In From ETO to CTO, we argued that the construction industry must move from bespoke project delivery toward a Configure-to-Order marketplace. In What Modularity Really Means, we argued that this shift depends on shared interfaces, not just factory-made parts. This essay asks what kinds of institutional coordination must accompany physical innovation if that transition is to scale.

In The Question Concerning Technology, Martin Heidegger¹ describes a modern tendency he calls “Enframing”: the habit of seeing the world primarily as a stockpile of resources to be ordered, extracted, and optimized.² Under Enframing, a river appears as hydroelectric potential, a forest as timber inventory, and people as human resources. The danger is not technology itself, but a narrowing of perception. When everything is understood only through utility and efficiency, other forms of value and other possibilities for relationship recede from view.

Applied to construction, this caution is useful. It reminds us that cranes, BIM models, modular products, and factory floors are only part of the story. Equally important are the social technologies that govern how people coordinate around those tools.³ Contracts, approval pathways, handoff structures, and rules of engagement are technologies, too. They shape how work is divided, how risk is assigned, and how trust is built.

After all, new physical systems rarely succeed on technical merit alone. They succeed when the surrounding social technologies are ready to receive them.

The history of industrialization makes this clear. The power loom increased textile output, but its transformative effect depended on matching social innovations: factory organization, labor discipline, women’s housing arrangements, and supervision systems that kept the machines running continuously at scale. The breakthrough was not mechanical alone. It was organizational.

Both physical and social technologies are invented. Both evolve. And both determine the productive capacity of an economy.

This distinction gained traction at a 1987 Santa Fe Institute workshop that brought together economists, physicists, and systems theorists to reconsider the drivers of economic growth.⁴ Their conclusion was straightforward: physical technologies are not enough. Many of the largest productivity gains of the 20th century (including mass production, quality management, venture capital, and agile development) came from better ways of structuring human interaction. As Eric Beinhocker later wrote in The Origin of Wealth, the most significant productivity gains came not from better physical tools, but from better ways of organizing people to use those tools.⁵

This helps explain why so many AEC software startups of the past decade have failed to deliver systemic change. Physical innovation still stalls without better ways to align incentives, communicate intent, share risk, and divide labor. Too often, contemporary software merely accelerates outdated professional structures instead of redesigning them. In that sense, the technologies that most shape an industry may not be found in factories or code. They may be found in the invisible structures that make collective action possible.

The CTO Marketplace begins with this premise. The U.S. construction industry has seen enormous physical innovation, like BIM models, digital fabrication, modular components, and factory-based labor. But these technologies rarely scale because the surrounding social technologies are absent or underdeveloped. The workflows are ad hoc. Contracts remain bespoke. Risk is diffuse. The logic of project delivery, deeply rooted in an Engineer-to-Order mindset, prevents the repeatability that physical technology requires in order to flourish. The problem is not only whether an innovation works, but whether the surrounding industry knows how to receive it.

Another useful way to describe this problem is as a delivery-stack lottery. In construction, methods often win not because they are inherently superior, but because they fit the incumbent delivery stack of contracts, codes, labor practices, software, review pathways, and interfaces. A promising method may be technically sound, economically disciplined, and better suited to future housing needs, yet still appear impractical when inserted into a system organized around bespoke coordination.⁶ In those moments, the industry is not really comparing methods on equal terms. It is comparing their fit with the surrounding stack.

This helps explain why offsite construction is so often misread. A pod, panel, or module is not judged as an object alone. It is judged together with the permitting path that reviews it, the trade scopes that connect it, the contract forms that assign its risk, the software that describes it, and the interfaces that allow it to join a larger building. When those surrounding systems remain tuned to Engineer-to-Order delivery, even disciplined and repeatable products can inherit the friction of the older model. The result is a false negative: the method appears weak when the deeper weakness lies in the environment around it.

To shift toward Configure-to-Order delivery, we cannot simply import better machines. We need better social software: interface standards, regulatory templates, information handoffs, and governance structures that reduce uncertainty and align independent actors. Only then can the physical tools of modular construction be deployed at scale. The alternative is the same old mistakes: watching construction confuse a technology’s ecosystem fit with intrinsic superiority.

Methods are rarely judged in isolation. They are judged inside a delivery environment. This is why the Center for Offsite Construction treats its work as institutional as well as technical. The Modular Interface Standard is a social technology. So are new file types, new legal agreements, and the knowledge-sharing practices we develop with public agencies and industry partners. We do not see the CfOC as a research center in the conventional sense, but as a place to test new institutional arrangements. Ones that make physical technologies more usable, more repeatable, and more scalable.

1. PDF link to the essay, here. ↩︎
2. “Enframing means the gathering together of that setting-upon that sets upon man, i.e., challenges him forth, to reveal the real, in the mode of ordering, as standing-reserve. Enframing means that way of revealing that holds sway in the essence of modern technology and that it is itself not technological.” as quoted, here. ↩︎
3. Richard R. Nelson, “Physical and Social Technologies, and Their Evolution” (2003) ↩︎
4. W. Brian Arthur “Science in a Complex World: A small group of Santa Fe researchers changed economic thinking” Santa Fe New Mexican (2014). ↩︎
5. For more information, see Eric D. Beinhocker, The Origin of Wealth (2006), Chapters 11 and 12. ↩︎
6. Adapted from “The Hardware Lottery” by Sara Hooker — August, 2020 ↩︎