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Josh: A Journalist's AI Struggle

Key Points

  • Josh is a composite character representing many real‑life journalists who have seen their careers upended by AI and related industry upheavals.
  • After graduating in 2018 with a journalism degree, he landed a short‑lived newsroom job that was quickly shut down as AI tools proliferated, compounded by the COVID‑19 disruption.
  • Struggling to pivot, Josh lacks the equipment, contacts, and financial stability needed to turn his AI‑focused story ideas into published work, even moving back with his parents in Vermont.
  • He views AI not as an enabler but as a barrier that “took his job,” rolling his eyes at advice to learn coding or embrace AI as a solution.
  • The speaker shares Josh’s story to remind audiences that the AI narrative also includes difficult, under‑reported experiences that don’t fit the usual optimism.

Full Transcript

# Josh: A Journalist's AI Struggle **Source:** [https://www.youtube.com/watch?v=g-vDL5O2f_E](https://www.youtube.com/watch?v=g-vDL5O2f_E) **Duration:** 00:14:46 ## Summary - Josh is a composite character representing many real‑life journalists who have seen their careers upended by AI and related industry upheavals. - After graduating in 2018 with a journalism degree, he landed a short‑lived newsroom job that was quickly shut down as AI tools proliferated, compounded by the COVID‑19 disruption. - Struggling to pivot, Josh lacks the equipment, contacts, and financial stability needed to turn his AI‑focused story ideas into published work, even moving back with his parents in Vermont. - He views AI not as an enabler but as a barrier that “took his job,” rolling his eyes at advice to learn coding or embrace AI as a solution. - The speaker shares Josh’s story to remind audiences that the AI narrative also includes difficult, under‑reported experiences that don’t fit the usual optimism. ## Sections - [00:00:00](https://www.youtube.com/watch?v=g-vDL5O2f_E&t=0s) **Josh: The AI-Displaced Journalist** - A composite narrative about a young journalist named Josh who loses his newsroom job to AI and struggles to adapt, illustrating the broader impact of AI on media careers. - [00:03:33](https://www.youtube.com/watch?v=g-vDL5O2f_E&t=213s) **Supporting Those Struggling with AI** - The speaker urges society to listen to and genuinely assist individuals like Josh—who feel displaced and distrustful of AI—by valuing their contributions and thoughtfully offering help, rather than providing superficial handouts or policy solutions. - [00:06:49](https://www.youtube.com/watch?v=g-vDL5O2f_E&t=409s) **AI Displacing Jobs, Yet Some Remain** - The speaker recounts how AI has automated roles they once held in grant management, e‑commerce, and marketing, while urging AI‑interested professionals to lead conversations about the profound, unavoidable changes AI brings to our aspirations. - [00:10:18](https://www.youtube.com/watch?v=g-vDL5O2f_E&t=618s) **Awkward Beginnings, AI‑Driven Growth** - The speaker reflects on feeling out of place and encountering career ceilings when first entering product management, then emphasizes how AI can act as a flexible learning and practice tool that reshapes professional dreams. - [00:13:42](https://www.youtube.com/watch?v=g-vDL5O2f_E&t=822s) **Inclusive AI Revolution Discussion** - The speaker urges open conversation about AI's transformative impact on work, personal life, and society, warning that ignoring or alienating skeptics like “Joshes” will create division and exclusion. ## Full Transcript
0:00I think we'll call him Josh. 0:02Josh isn't real. Josh is an amalgamation 0:07of a lot of different stories that I've 0:09been privileged to be a part of over the 0:11last year or two. Often in a small way, 0:14often overheard in a cocktail lounge or 0:20through a conversation with a colleague 0:21or in a few cases one-on-one talking 0:24about work and life. 0:27Sometimes at a conference, sometimes at 0:30home, sometimes on the phone, sometimes 0:34out in the world walking around where 0:36people talk about AI. Josh's story is 0:40about AI. 0:42So many of our stories are about AI 0:44right now. And the reason I'm sharing 0:46this story is because I don't think 0:48Josh's story gets shared enough. 0:51Josh is a guy who got a good college 0:54education. He got a journalism degree 0:58and he has a little bit of college debt 1:01left, not a lot. And he had hoped, as 1:06many hope who get into journalism and 1:09liberal arts, to make a career for 1:10himself from a media perspective. He'd 1:13hoped to be a celebrated columnist one 1:15day. He got his start at a very small 1:20internet newsroom 1:22that got shut down very quickly when AI 1:24came along. And 1:27Josh will tell you, AI took my job. AI 1:31took my job. 1:33He never really got the chance for that 1:35to shift because he graduated in 2018. 1:37He didn't have more than a couple of 1:38years of experience in the newsroom. And 1:42then COVID hit and things shifted. And 1:44then after CO hit, AI hit. And Josh 1:46feels like he's been taking it on the 1:48chin for a long, long time. 1:51And 1:53when Josh hears advice like, "Hey, you 1:56should vibe code," he just kind of rolls 1:59his eyes. Like that's not what he set 2:01out to do. That's not what he's 2:02passionate about. He got into journalism 2:04to tell stories. 2:06He wants to tell people's stories. And 2:10Josh has a dream to tell the stories of 2:13how people's lives are changing in 2:17tangible ways because of AI. 2:21But Josh is at a local minima to use a 2:24machine learning term. Josh can't get 2:27the equipment that he needs. Josh can't 2:30get the contacts that he needs. It's 2:33much more expensive than equipment 2:35actually getting the contacts to have 2:36the right conversations with people. 2:40And Josh is struggling to get from I 2:43have an idea on my couch to I'm putting 2:46out some stories out there that help me 2:48tell that story and also I have enough 2:50to make my you know my college debt 2:53payment and make my rent this month. 2:55Josh has moved back home with his 2:57parents uh to Vermont. uh he's settled 3:00in and he's not sure where his career is 3:03going at this point and all the AI 3:05coursework that he can find and he does 3:07a little bit of learning online isn't 3:09really helping him move forward. Josh 3:12doesn't see AI as an enabler. Josh rolls 3:15his eyes when people talk about AI 3:17helping. Uh all Josh sees is obstacles 3:21uh created by AI. Frankly, 3:24AI is the one that took Josh's job away 3:27in Josh's words. 3:30And I share Josh's story 3:33because 3:36as much as I like to talk a lot about 3:39the potential that we all have to 3:41unleash with AI, I don't want to miss 3:44out on the difficult stories. I don't 3:47want to miss out on the challenging 3:49stories, the stories that don't 3:54fit as easily into that narrative of 3:57progress. And the reality is with any 4:01story of technical change, there are 4:03stories like Josh's. 4:06And a lot of the responsibility that we 4:08carry as a society is to think about how 4:11we can support the Josh's of this world. 4:15not support them in the sense of giving 4:16them uh a handout. I'm not trying to 4:20talk about policy in that sense. I don't 4:23think Josh is interested in that either. 4:25I'm talking about helping Josh find a 4:27place where he knows that he's valued 4:31for the contributions he can bring, the 4:33passion he has for telling stories in 4:36this world. finding the joshes in our 4:39lives, the ones who are feeling lost 4:43because of AI 4:46and telling them one that we're happy to 4:50listen 4:51and two 4:53that we're happy to try and find ways to 4:56help. Now, I'm the first one to say, 4:59having had a lot of conversations with 5:02uh folks who sort of have a lot of the 5:04characteristics of Josh's story, that 5:08Josh 5:10is sometimes not an easy person to help. 5:15Josh doesn't want to hand out. Josh is 5:18suspicious if you try to give him 5:19advice. 5:21Josh resents AI to the point where if 5:25you recommend a practical solution to 5:27him that might help, he's going to say 5:29no. 5:30Um, and so that makes it difficult, 5:33right? That makes it hard to find ways 5:36to be positive and helpful because 5:38sometimes we want to sort of fix things. 5:40And so, yes, sit there and listen, but 5:43also I think it's fair 5:46to check with the Joshes in our lives 5:49and say, are you open to having an 5:52honest conversation 5:55about the idea that the game board has 5:58changed? You're right about that. The 5:59rules of the game have changed a bit. 6:01You're right about that. 6:03But there still may be a space for you 6:07and your talents and your passion that 6:09you bring even if it's not what you 6:11originally imagined. Are you open to 6:13your dreams shifting? 6:17That's the thing at the root that I 6:19think we need to talk about. And that's 6:20not really an AI conversation. And I 6:22share that because that feels like 6:24that's a conversation many of us who are 6:27interested in AI, who are passionate 6:29about AI need to be having with those 6:33around us. I see the the poll results. I 6:36see that AI is not trusted. There are a 6:38lot of doshes in this world. It makes 6:41sense that that they may not trust AI. 6:46I don't blame them. It's kind of 6:49rational. 6:51But in that world, 6:54we have to be the ones, we who are 6:56interested in AI have to be the ones who 6:58are able to sit down and invite a 7:03conversation about how all of our dreams 7:05are changing because of AI. 7:10That's not 7:12that's not something that anybody is 7:14immune to. And so besides telling Josh's 7:17story, I'll tell my own story a little 7:20bit. 7:22I got my start in uh a job that AI has 7:27changed dramatically already, right? I 7:29was doing nonprofit grant management. 7:32AI can do a lot of the work that I was 7:35doing at the push of a button. 7:38Then I went over to Oracle eyes store 7:41management and conversion optimization. 7:45Conversion optimization doesn't exist as 7:46a job anymore. AI took it away. 7:50Uh, and eyesore. I mean, who has Oracle 7:52eyesore anymore? I'm sure there 7:54someone's going to come up and say I 7:55have Oracle eyesore after this, but most 7:58people don't. 8:02And then I went and did marketing and I 8:05looked at marketing attribution systems. 8:07Again, another area where AI has taken a 8:10lot of the work away. I looked at voice 8:12of customer almost totally automated by 8:15AI now. 8:18And what's funny as I say all of those 8:21things is that even though AI has made 8:24huge strides, we still have people who 8:26are grant fund managers. We still have 8:28people who are working in web production 8:31and how to make excellent experiences on 8:33the web, which is basically what 8:34conversion optimization does. We still 8:36have people who are focused on store 8:38management online, which is what I was 8:40doing with eyesore. We still have people 8:42who are focused on learning from the 8:44voice of the customer which what what I 8:46was doing when I was uh later in my 8:48career at Amazon. We still have people 8:50who are focused on marketing and 8:53understanding marketing data. 8:56Those functions 8:59still have humans doing important work 9:01in those areas, but many of the 9:03individual day-to-day skills ended up 9:06getting peeled away. And that's one of 9:08the really interesting things about the 9:10nature of work that I think we need to 9:12talk about more honestly with ourselves, 9:14with those around us, with the Joshes of 9:16this world and the Joshes in our lives. 9:20If I had stuck with any individual 9:23dream, if I had told myself, I'm going 9:26to be a marketer 9:28uh and I'm just going to do marketing or 9:30I'm going to be in conversion 9:31optimization and get really good at 9:33that. or more recently I'm going to be 9:36in product management and get really 9:37good at that cuz I've done a number of 9:39different product management roles now. 9:43I would have 9:45given myself a constraint on my dreams 9:48that I did not need to have. 9:51Instead, I've been focused on what are 9:54problems that I can run after solving as 9:57hard as I can. How can I figure out how 10:00to add value against those problem 10:01spaces? Even if it feels scrappy today, 10:03even if it feels cluy, even if it feels 10:07awkward, even if it feels like I'm not 10:09doing a great job because I'm new at 10:10approaching the problem in this new way. 10:15When I was uh you know first getting 10:18into product management, I felt really 10:21awkward. When I was first getting into 10:24the professional workplace decades ago, 10:26I had the exact same feeling. I felt 10:28awkward. I felt like I didn't fit. I 10:30felt like my professional skills were 10:31rusty because they'd never been used. 10:35Every time we learn a new skill, it's 10:37like that. Every time we begin again, 10:38it's like that. And it's especially 10:40painful because that is the moment our 10:42dreams are in flux. That's the moment 10:44our dreams have to change because we 10:47learn the realities of the professional 10:49workplace. We learned the bitter reality 10:51that if you were in a particular product 10:53management role for a while, there's no 10:55guarantee above senior PM that you are 10:58really going to progress in your career. 11:02This is, you know, I'm in product, 11:04right? Like this is something I know 11:05very well. I talked to a lot of other 11:06PMs about and so I can share. But you'll 11:09have similar ceilings everywhere. 11:13And 11:15the thing that AI enables us to do in 11:17this world that has been hard at every 11:20other point in human history is it 11:23enables us to dream differently. It 11:25gives us more flexibility on our 11:27dreaming. It gives us the ability to 11:29stretch our wings in new areas very 11:31easily. It's an incredible teaching 11:33tool. Yes. It's also a tool that enables 11:35us to practice our skills confidently. 11:38We can practice our interview skills if 11:39that's what we're working on. We can 11:41practice our coding skills if that's 11:42what we're working on. We can get 11:44someone to help us read a new book and 11:46learn a new skill set from that book. If 11:49you want to learn the why machines learn 11:52textbook by Anneil right here, 11:57you can do that. You can literally take 11:59a picture of a complicated diagram that 12:01you don't understand and you can get AI 12:03to help you learn it. And that's just 12:05one example. 12:10I I know that Red Bull gives you wings 12:13as trademarked. I know we can't say AI 12:15gives you wings, but that's the vibe. 12:18That's the vibe. And one of the things 12:21that I would like us to be able to do is 12:23to be honest about the fact that even 12:24though AI gives us a lot of flexibility, 12:27it gives us a lot of upside. 12:29It does mean a different world. It means 12:33our dreams are going to be different 12:35because the world around us is changing 12:37so fast. 12:39I do not expect product management to be 12:41the same discipline in a year, two 12:43years. It's already changing really, 12:45really fast. 12:48People are looking for builders of all 12:50kinds and they are increasingly less 12:52looking for particular defined roles 12:55that have particular defined expertise 12:57chains in a particular job family and 13:00that is leading to a lot of confusion 13:02and heartache. That is why major 13:05companies can say AI automation 13:07engineers can apply to literally any job 13:10in the company. 13:13The new world is a confusing place. 13:16And so my encouragement is if you have a 13:18Josh in your life, find a way to gently 13:24ask if they're open to having a 13:25conversation about the idea that they 13:27might be welcome, useful, loved, their 13:29passion is important, but their dreams 13:32might need to shift. And ask yourself 13:34that too. Where do your dreams need to 13:37shift? Because AI is coming for us all. 13:40Not coming in the Skynetut sense, but 13:42coming in the sense of changing 13:43everything we everything we work at. 13:46Changing how we interact in our personal 13:48lives. Changing how we are able to 13:53get from where we are today to where our 13:57dreams might be and along the way 13:59changing where those dreams end up. 14:03This is this is the trade-off we live 14:05with. We've taught the sand to think, 14:08but because the sand thinks, everything 14:11is different now. 14:13And so, it's up to us to figure out how 14:15to turn that revolution into something 14:19that we can all participate in and all 14:21enjoy and all live with. And if that 14:23sounds really kumbayan, that sounds 14:24really cheesy, feel free to roll your 14:26eyes. But it's a real conversation that 14:28we need to have. And the more we roll 14:29our eyes and step away from it, 14:31especially with the Joshes of this 14:32world, the more we create a society 14:34where some people feel really left out 14:36on AI and really angry about AI. That is 14:39not a society I want to live in. So talk 14:41to the Joshes in your life. Cheers.