In design circles, the AI debate splits into two responses: principled resistance and principled engagement. Dan Cohen offers a third: historical context.
Writing for Humane Ingenuity, Cohen uses Tracy Kidder’s The Soul of a New Machine—the 1981 Pulitzer-winning account of Data General’s minicomputer team—as a mirror for the current moment. He opens with a scene that reads like a 2026 AI company profile before revealing it’s from 1979:
A crack team of hardware and software engineers, inspired by breakthroughs in computer science and electrical engineering, are driven to work 18-hour days, seven days a week, on a revolutionary new system. The system’s capabilities and speed will usher in a new era, one that will bring transformative computing to every workplace. The long hours are necessary: the team knows that every major computer company sees what they see on the horizon, and they too are working around the clock to take advantage of powerful new chips and innovative information architectures.
The team is almost entirely men, men whose affect and social skills cluster in a rather narrow band, although they are led by a charismatic figure who knows how to persuade both computer engineers and capitalists. This is a helpful skill. Money, big money, is flowing into the sector; soon it will overflow. Engineers are constantly poached by rival companies. Hundreds of new competitors arise to build variations on the same system, or to write software or build hardware that can take advantage of this next wave of computing power. Some just want to repackage what the computer vendors produce, or act as consultants to the companies that adopt these new machines.
Sounds a bit like today’s Silicon Valley 996 culture, but that’s Data General in 1979. The team also worried about the Pentagon weaponizing their machine, job displacement, and whether their work might eventually produce true AI and destroy humanity. Those concerns date to 1979.
Cohen’s argument is about scale: the minicomputer moved millions of companies from paper to digital for the very first time; that was a genuine revolution. AI, he argues, is improving workflows that are already digital. His question: is that the same order of disruption?
Carl Alsing, one of the engineers who built the Eagle, told Kidder when asked about artificial intelligence:
“Artificial intelligence takes you away from your own trip. What you want to do is look at the wheels of the machine and if you like them, have fun.”
Cohen closes with the historical outcome:
In the 1980s, most of the minicomputer companies, launched with such excitement in the late 1970s, failed. Data General was acquired for a fraction of the billions it was once worth. The minicomputer, however, was broadly adopted, was transformative, became routine, and then was surpassed by a new new machine, the personal computer.
Later, Data General’s domain name, DG.com, was sold to a chain of discount stores, Dollar General.

The Role of a New Machine
An old book puts today’s new technology in perspective























