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Job Market 2026: What's Actually Happening with Layoffs

17m 35s

Job Market 2026: What's Actually Happening with Layoffs

The video examines whether recent corporate layoffs are genuinely driven by AI or simply used as a convenient excuse. The speaker opens by noting headlines like Jack Dorsey’s Block cutting 40% of staff, with AI cited as the reason. However, a top jobs expert confides that many firms are leveraging AI anxiety to fix overhiring from the pandemic era. Data from Anthropic reveals that AI currently reshuffles tasks rather than eliminating jobs outright—white-collar roles see high exposure but only a fraction of tasks are automated in practice, leading to hiring slowdowns rather than immediate layoffs. The World Economic Forum’s Saadia Zahidi explains that out of 100 workers, about 11 will need to move to entirely new industries by 2030, while most can be reskilled. Safe jobs include physical trades and roles requiring human judgment. The speaker advises focusing on three skill sets: human skills (communication, empathy), AI skills (using tools like Claude), and domain expertise. A practical 90-day plan is offered: adopt one AI tool in 30 days, ship an AI-powered improvement in 60 days, and practice a human skill in a real project by 90 days. Ultimately, the video argues that AI is a powerful tool, but human adaptability and optimism remain crucial.

Transcription

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English
So this morning I opened my phone and it's the same story again and again. First we heard a few days ago that Jack Dorsey's blog just laid off almost half of his stuff and says AI is the reason. Just recently, Alasian cuts 1,600 people to self-fund investments in AI. Your feed, my feed, is full of AI took my job posts. Is this the beginning of a jobless future or are companies just slapping AI on old school layoffs to make them sound innovative? Today we're going to look at the data, the companies and the people behind the headlines and I will be joined by someone who actually knows the numbers. I actually use the report she creates every two years. It's called the jobs report by the world economic forum and I was just there. She knows all the numbers and she knows exactly what's happening on the job market. Are these layoffs AI? Should we be afraid to we be scared or are companies just using the word AI to justify layoffs? By the end you'll know which jobs are actually at risk, what AI native really means and what you can practically do in the next 90 days to future-proof your career. Even if you're not a tech person, I'm not a tech person but I'm using so much of AI, I'm going to talk about this. So what's going on on the market? Let's start with the headline that broke the internet. Jack Dorsey and blog, 4,000 people. So blog is the company behind square cash-hap and after pay and they announced that they're cutting 40% of its workforce, more than 4,000 people bringing headcount down to under 6000. In his letter and interviews, he says smaller, flatter teams can now do the same work that AI fundamentally changes what it means to build and run a company and that most firms will inevitably follow this path. Media from CNN to Forbes jumped on the story as one of the clearest examples of a CEO saying, "Will they be people off because of AI?" Okay, I had to talk to someone who's a professional in this. As Sydiah Zahidi, managing director of World Economic Forum, aren't the AI layoffs real? Well, I'm going to not say who it is, but I'm going to share what they told me which is that they feel that it's one of the top people on jobs here and he told me that essentially he thinks that a lot of firms are maybe using this moment of concern around artificial intelligence to essentially take care of the issue that you're talking about, which is that there was some overhiring three years ago and so now is the time to change that and it's somewhat convenient moment to use this. So from inside the room, the message is pretty blunt. Yes, AI is real, but it's also perfect excuse to fix the overhiring that happened during the last boom. Okay, let's move from buzzwords and press release to actual data in early March and Tropic, a company behind Clod, released one of the most detailed studies so far on AI and jobs and I absolutely loved it. Thank you so much and Tropic for doing that. It's called Labor Market Impact of AI and you measure an early evidence. So instead of asking in theory, could AI do this task? They looked at observed exposure where workers are already using tools like Clod to do their jobs right now and here is what they found for computer and math jobs. Hello, my education software engineers, data scientists, large language models could touch something like 90 plus percent of tasks, but in practice, workers report using AI on only a fraction of them so far. The jobs with the highest AI exposure today are white collar rolls, business and finance, computer science, law, computer service, comment down below if your job is listed here or your education is listed here. I'm mathematics and economics by education. Oh, and of course office administration. There are some safe jobs. About 30 percent of workers have basically zero AI exposure right now. Cooks, bartenders, mechanics, cleaners, many trades and in-person service jobs. And here's the subtle but important point. They don't see a big spite in an employment yet for most AI exposed jobs. What they do see is a slowdown in hiring into those roles, especially for younger workers. So the people in those jobs aren't losing them overnight, but it's getting harder for new people to get into those fields in the first place. I totally see this trend. So I run through YouTube channels to Instagram, Z-Mail, and there's a lot of things. Four weeks ago, I asked my chief of staff, CEO, oh, I asked her to hire someone who would help me with scripts for brand deals because it's like you need to look at what the brand sends you. Then it has to be a personal story like there are so many different points you need to connect for that. And we start looking, some testing some people and people are like, we found someone who's genius, but like a thousand pounds for a script for a 60 second video. I like, expensive. And I trained a cloud project and we completely eliminated a need to hire someone for just scripts. Did that scare me? Yes, the thing is it is happening. It kind of makes me sad, but it kind of wants me to help you guys with the next steps because it is happening. And this is basically the story that this anthropic report is actually telling the jobs aren't disappearing yet. The tasks inside those jobs are being reshuffled. One person can handle more. You don't need more people. And the people who understand which of their tasks are being reshuffled and moved proactively are the ones who come out ahead. Sadie explains this with a very simple picture. Imagine the whole global workforce are just 100 people. Let's bring it down to, let's pretend the entire global workforce is 100 people. About 50, 50 something of them would need rapid reskilling by 2030. About two thirds of those could be reskilled within their current role. That's what employers are telling us. And about one third of them would have to be reskilled or upskilled and redeployed into a different role inside the organization. However, there's about 11 people in this overall 100 person workforce that wouldn't necessarily have an easy place to be reskilled to. And I think that's where the tension comes in. A lot of the change could probably be handled where people are currently employed. But there is going to be a significant share of the global workforce that will not find a role inside their own industry. That would need to move to a completely different industry. And that is where basic human connection and your social networks and your professional networks, that's where all of that comes in. For out of those 11 people, which industries are they in? Oh, multiple industries. So we do take a look at what are the declining roles, what are the growing roles. And when it comes to the declining side, I mean, you wouldn't be surprised to know that it includes people who are administrative assistants. It's people who are in some parts of customer service that is now getting digitally automated. But there's also a lot of growth, right? So, you know, the highest growth sectors include agriculture, include education. These are all things that the world population still very much needs. And the need, for example, there's, you know, a huge shortage of teachers around the world. That is still very much needed. And it doesn't mean that, you know, a profession such as that one is getting replaced by technology. So I do want to present the full picture beyond the ones that that are getting displaced. So the real danger isn't AI takes everyone's jobs. It's those 11 people out of every 100 who don't have a clear place to go. So even if today's layoffs are sometimes AI washed for shareholders, the deeper trend is real. Routine rules-based office work is under pressure. And some jobs will naturally disappear or radically change as AI gets better. If you want to stay ahead, in the AI era, follow Silicon Valley Girl podcast on your favorite platform, new episode every week on AI careers and how to not get left behind. Let's talk about safer zones. Saffer doesn't mean perfectly safe forever. But today, jobs with low AI exposure tend to be reality native jobs where you physically fix, cook, build, or care for things. Canics, electricians, plumbers, you've probably seen those. Viral reels where the plumber is the new millionaire. Chefs, cleaners, delivery, construction. High-touch human roles where you main value is, that's what I'm looking for. Emotional intelligence. Complex human judgment. I don't know a strategist inside a company or early childhood education. Many healthcare roles, social and community work. These are much hotter to fully automate because they combine physical presence, messy real world environments and human involvement. Let me give you a useful framework. A way to figure out exactly where you personally stand. So every job has two layers. Layer one is task layer, the repeatable rule-based work. Read this email, fill this report, answer this ticket, schedule this meeting, process the claim. Layer two, this is AI. Do you're below AI here? Layer two is above AI and this is the judgment layer. The stuff that requires context relationships, if you really have intuition experience, AI is eating layer one. Fast everywhere across every industry, not just in tech, in law and marketing, accounting and medicine and customer support. The Anthropic Report found that for white collar roles, AI can technically touch over 90% of tasks. In practice, workers are using in maybe 30 to 40% right now, but that number is growing every six months. So the question is not, is my job a risk? The question is, what percentage of my day is layer one versus layer two? If your answer is 80% layer one, meaning most of what you do is routine, templated rule-based, you have a real problem. Not because you're going to be fired tomorrow, but because every every year that passes your layer one work gets cheaper. And the company doing your annual review knows that. Your answer is 80% layer two judgment, relationships, strategy, creative decisions. You're actually in a stronger position than you were two years ago. Because again, AI is handling the layer one work for you, which means you can do more layer two work in the same hours, which brings us to the real question. If you want to stay ahead of the curve, what should you actually learn? As Sadia, what other skills that every worker needs to develop today? - I would say the human skills have just become even more important. So oddly enough, in a highly technologically-driven world, it is the human skills that have become more important than ever before. And that's very clear from every two years. We put out this list of the top 10 skills. And that's basically what comes through very loud and clear through that feature of jobs survey. So that's one piece. There is some element of that, which is also about being able to work closely with technology. But it's a couple of the top 10. Most of the skills in the top 10 relate to creativity, empathy, interpersonal interactions, leadership skills, social influence, self-management, being able to regulate your own self, especially in the midst of so much change. So those are the kinds of things that are rising to the top. Third point, unfortunately, those are not the skills that most employers test for. So most employers say that's what they want. But when you get into an interview process, that is rarely ever the set of things, unless people are doing it anecdotally, that is rarely ever the set of things that they're looking for. So the paradox of the AI era is the more powerful the technology becomes, the more valuable the human skills become. And if you look across SIDIA's work, the future of jobs report and the new AI research, the people who thrive tend to have a three-part skill set. Human skills, creativity, communication, empathy, leadership, social influence, self-management, the ability to handle work with other people. AI skills, not building models from scratch, but using tools like Claw, Chad, GPT, Copilot, and others to write first drafts, summarized, brainstorm, generate ideas, analyze data, knowing how to design good prompts and work close so that AI does the boring part. Domain skills, real expertise in something, marketing, law, finance, medicine, design, trades, the context you need to judge whether AI's answer makes sense and to turn it into real decisions. By the way, being AI native doesn't mean you work in a startup in Silicon Valley. It means that whatever you do, HR, sales, design, small business, your default is what can I offload to AI so I can spend more time on the uniquely human parts of this job. The challenge is that most schools and companies still don't explicitly teach those skills. So where do you actually practice them? So I think education systems are starting to change and recognize that the previous education system, which was deeply individualistic, competitive. If you got the number one position in your class, well, someone else had to be number two, for example. That's the old model. But I think a lot of education systems are starting to change, certainly from what we heard from some of the universities here. Because they recognize the value of collaboration, they recognize the value of group work. And I would think if there's one piece of advice I would give to anybody who is currently a student take on some of those group projects, work with other people, see how you can negotiate, work together, collaborate. And you'll find that working with others you're going to learn so much more, and it'll prepare you for the workforce. Because that's what most of our workforces are. So if you're a student or early in your career, the fastest way to build future proof skills isn't just another online course. It's projects with other people, group assignments, hackathon, side hustles, startups, volunteering. Anywhere you have to negotiate, coordinate, and ship something together. To make this practical, here's a simple way to start. In the next 30 days, pick one AI tool and use it every day for current work or studies, for writing, summarizing, analysis, or planning. In the next 60 days, ship one small AI-powered improvement, an automated report, a smarter template, a content generator, a complexity computer, is blowing my mind right now with content generation, something that serves you real time. In the next 90 days, pick one human scale from Saudi's list, communication, negotiation, leadership, self-management, and deliberately practice it in a real project with other people. If you do just that, you're already ahead of most people reacting to AI from fear instead of design. So where does it all leave us? Yes, some big companies are hiding behind AI when they fire people. It looks great to shareholders. We're optimizing, we're investing in the future. Sometimes that's true. Sometimes it's just a glossy label on old school cost cuts. But under the PR, the deeper trend is still real and unavoidable. Routine rules-based office work is being eaten by software and AI. New jobs are appearing in tech, green industries, healthcare education, and they demand a different mix of skills. The premium is rising on people who can combine human skills, AI tools, and domain expertise. We ask Sadia what she would say to a young person who feels anxious seeing AI, geopolitical tensions, and automation at once. All of these are potential trends. Some of these are trends that are highly likely to come true, yes. But throughout the last 20 years that I've been in the workplace, we have had these moments before. There has been geopolitical tension before. There have been wars before. There have been technological changes before. A lot has happened. There's been the great financial crisis. So there have been many disruptions. There's been COVID. So I think we should bear in mind that hasn't dented employment yet. That has required us to be resilient and to adapt. And those are certainly skills that young people should develop. But I remain always very optimistic and hopeful about the future. And that would maybe be my one piece of advice. Invest in yourself and stay optimistic. AI will absolutely change which jobs exist and how we do them. But it doesn't get to have read the whole story. Governments, companies, universities, and you still have choices. You can't control whether a CEO decides to announce AI layoffs. You can control whether you become the kind of person whose job is easy to narrate a way or a kind of person who knows how to use AI, lead people, and create value in the new system. If you treat AI as a thing that's going to take away your job, you'll spend the next few years really scared. If you treat it as new electricity for your career, your real job becomes to design how you're going to use it. And that job is only just beginning. If you enjoyed this episode, I highly recommend watching an episode that I've created with the CEO of LinkedIn on the future of jobs. He said more than a million jobs actually appear in because of AI. And he knows the data because he's the CEO of LinkedIn. The episode is right here. do not forget to subscribe to this channel and do not

Podcast Summary

Key Points:

  1. Many companies (e.g., Block, Alation) are using "AI" as a justification for layoffs, but insiders suggest this often masks overhiring from the previous boom.
  2. The Anthropic/Claude report shows AI currently affects tasks rather than entire jobs—white-collar roles (e.g., math, law, admin) have high exposure, but hiring slowdowns are more common than mass firings.
  3. The World Economic Forum’s Saadia Zahidi estimates that out of 100 workers, about 11 will need to switch industries by 2030, while most can be reskilled within their current roles.
  4. Jobs with low AI exposure include physical trades (plumbers, electricians) and high-touch human roles (healthcare, education).
  5. The key to future-proofing is combining human skills (creativity, empathy), AI skills (using tools like Claude/ChatGPT), and domain expertise, with a focus on collaboration and real projects.

Summary:

The video examines whether recent corporate layoffs are genuinely driven by AI or simply used as a convenient excuse. The speaker opens by noting headlines like Jack Dorsey’s Block cutting 40% of staff, with AI cited as the reason. However, a top jobs expert confides that many firms are leveraging AI anxiety to fix overhiring from the pandemic era.

Data from Anthropic reveals that AI currently reshuffles tasks rather than eliminating jobs outright—white-collar roles see high exposure but only a fraction of tasks are automated in practice, leading to hiring slowdowns rather than immediate layoffs. The World Economic Forum’s Saadia Zahidi explains that out of 100 workers, about 11 will need to move to entirely new industries by 2030, while most can be reskilled. Safe jobs include physical trades and roles requiring human judgment.

The speaker advises focusing on three skill sets: human skills (communication, empathy), AI skills (using tools like Claude), and domain expertise. A practical 90-day plan is offered: adopt one AI tool in 30 days, ship an AI-powered improvement in 60 days, and practice a human skill in a real project by 90 days. Ultimately, the video argues that AI is a powerful tool, but human adaptability and optimism remain crucial.

FAQs

According to experts, many firms are using AI as a convenient excuse to address overhiring from three years ago, though AI-driven changes are also real.

White-collar roles like computer and math jobs, business and finance, law, and office administration have high AI exposure, with over 90% of tasks potentially affected.

Jobs with low AI exposure include cooks, bartenders, mechanics, cleaners, and other in-person service roles that require physical presence and human interaction.

AI hasn't caused mass layoffs yet but has slowed hiring into AI-exposed roles, especially for younger workers, as tasks within jobs are reshuffled.

Human skills like creativity, empathy, leadership, and self-management are crucial, along with AI skills like using tools like Claude or ChatGPT, and domain expertise.

Use an AI tool daily for 30 days, ship an AI-powered improvement in 60 days, and practice a human skill like communication or leadership in a real project with others within 90 days.

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