2025-06-22
AI
We're living through a once-in-a-generation shift. With generative AI growing at breakneck speed, what once required a team of junior engineers can now be accomplished by a few smart prompts and a well-tuned model. While this sounds like a win for productivity and cost efficiency, there's a quieter, more sobering story playing out underneath.
From writing boilerplate code to debugging, testing, writing documentation, and even suggesting design improvements — AI tools like GPT-4o, Copilot, and Claude are replacing many of the typical responsibilities of entry-level engineers. And they don’t demand weekends off, don’t burn out, and don’t ask for raises.
Companies have taken notice. Startups and even large firms are experimenting with smaller, leaner teams supplemented by AI, especially for tasks that don’t require high levels of domain knowledge or creativity. For businesses, it’s a dream. For fresh graduates, it’s a warning.
I feel for the batch of engineers who began their careers in the past 4–5 years — or are just entering the workforce now. These are people who worked hard to crack interviews, land their first jobs, and start building careers. But many are finding the ladder they’re supposed to climb is now missing a few bottom rungs.
It’s not that junior engineers are obsolete — but their path is now murkier. Fewer companies are willing to invest in growing juniors when AI can produce similar output faster and cheaper. The era of being trained on the job is shrinking.
So where does this leave us? For those just starting out, the key might lie in mastering not just code, but how to work with AI — how to guide it, check it, and build on top of what it produces. Human oversight, empathy, judgment, and strategic thinking are harder to automate — for now.
For companies and leaders, it’s also a moment of reflection. Efficiency is great, but innovation doesn’t come from automation alone. Tomorrow’s great engineers will still need a starting point today.
We're witnessing a shift that will define the next decade of work. AI is powerful, but its rise also raises difficult questions about opportunity, access, and growth. Especially for those who had no say in the timing.
Let’s watch how this pans out — not just in terms of what AI can do, but what we choose to let it replace.