WEBVTT - The 2016 Car Swoon Is Turning Into a Skid in 2017, Tynan Says

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<v Speaker 1>Welcome to the Bloomberg P and L Podcast. I'm pim Fox.

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<v Speaker 1>Along with my co host Lisa Abramowitz. Each day we

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<v Speaker 1>bring you the most important, noteworthy, and useful interviews for

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<v Speaker 1>you and your money, whether at the grocery store or

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<v Speaker 1>the trading floor. Find the Bloomberg P L Podcast on iTunes,

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<v Speaker 1>SoundCloud and at Bloomberg dot com. There might be a

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<v Speaker 1>snow jump coming to the East Coast, but there is

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<v Speaker 1>a dump of bad news coming for the auto industry.

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<v Speaker 1>You have uh the U S subprime auto lenders losing

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<v Speaker 1>the most money on car loans at the highest rate

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<v Speaker 1>since the aftermath of the two thousand and eight financial crisis.

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<v Speaker 1>And Kevin Tynan, Bloomberg Intelligence automobile analyst for North America,

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<v Speaker 1>put out a report today saying as bad as two

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<v Speaker 1>thousand and sixteen looked for car sales, two thousand and

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<v Speaker 1>seventeen starting off worse. Let's bring him in, Kevin. We

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<v Speaker 1>appreciate you joining us, and you have this fantastic statistic

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<v Speaker 1>that cars accounted for just thirty nine percent of total

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<v Speaker 1>US sales, the lowest percentage in history. But that might

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<v Speaker 1>not not be as bad as it gets, right, Oh No,

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<v Speaker 1>it's it's definitely going to get worse. Um And I

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<v Speaker 1>think what is different now. Historically what you would see

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<v Speaker 1>is demand cycle in and out of cars to trucks

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<v Speaker 1>and back and forth, and um in some inventory adjustment

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<v Speaker 1>with incentive spending, and then everything sort of levels out.

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<v Speaker 1>And what different this time is that the and and

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<v Speaker 1>this was the sort of crux of the piece, was

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<v Speaker 1>that the revenue generating segments are all trucks, the top

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<v Speaker 1>three or trucks and really pushing cars further and further

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<v Speaker 1>down the list. And why it's different this time is

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<v Speaker 1>because the automakers see where that revenue is being generated

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<v Speaker 1>and are actively unwinding their car positions, understanding that these

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<v Speaker 1>segments they're going to continue to shrink and shrink and shrink,

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<v Speaker 1>and they will align supply with demand which will be

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<v Speaker 1>much lower. So rather than waiting for it to come back,

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<v Speaker 1>they're actively getting out of those those segments, and it

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<v Speaker 1>will make it impossible for cars to ever recover, regardless

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<v Speaker 1>of gas lean prices. Kevin has the automobile industry ever

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<v Speaker 1>embarked on a similar strategy and found it to be

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<v Speaker 1>wanting um no uh in the sense that we've I

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<v Speaker 1>think what's happening Wednesday with cafe rules and and that

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<v Speaker 1>I tell people about this because this is very important

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<v Speaker 1>to the overall disposition of an automaker's fleet, and it's

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<v Speaker 1>related to how many miles per gallon the fleet has

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<v Speaker 1>to get right and arguably, and if you look at

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<v Speaker 1>some of the some of the graphs in the US

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<v Speaker 1>in North America, we've always wanted to buy trucks. There's

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<v Speaker 1>a period between the two recessions that truck sales spiked

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<v Speaker 1>as well, and that's the two times that that car

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<v Speaker 1>car sales recovered were cash for clunkers. Uh and then

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<v Speaker 1>when guest Lee went above four dollars a gallon in

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<v Speaker 1>two thousand and eight. Uh. So we've always wanted to

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<v Speaker 1>buy trucks, but this, this corporate average fuel economy standard

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<v Speaker 1>has had sort of affecting the supply side of the equation.

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<v Speaker 1>Telent automakers, you have to build these things to be

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<v Speaker 1>compliant with these rules, whether or not the consumer wants

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<v Speaker 1>them or not. And I think that's where we're in

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<v Speaker 1>new territory that says those rules didn't really take into

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<v Speaker 1>account the consumer. All all the onus was on the manufacturers.

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<v Speaker 1>Now with production and the administration saying we want you

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<v Speaker 1>to produce in the US. I think the automakers are

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<v Speaker 1>going back to President Trump and saying, we will produce

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<v Speaker 1>in the US, but it has to be trucks. If

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<v Speaker 1>it's going to be trucks, you have to help us

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<v Speaker 1>on the cafe side. Well, so just to give us

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<v Speaker 1>a little bit of perspective here, how much more expensive

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<v Speaker 1>on average our trucks and cars? Well, if you look

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<v Speaker 1>at it segment by segment, and I'll just take for example,

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<v Speaker 1>the largest truck segment by volume, not by not by revenue,

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<v Speaker 1>but by volume, is compact crossover SUVs. The largest car

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<v Speaker 1>segment is compact car. So those two line up pretty nicely. Um,

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<v Speaker 1>the difference in retail revenue is about six thousand dollars

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<v Speaker 1>between the two. So you'd be in the low twenties

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<v Speaker 1>for your average compact car. You'd be in the mid

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<v Speaker 1>to upper twenties for your average compact crossover. And I

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<v Speaker 1>wanted to get back to the whole idea of subprime

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<v Speaker 1>auto loans. Is there an equal proportion of subprime auto

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<v Speaker 1>loans for people to buy trucks as well as cars.

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<v Speaker 1>Is it more directed toward cars. I'm just basically trying

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<v Speaker 1>to figure out, you know, because potentially that could mean

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<v Speaker 1>that the losses are that much greater on the trucks

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<v Speaker 1>if somebody is not able to pay. Correct. Yeah, it

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<v Speaker 1>would be because those transaction prices are higher. And really,

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<v Speaker 1>I think what you're seeing when you look at the

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<v Speaker 1>average retail transaction price in the US, it's continually going

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<v Speaker 1>up because of this mixed shift. But at the same time,

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<v Speaker 1>it's also why we're seeing a lot of lease penet

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<v Speaker 1>ration because it creates affordability. So what you have is

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<v Speaker 1>this subprime is pulling new buyers into the market, whether

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<v Speaker 1>that's lower credit ratings, whether that's longer terms, uh, you know,

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<v Speaker 1>bigger down payments, or however you have to get that

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<v Speaker 1>consumer to that monthly payment that they can afford, because

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<v Speaker 1>that's really how we buy vehicles in the US. So

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<v Speaker 1>if leasing makes more sense, we'll just we'll basically rent

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<v Speaker 1>you the car for part of the term and get

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<v Speaker 1>you to that number that makes sense to you. So

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<v Speaker 1>so there's a lot of different ways that that the

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<v Speaker 1>lenders and the automakers are getting people off the sidelines

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<v Speaker 1>and into vehicles, and it's resulting in higher prices. A

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<v Speaker 1>shift from into luxury entry luxury more so than we

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<v Speaker 1>had seen historically. But there's a lot of risk associated

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<v Speaker 1>with that as well. Well. As much as I will

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<v Speaker 1>miss my you know, the nine nine Chevrolet Camaro with

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<v Speaker 1>the zero one engine, I'm sorry, Kenneth, I'm not going

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<v Speaker 1>to Kevin, I'm not gonna be able to, uh, you know,

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<v Speaker 1>sort of look at it anymore with those feelings because

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<v Speaker 1>everything will have disappeared, at least in that segment category.

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<v Speaker 1>So who's so who and where are the people who

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<v Speaker 1>are going to make up the difference who are going

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<v Speaker 1>to actually continue that tradition. And then I want you

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<v Speaker 1>to just give your thoughts about US auto companies maybe

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<v Speaker 1>doing cars outside the United States, right, And let me

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<v Speaker 1>just say, I think in one of the areas on

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<v Speaker 1>the car side that I think is reasonably protect protected

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<v Speaker 1>is is that performance segment. And you look at uh,

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<v Speaker 1>you know, Tim kneskis at at Chrysler, who's a maniac

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<v Speaker 1>in a good way, you know, and you have hell

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<v Speaker 1>cats and demons. And I'm glad because I was, you know,

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<v Speaker 1>I was looking at a seventeen Camaro to SS you know,

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<v Speaker 1>the fiftieth anniversary edition. Yeah, those I think you're okay there.

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<v Speaker 1>I think that that the performance stuff and even if

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<v Speaker 1>you look at Cadillac, the V series stuff, and even

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<v Speaker 1>in the luxury segments, I think performances is a little

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<v Speaker 1>bit protected. People will always want that and the physics

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<v Speaker 1>just don't work as well in trucks. So there, I

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<v Speaker 1>think you're okay. I think it's it's the garden variety,

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<v Speaker 1>the sort of commodity cars. How about the Lincoln in China. Yeah,

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<v Speaker 1>you know, And I think that that markets outside of

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<v Speaker 1>the US will adjust to things and taste are a

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<v Speaker 1>little bit different. Whether it's weather, congestion, there's issues that

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<v Speaker 1>go into it to what the consumer prefers. But we're

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<v Speaker 1>also seeing globally, even in Europe, we're seeing a mixed

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<v Speaker 1>shift to trucks because we can do more with fuel economy, lightweighting.

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<v Speaker 1>We're getting better driving dynamics out of truck bodies than

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<v Speaker 1>we than we ever have, and it's it's helping shift

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<v Speaker 1>away from cars to trucks. Thanks very much for illuminating

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<v Speaker 1>all this force and talking cars. Kevin Tynan. He's our

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<v Speaker 1>senior a senior auto's analyst for Bloomberg Intelligence, and you

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<v Speaker 1>can follow him on Twitter at keV Tynan Ten, Lisa Abrams.

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<v Speaker 1>We've been learning a lot about artificial intelligence robots. You know,

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<v Speaker 1>I think that three D printing can also be included

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<v Speaker 1>in that particular list. Because there is a huge conference

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<v Speaker 1>that is going to take place beginning tomorrow at the

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<v Speaker 1>Javits Center, and it is inside three D printing. It's

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<v Speaker 1>the conference and the expo. It's got thirty eight events.

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<v Speaker 1>It's the largest event worldwide. And get this the presentation.

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<v Speaker 1>One of them is by Dr Orn Temper and he

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<v Speaker 1>uses three D printing in plastic and reconstructive surgery. Let's

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<v Speaker 1>learn more about all of these things. We want to

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<v Speaker 1>bring in Tyler Benster, general partner at Asimov Ventures in Seattle, Washington.

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<v Speaker 1>Also Samil Hargovn, co founder and CEO of We've spelled

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<v Speaker 1>w I I VV might not be exactly intuitive in

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<v Speaker 1>San Diego, California. So Tyler, I want to start with you,

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<v Speaker 1>what do you think is going to be the hottest

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<v Speaker 1>development at this three D printing conference this year? So

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<v Speaker 1>it's a really exciting year for three D printing. We've

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<v Speaker 1>been saying for a long time in industry, how three

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<v Speaker 1>D printing is going to go mainstream and key where

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<v Speaker 1>they're going to and I think Seen is the year

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<v Speaker 1>where we actually are seeing this happen. So we have

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<v Speaker 1>a few new developments. UM on the medical side has

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<v Speaker 1>highlighted earlier with dr Orn incredible new developments going on

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<v Speaker 1>in implants, orthopedic game plants, companies like added to orthopedics.

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<v Speaker 1>We have a wonderful new technologies that are allowing doctors

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<v Speaker 1>to literally save lives and separate can join twins bas

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<v Speaker 1>surgical planning and actual surgical cutting guides. And then we

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<v Speaker 1>have this whole new movement in medals where we're finally

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<v Speaker 1>starting to see this transition from three D printing is

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<v Speaker 1>a prototyping technology to want to finished good production. And

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<v Speaker 1>I know that we're really delighted to have Shamille on

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<v Speaker 1>here with us who has really been actually practicing finish

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<v Speaker 1>kid production in the flesh. I got a note that Shamil,

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<v Speaker 1>before you answer to the details of Weave, is that

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<v Speaker 1>you are the company. You're the CEO of the startup

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<v Speaker 1>company we've and you're trying to make it happen, and

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<v Speaker 1>you're wearing the suit. And Tyler, who happens to just

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<v Speaker 1>work at Asithma benches as a partner, he's the money guy.

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<v Speaker 1>He is wearing this Stanford hoodie. I mean, the contrast

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<v Speaker 1>cannot be better for for the setup. So I think

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<v Speaker 1>you you're on the bright path. Well, it's not every

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<v Speaker 1>day a startup CEO like me gets to get pulled

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<v Speaker 1>up to New York to give this conversation. Well, I

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<v Speaker 1>was going to say to you raised over five million

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<v Speaker 1>dollars in a series A financing just recently, right, Yes, sir,

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<v Speaker 1>all right, tell us what you're gonna do with the money.

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<v Speaker 1>And you've brought some things along, custom fit three D

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<v Speaker 1>printed insoles. Yes, yes, we are what I would say

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<v Speaker 1>actually doing it today, which is manufacturing in America three

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<v Speaker 1>D printed final product. And specifically we're working with custom

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<v Speaker 1>footwear which you order by measuring your feet using your smartphone,

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<v Speaker 1>and from there we are able to say into your

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<v Speaker 1>product in under seven days. And what I'm here to

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<v Speaker 1>tell you is for the footwear and apparel industry, like

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<v Speaker 1>like many other industries, made in America, is starting to

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<v Speaker 1>make business sense again in order to offer consumers that

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<v Speaker 1>kinds of products that they expect and want. Can I

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<v Speaker 1>can I just ask Shamille, what's the difference between a

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<v Speaker 1>machine that is automated and you know, just that's maybe

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<v Speaker 1>directed by one person somewhere at least overseen, which we've

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<v Speaker 1>seen for years. And three D printing, Yeah, and three

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<v Speaker 1>D printing it essentially allows you to take the complexity

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<v Speaker 1>away from the human uh and and and it digitally

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<v Speaker 1>is able to make the complex custom parts of products

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<v Speaker 1>that you need. And what we do is we marry

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<v Speaker 1>that with with sort of traditional manufacturing to make what

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<v Speaker 1>we called hybrid products. Okay, and then Tyler, I wanted

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<v Speaker 1>to ask you. You you talked about how this is

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<v Speaker 1>the year that three D printing is going to go mainstream.

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<v Speaker 1>What gives you confidence to say that? Well, I think

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<v Speaker 1>if we trace where the investment in R and D

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<v Speaker 1>has been going into we've seen an explosion on the

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<v Speaker 1>venture capital side. In sixteen, we had more than a

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<v Speaker 1>quarter billion dollars flow into startups UM, which was really

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<v Speaker 1>outstripping the public markets for the first time. UM. We

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<v Speaker 1>also have seen an incredible increase in M and a

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<v Speaker 1>activity of d E snatching up to the largest metal

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<v Speaker 1>companies UM. We've seen a large uptick in investments in

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<v Speaker 1>that sector. And I think that we're starting to see

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<v Speaker 1>this growth really being driven by the bottom up. If

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<v Speaker 1>we look at what's happening like with Stratesis is outlook

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<v Speaker 1>for seen and the public markets reaction, I think that

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<v Speaker 1>the markets are in agreement that a lot of this

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<v Speaker 1>growth is being driven by the small disruptive players that

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<v Speaker 1>are moving quickly. Well, you mentioned Stratusis, and I mean, boy,

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<v Speaker 1>if you're an investor in Stratusists, you have watched it

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<v Speaker 1>move high and then move low. And in fact, they

0:12:47.280 --> 0:12:49.280
<v Speaker 1>just released their results I guess it was on March

0:12:49.360 --> 0:12:52.520
<v Speaker 1>the seventh, and while the results were great for the

0:12:52.600 --> 0:12:56.240
<v Speaker 1>previous time period, their guidance and you know they were

0:12:56.280 --> 0:12:58.120
<v Speaker 1>not giving the kind of guidance any of the stock

0:12:58.240 --> 0:13:01.000
<v Speaker 1>ended up down about nine percent just that particular day.

0:13:01.040 --> 0:13:04.160
<v Speaker 1>So it's been rough going for them. Uh, Shamille, I

0:13:04.240 --> 0:13:06.240
<v Speaker 1>want you to just talk a little bit about your

0:13:06.280 --> 0:13:10.079
<v Speaker 1>background because this was a kickstarter campaign, right, I mean

0:13:10.120 --> 0:13:13.160
<v Speaker 1>that's how it all started. And now what you've managed

0:13:13.200 --> 0:13:16.360
<v Speaker 1>to purchase the Souls I love this e Souls is

0:13:16.400 --> 0:13:20.959
<v Speaker 1>a company that has a database of foot scans. Tell

0:13:21.040 --> 0:13:24.720
<v Speaker 1>us what that gives you? Yeah? Absolutely? Uh, you know,

0:13:24.880 --> 0:13:27.720
<v Speaker 1>to really build out this vision. What we're seeing in

0:13:27.720 --> 0:13:30.480
<v Speaker 1>the market is the big players like Apple Intel and

0:13:30.559 --> 0:13:34.480
<v Speaker 1>Google are spending Microsoft included are spending hundreds of millions

0:13:34.520 --> 0:13:36.839
<v Speaker 1>and dollars and three D scan and they're gonna bring

0:13:36.880 --> 0:13:39.440
<v Speaker 1>this to your phone very soon. And then you've got

0:13:39.520 --> 0:13:42.800
<v Speaker 1>Carbon and Hewlett Packard and Stratusis and three D systems

0:13:42.800 --> 0:13:46.160
<v Speaker 1>working on the printer engines. Now why this Soul's acquisition

0:13:46.160 --> 0:13:48.600
<v Speaker 1>was important for us? Is it meant that we now

0:13:48.679 --> 0:13:51.680
<v Speaker 1>have a bigger database of three D scans that we

0:13:51.720 --> 0:13:54.880
<v Speaker 1>can feed to train our technology to take that scan

0:13:55.000 --> 0:13:58.640
<v Speaker 1>and turn it into an STV STL file more efficiently.

0:13:58.640 --> 0:14:01.559
<v Speaker 1>That's the file format most pree in three D printing today.

0:14:01.679 --> 0:14:05.400
<v Speaker 1>And so that's really more new that fifty thousand scans

0:14:05.440 --> 0:14:07.959
<v Speaker 1>of three D scans of your feet would be worth

0:14:08.000 --> 0:14:10.600
<v Speaker 1>that much on it Well, well, Tyler, though, I wanted

0:14:10.640 --> 0:14:12.480
<v Speaker 1>to ask that that brings me to the next question,

0:14:12.520 --> 0:14:15.439
<v Speaker 1>which is where does the real money lie. Is it

0:14:15.559 --> 0:14:19.080
<v Speaker 1>in the programming behind the three D printers? Is it

0:14:19.200 --> 0:14:22.560
<v Speaker 1>in the actual machines that can take the technology and

0:14:22.600 --> 0:14:25.160
<v Speaker 1>make it into uh, make it into action? Where does

0:14:25.160 --> 0:14:28.320
<v Speaker 1>it go? So today it's very much on the material side.

0:14:28.360 --> 0:14:30.320
<v Speaker 1>It's the razor razor blades model, where if you look

0:14:30.320 --> 0:14:33.120
<v Speaker 1>at the margins and industry. We see margins as high

0:14:33.160 --> 0:14:35.760
<v Speaker 1>as a thousand percent on the raw feedstock, which is

0:14:35.800 --> 0:14:39.440
<v Speaker 1>pretty incredible considering most manufacturing margins. However, I think in

0:14:39.480 --> 0:14:41.640
<v Speaker 1>the long term, as the patent landscape has started to

0:14:41.680 --> 0:14:44.600
<v Speaker 1>shake out in competition has really increased, we're going to

0:14:44.600 --> 0:14:47.560
<v Speaker 1>see the long term margins on three D printing drop

0:14:47.640 --> 0:14:50.800
<v Speaker 1>to about two to three, which is the manufacturing standard.

0:14:51.200 --> 0:14:53.280
<v Speaker 1>I think that much of the VIA will be captured,

0:14:53.320 --> 0:14:56.320
<v Speaker 1>as we've seen in electronics, by the design. So companies

0:14:56.360 --> 0:14:58.320
<v Speaker 1>are really going to be able to command high premium

0:14:58.520 --> 0:15:01.960
<v Speaker 1>if they have a proprietary sort vertically integrated, and end

0:15:01.960 --> 0:15:05.640
<v Speaker 1>experience that is really i P driven design. If I

0:15:05.680 --> 0:15:08.440
<v Speaker 1>may just echo what Tyler said, you know, one thing

0:15:08.480 --> 0:15:12.120
<v Speaker 1>hasn't changed, making a product that people want and then

0:15:12.200 --> 0:15:15.760
<v Speaker 1>marketing that product that that hasn't changed fundamentally. So for

0:15:15.880 --> 0:15:18.520
<v Speaker 1>us as we've we've even learned that as we've gone

0:15:18.520 --> 0:15:20.880
<v Speaker 1>about what we're doing. It was one thing to figure

0:15:20.920 --> 0:15:22.920
<v Speaker 1>out the technology, but it was another thing to build

0:15:22.960 --> 0:15:25.080
<v Speaker 1>the market and have people realize you can actually get

0:15:25.120 --> 0:15:27.760
<v Speaker 1>these end products. And so having the brand in the

0:15:27.640 --> 0:15:30.880
<v Speaker 1>in the market and having a product people want is key.

0:15:30.880 --> 0:15:33.040
<v Speaker 1>Thank you so much for joining us. This is really interesting.

0:15:33.400 --> 0:15:36.920
<v Speaker 1>Tyler Benster, general partner at Asthma Ventures in Seattle, Washington.

0:15:37.040 --> 0:15:39.040
<v Speaker 1>Here with us in our Bloomberg eleven three studio. Also

0:15:39.040 --> 0:15:42.480
<v Speaker 1>with us Shamil Hargovan, co founder and CEO of We've

0:15:42.600 --> 0:15:58.440
<v Speaker 1>in San Diego, California. I am so excited about our

0:15:59.080 --> 0:16:02.360
<v Speaker 1>next guest. He is a long time UH person who

0:16:02.360 --> 0:16:05.440
<v Speaker 1>I have looked up to tremendously cast Sunseen Harvard Professor,

0:16:05.760 --> 0:16:11.120
<v Speaker 1>Bloomberg View contributor and author of hashtag Republic, Divided Democracy

0:16:11.240 --> 0:16:14.120
<v Speaker 1>in the Age of Social Media. UH. He comes to

0:16:14.200 --> 0:16:16.480
<v Speaker 1>us now casts. Thank you so much for joining us UH.

0:16:16.920 --> 0:16:20.080
<v Speaker 1>This the premise of this book is fascinating that basically

0:16:20.360 --> 0:16:23.960
<v Speaker 1>the new challenge to democracy is the way that increasing

0:16:24.000 --> 0:16:26.160
<v Speaker 1>technology is allowing people to sort of live in their

0:16:26.160 --> 0:16:28.440
<v Speaker 1>own bubbles without getting exposure to one another. Can you

0:16:28.440 --> 0:16:31.320
<v Speaker 1>explain what drew you to this and and how severe

0:16:31.760 --> 0:16:35.440
<v Speaker 1>this problem was as you found? Well, I guess I've

0:16:35.440 --> 0:16:37.880
<v Speaker 1>been drawn to it since the beginning of the Internet,

0:16:37.880 --> 0:16:41.560
<v Speaker 1>when you could see that the UH capacity for people

0:16:41.600 --> 0:16:44.960
<v Speaker 1>to sort themselves and little kind of mirrors where they're

0:16:45.000 --> 0:16:48.600
<v Speaker 1>just looking at mirrors of oneself or people who have

0:16:48.640 --> 0:16:53.200
<v Speaker 1>the same view as oneself at least, that capacity just skyrocketed.

0:16:53.680 --> 0:16:57.000
<v Speaker 1>And in the recent past we've seen it in the elections,

0:16:57.000 --> 0:16:59.960
<v Speaker 1>of course, but also in political discussion that would say

0:17:00.000 --> 0:17:02.800
<v Speaker 1>spook and Twitter. And of course, with your ability to

0:17:03.240 --> 0:17:07.600
<v Speaker 1>just scoot from one congenial view to another, you can

0:17:07.680 --> 0:17:10.679
<v Speaker 1>just hear topics and points of view that make you

0:17:10.720 --> 0:17:13.560
<v Speaker 1>feel like you're in a cozy little cocoon. And that's

0:17:14.000 --> 0:17:18.560
<v Speaker 1>uh comforting cocoons are, but it's also a form of

0:17:18.560 --> 0:17:21.760
<v Speaker 1>prison for individuals and for democracy. It's it's a danger,

0:17:22.960 --> 0:17:25.240
<v Speaker 1>uh ms Sunstein. I wonder if you could just give

0:17:25.280 --> 0:17:28.240
<v Speaker 1>us a little bit of your historical perspective, because I

0:17:28.280 --> 0:17:30.480
<v Speaker 1>note that you know, in September two thousand nine, you

0:17:30.520 --> 0:17:34.440
<v Speaker 1>were confirmed as the director of the White House omb

0:17:34.600 --> 0:17:39.840
<v Speaker 1>Office of Information and Regulatory Affairs. Uh. This is an

0:17:39.840 --> 0:17:44.360
<v Speaker 1>important agency, and I'm wondering if you could just describe

0:17:44.400 --> 0:17:48.120
<v Speaker 1>its work and what you see happening to the current

0:17:49.160 --> 0:17:52.520
<v Speaker 1>Office of Information and Regulatory Affairs. And as much as

0:17:52.920 --> 0:17:57.080
<v Speaker 1>President Donald Trump has asked for agency wide reviews to

0:17:57.160 --> 0:18:00.560
<v Speaker 1>reduce regulations, sure so the goal of the office, which

0:18:00.600 --> 0:18:04.960
<v Speaker 1>goes back to President Reagan, is to oversee environmental regulation,

0:18:05.160 --> 0:18:09.120
<v Speaker 1>safety regulation, labor health, lots of stuff, including some national

0:18:09.200 --> 0:18:12.520
<v Speaker 1>security stuff, and to make sure basically it's consistent with

0:18:12.560 --> 0:18:15.800
<v Speaker 1>the law that the costs are under control and the

0:18:15.800 --> 0:18:19.879
<v Speaker 1>benefits justify the costs. So it's not the most visible office,

0:18:19.960 --> 0:18:22.200
<v Speaker 1>but it is an office that has a pretty central

0:18:22.359 --> 0:18:25.960
<v Speaker 1>role in affecting things that affect people every day. UM.

0:18:26.160 --> 0:18:29.320
<v Speaker 1>Under President Trump, it could go in two different directions

0:18:29.359 --> 0:18:32.320
<v Speaker 1>where still at early days, UH, there's some signs of

0:18:33.320 --> 0:18:37.439
<v Speaker 1>kind of making sure that if we're going to be

0:18:37.480 --> 0:18:41.879
<v Speaker 1>issuing new regulations in an economically challenging time, they really

0:18:42.200 --> 0:18:46.760
<v Speaker 1>survive some sort of hurdle of justification. And that's accompanied

0:18:46.760 --> 0:18:48.919
<v Speaker 1>by an idea if you're going to issue one, you

0:18:48.960 --> 0:18:52.440
<v Speaker 1>have to get rid of too. Now, in principle that's

0:18:52.440 --> 0:18:54.959
<v Speaker 1>not the best idea in the world, because you may

0:18:55.000 --> 0:18:57.159
<v Speaker 1>have one good one and not too bad ones to

0:18:57.200 --> 0:19:00.840
<v Speaker 1>get rid of. But in practice, UH, the people in

0:19:00.880 --> 0:19:03.440
<v Speaker 1>the Office of Information Regulatory Affairs, I think they can

0:19:03.440 --> 0:19:06.119
<v Speaker 1>make it work, certainly for a year or two. So

0:19:06.200 --> 0:19:09.000
<v Speaker 1>one direction is just have a lot of discipline about

0:19:09.119 --> 0:19:12.680
<v Speaker 1>new regulations going out. UH. And I would favor that

0:19:12.680 --> 0:19:15.480
<v Speaker 1>that's continuous with a lot of things I've worked on

0:19:15.560 --> 0:19:18.760
<v Speaker 1>when I was there, and Another direction, which isn't so

0:19:18.800 --> 0:19:21.560
<v Speaker 1>good is what has been referred to as the deconstruction

0:19:21.560 --> 0:19:24.720
<v Speaker 1>of the administrative state. Probably some people nod their heads

0:19:24.760 --> 0:19:26.480
<v Speaker 1>when they hear that word, even though it comes from

0:19:26.480 --> 0:19:29.480
<v Speaker 1>a French literary theorist who, Uh, the critics of the

0:19:29.520 --> 0:19:33.560
<v Speaker 1>administrative state don't like so much the French literary people. Um,

0:19:33.600 --> 0:19:35.920
<v Speaker 1>but I think nodding the head isn't a very good

0:19:35.960 --> 0:19:40.679
<v Speaker 1>idea because there's UH safety regulation that prevent deaths on

0:19:40.720 --> 0:19:43.960
<v Speaker 1>the highways, their safety regulation that make sure our food

0:19:44.040 --> 0:19:47.320
<v Speaker 1>is safe, and there's UH safety regulation that makes sure

0:19:47.400 --> 0:19:50.040
<v Speaker 1>that our error is clean to breathe, and deconstruction of

0:19:50.040 --> 0:19:52.920
<v Speaker 1>the administrative state wouldn't be the best idea. So there's

0:19:52.960 --> 0:19:55.879
<v Speaker 1>a long way of saying, Uh, Trump administration could go

0:19:55.960 --> 0:19:58.680
<v Speaker 1>in one of two directions, and the first direction isn't

0:19:58.680 --> 0:20:01.320
<v Speaker 1>so bad. You know. I want to go back to

0:20:01.359 --> 0:20:03.720
<v Speaker 1>the point that you're making about people sort of seeing

0:20:04.680 --> 0:20:07.520
<v Speaker 1>themselves in mirrors or seeing their ideas just in mirrors,

0:20:07.640 --> 0:20:10.480
<v Speaker 1>and how that, I mean arguably has dictated what we

0:20:10.520 --> 0:20:13.200
<v Speaker 1>are seeing right now in the current political cycle. Uh

0:20:13.240 --> 0:20:17.719
<v Speaker 1>that's my extrapolation, not necessarily yours, but uh, but I'm

0:20:17.760 --> 0:20:21.000
<v Speaker 1>wondering how much are you seeing that in academia, because

0:20:21.200 --> 0:20:25.400
<v Speaker 1>you know what people think of uh institutions, academic institutions

0:20:25.400 --> 0:20:28.439
<v Speaker 1>being a bastion of of thought and in conversation. But

0:20:28.480 --> 0:20:31.160
<v Speaker 1>often there isn't a lot of diversity of views even

0:20:31.200 --> 0:20:34.440
<v Speaker 1>among the professors. Well, I don't see a whole lot

0:20:34.480 --> 0:20:37.119
<v Speaker 1>in academia, I confess, but that this may be my

0:20:37.200 --> 0:20:39.399
<v Speaker 1>limited travels. So I spent a long time at the

0:20:39.440 --> 0:20:42.200
<v Speaker 1>University of Chicago, and if you go through a day

0:20:42.240 --> 0:20:45.760
<v Speaker 1>without hearing twenty different views, you're probably just staying in

0:20:45.760 --> 0:20:50.680
<v Speaker 1>your office. UH. And the universities, even though they're often

0:20:50.720 --> 0:20:55.480
<v Speaker 1>reputed to be echo chamber areas, UM my own experience,

0:20:55.520 --> 0:20:58.359
<v Speaker 1>as I say, is as they just aren't. So some

0:20:58.440 --> 0:21:00.359
<v Speaker 1>of the places that are supposed to be left the

0:21:00.400 --> 0:21:03.720
<v Speaker 1>center and kind of Obama territory, there are people who

0:21:03.760 --> 0:21:06.960
<v Speaker 1>think that Obama was awful and you know, and that

0:21:07.040 --> 0:21:09.520
<v Speaker 1>the Trump direction is much better, and then we need

0:21:09.600 --> 0:21:11.919
<v Speaker 1>some conservatives in charge. And there are places that are

0:21:11.920 --> 0:21:15.120
<v Speaker 1>supposed to be conservative bastions where there are people who say,

0:21:15.200 --> 0:21:18.000
<v Speaker 1>you know what, the Democrats have some really good ideas.

0:21:18.320 --> 0:21:21.240
<v Speaker 1>So I think it's a problem in the political domain

0:21:21.320 --> 0:21:25.040
<v Speaker 1>where people self stored into little cocoons, and they regard

0:21:25.080 --> 0:21:29.359
<v Speaker 1>their fellow citizens as traders or enemies or you know,

0:21:29.440 --> 0:21:32.960
<v Speaker 1>deeply confused or in the crip of lies. That seems

0:21:33.000 --> 0:21:35.040
<v Speaker 1>to me a much more serious problem than what the

0:21:35.040 --> 0:21:37.720
<v Speaker 1>professors are doing. Do you have any hope that the

0:21:37.840 --> 0:21:41.960
<v Speaker 1>situation will improve where people will seek out views the

0:21:42.040 --> 0:21:44.400
<v Speaker 1>disagree with their own. Well, one of the great things

0:21:44.400 --> 0:21:48.200
<v Speaker 1>about our country is that we're not hopeless, and that's

0:21:48.320 --> 0:21:52.879
<v Speaker 1>meant has a pun. It's first, we're not pessimistic, and second,

0:21:52.920 --> 0:21:56.439
<v Speaker 1>we have capacity to put the future in our own hands.

0:21:56.560 --> 0:21:59.400
<v Speaker 1>That's what we the people did a long time ago,

0:21:59.560 --> 0:22:03.879
<v Speaker 1>and we've that repeatedly since. So the fact is that

0:22:04.119 --> 0:22:07.280
<v Speaker 1>what our communications world is is if it's a world

0:22:07.400 --> 0:22:10.680
<v Speaker 1>of self sorting where we uh, you know, just learned

0:22:10.760 --> 0:22:14.359
<v Speaker 1>a single thing about civil rights, let's say that maybe

0:22:14.400 --> 0:22:16.399
<v Speaker 1>not be true or at least is in the full picture,

0:22:16.600 --> 0:22:19.040
<v Speaker 1>or we learned a bunch of different things, depends on

0:22:19.080 --> 0:22:23.840
<v Speaker 1>our own choices, both as individuals and people are providing

0:22:23.840 --> 0:22:26.880
<v Speaker 1>the stuff. So I think that there are some good

0:22:26.920 --> 0:22:31.040
<v Speaker 1>signs that Facebook is reassessing it's a news feed. It's

0:22:31.040 --> 0:22:34.440
<v Speaker 1>news feed is really an echo chamber generator in my view,

0:22:34.560 --> 0:22:37.359
<v Speaker 1>and it's reassessing that, so we're going to see some

0:22:37.480 --> 0:22:40.399
<v Speaker 1>changes on the individual side and on the provider side

0:22:40.400 --> 0:22:42.480
<v Speaker 1>in the next few years. Thank you very much for

0:22:42.520 --> 0:22:45.639
<v Speaker 1>spending time with us. Professor Cass Sunstein is a Bloomberg

0:22:45.680 --> 0:22:50.040
<v Speaker 1>View contributor. He's also a professor at Harvard University. His

0:22:50.119 --> 0:22:54.879
<v Speaker 1>new book is entitled Hashtag Republic, Divided Democracy in the

0:22:55.040 --> 0:23:11.840
<v Speaker 1>Age of Social Media shares a mobile I are hired

0:23:11.840 --> 0:23:15.000
<v Speaker 1>by nearly thirty percent. This comes after the announcement that

0:23:15.160 --> 0:23:20.000
<v Speaker 1>Intel will pay fifteen billion dollars for this technology company.

0:23:20.440 --> 0:23:26.159
<v Speaker 1>It provides vision based advanced driver assistance systems. This is

0:23:26.200 --> 0:23:30.160
<v Speaker 1>everything from lane and vehicle detection, adaptive cruise control, traffic

0:23:30.240 --> 0:23:33.480
<v Speaker 1>sign recognition. Here to tell us more on en trine

0:23:33.480 --> 0:23:37.440
<v Speaker 1>of us in our senior Semiconductor and Hardware analyst for

0:23:37.520 --> 0:23:41.439
<v Speaker 1>Bloomberg Intelligence, he never takes his hands off the wheel

0:23:41.880 --> 0:23:45.040
<v Speaker 1>on on. Thank you so much for giving us your time.

0:23:45.080 --> 0:23:47.680
<v Speaker 1>I know on your well learned holiday, but I want

0:23:47.720 --> 0:23:50.359
<v Speaker 1>to get your thoughts on what is it about a

0:23:50.359 --> 0:23:53.320
<v Speaker 1>company that has three hundred and sixty million in sales

0:23:53.400 --> 0:23:56.639
<v Speaker 1>getting bought for fifteen billion dollars. Can't you do a

0:23:56.640 --> 0:24:00.000
<v Speaker 1>lot with fifteen billion they certainly can. You can build

0:24:00.040 --> 0:24:02.560
<v Speaker 1>the new fab and then some UM. But look, this

0:24:02.680 --> 0:24:05.920
<v Speaker 1>is the future of semi conductors, right. I mean, if

0:24:05.920 --> 0:24:07.840
<v Speaker 1>you look at the handset market, it's slowing. If you

0:24:07.880 --> 0:24:10.240
<v Speaker 1>look at the PC market, it's slowing. The server market

0:24:10.840 --> 0:24:14.600
<v Speaker 1>is more competitive and that's slowing as well. So everybody's

0:24:14.680 --> 0:24:20.000
<v Speaker 1>all um UM driving fans UM towards the auto semic

0:24:20.000 --> 0:24:23.080
<v Speaker 1>conductor market. But the promise that it is large, it

0:24:23.240 --> 0:24:28.159
<v Speaker 1>is profitable, and it is fast growing. Now with autos,

0:24:28.320 --> 0:24:32.360
<v Speaker 1>there's a special tweak in in that you whatever design

0:24:32.400 --> 0:24:34.480
<v Speaker 1>winds that you have, if you get into a car

0:24:35.119 --> 0:24:37.280
<v Speaker 1>with a new system, you don't see revenues for a

0:24:37.320 --> 0:24:40.280
<v Speaker 1>couple more years because it has to be tested extensively

0:24:40.359 --> 0:24:44.760
<v Speaker 1>before products are shipped out. It's very different from consumer electronics.

0:24:44.800 --> 0:24:50.200
<v Speaker 1>So the thirteen UM revenue that they're playing forty three

0:24:50.240 --> 0:24:55.119
<v Speaker 1>times Stralian common sales UH, it's obviously growing very fast,

0:24:55.280 --> 0:24:57.919
<v Speaker 1>but the true growth potential of that is not going

0:24:57.960 --> 0:25:01.680
<v Speaker 1>to be visible for several years UM. And that's part

0:25:01.800 --> 0:25:03.520
<v Speaker 1>of the issue because we're not going to be able

0:25:03.560 --> 0:25:06.119
<v Speaker 1>to see it. The gross margins are better than that

0:25:06.200 --> 0:25:09.960
<v Speaker 1>the Intel of Intel, and it's UM it's in a

0:25:10.000 --> 0:25:13.359
<v Speaker 1>segment that you can't easily design your way into. So

0:25:13.600 --> 0:25:17.200
<v Speaker 1>many is uh is the smart route and mobilize a

0:25:17.240 --> 0:25:19.560
<v Speaker 1>great company. But the question is you know you're right?

0:25:20.240 --> 0:25:22.720
<v Speaker 1>Did they do they overpay? We? We won't know to

0:25:22.720 --> 0:25:25.040
<v Speaker 1>be quite on it for five years. Well, so, can

0:25:25.040 --> 0:25:27.359
<v Speaker 1>you give us a sense of just how competitive the

0:25:27.480 --> 0:25:31.960
<v Speaker 1>landscape is for becoming sort of the data provider of

0:25:32.000 --> 0:25:34.960
<v Speaker 1>the system provider for autonomous cars? I mean, it seems

0:25:34.960 --> 0:25:37.600
<v Speaker 1>like Intel is trying to position itself to be the

0:25:37.760 --> 0:25:41.159
<v Speaker 1>number one provider of that type of of data system

0:25:41.320 --> 0:25:45.320
<v Speaker 1>and technology technological system. But who are its competitors and uh,

0:25:45.520 --> 0:25:48.320
<v Speaker 1>what's the sort of market share potentially look like down

0:25:48.320 --> 0:25:51.840
<v Speaker 1>the line. Yeah, it's that's that's a great question, and

0:25:52.480 --> 0:25:55.760
<v Speaker 1>it's got a cloudy two part answer, which is one

0:25:56.040 --> 0:26:00.200
<v Speaker 1>is that the architecture of technology in cars, it's help

0:26:00.320 --> 0:26:03.360
<v Speaker 1>is changing. Companies like in Vidia and now inte are

0:26:03.480 --> 0:26:06.840
<v Speaker 1>pitching for quote unquote um the guard box or the

0:26:06.920 --> 0:26:09.439
<v Speaker 1>one system to rule at all in the auto right,

0:26:09.480 --> 0:26:13.480
<v Speaker 1>So they want all auto technologies to coalesce around one

0:26:13.720 --> 0:26:17.840
<v Speaker 1>intelligent system it's artificially intelligent or talks to the data

0:26:17.840 --> 0:26:20.879
<v Speaker 1>center and will take you from point A to point

0:26:20.880 --> 0:26:25.199
<v Speaker 1>B with as little human intervention as possible. That's the

0:26:25.280 --> 0:26:29.879
<v Speaker 1>utopian scenario five ten years after. What exists now is

0:26:29.920 --> 0:26:34.920
<v Speaker 1>a bunch of disparate systems with as many as thirty

0:26:34.960 --> 0:26:40.000
<v Speaker 1>two and ten UM micro controller subsystems, anything from checking

0:26:40.040 --> 0:26:43.359
<v Speaker 1>your oil levels to your tryer pressure to UM to

0:26:43.440 --> 0:26:46.400
<v Speaker 1>seeing what the temperature is outside. And these systems don't

0:26:46.440 --> 0:26:49.920
<v Speaker 1>necessarily all talk to one another, and there's no central

0:26:50.640 --> 0:26:54.359
<v Speaker 1>um intelligent control points. So that's what it is today.

0:26:54.560 --> 0:26:59.040
<v Speaker 1>Companies like in Video, potentially Tesla, potentially Intel now are

0:26:59.080 --> 0:27:03.400
<v Speaker 1>all coalescing towards the future. It's a much slower market

0:27:03.520 --> 0:27:09.360
<v Speaker 1>to turn UM, particularly in advanced driver system systems that

0:27:09.359 --> 0:27:13.840
<v Speaker 1>that that everybody is pitching. The The number of things

0:27:13.960 --> 0:27:16.919
<v Speaker 1>that we need to do between here and the truly

0:27:17.040 --> 0:27:22.480
<v Speaker 1>driverless car is many, many, many, many folds. But here's

0:27:22.480 --> 0:27:25.360
<v Speaker 1>the flip site. You know, we sell roughly about eighty

0:27:25.400 --> 0:27:29.360
<v Speaker 1>million cars a year, and and each of those cars

0:27:29.400 --> 0:27:32.480
<v Speaker 1>contained somewhere in the the intern eighty dollars of silicon

0:27:33.000 --> 0:27:36.400
<v Speaker 1>that could go substantially higher, two, three, four or five

0:27:36.520 --> 0:27:40.639
<v Speaker 1>times higher based on whether it's a driverless car or

0:27:41.520 --> 0:27:45.320
<v Speaker 1>it's a semi driverless car. UM and so that's the

0:27:45.400 --> 0:27:49.480
<v Speaker 1>utopian scenario, and it becomes very very sticky. It's high

0:27:49.560 --> 0:27:53.719
<v Speaker 1>margin business is sticky business. Um, it's not as volatile

0:27:53.760 --> 0:27:57.080
<v Speaker 1>as the conserveral times. And that's me intell pitch. Here's

0:27:57.119 --> 0:28:00.280
<v Speaker 1>another utopian scenario. How about if you go public three

0:28:00.359 --> 0:28:02.800
<v Speaker 1>years ago, you raise a billion dollars and you have

0:28:02.840 --> 0:28:05.480
<v Speaker 1>a market cap of a little bit more than five billion.

0:28:06.000 --> 0:28:11.879
<v Speaker 1>Fast forward three years you sell out for fifteen billion UM.

0:28:12.040 --> 0:28:15.280
<v Speaker 1>Pretty nice chunk of change for the thunders. It's so great,

0:28:15.280 --> 0:28:19.200
<v Speaker 1>why are they selling? Look, I mean there's a point

0:28:19.200 --> 0:28:21.480
<v Speaker 1>to be made with respect to scale. If you look

0:28:21.640 --> 0:28:26.160
<v Speaker 1>at the semikinnecter industry in general, it is become one

0:28:26.200 --> 0:28:28.399
<v Speaker 1>of scale in terms of design, one of scale in

0:28:28.480 --> 0:28:32.640
<v Speaker 1>terms of factories, and one in terms of touch. Small

0:28:32.800 --> 0:28:39.360
<v Speaker 1>semiconductors companies in most spaces will become UM an oxymoron.

0:28:39.440 --> 0:28:42.240
<v Speaker 1>It's going to be very very tough to exist if

0:28:42.240 --> 0:28:44.720
<v Speaker 1>you don't have scale. Um, you're going to find it

0:28:44.880 --> 0:28:46.800
<v Speaker 1>very hard to compete with the likes of n XP,

0:28:47.000 --> 0:28:49.960
<v Speaker 1>which is now being acquired by Quantcom, which in fact

0:28:50.040 --> 0:28:52.280
<v Speaker 1>box free scale, which is the number one auto supplier.

0:28:52.400 --> 0:28:55.480
<v Speaker 1>So um, you're going to find it very very difficult

0:28:55.480 --> 0:28:58.880
<v Speaker 1>to compete with these beheamoth from an R and D perspective,

0:28:59.000 --> 0:29:03.080
<v Speaker 1>and for more, boy they're thinking, is that I get

0:29:03.120 --> 0:29:06.920
<v Speaker 1>a big R and D partner with Intel right an

0:29:06.920 --> 0:29:08.920
<v Speaker 1>on Street of Austin. Thank you so much for joining us.

0:29:08.920 --> 0:29:19.320
<v Speaker 1>He's senior Semiconductor and Hardware analyst for Bloomberg Intelligence. Thanks

0:29:19.360 --> 0:29:21.960
<v Speaker 1>for listening to the Bloomberg P and L podcast. You

0:29:22.000 --> 0:29:26.120
<v Speaker 1>can subscribe and listen to interviews at iTunes, SoundCloud, or

0:29:26.160 --> 0:29:30.240
<v Speaker 1>whatever podcast platform you prefer. I'm pim Fox. I'm out

0:29:30.240 --> 0:29:33.120
<v Speaker 1>there on Twitter at pim Fox. I'm out there on

0:29:33.160 --> 0:29:36.440
<v Speaker 1>Twitter at Lisa Abramo. It's one before the podcast. You

0:29:36.440 --> 0:29:39.080
<v Speaker 1>can always at catch us worldwide on Bloomberg Radio