What the steam engine can teach us about modern chip design

By Arteris

May 18, 2026

In 1712, a quiet breakthrough took place in a coal mine in Staffordshire, England. It wasn’t heralded as a revolution at the time, but it was the spark that would ignite one.

That year, British inventor Thomas Newcomen installed the world’s first practical steam engine. It was a massive, atmospheric machine designed to pump water from deep mine shafts. By modern standards, it was noisy, inefficient, and entirely mechanical, but but it worked. For the first time in history, physical labor was being replaced by automated power on an industrial scale.

Within a decade, this very engine found its way to a silver mine in Nová Baňa, in present-day Slovakia, marking the start of a new kind of shift from muscle power to machines. Automation had begun its journey and from then onward, the rules changed, and kept changing.

The long arc of automation

Newcomen’s steam engine introduced a new paradigm of industrial-scale efficiency, and over time, innovation flourished. Every era has its inflection point. In the 18th century it was mechanical power. In the 20th century it was the transistor, ushering in the digital era, where logic and processing were no longer mechanical but electronic. Today, it is intelligence through AI; smart, adaptive, and now deeply integrated into how we design and optimize silicon.

From steam valves to silicon brains

In the modern world of chip design, Arteris FlexGen ® is similar to the concept of the steam engine “valve” that unlocks the potential of modern automation. If AI is our era’s version of steam, FlexGen is the mechanism that directs, focuses, and makes that technology usable.

At first glance, it’s easy to reduce innovation to speed through faster RTL development, reduced turnaround times, streamlined time-to-tape-out, and so on. But speed is just a symptom of a deeper transformation.

The real value FlexGen delivers lies in its intelligent design assistance, which is an ability to support engineers in building better chips with greater consistency, fewer errors, and far less manual effort.

But it’s not just about replacing human input; it’s about amplifying creativity, improving design quality, and making complex tradeoffs tractable. By embedding machine learning and algorithmic intelligence directly into the design process, FlexGen enables engineers to explore broader design spaces, uncover optimizations they might otherwise miss, and trust automation to do more than just repetitive tasks. In that sense, it becomes a partner in design.

FlexGen by the numbers

FlexGen isn’t a proof of concept. It’s production-ready and already delivering measurable impact across real-world designs, including:

• Up to 30% reduction in total wirelength, directly improving interconnect efficiency, reducing delays, and simplifying floorplanning.
• As much as a 10× increase in engineering productivity, allowing teams to deliver more within tighter timelines.
• Smarter buffer and repeater insertion, improving congestion and minimizing timing closure issues.
• Significant improvements in PPA (power, performance, area) through automated tuning that even experienced teams struggle to match by hand.

Just as importantly, FlexGen integrates these capabilities into existing flows, augmenting the design process rather than replacing it, supporting the engineer, and allowing teams to adopt inteligent automation easily. And in a world where process nodes are shrinking, power constraints are tightening, and system complexity is growing exponentially, tools like this are no longer a luxury, they’re essential.

Explore Arteris IP:

• FlexGen Smart Network-on-Chip (NoC) IP
• FlexNoC Interconnect IP
• CodaCache Last-Level Cache IP
• Ncore Cache Coherent Interconnect IP

Why this transformation matters now

History has a way of hiding its inflection points. In 1712, no one could have guessed that a strange, clunky machine in an English coal mine would become the foundation for global industrialization. But it did.

In much the same way, today’s advances in silicon design automation might not seem revolutionary, at least not at first. But they are laying the groundwork for a seismic shift in how we create the digital systems that power our world.

FlexGen represents a new phase in that journey, not just faster, not just more automated, but smarter. And just like steam engines, this new class of tools will quietly but decisively reshape the engineering landscape.

We may not see the full impact yet, but the pattern is familiar. What began as a noisy, inefficient machine in a coal mine became the foundation of industrial progress. Today, intelligence embedded in silicon design is following a similar path. It is early, it is evolving, but it is already changing how systems are built. The difference is that this time, the power is not steam. It is data in motion; directed, optimized, and made usable through intelligent interconnect design.