· 4 min read
Keeping up is part of the job now
I've changed what I do for a living twice because the technology around me changed. I started as a software engineer in 2014. When machine learning became practical for real businesses, I moved into data science, and later into product management for AI products. Each move meant learning a new field, a new vocabulary and a new way of judging whether my work was any good.
Those changes played out over years. What's different now is the pace. The tools people use at work are changing every few months, and skills that took years to build can start to matter less in the space of one.
What's changing
A lot of what used to prove you were good at a job is now something a tool does in seconds: a first draft, a basic analysis, boilerplate code, a summary of a long document, a decent-looking design. None of that has become worthless, but on its own it no longer shows much, because anyone with the right tool can produce it.
That hits people at the start of their careers hardest. The simpler tasks that juniors used to learn on are exactly the ones being automated, so there are fewer of them to hand out, and the jump to the harder work comes sooner.
Why finding a job is getting harder
I think it's worth being honest about this rather than pretending it will sort itself out. When a tool makes a team more productive, some companies choose to grow the team's output rather than its size. Entry-level openings shrink first. At the same time, anyone can now produce a polished CV and cover letter in minutes, so recruiters receive far more applications that all sound the same, and many of them use AI of their own to filter the pile. It's easy to be rejected without a person ever reading what you sent.
If you're looking for work right now and finding it exhausting, that isn't a personal failing. It's a difficult market, and it's tiring for people at every stage, including those mid-career with families and commitments who didn't expect to be starting over.
What seems to help
I don't have a formula, but a few things have held true for me through each change, and I see them helping the people who are doing well now.
Understand a problem, not only a tool. Tools change every few months. Knowing how a particular business works, what its customers need and where the real bottlenecks are lasts much longer, and it's much harder for a tool to replace. The combination of real domain knowledge and fluency with current tools is rare and valuable.
Show your work. A CV lists skills, but so does everyone else's. Something small and real that people can see and try, such as a project, a tool, a piece of writing or a case study, proves them. It also gives an interviewer something specific to talk to you about.
Get good at the parts that need judgement. Deciding what to build, explaining trade-offs to someone who isn't technical, taking responsibility for whether something works, and knowing when a confident answer from a tool is wrong are all skills that matter more as the routine work gets automated.
Make learning a habit rather than an emergency. Waiting until you need a new skill to learn it is what makes change feel overwhelming. A little every week, on something you're curious about, adds up faster than you'd expect.
A realistic kind of hope
Keeping up used to be something you did every few years, when your field shifted. Now it's simply part of the job, for all of us. That's demanding, and it isn't fair on everyone equally.
It also means the door is more open than it looks. With the tools available today, one person can build, test and show real work far faster than when I started. If you're trying to find your footing, that is the most useful thing to use them for.
AI tools help me draft these posts. I edit them, and the views are my own.
