The reckoning is here. Once a safe harbor, Big Tech has finally also gone full out on layoffs. Is this a structural shift to employment in Tech? Will the subsequent talent spillover be great for start-ups and entrepreneurship? Will it positively affect other industries? In this episode of Tech Deciphered, we will answer these and other questions in a deep discussion on the Global Tech Labor reset. Navigation: Intro (01:34) Layoffs & Restructuring Shifts in Compensation & Perks Rise of Fractional, Freelance, and Solopreneur Work Talent Spillover to Other Sectors Geography & Culture Shifts Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno Goncalves Pedro Welcome to Episode 66 of Tech DECIPHERED. Today, we’ll talk about the global labour tech reset. Tech and big tech, which seemed immune to any lay-offs, seems now to be under fire. Massive lay-offs over the last 2.5 years, a lot of discussion around the importance of having a computer science, computer engineering background, and so what seemed to be a safe haven for any graduate is now under stress. Today, we will discuss the structural perspective on what’s happening in the market, if this is a long-term trend or not, what has led us to this, and what is next. We’ll talk about the rise of fractional freelance and solopreneur work, as well as talk about talent spillovers, and some of the usual geographical dynamics around the space. Bertrand, a huge shift in tech. Bertrand Schmitt Yes, definitely. It’s pretty big. I think it started probably around 2022, once we got some changing interest rates that have a pretty massive impact in stock prices for a lot of companies. At that time, a lot of companies decided, and usually under some pressure, that it was time to be more efficient, to generate more cash. Yes, you want to grow, but not grow at all cost. You have to go efficiently. That’s when we started to see some share price going down and step by step, quarter after quarter. Some change in attitude with a lot of big tech and that has created some impact in term of lay-off from different parts of the business, from the sales team to the DNA, to even engineering R&D. What is also been happening since 2022, 2023 is a change of focus. A lot of focus is being put in AI. A lot of investment in CapEx is going to AI. At some point, if you want to keep doing all this investing, investments, you might have to get some other part of the business in order to create additional savings to do all the spend you can in AI. There has been more recently a switch. It’s not about just efficiency to push all the… But generating the ability to invest in AI. Nuno Goncalves Pedro It’s part of a broader movement. Before we step back a little bit and go back in history, even recently, we’ve heard that there’s talks between Meta and a bunch of private equity firms like KKR, Brookfield, Apollo, and others, to actually help in financing data centers. Meta is a gigantic company, so one would assume they have cash to do all these things. Maybe they don’t. To your point, that level of efficiency that is now needed in the market where you need to throw actual money, CapEx, into the building of infrastructure, the building of the core underpins of what you’re doing is pretty vital. But let’s go back a little bit of a second, and we’ve talked about it maybe in our early episodes. Companies like Meta, Facebook back in the day, Google, Alphabet now, and others had a tendency, in particular in the Bay Area, to hoard engineers. They would over-hire. There was a lot of discussion that some of these players had as much as 20%-50% the engineering resources they needed, and part of that is that they didn’t want their competitors to have them, and so in some ways, we went from hoarding too much capacity to the days of COVID that in some ways illustrated that there were a lot of people that maybe were not working very hard also on the engineering side, not just on the sales, et cetera side. That right-sizing, I think, has been a long time coming. We discussed in a past episode that there was a little bit of an adaptation, or an adaptation, rather to the market by a lot of these public companies saying, “Now that I have a mandate where there’s lay-offs happening in other industries, I can do it myself.” But this time is different, and I think the message of probably today’s episode is going to be around that. This time is different. There are some fundamentals that have changed. Bertrand has already alluded to AI as one fundamental shift in terms of the efficiency of engineers, in particular more junior engineers. There is more behind this. There is the notion that you need less to deliver more. In tech, I would start with a platitude. I think if anything, everyone talks about AI and how AI is going to disrupt financial services, and it’s disrupting functions like marketing, and displacing people around, for example, customer service, and all of this. But a lot of people forget to talk about the most obvious industry that’s being disrupted by AI, and that industry is tech. Tech is disrupting itself with AI because you have all these tools available, you have all these platforms that you’re deploying, and they have value for your own purposes. They become the underpinning of a more efficient workforce, in particular if you’re a tech company. A lot of people don’t talk much about that, but I think a lot of what we will talk today around lay-offs and efficiencies and all of that actually do relate to the fundamental shifts we’re seeing where the emergence with a lot of these AI tools and platforms that we’re seeing, so tech is disrupting itself at the end of the day. Bertrand Schmitt I think AI has two effects. One is it’s so big, it’s so important, you cannot miss it as a business that you are going to reallocate resources. From your traditional product lines, your traditional development, expansion, creation of new features, and you will reallocate instead more money to AI. It can be one side, can be just CapEx, and the other side will be, of course, software that you want to develop connected to AI. I think that was the first effects that started early on. What it means is that many companies ultimately decide to fire people who are not so AI knowledgeable and instead hire people who have more expertise in AI. I think what you are talking is a second effect of AI. Now we start to reap the rewards of the investment in AI. What we are seeing as a result is that we can do more with less. Basically, if you’re a software company, or a tech company, you have a lot in software engineering. If you have a lot in software engineering, guess what? One of the best way to leverage AI is actually to use it to develop more efficiently, faster. The tools have gotten better and better, what we got 2 years ago was barely usable, 1 year ago start to be good. Now, I must say, it’s shockingly impressive what you get if you have tool like Visual Studio or if you use some other tools on the market that are even more focused on AI. It’s quite shocking the quality of the code auto completions that you can get. It’s quite shocking what you can get from other tools directly like ChatGPT. It’s definitely like having a buddy that can support you, check your code, provide you some IDS, run code, help you go faster through documentation, testing. You are going to save time. The first effect might be, you know what? We can do so much more with the same workforce. Maybe we can reduce slightly the workforce, and we’ll still do more thanks to AI. Of course, there might be a question of you might want to keep the same size of software engineering so that they deliver even way more than before and your pace of development is truly accelerating. Companies are facing multiple options here. It looks like many are choosing to be more efficient. Nuno Goncalves Pedro Yeah, there’s just… Let’s talk numbers, right? In terms of lay-offs, 2024 alone, it seems like the number was around 250K-260K, globally, people were laid off. Bertrand Schmitt In tech. Nuno Goncalves Pedro In tech, yeah. This is global tech lay-offs, right? In tech, 250K, 260K tech lay-offs in 2024. In the US, it varies. We have numbers that go from 95,000-150,000 tech jobs in the US alone that were laid off in 2024. We’ve had numbers that over a period of 2.5 years, 400,000 people in tech were laid off globally. These are massive numbers. This is an industry that by itself was already, in some ways, part of some efficiencies. It’s not the most inefficient industry in the world in some ways, so very significant numbers that we’re talking about. Bertrand Schmitt It’s not just lay-off, it’s also who you are not hiring anymore. I think we found an interesting stats and the quantity of entry-level tech jobs have dropped by 50% since 2019. Before the pandemic, new graduates made up 15%, of big tech hires. Today, it’s just 7%. We’re moving from 15% to 7%. It’s pretty shocking. Where is it coming from? We talk about general cost-cutting measures post-COVID, but for sure, there is a lot around AI and automation, and especially since that AI is replacing a lot of more entry-level jobs. It can be QA, it can be IT support