Leonard Austin
· 3 MIN READ

Observations, Reflections and Outlook for 2025


tl;dr — AI is coming for your job. No doubt about it.

It Feels Like a Superpower

I’m a backend engineer. Databases, APIs, server-side logic — that’s my world. I’m not proficient with frontend code. React, TypeScript, modern CSS — I muddle through, but it’s slow and painful.

AI changes that overnight. I now build full-stack applications across platforms I never touch otherwise. It genuinely feels like a superpower. The gap between “I know what I want to build” and “it’s built” shrinks to almost nothing.

But I still check everything. I need to know what I’m looking for, spot when something breaks, and know how to fix it. AI multiplies my output — it doesn’t replace my judgement. Yet.

Where This Heads

That “yet” does a lot of heavy lifting. AI takes on more and more of the implementation work. Soon, you don’t need to write code at all to build software. When that happens, the people who matter most are the ones who understand the problem: product thinkers and quality assurance. Knowing what to build and whether it actually works becomes the scarce skill, not the building itself.

The SaaS Question

This stretches far beyond individual roles. If AI builds software cheaply, why does a company pay for SaaS when it can build the tool itself? Custom internal tools, tailored to the exact workflow, at a fraction of the subscription cost.

Entrenched SaaS companies with deep integrations, network effects, and years of accumulated data hold their ground. But new SaaS startups? The window closes. The only ones likely to thrive operate in heavily regulated industries — finance, healthcare, legal — where compliance complexity creates a moat that AI alone can’t cross.

Technology Freezes

Here’s a less obvious prediction: fewer new frameworks and languages gain traction. Why pick something new when AI already knows the current stack inside out? AI models train on massive corpuses of existing code. They excel at React, Next.js, Python, Go — the established tools. They stumble on anything niche or brand new.

This creates a feedback loop. Developers use AI, AI works best with popular tools, so developers stick with popular tools, so AI gets even better at those tools. The incumbents win. Expect React and Next.js to dominate frontend for far longer than any previous framework cycle suggests.

Beyond Software

Everything I describe about software engineering applies to every desk job. Legal research, financial analysis, copywriting, design, project management — the pattern holds. AI handles the routine execution. The value shifts to judgement, taste, and problem definition.

The people who thrive stop identifying with the how and start owning the what and the why.