Almost Timely News: The Intelligence Revolution  ## Metadata - Author: [[Christopher Penn]] - Full Title: Almost Timely News: The Intelligence Revolution - Category: #articles - Document Note: # Title: The Intelligence Revolution: The Future of Work and AI --- tags: #AI #intelligence_revolution #future_of_work Author: AI Thought Expert Source: AI Weekly Newsletter Reference: N/A --- ## Table of Contents: - Summary - Main Content - Evolution of technology revolutions - Impact of the intelligence revolution on work - Concerns and challenges - Hypotheses - Future Research - Implications - Logical validity - Conclusion ## Index Creation: - AI - Revolution impact - Employment disruption - Structural employment - Civil unrest ## 📝 Summary: The newsletter discusses the Intelligence Revolution, comparing it to historical technological revolutions and emphasizing the rapid changes it brings to work dynamics due to AI advancements. ## 📖 Main Content: - The article provides a historical context of technological revolutions and highlights the accelerated pace of change in recent times, especially with AI. - It delves into how AI is reshaping work by automating tasks traditionally done by humans, leading to a shift in job landscapes and creating potential challenges like structural employment. - It warns of the negative consequences, such as income inequality and civil unrest, that could arise from the swift implementation of AI in various sectors. ### 🗒️ Notes - The Intelligence Revolution parallels past technological advances but at a faster rate due to AI. - AI is transforming work by automating knowledge-based tasks, leading to job disruptions. - Structural employment may increase as AI replaces human workers rapidly. - Income concentration and potential civil unrest are key concerns in a fast-paced transition to AI-powered work environments. ## 📖 References: None ## 🗣️ Paraphrase: - Technological revolutions have historically shaped society, with AI now driving the Intelligence Revolution at an unprecedented pace. - The rapid disruption of traditional work dynamics by AI presents challenges like structural unemployment and income inequality. ## 🧪 Hypotheses: - Future studies could explore the long-term societal impacts of the Intelligence Revolution on job markets and income distribution. - Research could investigate strategies to mitigate potential civil unrest stemming from rapid AI adoption in various industries. ### 📊 Methodology: - Research methodologies could include longitudinal studies tracking employment trends pre- and post-AI implementation. - Data sources like labor market reports and economic indicators can provide insights into the effects of the Intelligence Revolution on employment. ### ❓ Questions: - How can policymakers address the structural employment challenges brought about by AI disruption? - What strategies can individuals adopt to adapt to the changing work landscape in an AI-driven world? ### 🔮 Future Research: - Future research could focus on predicting the social implications of widespread AI adoption and its effects on income distribution. - Exploring the ethical considerations of AI's impact on employment and society could be a valuable area for further investigation. ### 💡 Implications: - Understanding the implications of the Intelligence Revolution can inform policy decisions to mitigate negative effects on workers. - Advancing knowledge on the social consequences of AI in the workplace may lead to more equitable strategies for AI integration. ### ✅ Logical validity: - The article presents a compelling argument on the potential risks associated with the rapid adoption of AI in the workforce. - It logically connects historical precedents to current concerns about income inequality and civil unrest in the face of AI advancements. ## 🎯 Conclusion: The Intelligence Revolution driven by AI presents both opportunities and challenges for the future of work, demanding proactive solutions at individual, organizational, and societal levels to navigate the evolving landscape successfully. Short Summary for [Almost Timely News: The Intelligence Revolution (2024-03-10)](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q) by [Merlin](https://merlin.foyer.work/) Title: The Intelligence Revolution: Future of Work and AI - Understanding the Impact and Evolution in Modern Era [00:05](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=5) The Intelligence Revolution is reshaping the future of work and AI. [02:23](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=143) The intelligence revolution is currently in its early years. [07:07](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=427) AI is revolutionizing the service economy. [09:36](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=576) Impact of AI on job displacement [14:22](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=862) AI will impact highly repetitive and templated jobs. [16:34](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=994) Invest in personal brand and treat AI cautiously [21:03](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=1263) Invest in retraining employees for AI to increase productivity and profitability. [23:06](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=1386) Societal changes and universal basic income for AI impact. [27:18](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=1638) LinkedIn's assessment of generative AI features and in-demand jobs [29:19](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=1759) Upcoming marketing events and call for audience feedback. --------------------------------- Detailed Summary for [Almost Timely News: The Intelligence Revolution (2024-03-10)](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q) by [Merlin](https://merlin.foyer.work/) Title: The Intelligence Revolution: Future of Work and AI - Understanding the Impact and Evolution in Modern Era [00:05](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=5) The Intelligence Revolution is reshaping the future of work and AI. - AI is transforming knowledge work akin to how machinery revolutionized manual labor. - The intelligence revolution is changing the nature of work, highlighting the shift in roles from manual labor to supervising and operating machines. [02:23](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=143) The intelligence revolution is currently in its early years. - Advancements in machine learning and AI have been discussed since 2013. - Recent breakthroughs in generative AI models like Transformers and GPT have accelerated the revolution. [07:07](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=427) AI is revolutionizing the service economy. - Transition towards intangible services like professional YouTubers. - AI impacting knowledge work sector, eliminating jobs quickly. [09:36](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=576) Impact of AI on job displacement - Increasing automation leading to disappearance of traditional jobs like horse and buggy drivers, ice delivery salesmen, telephone operators, and elevator operators. - Challenges for humans in adapting to new careers due to slow change pace, ineffective retraining programs, and economic dislocation caused by rapid job eliminations. [14:22](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=862) AI will impact highly repetitive and templated jobs. - Skilling up with AI can help individuals manage machines and secure their jobs. - Jobs that involve personal services and human relationships will be difficult to automate. [16:34](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=994) Invest in personal brand and treat AI cautiously - Building a personal brand is crucial for career and industry recognition. - Treat AI impact on job security by conserving resources and planning for potential job displacement. [21:03](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=1263) Invest in retraining employees for AI to increase productivity and profitability. - Retraining and upskilling employees at risk from AI can make them 10 times more productive and improve company results. - As a marketer, focus on experiential and influencer marketing to differentiate from AI-generated content. [23:06](https://www.youtube.com/watch?v=Fi3aNL0NZ6Q&t=1386) Societal changes and universal basic income for AI impact. - The first big short term fix for AI's impact will be universal basic income, funded from corporate taxes. - - Summary: The document discusses the ongoing intelligence revolution and its impact on work due to AI advancements. It compares this revolution to historical shifts like the Industrial Revolution, highlighting the rapid changes brought by AI to knowledge work. The text emphasizes the need for individuals to adapt and upskill in AI to remain relevant in the evolving job market, as AI is expected to reshape employment structures quickly. Furthermore, it addresses the importance of companies prioritizing people over profits to invest in retraining and upskilling their workforce for the AI-driven future. - URL: https://youtube.com/watch?v=Fi3aNL0NZ6Q&si=IPSPlKCstlSxglFY This is the almost timely newsletter for the week of March 10th, 2024. Content authenticity statement this week, 100% of this newsletter was generated by me, the human, despite my best efforts to the contrary. I was actually trying to use AI to write it, and maybe we'll talk about that in one of this week's episodes on the channel. But for right now, 100% newsletter is mine. Learn why this kind of disclosure is important. There's a link at the top of the newsletter. It is legally required in some places, and it's a good idea as a best practice. So what's on my mind this week? The intelligence revolution. This week, let's talk about the future of work and AI, something I call the intelligence revolution. So named because it's as big a deal as the Industrial Revolution. And here's why. The intelligence revolution fundamentally changes the nature of work. AI is to knowledge work what industrial machinery is to manual labor. The machines that do the majority of work. And then we we supervise the machines. We run the machines, right? We don't need 1000 people in a cornfield manually removing ears of corn from corn stalks anymore. We have one machine driven by a guy who is probably listening to his favorite podcast as the GPS guides the machine down this massive, massive machine down a crop field. If you've ever by the way, if you ever checked out what farm machinery is like today, it is crazy. High tech is incredible. So let's take a brief walk down memory lane at the various revolutions through history. You had things like, you know, the Stone Age, the Iron Age, the Bronze Age, each of which lasted thousands of years. Then the Dark Ages, the Renaissance, and then more or less the modern era. What's worth pointing out in this big picture view of history is that the time between ages gets progressively shorter. We took thousands of years to figure out stuff like wheels, right, and iron and bronze. Our farms, you know, over time, gradually got more efficient, but over the span of generations here in the USA, which is where I'm based, we started as an agrarian nation in 1790. More than 90% of the population worked in agriculture, right? Everyone was farming subsistence living. By 1900, a century and change later, that's 50% of the population, which is the that's a big shift. But over the span of a century, by 1990, 200 years later, the percentage of the population that works in agriculture 2% think about the modern digital age, right? The modern era, the first modern computer was built in 1943. The ENIAC, right? 33 years later, the Apple computer was invented. The Apple won in 1976, kicking off the personal computing revolution. 20 years after that, the Internet really started to become prevalent with the invention of the World Wide Web. Email was a few years before that, but that started the Internet revolution. I still remember reading articles saying, "The Internet thing, this thing's a fad." Like, okay, as you're distributing that on your fax machine. A decade later, social networks emerged in mass. If anyone remembers Friendster back in 2003, and then MySpace and then Facebook. Less than a decade after that, smartphones, right? You had smartphones for things like smartphones, like the Blackberry for a while. And of course, the iPhone came out in 2007, a mobile revolution. And today, we are firmly in the early years of the intelligence revolution. You and I have been talking about machine learning and AI in some capacity since 2013. If you've you've hung out with me before in this newsletter, which, gosh, this newsletter is now, what, 14 years old. If you've maybe seen some of my AI talks at conferences like Inbound and Social Media Marketing World as early as 2015, 2016, we were talking about AI. We were talking about using AI for attribution analysis, using predictive analytics way, way, way back at when. But with the advent of generative AI in 2017, the Transformers model and its explosion in popularity in 2022 with stable diffusion and later chat GPT, we've had less than a decade since the last major revolution. This timing, this pacing is really important in general. We humans are not great with rapid change. We're good at slow. Change. Change. Right. When the spinning Jenny came out in 1764, it started to change textiles, but wasn't even patented until 1770. That's the thing that replaced spinning wheels and spinsters, right? It took decades for that profession to go away. When the typewriter emerged in 1829, it was widely panned because it barely worked. 38 years later, the Shoals typewriter actually typed things right. It was the original was called a typography, but it wasn't even for another six years until they fixed the keyboard because the keys kept running into each other. That's why you have a QWERTY keyboard Q W E R T Y. I don't like North American English keyboards because that's a legacy of typewriter keys running into each other. That was in the 1800s, right? It took six years till they fixed the keyboard. Think about that. It took the typewriter as much time to get a usable keyboard as we had between the mobile revolution and the intelligence revolution. That's how fast things are moving right now. We had commercially accessible AI faster than we had a working keyboard on a typewriter. When change is slow, we adapt. Humans adapt. We leverage Schumpeter's Joseph Schumpeter's principle of creative destruction in which new innovations destroy the economy that gave rise to them, right? Replacing them with a new economy. Industrialization took on all the agrarian workers who were no longer needed in the fields, put them to work in factories and assembly lines. And we can discuss how nice those working conditions were, but that's where those workers went. What's critical is that that industrial revolution took over a century, at least in America, to really make that full transition. America in 1790 was farming and American 1890 was making stuff, right? Factories and all sorts of things in America in 1990 and today is in the service sector providing services from call centers to flipping burgers to Google Analytics consulting. Again, that's a century long transition. As generations we adapt, we can we can work with that. That's that's within our ability to change, right? Manufacturing peaked in the USA in 1944, while the service sector went from like 31% of the workforce in 1900 to 78% of the workforce a century later. Today, it's over 81% of the workforce. But again, that's a century. Look at the timing. Service jobs took over from the Industrial Revolution over the span of a century. People adapted. People went into service jobs. The problem that AI poses isn't that it's going to destroy jobs or create jobs. That's going to happen with any technology that's as radical and transformative. The problem with AI is the speed at which it will do so. AI will do it fast. We are starting to see today a transition into a different kind of service economy, one that is intangible. This is like Rory Sutherland's intangibles. Look at the enormous number of people in the media space right now. Right here, right on YouTube, right? This is a new economy. There are people, not me, people making a living, in some cases, a very good living, being professional YouTubers, you know, running an OnlyFans account. Look at James Hoffman. He's made a YouTube channel solely about coffee and is cranking out tremendous audiences and things. And Google Foods has millions of subscribers, has a team of like 20 people working as YouTube YouTube channel. These folks are not making anything tangible, but they are creating value for their audiences and their audiences are compensating them appropriately. As climate change, a swelling global population with over 8 billion people and a fixed amount of of natural resources in the physical world all impose pressure on physical goods. It is logical that the intangible service economy is going to be the next step, but it's not happening fast enough, not fast enough compared to what AI will do to the knowledge work sector again. Farming and got superseded by manufacturing. Knowledge work is going to be superseded by AI already. There's we saw it in the news this week. Companies like Klarna are touting just how fast their services will eliminate call center jobs entirely. That's like, yeah, we're going to get rid of all service center jobs, right? They're going to save companies enormous amounts of money. They were boasting in their their press release. Their AI call center systems reduce call times, improve customer sound satisfaction and cost a fraction of what human workers cost. No CFO or CEO is going to look at those metrics and stick with more expensive, less efficient, less satisfying options of of humans, right? The machines are doing a better job faster and cheaper. You'd be foolish to to use the less effective option. That's that's logic, right? What this is going to create is a structural employment problem. Structural employment is when employment, unemployment increases for jobs that never come back. Once a job vanishes, it's gone. And that person who is in that job has to find different work, a different profession, right? Horse and buggy drivers are mostly gone. Ice delivery salesmen are mostly gone. And there are there's an asterisk here, right? There are some exceptions. There's like artisanal ice delivery to bars for like $8 ice cubes. And there are horse and buggy drivers, right? They go downtown Boston. There's you can take a horse drawn carriage ride as a tourist. But those jobs are gone at scale, right? Telephone operators gone. Elevator operators, the person who would pull the little switch and move the levers to make the elevator go gone. Those jobs are gone and they're never coming back at the same scale. The challenge for humans is, again, we don't change fast. If your trade vanishes, it is surprisingly difficult to change to something else that is radically different. There were there were a whole bunch of programs in the mid 2010s promising to retrain coal miners as coders, but those programs were at least based on when I last looked, you know, a couple hours ago at the news, those programs were largely ineffective, in part because the skill sets of the two professions are wildly different. Another major contributing factor was the programs are really poorly run. But, you know, a person can change over time, but it takes longer than we'd expect. And it's going to take longer than it takes to change and to adapt to new to taking over careers. So when AI sweeps in and starts eliminating jobs left and right in rapid fashion, and that's the key rapid fashion, you're going to have a significant economic dislocation for a while. Companies who optimize for profits first profits over people, they're going to wholly embrace AI. They're going to reduce headcount as fast as possible, just throw over as many overboard as many employees as they can. In the new generation of jobs that are going to be created by AI will not ramp up as fast. You can see that if you look in the newsletter, there's a chart from Vision Capitalists that shows the percentage of people in the US population in each job sector, the agricultural revolution, the industrial revolution and so on. And you can see that in past revolutions, old jobs stuck around for decades after the revolution started, right? There was time as new sectors ramped up. There's going to be less time this time around. Pop quiz. What do the French Revolution, Cox's army, the October Revolution, the Bonus Army March, Tiananmen Square, Argentinazo, Arab Spring and Occupy Wall Street all have in common? They are all civil unrest responses to dire economic conditions, many of which were about rapid changes in employment. This this is the greatest short term risk we face right now from AI already. Income inequality is sky high around the world. It's not just one country, it's around the world, and this is compounding existing polarization. The haves and the have nots are further apart than ever. The nature of AI software that does human work but without human wages means that income concentration becomes more problematic. A company that employs 100 people but can deploy AI software that can do the work of millions of people is going to concentrate a lot of wealth, a lot of income in a very small group. That those hundred people, that company, they're going to do real well. But the millions of people they displace will not. If that happens rapidly, say over the period of a few years, then structural employment goes up like five or 10%. Civil unrest is likely. Civil unrest is more likely. And the faster that change happens, the faster unemployment goes up and stays high, the more likely civil unrest becomes. And in an already polarized environment, as we see in many nations around the world, that that's gas on the fire, right? That civil unrest is likely to become violent. So. What's the solution? It's fine to lay out the problem, but if you don't have solutions and you're just making people feel worse. So how do we solve for this before it becomes a crisis we can't prevent? I am not an economist. I am not a politician. I am a dude that works in marketing, but I do see three potential avenues we need to pursue at the individual level, at the organizational level, at the societal level. How well we pursue these will dictate the outcomes we get. And I think I think there are decent solutions. And I would love to hear your thoughts as well. So let's look at the solution set that's easiest to do the personal one. This is what you and me can do to prepare. Number one, evaluate how much risk you personally are at. How much risk are you at? I said almost a decade ago that if you do your work with a template today, a machine does your work without you tomorrow, right? That is more true than ever. We are seeing that with language. Models, if your work is highly repetitive and templated call centers, paralegal, your customer service, if it's repetitive and templated, your job is in peril. There is no polite way to sugarcoat that. So what do you do if it's an option for you? Get skilled up with AI so that you're the one managing machines, right? If you can do your work 10x faster with AI and you're very skilled with it, your individual job may be safe, even if you're your compatriots at your company or not. Right. Your company is going to say, Hey, we've got ten people here, but this one person can do the job of all ten. We'll keep that one person and get rid of the other nine. It sucks, but you want to be that one person who the company says you're you're the gal we want you. If it's not an option to learn AI, start planning that career change, look at jobs that are difficult to automate, work that is not templated trade jobs, for example, like the folks who come out twice a year to tune up my heating system from the local plumbing company is. Extremely difficult to automate that job. It's just not worth it. It's not worth building robots to do that. Particularly with all the weird stuff that happens, right? Those jobs are likely to remain human for for quite some time because there's just too many weird oddities that can go wrong. Personal services jobs where you have a real relationship with your customers will be difficult to automate because the human interaction, the human relationship is a part of the core value proposition. You go to your hairdresser. Or your fitness coach or your therapist, partly because they do a good job, but partly because you value that specific human relationship. You could not see yourself going to any other nail technician except that one person because you enjoy spending time with them, right? A machine can't do that. A machine might do a more precise job doing your nails, but it can't do that level of precision, right? Your barber, any any barber can give you a, you know, a shave and a cut. Is it your bar? And then there's the intangible jobs like YouTubers and OnlyFans and Patreon and all that stuff. Those are difficult to automate to four specific personal brands because the audience is invested in the person themselves, right? You follow someone like Morgan Eckroth, specifically because you want to learn from her. You wouldn't follow a synthetic version, an AI driven version, because that is the uniqueness of her humanity that makes her worth watching. It's the quirkiness that, you know, her sliding into frame and crashing into things after videos. You're there for that, for that, that uniquely human aspect. Side note, along the same lines. Today, you should be investing heavily time and effort in your personal brand to make yourself known in your in your career, in your company, in your industry, in your field to the best of your ability, because that is your lifeboat, right? That is your insurance. Policy is having that audience that knows who you are. You and I would not be having this conversation if I didn't invest in my personal brand. And this our relationship, you and I has saved my bacon out quite a few times. And finally, on a personal level, treat AI like hopefully you treated COVID. Do you remember four years ago? I know people prefer not to, but do you remember four years ago remember the newsletters I was sending out? Not this one, but the pandemic newsletter we prepared, we stocked up, we battened down the hatches, we conserved our resources, we saved money, we deferred luxuries and purchases, and we we bunkered down to weather the storm. This economic dislocation isn't any different. You don't have to wear a mask around AI, but it's not any different. If you think your current job and your overall employability is at risk from AI, behave accordingly, make the most of your employment now while you pivot and develop those plans and conserve your resources as you do, right? Try running lean so that. If things go south or they go sideways and your company is, yeah, you've been replaced by AI. You're not surprised and you've got you've got some protection, you've got some some some backup funds to weather the storm while you look. The number of folks that I know in my personal network who are looking and have been looking for nine months or more is substantial. So you want to make sure you be fiscally conservative. Next, let's talk about organizations, companies. AI will hit hardest at the companies where the leadership prioritizes profits over people, right? If a company says profits are more than more important than people. Well, if a company behaves like that because everyone says people are the most important thing, but very few companies actually behave that way. If you're at a company like that, your job is in peril, period. I don't care what your job. Is a company run by people whose only priority is net profits is going to see everybody who's not in the C-suite as expendable and replaceable. I have worked for people like that. Everybody is just a cog in their machine and all they care about is making the money, right? To the best of your ability, try not to work for companies like that. But if you are in the C-suite or you are a business owner, you have. True managing authority at a company. Take a look at your books, take a look at your finances. One of the things that I admire most about my my business partner and my CEO, Katie Robert, she and I founded Trust Insights together. One thing I admire most about her is how financially conservative she is. We run lean as a company. We don't pay ourselves outlandish amounts when we pay ourselves basically what we have to so that we have reserves to weather stormy times. Right. That philosophy served us incredibly well during the pandemic. Had we not done so under her leadership, Trust Insights might not be in existence today. That same fiscal conservatism also allows us to employ the people we do employ at sustained levels rather than the boom and bust cycles. A lot of bigger companies that are less fiscally conservative go through all the time, right? They're hiring and firing, they're hiring their fires like a binge drinker. If you're a business owner or a manager that prioritizes people over profits with with the understanding that you still have to run a business, can you commit to retraining and upskilling employees who are most at risk from AI? Can you run lean and be run fiscally conservative and not pay yourself the big bonus so that you can have sustained, steady employment of people, right? And can you retrain and upskill the employees who are at risk from AI? Can you help them learn how to scale their current jobs with AI? So instead of getting rid of them, you help them become ten times more productive without having to empty out seats, right? If you do that well, if you can help them learn how to scale their own work with AI, it's going to be more costly in the short term to keep them employed. But if those people become good at what they do, if they get good at AI, they can take on 5x, 8x, 10x more work without losing their jobs. And your company gets better results. Your company can do more. Your company can make more money with the same number of people. So are you willing to make that investment in your people today to get them skilled up with AI? As a marketer, because most of you are marketers, from a marketing perspective, everything that can be AI will be AI. Companies are just going to spend money like crazy on the stuff and everything that they can turn into AI, they will because it costs less. So if you are a marketer who wants to differentiate yourself, double down on the things that don't scale. AI is all about scale. Double down on things that don't scale. Experiential marketing, where you create real world experience is are going to grow in importance because it's going to be unique and different and compelling, and it doesn't scale, right? You can't give the same experience to millions of people. You can only give the experience to the people who show up at your pop up shop on on 34th and fifth, right? Influencer marketing will continue to grow because personal brands and individual personalities will differentiate a company from more generic AI content. AI can't be a person as well as a person can be a person. Side note, if you are not growing your own influencers inside your company, inside your marketing department, you are missing the boat. You've been missing the boat for a while, but today's a great day to start. And finally, let's talk about societal changes. These probably will not happen globally. So look for societies where these changes do happen. And if it is within your power to relocate, if you have the resources and the ability to do so, you might want to relocate to places that do these things. The first big short term fix for AI's impact will be universal basic income, likely and sensibly funded from corporate taxes. Corporations will be vacuuming up most of the money generated by AI, so they'll have even more money to spare than they already do. And they already have quite a lot. Corporate profits after taxes in the USA have increased by a trillion dollars per year in the last five years. They'll have a link to the chart if you want to go check out the chart. There's a lot of there's a lot of money to be had to to fund these initiatives if a society is willing to do so. So universal basic income is the first. Second, those universal basics are going to go a long way towards alleviating societal pressures, right? Reducing unrest, things like basic housing or basic food, right? If if you have a place to live, even if it's not super nice and you have food to keep you alive, you're less likely to resort to violence just to meet your basic survival needs, right? If you are starving on the street, you will take actions to to survive. They may not be legal, they may not be peaceful, but you will do what you need to survive. I mean, I saw some some politicians the other day talking about how they give $10,000 to people to to to move out of their house, whatever. I'm like, that's stupid. You can buy a portable prefab house on Alibaba for $5,000 made from a shipping container. Is it nice? No, it's going to keep you alive. A government, instead of handing out subsidies, could invest in hundreds of thousands of these things for less than the other programs are recommending. If the will of the people compelled it to if you build cities of inexpensive housing, people will go there because they want a place to live, right? And to be clear, I'm not saying everyone has to live in basic housing. It's not going to talk about like communist Russia. What I'm saying is that there should be a bare minimum we offer to each other as human beings that will reduce the risk of civil unrest and reduce the impact of of people of profits over people. If you have the means to afford more, you should absolutely enjoy the lifestyle you can afford. But for a whole bunch of people, the basic, you know, a shipping container house would be a luxury. This was a long piece, but it's the foundation of what we can do in the early years of the intelligence revolution to make AI our partner, not our enemy, to reduce the impacts of AI long enough for the rest of society to catch up long enough for those new jobs we can't imagine to spring up and to help the population make the transition into the intelligence revolution and to make the most of the technology for ourselves today. You can take initiative on the personal actions today. Your company may or may not take action on the organizational initiatives, and if your nation takes action on the societal initiatives in a meaningful way, count your blessings and keep electing those people who are making that happen because you are in a rare place. AI is the most profound change to the future of work since the Industrial Revolution. I want to see you succeed. All right. What else happened this week? The we have. Oh, I had a piece this week on what makes a great conference event. It's a long piece after a really good event and a really not so good event. So go check that out. Also did a live stream this week on updating your media kit. We talked about updating your speaker kit and stuff and did a really fun exercise of building an ideal customer profile in the podcast this week in your insights. So go check that out. It's linked to the newsletter. Up, let's see jobs this week. What have we got? We've got data engineer at Paraton Data Evangelist at DataCamp. Data scientist at Global Data Scientist Insight Global Director Strategy and Analytics at Beyond Finance. Google Analytics Analyst at Primary Services. Google Analytics Subject Matter Expert at Inspire Solutions. Head of MarTech at Harnam. Program Manager of Applied Analytics Decision Sciences. That's a mouthful. At General Motors. Senior Data Analyst at eStaffing. Senior Data Scientist. Epic Solutions Senior Data Scientist. Commercial Analytics at Stella Pharma. Senior Digital Analytics Engineer at Rocket Careers. Tableau Expert at DataSelf and Web Analyst Special. That's got to be German. Specialization at Goethe. Lots of jobs. Go check them out. Other things that happened this week. We have LinkedIn talking about how it assesses the value of generative AI features and the most in-demand jobs across all industries, which was an interesting piece. The the in-demand jobs we pulled up here, the greatest increase in hiring for the following roles care specialist, surgical technician, tax preparer, medical surgical nurse, secretary, sonographer, progressive care nurse, home health care, licensed practical nurse, customer associate, business administrator and the most in-demand jobs of all salesperson, registered nurse, software engineer, project manager, customer service representative, store manager, full stack engineer, cashier and driver. So you can see we are firmly in the service economy right now. What else we got in the news here? Low quality ad content and post-clic experiences from my friend John Loomer. Go check his article out. Whether should you or should you not be optimizing for AI based search? Spoiler alert. Yes, you should be. Kayak has some new AI features that users let users double check flights with a screenshot, which is kind of handy. Open AI published a whole bunch of private emails with Elon Musk in defense in their lawsuit in a blog post, which was quite funny to read. If you want a chuckle, that's one you can check out. And Microsoft first bizarrely invoked the VCR in a motion to dismiss the New York Times AI lawsuit. So there's a lot of lawsuits happening about AI right now. They are unresolved. They will be unresolved for quite some time. So at least in the USA, there is no governing law yet that says what is and is not allowed. So we're waiting for all that to shake out. Upcoming events have got a marketing process event this week. I'm doing a prompt engineering for marketers and marketing professionals here in Boston in April. Lab Products Association in Nashville, SMPS in Los Angeles in May, followed by the Australian Food and Grocery Council, then a marketing AI conference and then marketing props B2B Forum here in Boston. So lots of events. If you're going to be any of those, stop by, say hi. That is going to do it for this week's newsletter. Thank you for your time. I would love to hear your thoughts about what your take on the intelligence revolution is and what you think about it. What additional solutions, in addition to the ones I proposed, what additional solutions I missed that you think would be effective in blunting the impact of AI while society catches up and while we make the transition fully into the intelligence revolution? Thanks for tuning in. Talk to you next time. If you enjoyed this video, please hit the like button. Subscribe to my channel if you haven't already. And if you want to know when new videos are available, hit the bell button to be notified as soon as new content is live. you, Almost Timely News: The Intelligence Revolution, Christopher Penn, 01hrpskfvm9q9zh9fyyhwpt0rm.