The Quiet Collapse of Entry-Level Work

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This week on the Andrew Yang Podcast.

And I think that's why we have to take a step back, look at the incentives that we're putting in place for companies for hiring and firing, and, and look at the capital markets. And I'm very pro-capitalist, but I think there's some intervention that's, that's required and has worked successfully in the past. Otherwise, I think it's gonna play out very similarly to what we saw in the '90s with the manufacturing shock. Let's be straight with people and then let's give them the, the tools that so that they can take action. People in America are ambitious and they, they do the right thing when they're given the right information.

It is my pleasure to welcome to the podcast the founder of the brand new New Work Foundation, technologist, AI pioneer, tech executive, and all-around badass, Clara Shi. Welcome, Clara.

Thank you, Andrew. It's great to work with you and to be on the pod.

Yes. So when you say work with me, I'm a founding advisor to the New Work Foundation. Uh, you and I connected before you kicked off the foundation. Uh, so let's just get right into the why the heck would you leave a crazy lucrative career to try and save workers? Like, what the heck is the New Work Foundation and what's driving you?

Well, first of all, thank you for everything that you have done. You were the first person I heard talk about this idea at the time, seemingly crazy idea of a universal basic income. And I think at some point, there just comes a time when it's not just about how much money we can make and how many more users we can monetize. It's about what is happening to our society, to our kids' future. And somebody's got to— people have to step up just like you have. And So I feel very inspired by everything that you have done. I did leave Meta earlier this year, and the New Work Foundation is a nonprofit dedicated to equipping young American grads with the AI tools, skills, and community they need to navigate today's wild economy.

Yes. So you left Meta. You, I mean, let's give people your bio for a minute because it is incredibly impressive. You were You were a computer science major at Stanford. I think you might even have gotten a graduate degree in computer science from Stanford as well. Is that right?

Yes.

And then you helped build out Meta's AI tools over the last number of years. But before that, you founded a successful company called Hearsay, which you led for years and years, and it got acquired by a public company some years later. So you've done the entire founder thing as well as been a senior leader not just at Meta, but I want to say Salesforce as well. Is that right?

Yeah.

Yeah. So you've been there, done that. And then I ran for president a number of years ago, and there are some folks in Silicon Valley who are like, oh yeah, AI is definitely going to come down the pike. I mean, I know I went and met with and spoke with a bunch of leaders there. And even though ChatGPT was still several years away, a lot of folks thought that AI was going to come down the pike and eventually start replacing workers in earnest. When was what was the first inkling that you got that there might be something changing for the workforce that was not going to be like a cyclical thing, but instead a structural one?

You know, to be honest, I think I was, I had largely thought that AI and automation would affect blue-collar work. And I know that's a topic that you've spoken extensively about over the years. And I was very optimistic and I still am optimistic, although conditionally so, I was optimistic that it wasn't really going to hurt white-collar work. It would be more of an augment until last year. Last fall, when those agentic reasoning models came out, initially GPT-4 and some of the latest models from Claude and Anthropic, I started to see how that was impacting the work that we were doing at Meta. Everything from prototyping and generating marketing materials to the actual coding itself. And then it's a little bit meta, no pun intended, but we were also— we are also building AI agents for businesses that advertise on Meta to use with their customers. And when we got feedback from those businesses that, wow, the Meta Business AI Agent is working today— you know, by the way, we just crossed 1 million businesses that are using Meta Business AI agents, but the feedback they were telling us was that they no longer needed as much of their staff. Then it kind of hit me that everything that you've been talking about that's been happening to manufacturing work for the last decades, that is starting to happen to white-collar work, starting at the entry level. And I kind of looked around and I felt like something had to be done and I don't want to be a bystander.

Well, so you started to feel like you were a character in a movie. I had that feeling too, Clara, where you're like, oh my gosh, I know something. It's a little bit like that scientist in the disaster movie where you know the volcano is going to erupt and you're like, oh, I'm just going to go tell the town. So I want to—

Exactly like that. And you kind of risk sounding crazy and you don't want to be that alarmist person. You don't want to be Chicken Little. And yet I just couldn't sleep at night not speaking up and not taking action.

Well, I am, I'm so glad you did, Clara, but I want to unpack what you just described. So Meta is helping millions of businesses reach customers every day. They advertise on Meta's platforms, and this is true for just about every business under the sun you can think of. And then Meta developed AI agents to help advertisers, help these small businesses. And then the small businesses started using the agents and were happy with them, and a million businesses did so. And then you started hearing from some of these businesses, hey, thanks to your agent, I don't need to employ people myself to man my, uh, Meta advertising accounts. Uh, like, oh, it was that the, um, the type of message you were getting?

Yeah, fewer people, fewer external agencies to manage my ad campaigns, fewer people to answer customer support questions, fewer people to drive e-commerce sales because the AI, the business AI agent can do so, so effectively and efficiently. Wow.

And the businesses that you're hearing this from, these million small businesses, I imagine they ran the gamut. It could be anything from some pizzeria and some from small town all the way up to like a fairly big company?

Yes, there's a wide variety of companies that advertise on Meta. But exactly right. There were solopreneurs in Mexico and in India that run their entire business in WhatsApp. There are bigger, well-known brands that drive a lot of their e-commerce sales through Instagram. Kind of across the board, and it's a consistent theme of they're able to do more, with fewer people. And when you multiply that across an entire economy, I mean, it's not that there's not going to be great wealth creation from AI, but it's this bumpy, messy transition of how do we help people who would get displaced along the way?

Yeah, it's one reason you and I connected is you started putting stuff out there being like, hey guys, even if I'm an optimist, and you consider yourself an optimist, you have to know that this transitional period could be disastrous for a lot of people, and that those people won't necessarily have the wherewithal to keep their heads above water during like a, you know, multi-year period, let's call it. And I've been saying in various news interviews recently, so I run a small company, Noble Mobile, and we have replaced various workers with AI. And, uh, those workers tend to be junior coders and junior analysts that we totally would have hired. And we had a job posting out for a while for, um, at least one of them, and then realized that we could do without. Uh, one of the things that I'm saying on air is, look, if I have a job posting out, there are a lot of costs associated with hiring a person and employing them that AI does not have. Um, and so the examples I was using were Social Security tax and FICA and the 8 to 10% that I, I spent on payroll taxes, and then the equivalent of 8 to 10% for a lot of businesses on healthcare, because just about no small business says to an employee, hey, we're paying zero of your healthcare. That's not really a thing. Like, the employee would be like, well, you know, it's part of my benefits package. And that can be thousands of dollars a month, literally, you know, for certainly a family. So that's around 8 to 10%.. And so you're looking at maybe 20% of extra overhead, even before you factor in the income taxes that the worker themselves are going to pay. Meanwhile, the AI agent doesn't have any of that stuff. It's like, you know, you just put the agent to work. And, and also, you know, not for nothing, the company that made the agent is not going to pay taxes either. The entire thing. So we've made it onerous and cumbersome and expensive to employ a human to do something. And then the AI can do it much more efficiently and expediently.

Well, that's right. I mean, and I think that's why we have to take a step back, as you've urged us to do for many years, and look at the incentives that we're putting in place for companies for hiring and firing, and look at the capital markets. And I'm very pro-capitalist, but I think there's some intervention that's required and has worked successfully in the past. And otherwise, I think it's going to play out very similarly to what we saw in the '90s with the manufacturing shock here in the US, where, you know, workers were misled. They were told that the menial, low-value tasks would be offshored to Mexico and China and that only the premium, high-paying jobs would remain in the US. Of course, in hindsight, we see how, how untrue that was. And yet the same thing is happening again with, with today's AI narrative. And so let's be straight with people and then let's give them the tools that so that they can take action. People in America are ambitious and they do the right thing when they're given the right information.

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So I've got a somewhat— it's not that personal a question, but you live in Silicon Valley, right?

Yeah.

Um, so there have been stories of various mass layoffs. You were at Meta, and then there was a story that just came out saying, hey, morale's really low, um, like at Meta, um, because, you know, they're training AI, or they, you know, fired some people and are investing in AI. What's the vibe in Silicon Valley? Is there like— because, you know, then also these stories I've seen on social media where a middle manager got laid off, and it's gonna be hard for that person to find another job that pays them at the same level. They might have some, um, expensive mortgage in Silicon Valley. Like, I'm just curious. I haven't been on the ground, um, in the Bay Area for like a few months. And so I was just wondering, uh, whether you pick anything up just, uh, living and breathing there.

Yeah. I mean, I'll just say having worked on AI, frontier AI at both Meta and at Salesforce, It's a mix of, you know, feeling great privilege and excitement over how quickly the technology is moving, how powerful it is, but also a little bit of angst at how quickly it's moving and how your competitors have access to all the same stuff that you do. And so, you kind of like constantly, you're working 996, 997, just to be able to keep up and keep your edge. And you really can't rest on your laurels. I'd say that there's a huge swath of people in tech who are not working on AI, either on the models or on the applications. And those people, their roles are highly at risk. And so everyone is scrambling to try to get as much AI knowledge and skills as they can.

So when you say 996, 997, some people may not be familiar with that. That's like 9:00 AM to 9:00 PM, 6 days a week or 7 days a week?

That's right. I worked 7 days a week, every day at Meta, and then the last couple of years at Salesforce when I was focused on AI.

Yeah, I mean, there's a lot of intense striving right now, and there's a sense that the gates are closing. And so you got to get out through the gate in the window, or else the gates are going to shut, and then you'll be on the outside looking in. I mean, that seems like one of the animating motivators.

That is a sentiment that I have personally felt and I have heard from others here.

Okay. So one of the things, again, I appreciate you putting out there was like, look guys, even if you're optimistic, this transition's gonna suck. There's gonna be a lot of pain, a lot of suffering. I saw almost in lockstep, maybe 6 to 8 weeks ago, all of the major social accounts of various AI folks were like, we're not talking about AI replacing workers anymore. And then you saw some stories being like, it's not replacing workers, like it's gonna create jobs, we're gonna hire more, engineering job posts are up. And I have to admit, I was like, wow, it seems like there was a memo circulated and everyone got the memo. I was just curious whether you saw the same thing and whether— like that there was a sense that everyone was like, look guys, let's just stop talking about this.

Yeah, there's certainly been a change of tune. And I mean, who knows for sure? Only the people who are the ones tweeting and talking about this will know how they really feel. But I mean, if you just look at the timing, these companies, OpenAI, Anthropic, they're about to go public. And I mean, you do want public support for AI. I want public support for AI. The answer is not to pause development. That would be bad for the economy. It would be bad geopolitically. Um, but there is a way to, to, to thread the needle, or at least try to thread the needle so that it isn't just wonderful for a very small percentage of the population and terrible for everybody else. So I think that striking this balance between don't be an AI doomer, we want to support AI, AI can be good, but it's also, you not going to be good on its own. And current course and speed, it's looking to exacerbate a lot of the issues that we already have in our society, whether that's polarization or it's this wealth inequality.

Yeah, I, I think your case is the right one, which is, look guys, we can be forthright about the fact that, uh, there's going to be some awesome stuff coming with this, uh, development of AI, and then there's going to be some not so awesome stuff. So like, let's try and come together and strike a balance. One thing that I was fascinated by was the CEO of Goldman Sachs put out an op-ed saying like, look, AI and jobs are going to be A-okay. And then I talked to someone inside Goldman Sachs a little while ago and he was like, we're going to fire half the people. Like there was—

Well, I think that's the challenge between wanting to pitch yourself to be the lead investment bank for one of these AI labs IPO, both of their IPOs, versus the reality that every public company CEO faces right now around margins and driving cost cutting.

Yeah, I mean, that was not lost on me, Clara, that there are like a lot of motivations for various corporate chieftains and institutions. It is one reason why I appreciate the stance that you've taken because One, I think it's evidence-based and lucid and reasonable, and most people agree with it. But two, you've also gone out and said, look, I don't need to actually be trumpeting the tune of a particular company that I'm associated with. Like, hey, I'm just a wholesome foundation head. Who could be against New Work, the New Work Foundation? And you announced this at the Time 100 gathering that happened recently. So talk about how the foundation has come together. Who are the early backers and what your life has been like for this past number of, really it's just like weeks now because this was announced, you know, maybe 1 to 2 months ago.

That's right, we launched just in April and the response has been really heartening. I mean, it's really, it's amazing to see how many people care and they don't care just in terms of social media engagement, they care in terms of dollars, in terms of wanting to volunteer to help the organization, wanting to volunteer as a mentor. And so as I looked at this problem, you know, it's a very big problem. And I believe that AI will displace a big part of the labor market, but we wanted to, we had to start somewhere. And so I wanted to look at where the statistics were the most worrisome. This Stanford Digital Economy Lab paper that came out last November and similar stats were just published by the US Census Bureau, but essentially they looked at, employment in the US over the last decade since COVID started. And they took out— they adjusted for the post-zero interest rate policy. They adjusted for COVID, other macro factors, and they isolated that in particular for entry-level workers, specifically aged 22 to 27. The labor effects are pronounced. So you can see in this graph there's two different roles that they happen to profile here, but they actually studied a number of common white-collar jobs that typical American grads have gone into. And you can see in both customer service down here and software engineering, the dark blue line, it's kind of growing at pace with the other tenure of folks until ChatGPT launches. And then you can see the trend line. It's a very clear and stark trend line. Early career, age 26 to 30, it's the older Gen Z group. They're affected too, but not as much. Because they do have some more experience under their belt. And so this is where we're— this is the problem that we're focused on at the New Work Foundation. And what we've done with your guidance and with the help of many others is we've realized that, first of all, there is an information asymmetry between what people working in AI in Silicon Valley know and what everyone else needs to know. And so the first step is to demystify what's going on with the job market. And help young people know that they're not alone when they, they don't hear back from these jobs that they apply to. And so we're going job by job across all the most popular majors in the US, from marketing to accounting to software engineering to legal, finance. Those episodes are coming next. We're sitting down and we're talking to actual hiring managers, not the CEOs who are really far removed from entry-level hires, But the first and second line managers who work with new grads every day, we're understanding from them how exactly has AI and AI agents transformed marketing or accounting. What are the workflows that people need to have done to get hired? We also are including Gen Z guests in this content. And we specifically are choosing people who had been job-seeking for 6 months or more so that they can empathize and be vulnerable and let others know that they're not alone, but that who ultimately got hired so that they can, we can end on a high note and they can give practical tips and advice to their peers on how to land a job.

I love this so much because you know that there are tons of recent college graduates who are going home to mom and dad and chilling and not chilling at home. They're like applying for jobs from home, uh, and getting demoralized. They're in their parents' basement. Their parents are like, oh, uh, what went wrong? And really the young person hasn't done anything wrong. It's just the, the nature of the market now, as demonstrated by the curves that you point out.

That's right.

So, yeah.

And I want to— I'm kind of lingering on this marketing episode because on the left there, that's Samantha. Samantha Wen. She is one of the co-founders of the New Work Foundation. She's 25 years old. She graduated from UC Berkeley with a double major with honors a couple of years ago. And she spent 11 months looking for work. She applied. She's very disciplined. She applied to 10 jobs a day. Every single day for 11 months and got nothing but silence. She was lucky to get a rejection. Oftentimes it was AI filtering out her resume. She went and interviewed a few places. Ultimately, they closed the role, didn't hire anybody at the entry level, and she finally landed something. And so she, she does talk about exactly what you said, which is she was living with her grandmother and starting to question her, herself and her whole life. She's been a top performer. She's been high achieving. She was valedictorian of her high school. She, she did 2 internships when she was in college. She did everything right. This is exactly the type of person that we need to make sure gets hired in our economy and in our society.

Yeah. As a young person, and it's easy to forget if you're an established professional, but your self-esteem is quite fragile, really, you know, and you think, hey, I believe I can contribute. But if the world never gets back to you, then maybe you're like, maybe I can't contribute, you know, maybe I don't have—

And not just young people. I mean, I see senior folks, I see mid-career folks who are getting laid off and it kind of shakes their whole identity.

Yeah. Yeah. So I'll throw in my own personal experience, which is I started a company when I was 25 that went bust in the first bubble. Shows how old I am. This is when the dot-com boom of 2000 turned into a bust and hurt my self-esteem a lot. I still owed six figures in school loans. My Asian parents, I would lie to their friends and tell them I was still a lawyer because they didn't want to say that, you know, I was a failed entrepreneur.

A lot of young people feel that shame today.

Yeah, yeah, they do.

And so it's great that you've got that empathy.

Yeah, and, and in my case, Clara, too, I, I write about how, um, I stopped going out to dinner with my friends because they all had fancy jobs and would choose expensive restaurants. And so I, I needed to find some new, new friends for my new situation. Uh, but that was the result of an entrepreneurial venture gone bad. Like today, it's just, you know, can't find a job. And some parents might not understand that the landscape has changed. And so they can start, you know, subtly being down on their kids. It's like, it's really a nightmare. When I ran for president, I wasn't talking about recent college grads in this way. I was talking primarily about blue-collar workers. And sometimes I joke with people, it's like, if I had seen ChatGPT coming, would I have talked about recent college grads? Because they're less politically attractive as a group. Uh, they're less sympathetic, I should say. Um, but one of the things I suggest to people is like, look, still a human being with a dashed career and like dashed dreams. I mean, you know, like, you, you should sympathize. I mean, this is a real massive, uh, social problem, economic problem.

These are critical years because so much of our professional identity gets formed right at that moment after you graduate from college. And it affects people's entire career and life trajectories. And so now there are millions of these kids who are going through this. And this is our voter base. It's our tax base. It's people who are going to delay marriage, delay getting a mortgage. There's going to be tremendous economic ramifications. And that's why we have to do something.

It's the founders of the future too, because like the only way you wind up starting a company is if you've gotten a couple of experiences under your belt. And so like, you know, if your experiences as— and no offense to anyone— is like as a barista in retail, like the odds of you then busting out, um, you know, uh, the resources and confidence and a network and know-how necessary to start a company in various, uh, industries is going to drop precipitously. So I'm with you on all of those counts.

And there's a kind of a chicken and the egg problem right now too, where in order to get hired, you have to have had work experience. But if you're one of these millions of 20-somethings in the US, it's like, how do you get your first, how do you get your foot in the door into the labor market? And so that's something also that we're working on at the New Work Foundation is that, you know, we've got this content, but we're also, of course, building an AI agent, and it's a career coach agent where job seekers come in and they tell us, they paste in the URL for the last 1 or 2 jobs that they applied to and didn't get. Then they give us their LinkedIn profile. Our AI does a gap analysis on what their missing skills and experience are. And then, this is where it gets really good, is we match them into a pod with 5 or 6 peers from across the country. So if you just graduated from, you know, UC San Diego with an accounting degree and you've been looking, well, great, you get to meet 5 or 6 other accounting, you know, aspirational accountants. And then each pod gets assigned an industry mentor and they kind of go through building side projects together, learning how to close the books with AI, just hands-on experience. Sometimes helping a local nonprofit or small business so that they have that work experience and those AI skills so that they can be hireable.

Yeah, I just sat down with a young person who had a very significant career gap on his resume, and I told him, it's like, look, man, you just got to list the things that you've done during this period that seem business relevant. And he had them. It's just, I mean, they weren't in the structure of a full-time job, but it's like, just frankly, and I was like, look, I see this from young people where it's just like Johnny Smith Consulting and then like various clients. And it's like, look, I'll take it. I mean, it just shows that you are actually productive and generative and maybe somewhat entrepreneurial during that period. That's vastly superior to a gap. And I'm sure either his peers would tell him the same thing or AI would tell him the same thing. And this is someone who did graduate from a high-level institution. So, you know, you would think to yourself like, oh, they would have that stuff already figured out. But it's very much not the case. Like, everyone could use a hand. Everyone could use some peer support.

Yeah. And that is something that the AI+ community, right, that person's lucky to have you as a mentor, but everyone needs a little help. And certainly I think back to when I was starting my career, I had lots of mentors. I'm sure you did too. And so let's do that for people.

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And Andrew McAfee.

Yeah, yeah. Andrew McAfee was a co-author on his book, but Martin Ford is another author who impacted me a lot. Andy Stern. Like, there are a bunch of thinkers, Eric among them. And so Eric's been on this from, like, you know, before day one, like, you know, day minus one. The Second Machine Age might have been written in 2015 or something along those lines.

A really good book.

Yes. So I read it back then, was like, oh yeah, this guy's right. Now, at the time, I wasn't like, I'm going to run for president on this, but I was like, But hey, I did. And now you started the New Work Foundation. So it's all like people setting off sparks in someone else's mind. I mean, Eric set off sparks in my mind and it looks like I might have contributed to your taking this direction, which I'm sure everyone listening to this or watching this is super grateful that you are embarking in this direction because you're trying to address a real structural problem that's going to affect millions of young people. And doing it in an incredibly smart, effective way, like, you know, like 99th percentile in terms of nonprofit-type initiatives, because you've probably hired how many people in your life?

Thousands.

Yeah, yeah, right.

Yeah.

So it's like you personally hired thousands of people. You're like, okay, I get it. And then you're starting to try and break down the process and be helpful. You're almost like a college guidance department on steroids. Like if they had Silicon Valley know-how and tech savvy and to some extent resources. So as you continue to break new ground with the New Work Foundation, like, where do you want it to go?

Well, I think we're really treating this like a tech startup. We happen to have a nonprofit mission, but everything else about what we're doing is a startup. We're trying to get to product market fit with our AI coaching agent and our pods. We're testing different pod sizes, whether they should be remote or hybrid. We're testing the matching with a mentor and the next best actions that we recommend to pods based on their sophistication level. So, for example, if people are earlier in their journey in terms of AI experience, the first thing that the mentor may have them do is take a very basic prompt engineering class. And there's tons of them. Out there, but just having an accountability partner and kind of a study group to check in every week. If they're further along in our journey, as, as one of the pods looks like it's shaping up to be, then it's really about getting hands-on and, okay, let's, let's start deploying coding agents and build this workflow to help this nonprofit manage their donor database. And that's real proof of work that, you know, is, is, I think speaks volumes more than just a resume that employers are looking for these days. So I think the next step is, you know, how do we get to PMF, product market fit, then scale this? And right now it's been, you know, all volunteers, but we just got our IRS 501 nonprofit status. So want to raise some money and we want to really do what we can to help.

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All right, so there are a bunch of people who are watching this or listening to this right now like, ooh, I have a young person in my life. I should totally send them to the New Work Foundation. But there also could be donors, there could be volunteers, there could be mentors, there could be other advisors like me. Um, though I, I will also become a donor by virtue of your brand spanking new C3 status. So how can people either participate, lend a hand, and where should they try and send the young person in their life?

Okay, so people like us go to newworkfoundation.com and there's all the information there about how to donate, how to volunteer. How to be a mentor, et cetera. And then our Gen Z consumer-facing brand is Dear Cece. So they can go to— they can send the young people in their lives to dearcece.org, as well as we primarily distribute our content through video shorts. So YouTube Shorts, Instagram, TikToks. We really know our audience. That's where Gen Z likes to consume information. So for every content long-form episode we do, we chop it up into 10 or 20 shorts that we put out there.

Wow. You know what that reminds me of a little bit? You're like a Khan Academy for finding an early career job. You're like the new Sal Khan of job finding and interviewing and the rest of it, Clara. You're going to become the voice in everyone's head, just like Sal's like the voice in all of our kids' bedrooms. Sorry, Sal. Do you know Sal?

Yeah, I've met him and very inspired by his work. The great thing is it isn't just me. Like I said, my co-founder, I have two co-founders, Nick Mehta, who's also a Silicon Valley longtime tech executive, and then Samantha. And I love that Samantha brings her Gen Z energy, her ideas. She tells me when we're we're optimizing for the wrong audience or doing cringe things. And then she's also built up this entire Gen Z advisory board. So we've got a dozen people from all across the country who are testing our products. They're giving us feedback on the content. They're running surveys in different parts of the country so that we can get an on-the-ground pulse of what's going on.

It is great to have a young person keeping you young and making sure you're hip for the youngs. That is like what— I guess, relative drawback to the year of my birth where, you know, not quite as naturally plugged into internet culture and the rest of it. I have, in my case, I have a 13-year-old and a 10-year-old who are a little bit below the target demo, but thrilled to be working with you to help solve this problem. I'm passionate about helping young people. Big picture, I feel like we've really screwed/shafted young people in ways big and small. Some of them have given up and checked out, which makes me super sad. Like, I try and tell young people, it's like, look, I know the numbers too, but like, you cannot sell yourself short. Like, you know, you have to believe you can build an awesome career and a positive future, even though it might be a little more difficult than either you want it to be or that it might have been in another era. And so you are a concrete effort to make those words true. It's like, look, like you can go out and find it, build it, learn it, become it. Thrilled for you taking this step. If there were 100 folks like you in Silicon Valley joining this effort, like we'd have a much better shot. So really just kudos to you for having the character and the empathy and the vision to take this challenge on.

Well, thank you for being an inspiration. And, you know, for all those young people who have lost hope, AI actually ironically gives you a new chance because it's leveling the playing field for everyone. And I want to help you. Everyone at the New Work Foundation wants to help you. And we're going to do this. We have to do this.

Yes. Clara Shi, newworkfoundation.com or dearcc.org. For the young people in your life. Pumped for the next steps, and congratulations on, on launching this important organization. I hope it improves the lives of millions, and I'm sure it's on its way.

Thank you for all of your support and everything you do.

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