Hardware engineers are in a strange place right now.
On one hand, AI-powered EDA tools are routing boards in minutes. Auto-placement tools are handling 700-net designs in under six minutes — work that used to take days. The embedded world is talking about AI agents that can write code, compile it, flash it to hardware, and iterate in closed-loop optimization, outperforming human experts after just seven iterations.
On the other hand, the question nobody can stop asking: “If AI can do the routing, what am I still here for?”
The “9.9 with Free Shipping” Signal
A recent discussion in hardware engineering circles captured the mood perfectly. Someone floated the idea that AI-driven PCB design could eventually bring the cost of a custom board down to something like “9.9 with free shipping” — a price point that signals commoditization.
It’s not literally about the price. It’s about what the price represents.
If the craft of PCB layout becomes automated, what happens to the people who built their careers on that craft?
Engineers are responding in a very human way: they’re worried. And then, almost in the same breath, they’re downloading the AI tools and learning how to use them.
That contradiction tells you everything. Nobody wants to be replaced, but nobody wants to be left behind either.
What’s Actually Happening in the PCB Industry Right Now
AI routing is not a demo anymore.
Cadence’s Allegro X AI — which runs on AWS Cloud and is ISO27001 certified — can route a 695-net, 14-layer board in about 5 minutes and 39 seconds. In one case, a 700-net design with four routing layers went from 5 days of manual work to 1 day.
The tools aren’t just “assisting.” They’re taking over entire workflows.
At the same time, AI-assisted development is entering embedded systems at scale. AutoEmbed, a system from City University of Hong Kong, generates code with 95.7% accuracy on embedded tasks, completing 86.5% of the work — 15.6% to 53.4% better than human-supervised workflows.
Embedded Arena showed that when LLM agents receive hardware-in-the-loop feedback, they can compress vision models 250x with less than 3.3% accuracy loss, and audio models 400x with under 6% feature error loss.
So yes: AI is writing code, routing boards, and optimizing firmware. And it’s doing it fast.
The Real Question: Replacement or Redefinition?
The fear is real, but the data suggests a more nuanced picture.
Engineers who learn to work with AI are seeing their value shift — not disappear. The conversation at Cadence’s recent tech salon captured this: engineers should not fear replacement, but instead transition their role from “executor” to “decision-maker”.
Here’s what that actually means:
The skill set isn’t gone. It’s moving up the stack.
What the Dev Community Is Actually Talking About
This isn’t just happening in PCB design — it’s happening across the entire software and hardware landscape.
Multi-agent systems are now a reality. GitHub Copilot Workspace lets you describe a feature in plain English and a chain of agents writes code, runs tests, and opens the PR. BMW factories are using AI agents to drive cars through kilometer-long production routes autonomously.
Only 11% of organizations have AI agents in production — but 38% are piloting them. That gap represents a huge opportunity for engineers who understand both the hardware and the AI side.
At the same time, AI-assisted development is becoming table stakes in embedded systems. Agents can now write and debug firmware. Model optimization tools can compress and deploy LLMs to MCUs. The trend is irreversible.
The CRA Factor: It’s Not Just About AI
Meanwhile, the European Cyber Resilience Act (CRA) is already changing how hardware engineers work. Security is no longer a “last-stage verification.” It has to be designed in from the start.
What does this mean for you? Compliance, testing, vulnerability scanning, and documentation are becoming core parts of the workflow. Engineers who can bridge the gap between AI-assisted design and security compliance are going to be in very high demand.
What You Should Do Right Now
Stop worrying about whether AI will replace you. Start figuring out how to work with it.
- Learn to prompt effectively. The value of an engineer using AI is not in how fast they type — it’s in how well they can describe what they want. The execution part is being automated.
- Own the system view. AI can handle local optimization. It’s not good at understanding full system trade-offs — power, cost, thermal, compliance, manufacturability. That’s still your domain.
- Treat AI agents like junior teammates. Review their output. Catch their mistakes. Guide them toward better results. If you can do that, you’re already ahead.
- Stay current on compliance. CRA and similar regulations are going to create a whole new category of work — and AI tools are not going to be good at it anytime soon.
- Build something small with AI agents. Set up a two-agent loop where one writes code and another reviews it. The hands-on experience is worth more than any article.
The Honest Take
The PCB design “9.9 with free shipping” meme is funny because it’s uncomfortable. It points to a future where the mechanical part of our work is cheap, fast, and automated.
But here’s the thing: the mechanical part was never the real value.
The real value was always in the decisions — why this board design works for this specific use case, why this material choice makes sense for this thermal environment, why this component selection balances cost and reliability for this product’s lifecycle.
AI is taking the repetitive work. It’s leaving the interesting work to you.
The question isn’t “will I be replaced?” The question is “am I ready to do the work that actually matters?”
AnyPCBA specializes in small-to-medium batch PCB fabrication and PCBA assembly. We see AI-assisted designs coming through our doors every week. We don’t replace human judgment — but we do help you get your boards to market faster.
👉 AnyPCBA website: https://www.anypcba.com/
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