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We're already seeing headlines about job loss. Perhaps that's true in the short term. But as Cisco's Annie Hardy and Salesforce's Peter Schwartz both point out, we've seen labor disruptions, and they have always led to more jobs, not fewer. \"I don't think AI's going to take a lot of jobs. I think that the fear there is exaggerated,\" says Peter Schwartz. \"I think it will enhance many jobs.\" There's another recurring theme, that AI will be our co-pilot in work and home tasks. But keep an eye on this tension. 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There are concerns about software, like generative AI tools hallucinating bad data or creating images of people with too many fingers. There are issues with users, like disinformation specialists creating fake news images and passing them off as real events. And AI technologies in many realms are being deployed with a lack of transparency about its data sources or training. This tension will likely persist until these problems get sorted or regulated. Blackrock Neurotech, by nature of its work in brain-computer interfaces, prioritizes being trusted by its patients every day. 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People aren't confident that will get better. But it's early. 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Nicole Alexander: If you think about the past 10 years, we didn't have facial-recognition applications, which afford efficiency. We didn't have smart homes. Think of things like personal shopping or streaming apps. There are so many improvements to our day-to-day lives based on AI and the convenience that it affords, not to even talk about the advancements in biotech and medicines to help everything from Alzheimer’s disease to the future of cancer research. Because AI seeps into society in such a fast and under-the-radar way, it changes our expectations where we don't necessarily think of it as AI, we just think of it as the net new. MacArthur: I would probably be much healthier if I didn't have to meal plan and shop and think about what I need in my pantry. Could I get there with AI? Alexander: There can be an entire understanding of not just what you want to consume, but is what you want to consume the right diet for you? 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Hardy: When we look at companies doing responsible innovation and responsible AI, this is an ethos. It goes back to trust. Then you have, “We’re going to move fast, we’re going to lead the way, we’re going to bring innovation to people.” That’s a different ethos. That’s the way technology has always been. Carmichael: That sounds like two very different futures. Hardy: Yes, it’s contingent on the adoption of a specific ethos. If we adopt responsible AI, then we’re going to start talking about UBI [universal basic income] versus if we adopt innovation, what we’re going to see is the rise of agrarian societies because people can’t afford to live in cities. These are alternative futures contingent on what ethos is established and what trust looks like as a result. Carmichael: What if we don’t build trust? Hardy: What is the “prepper” equivalent of an anti-AI society? My concern is that we’re not going to be able to upskill in time. Everybody says AI’s going to take jobs away. 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Hardy: We’ll see the growth of personal agriculture and societies that are based on agriculture rather than technology. People are going to go off-grid and become more self-sufficient. The cost of living in cities is pushing people out. Urban decentralization is already happening. All of that is a trust thing. People are just going to want to extract themselves from the system. Carmichael: One way to reduce fear and build trust is to have more voices in the rooms where Ais are created. We know that. How do we do that? Hardy: There are a lot of different things that are going to have to play into solving the bias and data problem. There are technology solutions, social, relational, corporate solutions and enterprise approaches that we can take. If we’re going to fill the pipeline with voices that are distinctive, we have to figure out what it looks like to fairly hire and train and what diversity actually looks like. 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What would a roadmap look like for how to manage intellectual property issues that AI tools can create? Duffey: I've started looking into some historical cases on music licensing which can be a source of where things are going for when is something IP-ownable and when is something potentially inspired by, but not similar. That gets into quite complex legalities and agreement on what those are. It gets infinitely more complex when you talk about arts in IP. We're entering this new era of rights management, and some argue \"left management.\" Some are advocating we're potentially, at some point, moving into a left-managed system, where there's this acknowledgement that when you put out content, it might be referenced in some ways going forward. MacArthur: How do businesses need to think to keep AI from becoming a disinformation nightmare? Duffey: The presence of traceability within a ledger enables you to identify the origin of content, thus establishing its credibility. 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Duffey: I recently authored a book titled \"Decoding the Metaverse,\" which explores the concept of the metaverse as an organic progression towards a more immersive and engaging experience. Simultaneously, this is where businesses can begin to embrace some of the foundational principles of Web3. These include co-ownership and co-monetization, which enable the creation of fandom, the establishment of co-monetization models, and ultimately drive an innovative and thriving creator economy. Consequently, I posit that AI will be instrumental in realizing this visionary future for businesses. MacArthur: How do those conversations get built so that there's a level of fairness, recognizing who's the pilot and who's the co-pilot? Duffey: That's a foundational question that will probably get defined by the platform. 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Is that helpful? Peter Schwartz: There’s a famous book by Herman Khan called “On Thermonuclear War.” It served a very useful function. It got people to think seriously about it, and it was one of the contributors to arms control. It’s one thing to have a pessimistic scenario about a bad business outcome. It’s a very different thing to have a pessimistic scenario about the end of humanity. They’re not really planning scenarios. They’re warnings and play a very different kind of function. Carmichael: How has the work changed over the years? Schwartz: It depends on where you are in the world. More work is knowledge-intensive and people-intensive and relationship-intensive as opposed to physically intensive. Just as 80% of people once worked producing food for everybody, now it’s 2%. Or manufacturing was 65% and that’s now down to 15% or 20%. That’s a huge change, and as a result, the technologies that affect individuals and what they do have been hyper-consequential. 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But it's going to create jobs, too, right? Schwartz: I don't think AI's going to take a lot of jobs. 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