If you’re running a SaaS product, scaling a dev team, or building anything technical today you’ve probably seen how fast AI is creeping into the coding process.
One minute it’s helping with autocomplete. The next, it’s scaffolding your backend, writing your test cases, and building entire UI components before your dev even opens Stack Overflow.
We’re not in the experimentation phase anymore. This is the new normal. And if you’re still thinking of AI as just a productivity hack, you’re already behind.
The real question now isn’t whether AI can write code. It’s how much of the world’s software will actually be written by machines in the next five years—and how that changes the way we build, hire, and go to market.
Let’s talk numbers, trends, and what smart teams are doing right now.
Where we are in 2025
Here’s what the data says as of this year.
- Over 25% of new code at Google is already AI-generated, according to their Q3 2024 earnings call where Sundar Pichai confirmed that AI is now producing a quarter of all new code reviewed and accepted by engineers.
- GitHub reports that 92% of U.S.-based developers are using AI-assisted coding tools both at work and in personal projects, showing just how mainstream these tools have become.
- In a deep-dive analysis of 211 million changed lines of code, GitClear found that 41% of code written globally in 2024 was generated by AI — a massive shift from just a few years ago.
- JPMorgan Chase shared that their engineers increased productivity by 10 to 20% thanks to their internal AI coding assistant, showing how enterprise use cases are evolving fast.
If you’re not seeing those numbers inside your org yet, it’s not because the tech isn’t ready. It’s because your processes aren’t.
The fastest-growing teams in SaaS are already integrating AI into their workflows, not as a novelty—but as infrastructure.
Forecast: what happens by 2030?
Here’s where it gets serious.
Microsoft CTO Kevin Scott recently said he expects 95% of code to be AI-generated within five years. Dario Amodei, CEO of Anthropic, thinks we’ll get there even faster—maybe within a year if adoption keeps accelerating.
And when you look at where we started and where we’re heading, the trajectory is undeniable.So let’s stop thinking of Copilot as an assistant. It’s becoming the author of most production code—and not just for hobbyists or solo devs. Big teams are already shipping features with AI at the center of the build process.
2030: 90–95% AI-Generated Code (Projected): Continuing advancements in AI coding tools and their widespread adoption suggest that by 2030, AI could be responsible for generating between 90% to 95% of code.
What kind of code are we talking about?
Here’s where nuance matters. AI isn’t writing your core infrastructure from scratch. It’s not deciding how your architecture should scale. And it’s definitely not replacing senior engineers who understand business logic and systems thinking.
What it is doing well:
- CRUD operations
- Test generation
- Repetitive API integrations
- Frontend layout scaffolding
- Shell scripts
- SQL queries
- Boilerplate logic for internal tools
- Component documentation
- Landing pages and basic dashboards
This is the kind of work that normally takes up 30–40% of your dev team’s time—and it’s getting handled in minutes.
If you’re a founder or product manager trying to ship faster, this is exactly where AI creates leverage. Not by replacing people, but by letting them skip the work they didn’t want to do in the first place.
Why startups are building differently
In Y Combinator’s Winter 2025 batch, 25% of startups reported that 95% of their codebase was AI-generated.
Read that again.
These aren’t hobby projects. These are venture-backed teams building real products—with smaller teams, tighter sprints, and codebases scaffolded and expanded by AI tools.
They’re not hiring junior developers to write the same auth logic for the fifth time. They’re letting AI do it and moving their focus upstream—to distribution, customer experience, and monetization.
This is why the “do more with less” narrative around AI actually holds up in software.
But is the code actually any good?
Short answer—it depends who’s reviewing it.
AI is incredibly fast at writing code. But fast doesn’t mean secure, readable, or scalable.
GitClear reported a huge spike in code duplication as developers rely more on AI. Entire blocks are reused across files, sometimes with little context or optimization. And several studies have shown that AI-written code tends to miss edge cases or introduce silent bugs if you don’t give it enough constraints.
Stanford ran an audit that showed AI-generated code was more likely to contain vulnerabilities, especially when developers used vague prompts or didn’t review carefully.
So no—the machine doesn’t replace thinking. It replaces typing. You still need engineers who can look at the big picture and ask the hard questions.
Developers aren’t being replaced—they’re evolving
What you’ll hear in every engineering Slack right now is not fear. It’s curiosity.
The best developers aren’t worried about losing their jobs. They’re learning how to prompt better, review faster, and build smarter with AI as part of the team.
And their roles are shifting. You’ll see fewer people spending time writing boilerplate. Instead, you’ll see more of this:
- Reviewing AI-generated code and improving it
- Designing systems and data flows
- Handling performance tuning and scalability
- Building architecture that AI fills in, not creates from scratch
- Auditing security, reliability, and redundancy
In other words—AI is forcing developers to focus on the things that actually require skill, not just syntax.
What this means for hiring
If you’re still writing job descriptions the same way you did in 2019, stop.
Modern technical roles now include:
- Comfort with AI-assisted tools like Copilot, Cursor, or CodeWhisperer
- Strong review habits
- Ability to prompt and iterate quickly
- A mindset for testing and validating AI output
- Experience building workflows that integrate machine-generated logic
It also means you can hire leaner. If AI is handling 40–60% of your code by default, you need fewer people focused on typing and more people focused on solving problems.
Hiring isn’t going away. But the shape of your team is changing. And the best candidates will want to work in environments where this is already happening.
What should you be doing right now?
Let’s be practical. If you’re a SaaS founder, head of product, or technical lead, here’s where to focus:
- Audit your workflows
Where are developers spending time on repeatable work? Start there. - Adopt one AI coding assistant tool
Start with Copilot or Cursor. Give your team a few sprints to adapt. - Set code review standards
AI is fast, but messy. Put human oversight into the process before it hits production. - Upskill your team
Run internal training or workshops on AI prompting, testing, and review. - Update your hiring process
Look for devs who embrace AI workflows, not fight them. - Get your content and marketing aligned with this shift
If your audience includes technical buyers or engineers, your messaging needs to reflect how fast this is evolving. We cover that in more depth in our AI content strategy for SaaS guide
Where this is all going
By 2030, we’re not going to say “AI-generated code” anymore
We’re just going to say “code”
- The teams that win will be the ones that adapt fastest
- They won’t be bloated with unnecessary dev roles
- They won’t ship slowly because they’re still building things manually
- They’ll understand that leverage is the name of the game—and AI is how you create it
So if you’re still asking whether AI will write most of your code.
You’re asking the wrong question
The right question is what you’re going to do with the time it gives you back
Need help adapting your growth strategy for the AI-first era?
At Inbound Marketer, we work with product-driven SaaS teams that want to scale smarter, not just faster. If your audience is technical and your internal process is shifting, we’ll help you create content, SEO, and demand gen systems that match the speed of what you’re building
Book a strategy call and let’s get ahead of it