time. And now I will hand it back over to Tricia.