GM CEO Reveals the Truth About AI Cars & the Future of Driving (YouTube Video Transcript)

(00:00:00) Your YouTube transcript will appear here (00:00:00) We're hoping for 28, right? (00:00:01) >> Yeah. I know. I mean, that's what the (00:00:03) team is working for. (00:00:04) >> Imagine being able to take your eyes and (00:00:06) hands off the wheel, go through your (00:00:08) work emails, watch your favorite TV (00:00:10) show, maybe grab lunch. Gemini coming (00:00:12) out next year, right? Uh, so it's you (00:00:14) will be able to talk to your vehicle. (00:00:16) It's going to be able to even alert you (00:00:18) before something happens so you can take (00:00:20) care of it. This is Mary Bar, the CEO of (00:00:23) General Motors, one of the most powerful (00:00:25) people in the automative world and the (00:00:28) woman leading the transformation of how (00:00:30) humanity moves. (00:00:31) >> This is becoming a robot and eventually (00:00:34) you can see a world where it's acting on (00:00:36) your behalf fully autonomously. (00:00:37) >> AI is changing everything. It's no (00:00:40) longer just a car. It's an assistant (00:00:41) [music] that might know you better than (00:00:43) anyone. So, the real question is, are we (00:00:46) ready for it? (00:00:49) Mary, thank you so much for doing this. (00:00:51) I'm so excited to host you on Silicon (00:00:53) Valley Girl. (00:00:54) >> I'm really excited to be on Silicon (00:00:56) Valley Girl and have a chance to talk to (00:00:57) you and tell you what's going on at (00:00:58) General Motors. (00:00:59) >> Oh, yeah. I'm a proud owner of Cadillac (00:01:01) Escalade. Uh it was one of the first (00:01:04) with the Super Cruise. I was dying to (00:01:06) get it, so we had to go to LA because (00:01:08) Bay Area was sold out. Went to LA, got (00:01:10) it, and uh we've been driving it since. (00:01:12) It's such a good investment, especially (00:01:14) when you have technology mixed with (00:01:16) quality, right? because you still want (00:01:18) to feel good in your car. Today you (00:01:21) presented a lot of new updates. Let's (00:01:23) imagine it's 2030. I'm in my new (00:01:25) Escalade. What is the experience like? (00:01:27) >> Well, I think one of the things is it's (00:01:29) still going to be very personalized and (00:01:31) we think we can uh continue to advance (00:01:33) the vehicle. Uh you know, we talked (00:01:35) about adding the Google Assistant. uh (00:01:37) we'll follow up with a our own assistant (00:01:39) that's much more integrated into the (00:01:41) vehicle leveraging vehicle data get to (00:01:44) know you know the vehicle so that it can (00:01:46) even be a more customized experience and (00:01:48) then when you think about what we can do (00:01:50) from an autonomy perspective we shared (00:01:52) that we'll start with highway autonomy (00:01:54) where you can literally take your eyes (00:01:55) off the road and then we'll continue to (00:01:57) expand that into urban urban locations (00:01:59) and you know by 2030 I'm I'm kind of (00:02:01) done making predictions as it relates to (00:02:03) autonomy because I think it is one of (00:02:05) the hardest challenges is from a (00:02:06) technological perspective, but I think (00:02:08) we're going to make advancements like we (00:02:10) do today with super cruise. Um, and (00:02:12) we'll make those advancements once we (00:02:13) have uh eyes off from a highway (00:02:15) perspective. And so in 2030, I I think (00:02:18) you know people are going to see that (00:02:20) their vehicle allows them to lead a much (00:02:23) more integrated life that the vehicle (00:02:25) makes their life easier, makes them more (00:02:26) efficient, gives them back some time. (00:02:29) [music] (00:02:33) All right, welcome to the new Cadillac (00:02:36) Escalade. That's the driving experience (00:02:39) of 2028. When you don't have to look out (00:02:42) and watch the cars, you don't have to (00:02:43) put your hands on the wheel. You just go (00:02:47) have your TV screen here, catch up on (00:02:49) your emails. (00:02:51) Ah, this is what I'm waiting for. And (00:02:53) also like cuz I always have my kids in (00:02:55) the back, right? I can just pass things. (00:02:57) I can talk to them and the car will be (00:03:00) driving by itself. Oh my goodness, I (00:03:03) love the screen situation. I love that (00:03:05) now we have like a full scale TV section (00:03:08) here. There's screen for the passenger. (00:03:10) The seats are almost identical to what I (00:03:12) have now with the sound system here. (00:03:14) They have the purse section right here (00:03:17) so you can put your bag. (00:03:20) It's big. [laughter] (00:03:22) The charger. Everything is electric. The (00:03:26) steering wheel is again very similar to (00:03:28) what I have. This is the technology. I (00:03:31) think this is where they track uh your (00:03:34) eyes and your hands. I cannot wait till (00:03:37) 2028 to start driving this vehicle. I (00:03:40) love how the Cadillac is this mix of (00:03:44) technology and luxury because we have, (00:03:48) you know, very smart vehicles on the (00:03:50) market, but they don't feel like luxury. (00:03:52) This feels beyond luxury. the blue (00:03:54) stitches, like all the details, (00:03:58) it feels like it's a car from the future (00:04:00) because of the design, but also they (00:04:03) maintain the classic uh the classic (00:04:05) design, adding all the details. (00:04:09) Another fascinating use case that I got (00:04:12) from the presentation is that imagine (00:04:14) something's wrong with a vehicle and you (00:04:15) need to take it to service. Now, ideally (00:04:18) in 2028, your vehicle detects the (00:04:21) problem by itself cuz it's AI powered. (00:04:24) Second, it knows when you need the car. (00:04:26) So, in the time when you don't need the (00:04:28) car, it will just take itself to the (00:04:31) service center, get serviced, come back (00:04:34) to your house for you to be ready to (00:04:36) move. (00:04:37) >> How do you look at competition? Because (00:04:38) there are already companies that are (00:04:40) doing full autonomy. What do you think (00:04:42) about that? Like about this gap? Well, I (00:04:44) think if you look at who's doing full (00:04:45) autonomy, um, you know, you have it's in (00:04:48) the robo taxi arena. Yeah. And so that's (00:04:51) a very and generally in a very uh (00:04:53) concise OD, even if it's in different (00:04:55) cities, it it's um operating uh an (00:04:58) operating area. (00:04:59) >> Oh, got it. So it's like Yeah. (00:05:01) >> Right. And so I think when you uh look (00:05:04) at we're talking about something much (00:05:06) more broad on highways at speed and then (00:05:08) moving into urban. So I think when we (00:05:11) look at it from a personal autonomous um (00:05:13) it's it's going to we we think we'll be (00:05:15) among the leaders in doing that and (00:05:16) doing that safely uh understand what the (00:05:20) rootexis are doing but it is different (00:05:22) than when you get into personal autonomy (00:05:23) and you have to integrate back and forth (00:05:25) between um I'm driving the vehicle and (00:05:27) I'm responsible to the vehicle is taking (00:05:30) control. It's actually a much more (00:05:31) complex um system to solve. (00:05:33) >> Gemini coming out next year, right? Uh (00:05:36) so it's you will be able to talk to your (00:05:38) vehicle. uh you'll be able to ask like (00:05:40) where's the nearest whatever we don't (00:05:43) need gas stations but the nearest (00:05:44) service etc. What is the most compelling (00:05:47) use case that you've seen with Gemini (00:05:50) like what makes it stand out? Well, I (00:05:52) think when you look at AI and the fact (00:05:54) that, you know, you can it's not just um (00:05:57) you know, play the latest Taylor Swift (00:05:59) song, um which I'm a Swifty, so love, (00:06:01) but uh it it it can be much more of, (00:06:04) hey, I'm headed here. Can you route me (00:06:06) on the way? I'd like to stop and get u (00:06:08) you know, a coffee at my favorite coffee (00:06:10) shop or hey, I'm kind of hungry. Um I'm (00:06:13) not familiar with this area. Uh where's (00:06:16) the best place for me to get u a turkey (00:06:18) sandwich? You know, kind of thing. I (00:06:20) mean, you can just ask it like my or my (00:06:22) favorite food is X and it can help (00:06:24) integrate that and make sure you're (00:06:25) going to the be the best restaurant. So, (00:06:27) it's going to take all that information. (00:06:29) It's going to be able to do that as we (00:06:30) get further along. It's going to be able (00:06:32) to even integrate more and know how the (00:06:34) the systems in the vehicle are working (00:06:36) and alert you before something happens (00:06:39) so you can take care of it. So I think (00:06:40) it's going to be a journey, you know, (00:06:42) from what we have today to what we'll (00:06:44) have with Google and then the further (00:06:46) integration with General Motors, we'll (00:06:48) even be able to pull more information (00:06:49) from the vehicle to make it even more (00:06:51) personalized. (00:06:54) I'm [music] excited about AI in (00:06:56) vehicles. So you're going to integrate (00:06:58) with Gemini. And I have a question from (00:06:59) the user standpoint. Is it the same (00:07:01) Gemini I have in my phone? Like I mean, (00:07:03) does it have information about me or is (00:07:05) it a specific Gemini for the vehicle (00:07:07) that is not connected to me as a person? (00:07:09) Okay, good question. So, uh today we (00:07:12) talked about almost like two timelines (00:07:14) actually. One is going to be uh you (00:07:17) might already heard this from Google as (00:07:19) well which we are closely partnering (00:07:21) with. Google Assistant is going to (00:07:23) evolve and become Google Gemini in the (00:07:25) vehicles. So therefore that's going to (00:07:28) be where the journey starts. So that's (00:07:30) going to be the first upgrade. The (00:07:33) second thing is in addition in parallel (00:07:35) we're working on developing our own (00:07:37) assistant that is 4GM by GM. Uh we will (00:07:42) use of course providers who are already (00:07:45) providing large language models. We're (00:07:47) not going to be in the business of (00:07:48) developing a frontier model or a (00:07:50) foundation model. We will build on top (00:07:52) of uh technologies but we're not ready (00:07:54) yet to disclose what uh back end we're (00:07:56) going to be using. But our goal with (00:07:58) that GM assistant is to build something (00:08:01) that is deeply contextually aware (00:08:03) because I think I think we all know this (00:08:06) contextual AI is where the magic is (00:08:08) going to unlock. Now we can get we can (00:08:10) get nerdy. We're talking about Silicon (00:08:11) Valley here where we we will design a (00:08:14) system where our assistant our agent (00:08:17) will be able to talk to other agents cuz (00:08:19) the world you're describing is exactly (00:08:20) that, right? Cuz you are going to have (00:08:22) this graceful handoffs. You're going to (00:08:24) say, "Hey, (00:08:25) >> I'm in New York. look at the next three (00:08:27) flights available. (00:08:30) The AI should learn you prefer to fly, (00:08:32) let's say, with United. It should talk (00:08:35) to the United agent and say, "Hey, (00:08:38) here's the three flights that you might (00:08:39) want to." So, that's the goal. What we (00:08:41) want to create a Uber agent, an Uber (00:08:44) assistant, that is the GM assistant that (00:08:46) can broker those type of interactions. (00:08:49) >> Love it. Let's imagine 2050. (00:08:51) >> Okay. Wow. (00:08:52) >> What driving looks like with AI. Let's (00:08:53) be super futuristic cuz you're building (00:08:56) this, right? You probably are thinking (00:08:58) about those days. Okay. What is your (00:09:00) wildest (00:09:01) >> 2050? When is that? So, it's 25 years (00:09:03) from now on. So, like we talked about (00:09:06) earlier today, (00:09:08) the level of autonomy I think is going (00:09:11) to continue to increase. I think Mary (00:09:13) even alluded to it in her presentation (00:09:15) today where you will we will reach a (00:09:17) world where the car would be doing (00:09:20) things even without you in the car where (00:09:23) it could run errands on your behalf (00:09:25) where it could take itself to be car (00:09:27) washed and serviced and change the (00:09:29) tires. So I think 25 years is a long (00:09:32) time and I reserve to be wrong and thank (00:09:34) god it's such a long time. Well, would (00:09:36) we get this earlier? Something you (00:09:38) described, it's already (00:09:40) >> feels like it's a possibility now. (00:09:41) >> Again, it's possible. I think it's now (00:09:44) we can actually again get a little bit (00:09:45) nerdy around like the diffusion of (00:09:47) innovation, right? It's not equally (00:09:49) distributed, right? We are experiencing (00:09:51) that today. However, maybe the economics (00:09:54) are not there yet for it to be mass (00:09:56) scale, right? They're in pockets, right? (00:09:58) The robo tax experience, those are (00:10:00) expensive cars to build with those (00:10:02) sensor sets. But in 25 years, one could (00:10:05) imagine the sensors get cheaper, the AI (00:10:10) models we use get smarter. So therefore, (00:10:12) the world where we're seeing the car (00:10:15) truly fully autonomously behaving on (00:10:17) your behalf, I think will be real in 25 (00:10:20) years. (00:10:20) >> The actual robot that we're going to (00:10:22) have in our household, (00:10:23) >> correct? Exactly. I mean, the one of the (00:10:25) robots, right? This is a I think (00:10:27) Sterling said this way. This is a (00:10:28) purpose specific robot that provides you (00:10:30) mobility. We are going to have purpose (00:10:32) specific robots, right? We are going to (00:10:34) have probably humanoids in our house (00:10:36) helping with home chores. We will have (00:10:39) quoteunquote robots maybe helping with (00:10:41) education. And yes, this is a becoming a (00:10:45) robot and eventually you can see a world (00:10:47) where it's acting on your behalf fully (00:10:50) autonomously. (00:10:51) >> Wow. Okay. Flying cars, (00:10:54) >> why not? (00:10:55) >> And when it comes to technology, um, so (00:10:57) I asked one of my friends who's also (00:10:59) working on like self-driving. And I'm (00:11:00) like, when will be the year when I can (00:11:03) just put my kids in the car and the car (00:11:04) will take them to school? When do you (00:11:06) think this is coming? And is it (00:11:08) available right now from the technology (00:11:10) perspective? He said from technology (00:11:12) perspective, we can do it now. It's just (00:11:13) a regulation. Well, I think right now we (00:11:15) do have a patchwork of regulation. We're (00:11:17) hoping for one federal regulation (00:11:19) because I think that will unlock (00:11:20) autonomous technology. I think a lot of (00:11:22) it being a mother myself although my (00:11:25) children are adults now um is looking at (00:11:28) um you know when is the right time to do (00:11:30) that. So I think you know from a (00:11:31) technology perspective we'll get there (00:11:33) and then it's going to have to be a (00:11:34) judgment piece of how old is your child, (00:11:37) where are they going, all of that. Um (00:11:38) and so you know we're on our way to get (00:11:40) there. Uh and you know I think the we'll (00:11:43) get to a point I think we need to get to (00:11:45) full you know as we start with L4 (00:11:47) highway obviously you know you're still (00:11:49) in the urban areas going to need to take (00:11:50) um responsibility for driving. So I (00:11:52) think that'll happen over time. So when (00:11:54) we're driving right right now the (00:11:56) vehicle is watching us and it's seeing (00:11:58) like my eye movements and everything. (00:12:01) Is it like surveillance like does it (00:12:04) read my conversation like what happens (00:12:06) if the government wants to take my data (00:12:08) like the privacy? Well, and this is (00:12:10) where um you know, we we have a new over (00:12:13) a year now a privacy officer that uh is (00:12:16) working across the organization helping (00:12:18) people understand. We want to make sure (00:12:20) we're uh following all the privacy (00:12:23) requirements and you know a lot of the (00:12:25) information we feel is the customer. So (00:12:27) the customer has to give give the (00:12:29) company permission even if we're going (00:12:30) to use it from an anonymized (00:12:31) perspective. So everything we do will be (00:12:34) with a focus on privacy and security and (00:12:37) then also cyber security. So that we (00:12:40) have dedicated people in the company (00:12:42) that focus on making sure we understand (00:12:44) the laws and that we're following all of (00:12:46) them and and you know even more so uh (00:12:49) doing what we think consumers would want (00:12:51) us to do. (00:12:51) >> Mary brought up something that couldn't (00:12:53) be more relevant today, privacy. And the (00:12:56) truth is AI already knows more about me (00:12:59) than I realize. It knows what I buy, (00:13:02) what I search for, how I move, sleep, (00:13:04) and work. We rarely stop to think where (00:13:06) all that information actually goes, or (00:13:08) who might have access to it. Can you (00:13:10) imagine that in just a few years, even (00:13:12) my car will probably know everything (00:13:14) about me, what time I leave home, how (00:13:16) often I call my mom, cuz I call her (00:13:18) almost every day when I'm driving. And (00:13:20) with home robots now starting to appear, (00:13:22) they'll soon have a window into every (00:13:25) detail of family life. As technology and (00:13:27) AI keep evolving, I can see that people (00:13:29) are becoming much more aware of how (00:13:31) their data is used and who they trust (00:13:34) with it. Very soon, the companies that (00:13:36) handle privacy responsibly will be the (00:13:38) ones people choose to stay with. Because (00:13:40) trust is no longer just a nice to have. (00:13:43) It's becoming the foundation of every (00:13:45) relationship between users and brands. (00:13:47) According to research from user (00:13:48) centrics, 62% of consumers feel they've (00:13:51) become the product. 77% don't understand (00:13:55) how their data is handled. And 73% will (00:13:58) stop buying from brands they don't trust (00:13:59) with their data. This isn't theoretical. (00:14:01) It's consumer behavior that impacts your (00:14:04) bottom line. 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You can get 15% (00:14:46) off for six months if you sign up using (00:14:48) the special link in the video (00:14:50) description. Thanks to User Centrics for (00:14:52) sponsoring this video. And now back to (00:14:54) our conversation with Mary. (00:14:57) >> The next step is taking your eyes off (00:14:59) right and that is what we you know we (00:15:01) are going to be delivering uh in the 28 (00:15:04) time frame uh with uh again with first (00:15:07) from a highway perspective. So that's (00:15:09) that will happen and then we'll keep (00:15:10) advancing that and get to urban etc. So, (00:15:13) you know, that's coming in the not too (00:15:14) distant future, it's really right around (00:15:15) the corner. (00:15:16) >> We're hoping for 28, right? (00:15:17) >> Yeah. No, I mean, that's what the team (00:15:19) is working toward. And, you know, when I (00:15:21) look at what we've been able to build (00:15:22) with all of the resources we have from a (00:15:24) software perspective and then uh what we (00:15:27) had from a uh the team that's done super (00:15:29) cruise along with the cruise resources, (00:15:31) bringing them all together, then they're (00:15:33) doing it right now. So, that's what get (00:15:35) makes me really excited. (00:15:38) >> What we announced today is an eyes off (00:15:41) autonomy capability. nothing of that (00:15:43) sort exists in the market today. And (00:15:45) when you think about that, you're (00:15:46) basically asking the driver to take your (00:15:49) eyes off, not pay attention at all on (00:15:51) the road. Um, that's a very very high (00:15:53) bar. And for us to safely maneuver (00:15:56) different conditions that we, you know, (00:15:58) spoke about here in the demo. We need (00:16:00) sensor redundancies uh to be built in so (00:16:03) that the car can handle very complex uh (00:16:06) scenarios in all weather conditions (00:16:09) without requiring human intervention. (00:16:11) like human intervention cannot be a (00:16:13) backup. That cannot be a safety wall. Uh (00:16:15) and we're not going to use it. So we are (00:16:17) going to (00:16:18) >> So even if something's going on, there (00:16:19) won't be a situation where the car just (00:16:21) flashes around like take over, take (00:16:23) over, take over. So you excluding that? (00:16:25) >> So we will have situations where when (00:16:28) the uh car is exiting its operational (00:16:31) domain. So the product right now will (00:16:33) launch with highways only. So we will (00:16:35) you'll only be able to use this product (00:16:37) when you're on the highway. when you're (00:16:39) off the highway uh this product will not (00:16:41) be available and so when you're on the (00:16:44) highway you can use it but as you are (00:16:46) going to uh come to an exit we will ask (00:16:48) you to take over the control (00:16:50) >> you have three different systems right (00:16:52) you have lighter you have cameras and (00:16:54) you have a radar can you talk to me (00:16:57) about the difference between the three (00:16:58) systems (00:16:59) >> yeah so um what we wanted to share here (00:17:02) is that uh how the different sensors (00:17:04) come together to provide uh a 360°ree (00:17:08) continuous this uh information to a (00:17:09) driving system to uh so that it enables (00:17:12) it to make splits or even fraction of a (00:17:15) second uh decisions. It can see further, (00:17:18) react faster than a human would ever can (00:17:20) and can work in all weather conditions. (00:17:22) >> When do you think the full autonomy is (00:17:24) coming? (00:17:24) >> You know, I think we're going to keep (00:17:25) approaching that and as Sterling talked (00:17:27) about Sterling Anderson who is our chief (00:17:29) product officer, we're going to keep (00:17:31) working uh and making sure we do that (00:17:33) safely. So it'll be you'll see (00:17:34) incrementally that we'll keep adding (00:17:36) adding from a you know the area in which (00:17:38) you can do it to the complexity of the (00:17:40) environment. So I I learned I first (00:17:43) started making predictions about (00:17:44) autonomy back in 2016. So I I as I look (00:17:48) now we're going to we're going to put it (00:17:50) into the vehicle as soon as it's ready (00:17:52) and it can be deployed safely and that's (00:17:54) what will be the main concern right now. (00:17:56) Safety. Safety is something, you know, (00:17:57) General Motors has a rich history of (00:17:59) having that relationship of trust with (00:18:01) our consumer that they uh they know we (00:18:04) put a lot of thought into our systems (00:18:07) being safe. And so we want to put that (00:18:09) same uh level of uh prioritizing safety (00:18:12) that we have done in Super Cruise into (00:18:14) as we get to uh you know L4 highway and (00:18:18) and then we'll expand from there. (00:18:19) >> And super cruise you mentioned 700 (00:18:22) million miles, no accidents. (00:18:24) >> Correct. Correct. That is fascinating. (00:18:26) >> Yeah. Well, it's and again, it's we know (00:18:28) vehicles and we've really looked to make (00:18:30) sure that that the technology uh is well (00:18:33) validated. So, we're very proud of our (00:18:34) safety record and we work to continue to (00:18:36) get better every day and give more (00:18:38) features like trailering and uh you (00:18:40) know, integration with Google Maps. So, (00:18:43) there's new features and new uh roads (00:18:46) being added to to Super Cruise um all (00:18:49) the time. (00:18:49) >> So, we talked about AI transforming the (00:18:51) driving experience. How is it (00:18:52) transforming the production? (00:18:54) >> Well, I think we're we're leveraging I (00:18:56) mean I think it's such an interesting (00:18:58) time right now when you look at the (00:18:59) power of artificial intelligence and (00:19:01) we're focusing on the main areas in the (00:19:03) business of how do we use it to improve (00:19:05) manufacturing. Uh Sterling Anderson (00:19:08) talked about one of the things that (00:19:09) General Motors has that is unique is all (00:19:11) of this information and data of of how (00:19:14) how how things are manufactured. And I (00:19:17) think when you look at that and the (00:19:18) power of data to to really help advance (00:19:20) AI, we're in a unique position to make (00:19:23) our um our manufacturing processes more (00:19:26) efficient, serve our operators better. (00:19:28) When we think about um designing the (00:19:30) vehicle, uh you know, looking at the (00:19:32) areas that we can that right now people (00:19:34) are doing, how do we make it more (00:19:36) efficient and and allow our engineers to (00:19:38) really focus on optimizing technology? (00:19:41) Um you know, safety. uh it allows us to (00:19:44) do more validation. There's so much from (00:19:47) that perspective. And then from a how we (00:19:49) go to market, imagine leveraging (00:19:51) artificial intelligence to really (00:19:52) understand the customer better and reach (00:19:54) that customer in a more focused way so (00:19:56) they get the information they want. (00:19:58) There's been so much advancement in that (00:19:59) space as well. And then lastly, what I (00:20:01) would say is also putting the tools um (00:20:04) in the hands of our employees. One of (00:20:06) the things I've encouraged uh everyone (00:20:08) at the company to do is become familiar (00:20:10) with it because it's easy to kind of be (00:20:12) a little bit wary of it if you don't (00:20:14) understand it once you use it. I think (00:20:16) it really and I I make sure I'm (00:20:18) constantly using it um even in my daily (00:20:21) life unrelated to work to just see the (00:20:23) power of it because once you use it use (00:20:25) it for this and you're like oh I can use (00:20:27) it for this. It's um you know, one of (00:20:29) the things my daughter does that I think (00:20:30) is so interesting. She'll she's going to (00:20:32) college to get her master's degree and (00:20:34) she'll be like um I'd like a a shopping (00:20:36) list with I'm gluten-free with I need it (00:20:39) to be healthy. I want it to be this (00:20:40) level of calories and I don't want it to (00:20:42) have too many um different things that I (00:20:45) have to buy. So, give me the recipes for (00:20:46) a week. (00:20:47) >> Yeah. (00:20:48) >> And boom. And she's like, "Mom, it's (00:20:49) really good and it really works." (00:20:51) >> What's your favorite use case? Just the (00:20:53) other day I I've been having some (00:20:54) shoulder pain and so I I got the test (00:20:57) results and of course I you get it now (00:20:59) on the portal before you you know you (00:21:01) have anything from back from your (00:21:02) doctor. I put it into this time I used (00:21:05) she had GPT and it came back and it's (00:21:07) like yeah you've got a a tendon that's (00:21:09) inflamed and of course it's my mother (00:21:11) who um passed away many years ago but (00:21:14) she always used to tell me to sit up (00:21:15) straight and some of it is for you some (00:21:17) of my soreness is because of posture. (00:21:19) I'm like okay my mom I've got to listen (00:21:21) to you. I've got to sit up straight. (00:21:22) >> But I mean, I think I never before I (00:21:24) would have waited, you know, to hear (00:21:26) from the doctor and I was able to go in (00:21:28) and understand what it is and understand (00:21:29) what I need to do to to alleviate it. (00:21:32) So, I mean, just a couple years ago, you (00:21:34) know, you would have had to wait for the (00:21:35) doctor. So, and then, you know, there's (00:21:37) the easy one of I look in the fridge. (00:21:39) What do we have? Okay, give me something (00:21:40) interesting to make. Yeah. Yeah. Oh, (00:21:43) yeah. You know, that's a really good (00:21:44) point. Take a picture even more so than (00:21:45) saying I have this, this, and this. (00:21:47) >> I'll do that. (00:21:48) >> Yeah. I do that all the time. What about (00:21:50) work processes? What have you optimized (00:21:51) with AI for you personally? (00:21:53) >> For me, I think it's it's um how do I, (00:21:56) you know, write much more quickly uh (00:21:58) when I'm writing an email or how do I (00:21:59) get information? If I want to learn (00:22:01) something about a new technology, uh (00:22:03) just asking the question so boom, I get (00:22:05) the information, I can read it as (00:22:06) opposed to having to send some send it (00:22:08) to someone else, say, "Hey, can you give (00:22:10) me a a you know, a summary of this?" So, (00:22:12) I mean, just so much more information is (00:22:14) digestible uh you know, is given back to (00:22:16) you in a very digestible format. I'm I'm (00:22:19) using it several times a day and and (00:22:21) then also um again how I do my work. (00:22:24) >> Let's get back to uh factories and (00:22:26) workers. If somebody wants to can (00:22:28) someone who's inspired by your journey (00:22:30) when you started working for GM when you (00:22:32) were 18 and now you're the CEO if (00:22:34) somebody wants the same journey and (00:22:36) they're thinking you know what entry (00:22:37) level jobs being replaced with AI and (00:22:40) how do I repeat this journey in the (00:22:42) current environment what would be your (00:22:43) advice? Well, first of all, if you want (00:22:45) to be in the auto industry, I mean, I (00:22:46) would I would make sure that you get (00:22:48) into the core of the business, uh, (00:22:51) joining to to work um, as a (00:22:53) manufacturing person in our in our (00:22:55) company. I I started as an engineer (00:22:57) working in a plant, knowing how and and (00:22:59) from when I started over 40 years ago to (00:23:02) now, there's so much has advanced in the (00:23:05) plants, but understanding what it takes (00:23:06) to put a car on the road with high (00:23:08) quality, to do it efficiently, with an (00:23:10) engaged workforce, I think that's so (00:23:12) important. And so I still I always (00:23:14) encourage people whatever industry (00:23:15) you're excited about, make sure you're (00:23:18) in the core of it. You're in how we (00:23:20) design vehicles, all the software, how (00:23:22) we um how we make vehicles, how we go to (00:23:25) market. I would in an industry you're (00:23:27) excited about, go in and join a company (00:23:29) and really immerse yourself in where (00:23:31) they are today. you know, so many people (00:23:33) who are are graduating from college or, (00:23:36) you know, coming in with certificates (00:23:37) are they have so much knowledge already (00:23:40) from the way technology they they, you (00:23:42) know, leveraged it um to to go through (00:23:45) their schooling at whatever level they (00:23:46) are. You bring all that and you can (00:23:49) immediately say, hey, here's how we can (00:23:50) make it better. I was talking a couple (00:23:52) years to years ago of of um an employee (00:23:54) who joined the company and it was in our (00:23:56) finance area. uh and he had got a job (00:23:59) and he said, "Yeah, I was able to use (00:24:01) these tools I used from college and able (00:24:03) to take what was usually going to take (00:24:04) three days and I could do it in three (00:24:06) hours." I mean, I think so I think what (00:24:08) somebody who's starting their career, (00:24:09) they have to realize, you know, they (00:24:11) really have a lot of knowledge in the (00:24:13) way they learn to do work that they can (00:24:15) bring into the workplace and that's what (00:24:17) we're trying to do right now across many (00:24:18) functions of for instance in human (00:24:21) resources. How do we take some of the (00:24:22) things that a human resource (00:24:24) professional needs to do that is you (00:24:27) know getting the data in the right place (00:24:28) and getting that information getting (00:24:31) that done more effectively with AI so (00:24:33) that person can have more uh more of a (00:24:35) high touch with the people that are in (00:24:38) the area that he or she is supporting (00:24:40) those are things I think we can do that (00:24:41) that human connection is going to become (00:24:43) more important and the quality of it (00:24:45) because the person isn't spending all (00:24:46) the time doing some of the more you know (00:24:49) routine things that they can really (00:24:51) understand that person better, (00:24:52) understand the process better, work for (00:24:54) higher quality, I think it's really (00:24:56) going to advance. (00:24:57) >> What are the personal traits that you're (00:24:59) looking for rehiring? (00:25:00) >> I think you have to have someone who is (00:25:02) passionate about what they do. Um I also (00:25:05) would say um you know a high quality (00:25:07) person, integrity, work hard, (00:25:10) >> high quality person. (00:25:12) >> Yes. You know, somebody who who you know (00:25:14) is willing to come in and work hard and (00:25:16) wants to learn and you know, understands (00:25:18) that. One of the things I talk about at (00:25:20) GM, we're going to do the right thing (00:25:21) even when it's hard. And integrity is (00:25:23) such an important piece of it, we talk (00:25:24) at General Motors, winning with (00:25:26) integrity because if you win without it, (00:25:28) you really haven't won. And so people (00:25:30) who are aligned with with the company's (00:25:32) values, but are passionate about the (00:25:34) work, willing to work hard and curious (00:25:36) that they want to learn because (00:25:38) technology is advancing in any industry. (00:25:40) it's advancing so quickly that if you (00:25:42) don't have a learning mindset and a (00:25:44) curiosity to like hm how can I make this (00:25:47) better or I want to go learn about that. (00:25:49) Um I think that that to me is what's (00:25:51) going to separate and empower people to (00:25:54) do things and have careers that we can't (00:25:56) even imagine right now. (00:25:57) >> Is there anything that keeps you up at (00:25:58) night in (00:25:59) >> well AI? (00:26:00) >> Yes. I mean, of course, I mean, I I (00:26:02) think it's so important to uh adopt (00:26:05) artificial intelligence and all (00:26:07) technology responsibly and and do it (00:26:10) well, but I think uh as we go forward, (00:26:12) companies that say, "Hey, I'm going to (00:26:13) wait. I'll sit this lap out. I'll see (00:26:15) how it goes." I think you're going to be (00:26:16) so far behind. So, to me, it's making (00:26:18) sure are we doing the right things and (00:26:20) are we uh really engaging our workforce (00:26:22) and empowering them as opposed to, you (00:26:24) know, them being weary of it. I think (00:26:26) that's a big piece that we're doing. I (00:26:27) feel good about the strategy we have and (00:26:29) we've been adaptable. I mean the world (00:26:31) is changing dramatically and in the auto (00:26:32) industry from a regulatory perspective, (00:26:35) from a supply chain perspective, uh from (00:26:37) a consumer perspective, (00:26:38) >> what people are expecting from a vehicle (00:26:40) now, right? Because everything is smart (00:26:42) suddenly. (00:26:42) >> It is. So I think I have a healthy (00:26:44) paranoia about that to make sure we're (00:26:46) on the cutting edge. I send a lot of (00:26:47) emails to my team or see them and say, (00:26:50) "What are we thinking? What are we (00:26:51) thinking about this?" Or, "Have you (00:26:52) thought about this? Or are we aware of (00:26:53) this?" And nine times out of 10, or I (00:26:55) should say 99 times out of 100, like, (00:26:57) "Yes, we're on it. We're already doing (00:26:58) that." But I'm going to keep asking (00:27:00) those questions because I think it's so (00:27:02) important and I think General Motors is (00:27:04) an iconic company and I want to make (00:27:06) sure it's here 100red years from now and (00:27:08) the only way we're going to do that is (00:27:09) by making sure we leverage and um uh you (00:27:14) know embrace technology responsibly. (00:27:16) >> When everything's going on, when you're (00:27:18) looking at everything happening, what (00:27:20) helps you stay grounded and stay (00:27:21) focused? (00:27:23) >> Oh gosh. (00:27:23) >> Any rituals? (00:27:25) Um, you know, for me, um, obviously I I (00:27:28) work hard. Um, but my family, um, I, you (00:27:31) know, I'm I'm blessed. I've been married (00:27:32) for 40 years to, um, my husband. We met, (00:27:35) right? We met in college and and, you (00:27:37) know, and so, uh, just I think what (00:27:40) grounds me and what re-energizes me is (00:27:43) spending time with my family and and (00:27:45) friends. Is there like certain limit (00:27:47) that you say like I spend weekends with (00:27:49) my family, evenings are family? Do you (00:27:51) have something like that? I think you (00:27:52) have to be more flexible, but one of the (00:27:53) things I try to do on I try to make sure (00:27:56) I'm I'm pretty much up to, you know, (00:27:58) have everything done as I kind of close (00:28:00) the laptop on Friday evening and then I (00:28:03) try to not be, you know, glued to my (00:28:05) phone or my computer on Saturday just to (00:28:07) get a chance to to recharge. And then (00:28:10) usually Sunday afternoon I'm starting to (00:28:12) prepare for the next week. But I find (00:28:14) that time just even, you know, if it's a (00:28:16) half a day or a day to take that breath, (00:28:18) it it recharges me to to think about (00:28:21) things differently and, you know, (00:28:22) literally when I get back to something (00:28:24) and be like, "Oh, you know what? Um, (00:28:26) I'll I'll look at it. I'll see something (00:28:28) um, you know, different or I'll look at (00:28:29) it from a different perspective that I (00:28:30) think allows me to be more effective." (00:28:32) And I encourage people to find what (00:28:34) recharges them. But I think in today's (00:28:36) age um you have to there's things that (00:28:39) are happening so quickly. You can't just (00:28:40) say oh Friday afternoon to Monday (00:28:42) morning I'm never going to look. It's (00:28:43) just I don't think it's the world we're (00:28:45) living in. (00:28:45) >> So you still have to compromise. You (00:28:47) have to work. (00:28:47) >> But you do I would say on the flip side (00:28:49) you do have to make sure you're finding (00:28:51) that way that you recharge or you're you (00:28:53) know one of the things as a working mom (00:28:55) you know people somebody gave me really (00:28:56) great advice and said sometimes the most (00:28:59) urgent or often the most urgent is not (00:29:01) the most important. (00:29:02) >> That's 100% true of the time. Right. And (00:29:05) so you have to, you know, step back and (00:29:07) say, "Am I constantly letting what (00:29:08) appears to be the most urgent take me (00:29:11) away that I'm never doing what's the (00:29:12) most important?" Um because I know you (00:29:14) have two young little girls. Is it Lily (00:29:16) and Emily? (00:29:17) >> Oh, wow. Yes. (00:29:18) >> Yes. And um Precious is they're they're (00:29:21) little, right? (00:29:22) >> Yeah. We just got a puppy for them. So (00:29:24) >> Oh my gosh. What kind of puppy did you (00:29:26) get? (00:29:26) >> A toy poodle. (00:29:27) >> Oh my gosh. We have a dog, Hunter, and (00:29:29) he's um he's I think such an important (00:29:32) part of the family as well. But I mean, (00:29:33) I think your your children grow up (00:29:35) quickly and uh you don't get a doover. (00:29:38) So, I also as a as a working mom as um (00:29:41) you know, there's times in my career (00:29:42) where I did what some people would say (00:29:45) were crazy things to make sure I was at (00:29:46) that soccer game or at that hockey game (00:29:49) and then was still able to get my work (00:29:51) done. So, um I look back and uh I'm glad (00:29:54) I made those investments and trade-offs. (00:29:56) >> That's great. And what what about your (00:29:57) relationship with your husband? 40 (00:29:59) years. That's a lot. and I need tips (00:30:00) especially when you know you have this (00:30:02) job and you're traveling all the time. (00:30:04) What's what's the best tip that you can (00:30:06) give for women who are trying to build (00:30:08) their career but also be a good wife? (00:30:10) >> Well, you know, I'm I'm really fortunate (00:30:13) that my husband and I we kind of build (00:30:15) our careers together and he's a he's an (00:30:17) engineer with an MBA and uh worked in (00:30:20) consulting much much of his career and (00:30:22) so he understands the business really (00:30:24) well and uh you know he can be a great (00:30:27) sounding board. Um he's also a great (00:30:30) supporter. So I'm very fortunate to have (00:30:32) a husband who um you know I I feel like (00:30:35) it's a partnership and I'm really proud (00:30:37) of everything he's accomplished. He's (00:30:39) proud of me and um but we also he we can (00:30:42) give each other good good quality (00:30:44) feedback and sometimes we need it. (00:30:46) >> Support system. That's awesome. (00:30:47) >> Yes. (00:30:48) >> I know it's hard to choose your (00:30:49) favorites but what's your favorite GM (00:30:51) car? (00:30:51) >> Yeah, that is really hard for me because (00:30:53) I uh I had the opportunity to run global (00:30:56) product development. And so I felt like (00:30:58) every vehicle in the portfolio played (00:31:00) such a special role. Uh I would say (00:31:02) though uh you right now I love driving a (00:31:04) Hummer EV. (00:31:06) >> Oh my god, that car. (00:31:07) >> I love driving that. Well, it's got (00:31:09) four-wheel steer so it's so maneuverable (00:31:11) and I feel like when I'm driving a (00:31:13) Hummer EV, I get some respect. You know, (00:31:15) people are like (00:31:16) >> I definitely saw those looks when you (00:31:18) gave me the car for like a week to drive (00:31:20) around. People still compel (00:31:22) >> a girl or Yeah. (00:31:24) >> Yeah. [laughter] (00:31:26) definitely got those looks. That's (00:31:27) awesome. (00:31:28) >> But I'm also a big uh fan of Corvettes. (00:31:31) Uh so, you know, I love the styling, the (00:31:34) speed, and the heritage. And one of the (00:31:36) things that makes Corvette so special is (00:31:37) it, you know, the it's true American. (00:31:41) It's affordable. It's a Chevrolet. But, (00:31:43) you know, people come to me now and (00:31:44) they'll say like, "Oh my gosh, Mary, (00:31:46) this vehicle is as good as a vehicle (00:31:48) that is three times as expensive." Like, (00:31:50) you know, really General Motors has (00:31:52) cracked the code on this type of (00:31:54) performance. So, um, that's that's (00:31:55) always rewarding. (00:31:56) >> Yeah. And I have a weird question, but (00:31:58) you're the person to ask it. (00:32:00) >> Okay. (00:32:00) >> Flying cars. (00:32:02) >> Um, you know, there's some physics (00:32:04) involved in that. Um, you know, from (00:32:06) like, you know, there's companies (00:32:07) working on vertical takeoff, uh, type of (00:32:10) vehicles. Um, you know, I would never (00:32:13) say never because I think we're (00:32:14) innovating and and new technologies are (00:32:17) coming every day. But, uh, I think right (00:32:19) now I'm going to stay on the road. (00:32:20) >> Yeah. (00:32:21) just is it because the of the technology (00:32:24) or just what I'm thinking like do I want (00:32:26) to drive and then have a couple more (00:32:28) layers of cars above me that from the (00:32:30) safety standpoint that's weird if (00:32:31) somebody crashes then it's (00:32:33) >> right well I think about that today with (00:32:34) all that's happening with drones uh and (00:32:37) so you know and how they're how you know (00:32:39) the the government you know FAA is (00:32:41) managing airspace and about what levels (00:32:44) so like I said I don't I I never say (00:32:46) never because I think we'll continue to (00:32:48) advance I grew up watching the Jetsons (00:32:51) So, um, who knows what we'll see in the (00:32:53) future, but I think there are there's (00:32:55) there's challenges like you're talking (00:32:56) from, you know, how do who gets what (00:32:58) space and I think there's some (00:33:00) technology challenges, but I think in (00:33:02) the future probably um, you know, people (00:33:04) will solve those challenges. (00:33:05) >> Thank you so much, Mary. It was such a (00:33:07) great conversation. (00:33:08) >> Thank you. And thanks u for the time (00:33:10) you've invested in spending in our (00:33:11) vehicles. I'm glad that you love your (00:33:13) Escalade. (00:33:14) >> The best time. I love my Escalade. I (00:33:16) enjoyed the Vistic, the Hummer, uh, and (00:33:18) Buick cuz (00:33:20) >> Yes, (00:33:20) >> the Super Cruise. I'm like, the Buick (00:33:22) can now go by itself. I didn't expect (00:33:24) that. (00:33:25) >> Yes, I, you know, Buick has been growing (00:33:27) from a share perspective. And, uh, I'm (00:33:30) really proud of because it really stands (00:33:31) for premium luxury for someone who maybe (00:33:34) doesn't want what Cadillac stands for of (00:33:36) true luxury. And I'm so proud of that. (00:33:38) I'm proud of that brand and how the port (00:33:39) product portfolio is really continuing (00:33:41) to gain share uh and and conquest (00:33:44) customers for us which is which is (00:33:46) wonderful. (00:33:46) >> When when we got the Buick, my daughter (00:33:48) entered it and she was like, "Is that a (00:33:50) Maybach?" (00:33:51) >> Oh my god. I I like her. (00:33:53) >> Yeah. And I saw her review of the (00:33:54) Vistic. It was precious. Thank (00:33:56) [laughter] you so much. (00:33:57) >> She loves it. Thanks so much. (00:33:59) >> Good. Well, thanks so much. Thank you.