People outside LATAM often underestimate how much of the region’s talent advantage comes from pressure, not comfort. Countries like Argentina combine something unusual: extremely demanding public education systems, high academic standards, and real-world work experience starting very early 👈 A lot of people begin working long before graduation. They learn English because they need it. They freelance, switch industries, survive economic crises, adapt to unstable markets, work remotely for foreign companies, and build careers in environments where nothing feels guaranteed. And that… That creates a very different professional profile! Not just “cheap talent”, you’ll find with unusually high adaptability, autonomy, problem-solving capacity, and tolerance for ambiguity In Argentina 🇦🇷 specifically, even people who never finish university often end up with a stronger academic foundation than fully graduated professionals in many other countries, especially in technical and analytical fields. At the same time, they accumulate years of practical experience much earlier. And now AI is accelerating this even more 🤔 The companies moving fastest are no longer hiring only from the same closed circles in SF, NYC, or London. They’re increasingly looking globally for people who can learn fast, operate independently, communicate across cultures, and adapt as systems change in real time. That’s part of what we study at @normiesnetwork: Not only jobs, not only AI, but how access to opportunity is changing globally 🌎 Who adapts faster, which countries generate resilient talent, how hiring systems evolve, how communities, reputation, distribution, and market signals start mattering as much as credentials. The future of work is becoming less linear, less institutional, and much more asymmetric… And LATAM, especially countries like Argentina, is one of the most interesting places to observe that shift happening in real time 👈

There aren’t that many people being fired and directly replaced by AI yet, but there are a lot of people who can’t get their first job because, once someone retires or resigns, that position gets covered by AI instead of a new employee. Companies usually don’t prefer layoffs (they’re expensive, harsh if the person was performing well, and bad for reputation). What they’re doing instead is not hiring once someone leaves, plus offering generous voluntary exit packages so some employees choose to go. If this continues, the most likely scenario is that people who are under 22 today may never land a first real job. People under 30 may struggle heavily to progress in their careers. Older people who left employment to start businesses, failed, and later try to return to salaried work may find the door closed. There will be more and more people without work (some may never have worked a formal job in their lives), or stuck in low-skill, highly precarious jobs like delivery work or app-based driving. Meanwhile, the best jobs will be concentrated among a small percentage of highly skilled people who understood the timing and positioned themselves early. And that timing is now. Whether you have experience or not, this may be the last real window to position yourself in your field so that when ten people leave a company and they decide to hire only one new person plus implement AI and automation, that one person is you.

There’s this narrative going around that if you didn’t get into tech before 2021/2022, you’re basically locked out. Many say tech became a closed system, that now with AI juniors have no chance, and the people who got in earlier “won” and pulled the ladder behind them. It’s a convenient explanation, but it’s not correct. What actually happened is much simpler: the market got stricter. And this started before ChatGPT, Gemini, and Claude. In 2019–2021, companies were hiring fast, often inefficiently, and absorbing a lot of profiles that today wouldn’t pass a first filter. There was more room to learn on the job, more room to be average, more room to figure things out while getting paid. Now that margin is gone. The expectation is to show value earlier. Not potential in the abstract, but something concrete: projects, understanding of tools, ability to execute, ability to communicate. And this is NOT just about juniors. There are plenty of people with years of experience who are struggling to get interviews. Not because opportunities disappeared, but because their profiles didn’t evolve at the same speed as the market 😶 Outdated stacks, no ownership, weak communication, no use of AI tools. All of that gets filtered out much faster now. So framing this as “you missed your chance” avoids the real point. The bar moved. At the same time, something else changed: it has never been easier to build and ship things independently. This is usually either ignored or overhyped, with no in between. You don’t need a company to validate you before you can start creating value. The tools are there, the access is there, the distribution is there. Most of these projects fail, that’s true. Most startups fail. They never generate revenue. But the important shift is this: relying only on a traditional “trainee role” as the entry point is no longer enough in many cases when trying to gain experience. The path is less linear and more demanding, but also more open in different ways. 👉 The real problem is that both candidates and companies are still approaching the market with a 2021 mindset, expecting similar outcomes in a completely different context. This is the layer Normies Network is focused on: what’s actually working between candidates and companies in a more selective market Join us

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