How Tech Workers Can Skill Up for Any Future
Based on data sourced by TheNewStack, more than 5 million computer science graduates and another 400,000 bootcamp grads will enter the global job market this year. All these “career newbies” are digesting conflicting headlines of layoffs in some areas, and hiring growth appearing in others. And looming behind all of this is the biggest question: what does a tech career even look like when AI can now write code, debug that code, clean and process data, and automate workflows that entry-level tech workers used to do?
The New Stack piece interviews a dozen engineering leaders (each with over a decade of experience) asking them what advice they’d give people entering the tech job market in 2026. These expert recommendations apply whether you’re heading into software engineering, data science, or honestly any field, given the reality that everyone’s trying to navigate a rapidly changing work and career landscape.
What the Experts Say
Below are a few of the most important — and consistently offered — takeaways offered by the experts:
Get really good at learning. Your ability to absorb new concepts quickly and apply them matters more than what you already know. The tools will keep changing, let’s face it, there’s a new “AI-agentic-blah-blah-blah” announced every day. Your learning velocity is what creates an enduring advantage.
Don’t compete with AI, collaborate with it. You’re not going to out-code or out-analyze AI. Learn to use it as scaffolding for your work while you focus on the judgment calls that actually need to be made by a human, like knowing how to “prompt” your AI-partners to follow the right path, and solve the right problems.
Build relationships as well as systems. Technical skills get you in the door. The ability to build trust, develop influence across teams, and understand what challenges other people face determines how far you can go. AI writes code, but it hasn’t demonstrated an ability (at least so far) to build relationships —or communicate effectively—in the authentic way you can.
Focus on the basics. Don’t skip the fundamentals in pursuit of the latest framework or greenfield solution. Understanding core principles—things like security, system design, and compliance best practices—creates a foundation that doesn’t collapse or need to be refactored when it’s time to scale or deal with the “next wave” of change.
Two More Key Recommendations
The experts interviewed in TheNewStack piece covered many essential points, but two critical takeaways weren’t highlighted by the article’s experts. It’s these two attributes that separate great technical professionals from good ones:
Understand the business you are in and the customers you serve. It’s easy for engineers and technical team members to treat the “know the customer” challenges as someone else’s job. They love to build elegant solutions or create amazing features which may not satisfy customer needs, and therefore fail to power the organization’s business model towards profitability, and more importantly sustainability. Ask yourself a few questions:
How do we enable our customers to absolutely love what we build?
How does what we build then create value someone will pay us for?
Connecting your work to actual customer success makes you exponentially more valuable within your team and more broadly to your company / organization.
Focus on defining important problems, not just solving those assigned. The people who advance fastest aren’t just good executors waiting for tickets to close. They extend their ability to “learn rapidly” (see above) into an ability to define which problems, once solved, unlock value for others—customers or colleagues. Pay attention to problems that reveal themselves as bottlenecks, recurring complaints, or opportunities that aren’t being pursued. And once you’ve defined a big problem, take the next step: design and propose a solution.
The future belongs to technical experts who can help deliver amazing experiences for customers and solve real problems for real customers and co-workers, working in collaboration with both AI and other humans. That’s a skill set worth honing because it will play in any job market.
This post draws from “Advice for People (Still) Entering the Tech Industry in 2026“ published in The New Stack.
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