{"schemaVersion":"1.0","type":"Article","types":["Article"],"slug":"are-we-still-hired-for-what-we-know-or-for-how-fast-we-can-adapt-iioj4","url":"https://zyvop.com/are-we-still-hired-for-what-we-know-or-for-how-fast-we-can-adapt-iioj4","title":"Are We Still Hired for What We Know, or for How Fast We Can Adapt?","subtitle":"I want to hear how people in different countries are experiencing the technology job market, because I am not convinced we are all talking about the same reality.","tldr":"Being competent no longer feels like enough in technology. Are AI, global competition and constantly changing expectations making us better professionals—or turning work into a permanent audition?","keywords":["Work","career","software development","Artificial Intelligence","Tech Industry"],"entities":["Ballwictb","Developer","Work","career","software development","Artificial Intelligence","Tech Industry","ZyVOP"],"keyTakeaways":["I have been thinking about how people see work in the technology sector today, especially in different parts of the world.","For years, the message was simple: learn to code, develop useful skills and there will be a place for you.","Technology was growing, companies needed people and a technical profile seemed to offer a relatively clear path into stable work."],"headings":["Standing out—but how?","AI has raised the question even further","The junior problem","The technology job market is not one market","Has continuous learning become continuous competition?","I want to know what it looks like from where you are"],"outboundLinks":[],"contentText":"I have been thinking about how people see work in the technology sector today, especially in different parts of the world. For years, the message was simple: learn to code, develop useful skills and there will be a place for you. Technology was growing, companies needed people and a technical profile seemed to offer a relatively clear path into stable work. I do not think that message is completely false now, but it feels incomplete. My impression is that being competent is no longer enough to feel visible. There are more people trying to enter the sector, more experienced workers competing for the same remote positions, more tools making basic tasks accessible and companies expecting candidates to arrive with a wider range of skills. The job still exists. The definition of “ready for the job” keeps moving. Standing out—but how? When people say that we need to stand out, it can mean almost anything. Do we need more certifications? More personal projects? A stronger GitHub profile? Better communication? Cloud knowledge? Open-source contributions? A personal brand? Five programming languages and the ability to explain Kubernetes to somebody who did not ask? At some point, “standing out” can become another way of saying that every professional must run a permanent advertising campaign for themselves. I find that uncomfortable. I genuinely enjoy computing. I am one of those people who can finish the working day and still open another project because I want to build something, test an idea or understand a tool better. That gives me an advantage, but it also makes me wonder whether the sector increasingly treats that kind of obsession as the minimum. Not everyone can spend every evening learning the next framework. People have families, responsibilities, health problems and interests outside work. A good developer should not automatically become less valuable because another person can dedicate every free hour to a public portfolio. So perhaps the real question is not whether we need to stand out. It is what should make someone stand out. Hours worked? Number of tools used? Or the ability to understand a problem, make sensible decisions and deliver something reliable? AI has raised the question even further Artificial intelligence is probably the clearest example of this change. Some people reject it because they want to prove that they can do the work themselves. Others use it for almost everything and risk losing the ability to recognise when the answer is wrong. I do not think either extreme is particularly useful. My opinion is that adapting to AI is becoming part of working in technology. Not because AI replaces knowledge, but because using it efficiently can change how quickly we investigate, document, test, migrate, review and understand a system. The important word there is efficiently. Using AI well is not copying the first answer into production. It means knowing how to provide context, divide a problem, question the result, verify the code and remain responsible for the final decision. If you cannot judge the output, the tool is not making you more capable. It is only making your mistakes arrive faster. At the same time, I think the existence of these tools is raising expectations. If one person can use AI to complete a task more quickly, companies may soon treat that speed as normal. The time saved does not always become free time or deeper thinking. Sometimes it simply becomes more work. That creates a strange cycle: A tool makes us faster. The new speed becomes the expected baseline. We adopt another tool to stand out again. That advantage becomes the next baseline. Are we becoming more productive, or are we continuously moving the starting line? The junior problem I am especially curious about how this affects junior developers, testers, system administrators and other entry-level profiles. Many of the tasks that traditionally helped people learn—writing simple code, preparing basic documentation, creating test cases, fixing small bugs or performing repetitive analysis—are also the easiest tasks to accelerate with AI. Companies can now expect a junior professional to produce more from the beginning. But if the simple work disappears or is delegated to a model, where does that person develop the judgement needed to handle the difficult work later? We cannot ask people to have experience while removing the tasks through which experience was built. Perhaps AI will create better learning opportunities. A junior can ask questions without fear, explore unfamiliar code and receive explanations immediately. That is genuinely valuable. But it could also create a generation of people who can produce an answer before they have learned how to evaluate it. The difference will probably depend less on whether someone uses AI and more on how consciously they use it. The technology job market is not one market This is also why I want to hear from people in different countries. When we talk online about “the tech job market”, we often speak as if it were one global system. It is not. A developer in Madrid, Casablanca, Berlin, Buenos Aires, Bangalore or San Francisco may work with similar technologies while living in completely different labour markets. Salaries, contracts, working hours, job security, education requirements and access to remote work can change the entire experience. Remote work has opened opportunities that did not exist before. It has also made competition more international. A company can search beyond its own city, but a candidate is now compared with people far beyond that city too. In one country, companies may still struggle to find technical workers. In another, a junior vacancy may receive hundreds of applications. One employer may value practical projects, while another filters candidates by degree, years of experience or certifications before a human reads anything. That is why I am cautious when somebody says either “there is plenty of work in tech” or “the sector is finished”. Both statements may feel completely true from where that person is standing. Has continuous learning become continuous competition? Learning has always been part of technology, and honestly, that is one of the reasons many of us enjoy it. But learning because you are curious is not the same as learning because you are afraid of becoming unemployable. There is a difference between healthy adaptation and permanent anxiety. The difficult part is knowing where one ends and the other begins. I do believe that professionals need to adapt. Ignoring AI, automation or a major change in your area will not protect your career. But companies also have a responsibility to train people instead of expecting every new skill to be acquired privately, after work and at the employee's expense. If the sector changes every year, should adaptation be an individual obligation, a company investment or a combination of both? And if everybody must constantly prove that they are exceptional just to obtain an ordinary job, perhaps the problem is not that people are failing to stand out. Perhaps the baseline has become unreasonable. I want to know what it looks like from where you are My current view is this: the future of technology work will not belong simply to the person who knows the most tools. Tools change too quickly for that. It will favour people who can learn, understand context, communicate clearly and use tools—including AI—without surrendering their own judgement. But that is only my perspective, and I may be seeing the market through a very specific window. So I would genuinely like to hear yours: What country are you working or looking for work in? Is finding a technology job easier or harder than it was a few years ago? What actually makes a candidate stand out where you live? Are employers asking for AI skills, or is the conversation still mostly happening online? Has AI made your work better, or has it simply increased what people expect from you? Do personal projects still show genuine curiosity, or have they become unpaid proof that you deserve an interview? Should companies give junior professionals space to learn tasks that AI can already perform? Where do you draw the line between adapting and chasing every trend? I am not looking for a universal answer. I am more interested in discovering how different the answers are. What does working in technology feel like in your part of the world right now? If it annoys you twice, turn it into a tool. See you in the next build. — Ballwictb","contentHash":"sha256:d716a30c039215365b16e093b21e861da1dc1342e1a2d7e3eaf257b44e75a140","authorName":"Ballwictb","authorUrl":"https://zyvop.com/author/ballwictb","authorSameAs":["https://besur.site/web/","https://github.com/Ballwictb","https://www.linkedin.com/in/jamalrabah/"],"category":null,"tags":["Work","career","software development","Artificial Intelligence","Tech Industry"],"audience":"Technical professionals and readers researching Work","tone":"Professional, developer perspective","readingTimeMinutes":6,"wordCount":1405,"faqs":null,"primaryTopic":"Work","publishedAt":"2026-10-03T20:59:33.635Z","updatedAt":"2026-10-03T20:59:33.635Z","canonicalUrl":"https://zyvop.com/are-we-still-hired-for-what-we-know-or-for-how-fast-we-can-adapt-iioj4"}