The AI Daily Brief: Artificial Intelligence News and Analysis - AI Has a PR Problem

Episode Date: December 7, 2025

Today’s episode explores why public distrust in AI is accelerating, from Edelman data showing sharp divides across income, age, and geography to a broader mix of tech fatigue, social-media backlash, political posturing, and economic anxiety that’s shaping perception more than direct experience with the tools; it also looks at how concerns around job cuts, energy use, and unclear corporate motives amplify the narrative, and what early signals suggest might actually rebuild trust, including real training, clearer intent from leaders, and more concrete examples of the future AI could improve.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? [e-mail]

Today on the AI Daily Brief, why AI has a PR problem. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends, quick announcements before we dive in. First of all, thank you to today's sponsors, KPMG, Blitzy, Rovo, and Robots and Pencils. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcasts. And if you are interested in sponsoring the show, send us a note at sponsors at aidailybrief.aI. Welcome back to the AI Daily Brief. Today we are talking about a subject, which I'm sure will be not a surprise at all to any of you. We are talking about AI's PR problem. There are a number of things going on and stories from the last couple of weeks, which all point in a very similar direction. So today we're going to talk about those stories, what I think is at the root of these challenges, and some very first nascent thoughts on what we can do about it. Let's talk first about this Edelman study. Coursera founder Andrew Ng wrote,

Separate reports by the publicity firm Edelman and Pew Research show that Americans, and more broadly, large parts of Europe and the Western world, do not trust AI and are not excited about it. Despite the AI community's optimism about the tremendous benefits AI will bring, we should take this seriously and not dismiss it. The public's concerns about AI can be a significant drag on progress, and we can do a lot to address them. According to Edelman's survey, in the U.S.,

49% of people reject the growing use of AI and 17% embrace it. In China, 10% rejected and 54% embrace it. Pew's data also shows many other nations much more enthusiastic than the U.S. about AI adoption. Positive sentiment towards AI is a huge national advantage. On the other hand, widespread distrust of AI means individuals will be slow to adopt it. Valuable projects that need societal support will be stymied, and populist anger against AI raises the risk that laws will be passed that hamper AI development. So let's talk about this trust study. Edelman publishes their trust barometer every year, and this year's surprise, surprise, the big theme was AI,

and kind of frankly, AI consternation of the type that Andrew was just talking about. This survey was conducted very recently, October 17th to the 27th. And boy, is this all telling a single story. Edelman's headlines include one, that globally rejection for AI outweighs enthusiasm with U.S. respondents more than twice as likely to say they reject the growing use of AI than they are to embrace it. Even beyond AI, enthusiasm for innovation is not guaranteed. Trust in AI generally lags behind trust in technology.

Now, the risk of being overly reductive, there is a very very, very clear East-West divide here. Although, frankly, probably a better way to put it, would be developed economies versus developing economies. The survey interviewed people in five countries, Brazil, China, Germany, UK, and the U.S., with at least 1,000 interview respondents per country. In Germany, the UK, and the U.S., a significantly higher number of people said they rejected AI versus embracing AI. In Germany, it was 42 to 16. In the UK, it was 46 to 18. And in the US, we had the biggest gap, a 32-point difference, with 49% of people saying they rejected AI, and only 17% saying they embraced it. In Brazil and China, it was the opposite. Brazil had 24% saying they rejected

AI versus 35% embracing it, and China had 10% rejecting it and a full 54% embracing it. Edelman found a big income divide, with people who are lower and middle income being more likely to say that AI would leave people like them behind than those in the top 25%. Although in the U.S., the numbers were high across the board, with even high-income folks seeing 47% say that they fear that AI would leave people like them behind. This fear of getting left behind is, I think, one of the key issues that we're going to have to contend with. Unsurprisingly, young people have more trust than AI, but US young people are still distrustful, with only four in 10 US young people trusting AI, and folks in Germany, the UK and the US are very skeptical that AI is going to help any sort of issues

from climate change to work life to mental health, to political polarization, to poverty. In one bit of good news, there is a correlation between people being more informed about AI and having higher enthusiasm, meaning in other words that the more we have people engage with it, the more we might have a more productive conversation. This reminded me of a report that I saw earlier, as tweeted by Business Insider, reporter Brian Metzker, Senator Josh Hawley, one of the biggest AI critics in the Senate, told me this morning that he recently decided to try out chat GPT. He said he asked a very nerdy historical question about the Puritans in the 1630s. I will say, Holly said, it returned a lot of good information.

Another bit of, I guess good news, although sort of bad news, but maybe good news, is that a lot of the problems with AI are perception problems rather than things that people have actually experienced. For example, among those who reject the growing use of AI, still only 18% said that they personally had had bad experiences with generative AI versus 70% who said they had not. In general, when it came to why people weren't willing to use the tools, motivation and access and intimidation, while prevalent, were less common than general trust issues. Unsurprisingly, the more that people have used AI, the more likely they are to report benefits in things like my speed at getting things done and my understanding of complex ideas and concepts. Again,

indicating that if we can get people to use these tools, it may change their perceptions of them. Another thing that becomes clear with this study, though, is that it's not just AI generally, but also the way that companies and people are interacting with AI that is causing issues. when asked which potential impact of generative AI on society is more likely, that business leaders are fully honest about job cuts or that business leaders aren't fully honest with employees about job cuts. Unsurprisingly, seven and ten folks in the U.S. said that business leaders aren't being fully honest with employees about job cuts, which certainly is feeding into the anti-AI

narratives. And something that I absolutely berate companies that pay me to come talk to them about. When people were asked what would increase their enthusiasm for using generative AI and work in life, two answers relating to employers. scored highly. Fifty-seven percent of U.S. respondents said that their enthusiasm would be increased if they were getting high-quality training through their employer about how to use AI effectively, and 59 percent said that their enthusiasm would increase if they felt sure their employer was using AI to increase productivity versus eliminate jobs. One of the things that I talk about all the

time with any company who will listen is that you have to have an open and honest conversation with your employees about how your leadership is thinking about AI. That does not mean that you have to pretend that there's no situation in which changes in the technology landscape aren't going to impact certain roles and jobs. But to the extent that your company views AI as an opportunity creation technology, not just an efficiency and cost-cutting technology, the more you can do to articulate that and be real with it, the better off you're going to be and the more employee buying you're going to have. They also found that long-term job security boosts likelihood to embrace AI. Among those who said that their job security due to AI was increasing, 50% said that

they embraced AI as opposed to just 21% who said their job security due to AI is decreasing. And by the way, for those who think that this is a partisan issue, it is actually wildly nonpartisan. Going back to that question of what would increase enthusiasm for using generative AI, among workforce priorities, we heard about that high quality training, but they also asked about the idea of employers being required to retrain or redeploy employees that were displaced by Gen.A.I. And very similar percentages of left, center, and right folks said that those things would increase their enthusiasm for Gen A.I. On the training question, 60% of the left said it would increase their enthusiasm, 61% of the center, and 67% of the right. On the retraining requirement, you might think

that the right, who historically have antipathy towards markets being forced to do anything would be the lowest, but they're actually the highest, once again, at 60%, as compared to the left's 59% and the center's 54%. But surely when it comes to government priorities like safety nets, we're going to see more of a divide, right? Not according to this study. When asked if an income safety net for those who lost their jobs to Gen A.I would increase their enthusiasm, the center was the lowest at 57%, then the right at 59%, and then the left at 63%, all very similar numbers. And around government programs supporting the use of Gen AI, once again the right was highest at 60% increasing their enthusiasm, as opposed to 57% for the left and 54 for the center. Getting it part of why I think some people are having a hard time

with just the barrage of AI in every part of their life. Edelman concludes that people who distrust AI are more likely to say that AI is imposed on them. In the U.S., 48% of people who trust AI said that they feel that generative AI is being forced upon them whether they wanted or not, and that jumps to 67% when it comes to those who distrust AI. Now, as we move into the Remedy section, it's clear that the pathway to changing this is not going to be through business leaders or government leaders or probably even AI researchers. Instead, it's going to have to come from our peers. When asked how much they trust different groups to tell the truth about generative AI,

in the U.S. government leaders came in even lower than CEOs, 24% compared to 27%. AI researchers were at 53%, still significantly lower than friends and family who are at 71%. All in all, this is a pretty bleak story about the state of AI perception in the U.S. and other similarly developed countries. Now, as I mentioned, this is not the only story I've seen like this that kind of falls along these themes. Microsoft Satya Nadella recently talked about AI needing social permission to consume as much energy as it did. In an hour-long interview with the CEO and chair of Axel Springer, Satya Nadella said, at the end of the day, I think that this industry to which I belong

needs to earn the social permission to consume energy because we're doing good in the world. Now, Nadella made a point to downplay the immediate impact of AI on power consumption, which I agree with, I think that's an overblown narrative in the immediate term, but did also note that the rapid growth of data centers is putting and of course will put a lot of pressure on the electric grid. Nadella argued that the only way the public will accept that pressure is if it results in economic growth that is broadspread in the economy. Now, as a total aside, one of the catastrophic failures in my estimation of the AI industry so far is particularly around the folks who are building out AI data centers. This is one of the more unique opportunities that any technology has ever had

before, to pair the destruction in creative destruction with creation right from the beginning. Normally, those are two sequenced phases with the destruction happening first and the creation only happening much later, at least when it comes to jobs and displacement. In this case, the infrastructure buildout should be a boon and a bonanza for the places where that infrastructure buildout is happening. It's an opportunity to employ local people to do retraining, to subsidize costs for communities. It is a failure of imagination, of policy, planning of basically everything you can imagine that instead of communities competing to have this infrastructure built there, they are instead protesting. If you are among my listenership,

and I know some of you are out there who are in data center construction companies or the surrounding industry, you have so much more work to do and a unique opportunity to help us write this ship right from the beginning. Now, as I mentioned a couple other times recently, I'm also seeing the anti-AI political discourse ratchet up heading into next year's midterms. Bernie Sanders recently published an op-ed in The Guardian called AI Poses Unprecedented Threats. Congress must act now. Sanders has become completely hint and pilled and is no longer just talking about job displacement, but the quote, very real fear that in the not-so-distant future, a super-intelligent AI could replace humans in controlling the planet.

X-risk is back on the menu, baby. Now, this op-ed reads, like a blueprint for how the anti-AI rhetoric, at least from the left, is going to go next year. It's got a big dose of billionaire blame. It connects Trump in the current White House with big tech. It talks about the impacts of AI on democracy. And of course, it talks about job displacement, quoting folks like Elon Musk and Anthropics Dario Amadeh. As I was preparing this episode, I noticed that Florida Governor Ron DeSantis, who has also

been getting increasingly loud in his AI and general tech antagonism, is putting together a proposal for what he's calling a citizen bill of rights for AI. Now, one thing I will note is that even among folks who are firmly bulls, bullish AI, there are a fair number of things in this idea for a Bill of Rights that don't feel like they would be all that controversial across the spectrum from AI bulls to bears. Prohibiting AI from using people's name and likeness without their consent. Requiring notices when consumers are interacting with AI. Prohibiting companies from selling or sharing personally identifying information.

Like I said, a lot of things that I think a lot of people could get together on. Now, there is also in this a big whack against AI data centers, such as prohibiting utilities from charging residents more to support data center development. But even with that, I still think that there's probably more agreement than you might imagine. Now, I don't want to get fully into it today, but even mainstream media is noticing how this is becoming a bipartisan issue. NBC News recently pointed out that AI is creating odd bedfellows across parties. Hello, friends, if you've been enjoying what we've been discussing on the show, you'll want to check out another podcast that I have had the privilege to host, which is called You Can With AI from KPMG.

Season 1 was designed to be a set of real stories from real leaders making AI work in their organizations, and now season 2 is coming and we're back with even bigger conversations. This show is entirely focused on what it's like to actually drive AI change inside your enterprise, and as case studies, expert panels, and a lot more practical goodness that I hope will be extremely valuable for you as the listener. Search You Can with AI on Apple, Spotify, or YouTube, and subscribe today. This episode is brought to you by Blitzy, the Enterprise Autonomous Software Development Platform with infinite code context. Blitzy uses thousands of specialized AI agents that think for hours to understand Enterprise-scale code bases with millions of lines of code. Enterprise engineering leaders start every development sprint with the Blitzy platform, bringing in their development requirements.

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this were just some of the things that came off the top of my head. So reasons for AI's PR problem, category one, stuff that is actually about AI, I think that while there are a lot of perspectives on this, and even if you don't agree, there are many people for whom the copyright and art issues are real. This is one of those reasonable people can disagree type of issues, but reason reasonable people disagreeing means understanding that the people who disagree with you, if you don't think that copyright issues are a big one, are allowed to feel the way they feel. This is relative to all these others, perhaps a smaller issue so far, but I certainly don't think it helps when prominent people in interviews can't commit to wanting the future to be for humans, not machines. But I think,

in fact, a lot of the problems for AI's PR problem are for reasons outside of AI. So in category two, I put stuff that's about tech, but not AI per se. I think in general, we are at peak tech bro antipathy. There is a perceived arrogance and elitism that has developed over the last decade or so that is coming home to Roostin AI in a major way. Even bigger than that, though, I think we are finally going through a social media reckoning. I believe that many people's assessment of whether we are all better off for social media existing has come to the conclusion that we are not, but now it's too deeply entrenched to do anything about, and so people are looking to the next thing, i.e. AI, and asking how we

might not sleepwalk into it. I also think that even a lot of people's problems with AI, are actually problems with a social media infrastructure that is designed to capture and monetize attention to the exclusion of any other benefit for people. Think about the response to OpenAI SORA. The problem people had wasn't with the launch of the model SORA too. It was with Open AI releasing a SORA app alongside it, which they felt like, rightly or wrongly,

was Open AI just playing the same old attention capture game. In that way, then, AI is exacerbating what they already don't like about social media. A third category for AI's PR problem, and a very big category, in my belief at least, is stuff about the world at large. We are in a moment where for many people, they feel as though the economy is not working for them or for people like them. We increasingly live in this case-shaped economy where people who have assets are doing

great and people who don't have assets or not. It is producing all sorts of challenges, such as the gamblingification of everything, but to have AI come into that environment makes people feel like it's going to make things worse. not better for them. Of course, alongside that is the easy political tactic right now employed by both the right and the left of billionaire blame, which, by the way, I don't mean to be dismissive of. I'm just pointing out that it is an extremely popular political point right now. And category four, which is sort of a subsection of category three in some ways, is fear of the future, or maybe better put, fear of an unknowable future. There is anxiety around job displacement, and of course, even beyond

just our individual jobs, we live in a period of extreme volatility across so many areas. is, the so-called fourth turning depending on whether you look at generational theory. Take all these things together, and it is just an absolute recipe for AI antipathy, and this AI-PR problem that is the subject of the show. Now, I should say here, and I hope it goes without saying, but just to be clear, I am obviously coming at this from a very specifically American perspective. And even if some amount of this is applicable broadly, certainly my anchor is the experience that I have as an American, in American conversations. And so I don't want you to think, that I'm trying to apply this to everywhere around the world. It may be that even in other countries

like the UK and Germany, the specifics here are very different. Now, I do not think that these problems are insurmountable. I think Andrew's post that kicked this off has a lot of good thoughts here. He writes, to win people's trust, we have a lot of work ahead to make sure AI broadly benefits everyone. Higher productivity is often viewed by general audiences as a code word for my boss will make more money or worse layoffs. Second, he says we have to be genuinely worthy of trust. This means every one of us has to avoid hyping things up or fear-mongering, despite the occasional temptation to do so for publicity or to lobby governments to pass laws that stymie competing products. For wildly oversimplified areas that feel like they have to be part of the solution,

are one, by far the most important, I think, in some ways, engaging with these concerns, actually listening to people who have them and having real conversations. We cannot afford, as an industry, and as a group with a particular vision of the future of society, to be outright dismissive of the concerns that people have here. Even when we disagree, when we dismiss those concerns, we undermine our ability to address them. Now, that does not mean, of course, having to give the time of day to people who are just trying to use their anti-AI position as a bully pulpit, nor does it mean we have to treat every concern equally in terms of legitimating them. But I think, broadly speaking, letting people actually be heard when they're saying they have concerns about this stuff is a good starting point.

Next up, one of the areas of optimism you heard me say is that I actually think that there is a lot of policy common ground here that is going to allow us to build a shared base that isn't just regulate on the one hand or don't regulate on the other. Now, of course, those two extremes, over-regulation and no regulation, are going to be extremely loud, especially in this political cycle, and they're going to spend a lot of money. I say, fine, let them. The rest of us can come together and figure out how we slowly stack on common wins that build a shared foundation for a future we can agree on. Speaking of a future, we've got to spend more time painting a vision of the positive future that AI can create. We spend so much time talking sort of blithely about the power of these models and what they're going to do and what they could do and how much work they can replace,

and very little time talking about what that's going to mean. When we say that AI is going to create new opportunities that weren't possible before, that it's going to unlock new industries, what does that actually look like? And of course, that can't just be talk. We have to actually invest in that future. And for real, not just give it lip service. And this is one where a lot of you listeners, especially those of you who are in leadership positions in your company, have an outsized role to play. We are catastrophically behind right now. In AI training, upskilling, and engagement, we are stuck

in silly prompting courses and two-year-old mindsets and not even doing enough with that. Companies have the opportunity to be a major determinant in whether AI is perceived as good or bad. And in my goodness, would I rather have all of us be part of that positive future rather than the negative one. Look, my objective with this type of episode is not at all to be preachy, nor is it to suggest that I have a perfect knowledge about why all these issues are the way that they are or what we should do about them. I just know that especially heading into a contentious election year, there's simply no way we're getting out of having these tough conversations. One source of optimism I have comes from the younger generations. They don't really perceive there being an option

around this AI conversation. For young Gen Zs and especially Gen Alphas who are in high school now, AI is so obviously going to be a huge part of their future, then it doesn't matter if they hate it. Doesn't matter if they don't like it, doesn't matter if they wish that it didn't exist. It does, and so they're going to figure out how to use it. I think the more we can engage with the reality of AI as a force that is and will shape society,

the more space we're going to have to make sure it benefits everyone. For now, that is going to do it for this heady episode of the AI Daily Brief. Appreciate you listening or watching as always, and until next time, peace.