Jon Husband on wirearchy, web weaving, the relational economy, and drift diving (AC Ep41)
“What I’m really interested in and fascinated about is that, as AI penetrates and spreads throughout the workplace and gets placed into or integrated into workflows, the first thing that happens is that people in the mix are going to have to learn how to use AI and learn why to use AI when they do.”
–Jon Husband
About Jon Husband
Jon Husband is the Founder and Principal of Wirearchy, a creative research and experimentation laboratory exploring the crossroads of AI and networked workplaces and society. He works as a coach, consultant, speaker and writer, and has co-authored three books, including Wirearchy.
Website:
wirearchy.com
LinkedIn Profile:
Jon Husband
What you will learn
The origins and evolution of wirearchy as a response to traditional organizational hierarchies
How AI integration is reshaping knowledge work, workflows, and tacit knowledge within organizations
The persistence of Taylorist job evaluation and why traditional work design remains resistant to change
The rise of the relational economy and the increasing value of human judgment, trust, and relationships beyond financial exchange
New approaches and tools for surfacing and mapping intangible or non-financial value exchanges in organizations
The concept of emergence and the need to foster conditions for positive outcomes in complex adaptive systems
Challenges and opportunities as organizations shift from rigid, control-based management to adaptive, networked, feedback-driven models
Why coaching, facilitation, and skills like listening and allowing for emergence will be critical in navigating AI-augmented workplaces
Episode Resources
Transcript
Ross Dawson: Jon, it is wonderful to have you on the show.
Jon: Thank you very much, Ross, it’s good to see you again.
Ross Dawson: We’ve known of each other and each other’s work for a very, very long time now from, I suppose, the roots of—yeah, I suppose you can crudely say—the intersection of knowledge and networks. So, as I think many of us who have come from that background, we now are thinking about humans and their relative role to AI.
Some people will know of your wirearchy and a lot of your work of the past; others will not. So I’d love to just start off with: what is the concept of wirearchy? And then, how is that morphing or evolving, or are you building on that in how you’re thinking now? We’ll dig in and explore that.
Jon: Okay, well, I started paying attention to knowledge work and work in organizations and so on as I changed careers in my early 30s, moving from banking, where I was in management, into management consulting. I ended up working for a large global HR consulting firm that, amongst several others—all the major consulting firms that address organizational issues—have services where they do what’s called job evaluation.
What job evaluation does is put a size or a measure or a weight to a job, which then basically places it on the organization chart. I spent quite a few years writing thousands of job descriptions and helping streamline workflows and so on and so forth.
So, when the internet came along, I had always been an avid reader, and I suppose a wannabe futurist—a wannabe Ross Dawson, if you will. I was reading all sorts of books back then. Instead of dating, because I was single in my mid-30s, I was spending Friday nights reading books about organizations, like “The Living Company” by Arie de Geus, the Tofflers’ work, “Powershift,” certainly Peter Drucker’s work.
There was one day—well, I was reading all of these books, and all of the books were about the coming Information Age. The Information Age had not arrived yet; this was roughly late ’80s, early ’90s. All of a sudden, we hit 1994. I’m sitting in London, and I was just told by my team leader in my consulting firm that I was going to be proposed as one of the next global partners.
Three weeks later, I quit my job in the consulting firm because I had begun to feel very uneasy about the work I was doing. If I was made a partner, your job becomes basically selling larger projects to keep the younger consultants employed. I realized that I would be selling methods that I had come to not believe in anymore, and the reason for that is that all of the job evaluation methods sold by all the major consulting companies are all versions of generic Taylorism.
They have semantic statements that you pick to figure out a level of a job on a number of different factors. This is one of the things I’ve talked and written quite a bit about in wirearchy: this generic Taylorism is still deeply at the core of most of the work of most organizations. It’s how the work is designed.
There has been now, what, 15 or 20 years—how far back does Enterprise 2.0 go?—about collaboration and cooperation and better knowledge management and sharing and transfer of knowledge, and so on and so forth. If you know these semantic statements, which are burned into my brain from this method—the Hay method—you realize that no amount of talking about doing things differently is going to make much difference.
It’s not going to change much. And the remuneration—the way people get paid—every single person in every single company, is tied to all of that. It’s tied to your job size, it’s tied to the compensation practice, it’s tied to your performance management, it’s tied to your career plans, if an organization is still doing career planning. Frankly, it has not been touched in 75 years now.
Ross Dawson: Used to describe it as a job as a box.
Jon: Well, sure, and that’s where that term “think outside the box” comes from. I wrote an article about this at one point in time—oh, I can’t remember the title, so it doesn’t matter—but about the semantic statements essentially becoming semantic straightjackets, because they put limits around what you do.
They’re a graded level of permissions, basically, or amounts of influence and authority, and that’s the codified, official organizational chart.
So anyway, I was working with this all the time, and I realized if I was going to be made a big-time partner, I’d have to be selling these tools all the time. The internet had come along, so I quit, and I didn’t know what to do after that. I had to move from the UK because I was on a work permit, had to go back to Canada.
When I went back to Canada, all the companies I tried to approach to work as an independent consultant didn’t want to engage me, because all of the work I’d been doing in the UK was with really large multinationals, and according to them, too sophisticated for what they were doing in Vancouver.
But at the same time, I was still reading all the time—reading Charles Handy’s work, reading Gerard Fairtlough’s work on heterarchy, and so on. I came to believe very strongly that the ongoing sharing of information—which we were starting even 20 years ago to build into constant, incessant flows of information carried via hyperlinks—was going to inevitably begin to affect, I’m going to use the word affect, the traditional top-down power of hierarchy. That comes from the “knowledge is power” by Francis Bacon kind of perspective.
Now, that was 25 years ago. What we’ve seen since is, of course, what you know—one umbrella term I could apply to much of what’s going on outside of organizations is the “enshittification” of the web. The same thing applies in a lot of ways, I think, to people doing work, sitting behind screens in organizations.
Now, a whole host of things have happened in the past 10 or 15 years: there were armies of developers sitting in office spaces, all of them with their headphones on behind screens coding. There were all sorts of people beginning to understand how to use the internet. There were many failed attempts at effective knowledge management because of the idea that it’s still just good search, find documents, retrieval, without really paying any attention to the connections between people and how they work together, and so on.
Ross Dawson: So, the frame there is, I mean, obviously, moving—the wirearchy being an arche of the organization being essentially a network. Obviously, there’s more richness to that as you describe the organization as a network, as opposed to the rigid structures, which are still very much rampant. But fast-forwarding to today, what we’ve overlaid is, whilst the old rigid structure is in place, organizations are effectively a lot more loosened up by Enterprise 2.0 and other types of frames, and essentially more peer communication.
Now AI is changing a fundamental role, now being, in many ways, a participant in those workflows, in the creation of value. So where does that take us today, in this humans-plus—essentially wirearchy—pulled into where AI plays a role within those networks?
Jon: Well, it’s a fascinating question for which I don’t have an answer. I have some responses, I suppose. The notion of wirearchy came, as you pointed out, out of everybody being wired, everybody being networked—the organization as a network.
What I’m really interested in and fascinated about is that, as AI penetrates and spreads throughout the workplace and gets placed into or integrated into workflows, the first thing that happens is that people in the mix are going to have to learn how to use AI and learn why to use AI when they do. Often, it’s very soft at the beginning because it’s reminders, or “did you want to do that,” or “do you want to say that,” and so on. Increasingly, the AI, I think, will have more and more coaching built into it. But what I’m interested in is how, as we learn from the mistakes that are made in integration, and also learn from the successes that are made from integration, is that going to decompose a knowledge worker’s work and eventually capture most of their tacit knowledge and ways of working to reduce the cost of doing that kind of work?
Then, on a larger scale, what is the active decomposition of types of work through the influence and integration of AI? How is that going to change the fundamental assumptions about work design? My belief is that the work of Dave Snowden and others with respect to complex adaptive systems is what is going to become—and this is a poorly connected parallel or analogy—but I think something like the Cynefin framework, or a unified approach to complex adaptive systems, will become the Taylorism of the 21st century.
In other words, there will come to be forms of patterns and models and actions that help you address certain kinds of conditions, because I think, especially with AI, work and outputs are going to become continuous flows. They are the push and the pull, or the dynamic flow of power and authority that is alluded to in the working definition of wirearchy, the working definition of wirearchy includes knowledge, trust, credibility, and a focus on results, each of which you could write a book about. But as general headings, they are what capture what’s in play, I believe.
Ross Dawson: Yeah, no, I think absolutely still relevant today. Now, the point I was going to make was around, in complex adaptive systems, a really central concept is emergence—
Jon: Yes.
Ross Dawson: —where you are not planning or overlaying or dictating a structure; the structure and the value and how that’s created emerges. And to your point, a lot of the key aspect in that world is, how do you create the conditions for emergence of positive outcomes, as opposed to less positive outcomes?
And that’s still, of course, arguably at least as much an art as a science, particularly when you’re looking at complex adaptive systems composed of not just many humans, but also AI, which are stochastic in nature.
Jon: Yes, well, it’s a very, very good point. I think it relates to the paper I shared with you a couple of days ago about what the author is calling “weaving the web.” There is an enormous amount of human input and activity, combined with the AI, that doesn’t get measured and is not seen in our currently technocratic, generic Taylorist worldview. That’s not seen, not captured, and it arguably is the kind of human input, work, and knowledge that is going to make this whole new era operate fairly well. That’s this notion of exchanges of value.
Once that code is cracked, in terms of how to understand it, surface it, see it, measure it, this is going to lead to more and more of what Nvidia’s Jensen Huang is doing with respect to tokenization. There are some people who say tokenization will become the replacement for money in some cases, or even many cases in another, let’s say, 10 years or so. It’s kind of hard to imagine, but if you come back to the paper that you and I first connected on—Alex Imas’s review of the structural changes to the economy—if you can see the logic of his argument, he says there’s going to be a lot more work, but it’s going to be relational economy work, which ties directly into value exchange and surfacing how that exchange of value operates, say, between two people at work, or a group and a person, or two groups, and so on.
This notion of value exchange is going to ground a lot of the conceptual and abstract issues that we talk about when we talk about, you know, why is making effective collaboration so hard? Why is it hard to de-silo an organization? All of those kinds of things are going to, I believe, eventually be washed away in this continuous flow of information. So we have to look for new concepts and new ways to measure what’s being created, the value that’s being created.
Ross Dawson: Well, that’s—I mean, this is really interesting. As long as you do not recall, in “Living Networks,” I was actually laying out a quite similar thesis around value creation and network structures, and I did quite a bit of work with Verna Allee on value networks. We ran some workshops together, and we’re essentially—a lot as laid out in the paper you described, and as you’re saying now—a lot of it is saying, how do you look at the non-financial or intangible exchanges of value, which sometimes are apparent and sometimes less apparent? There are all sorts of these structures where, as you say, there is an exchange of value. Sometimes it involves money, oftentimes it doesn’t. To understand the landscape, you do need to understand all of these non-financial structures.
But are you suggesting that in this tokenization or other structures, there is a way then of being able to, I suppose, capture some of these non-financial values, which does imply there needs to be some kind of measurement, or at least a mutual agreement or assessment on what that value is?
Jon: Yes, the paper that I sent you, and the tool that I’m interested in and think is important, is called VEMapper—Value Exchange Mapper—which has some sophisticated capabilities with respect to AI, mainly by calling the main AI engines into the conversation. There’s a process set out whereby, in a dialogue that’s captured both by recording and by typing, there’s a record of a conversation or a dialogue about value exchange.
I’ve carried out a few of them. I recommend trying it, because it’s quite remarkable. You really just tell your story, but it surfaces the tacit knowledge often that you’ve put to work in the creation and exchange of the value. The tool is also quite sophisticated today in terms of its databases and other components. Please forgive me, I’m not a technologist, but it creates a data commons. You, as a participant in a value exchange using this tool, your data, your output, is yours and yours alone. You own it. There’s a notion of data ownership and privacy, and as you carry out more and more of this value exchange, the way it’s captured—and again, I don’t really know about this, but I do know about the structure of the semantic web—it captures triplets: subject, predicate, object, which then makes them readable, makes them discoverable in knowledge graphs and other ways.
The tool also has a 3D knowledge graph. If you read that paper, it’s really following the logic, the reasoning, and the innovations that were introduced by Vint Cerf long ago in terms of how knowledge would work, whether there would be things like knowbots, which are agents, and so on. So it stores all of this, and then there’s a process whereby you enter into a dialogue. The AI coach helps you clarify, elaborate, and so on, and then you revisit this process. What this does is it builds and scaffolds trust between people and between groups or whomever is working on a problem.
Ross Dawson: Back to a broader frame here. So, what you’re describing—this tool or other tools—has been able to, as you state, capture or make visible value exchange in various guises, with the potential to shift to where we are looking and understanding far beyond the exchanges of financial or overt products and services, and so on. But we’re also relating it to Alex Imas’s thesis that we are moving into a relational economy, where the value—what is scarce—is not AI churning away on reasoning; what is scarce is human relation and judgment.
In a whole variety of exchange contexts, including in simple conversations or other knowledge exchange, they’ll be able to apply human expertise to people in situations and organizations. So perhaps, if we just marry those two, what do you see might happen if we move into both a relational economy with the potential to surface more of the nature of how value is exchanged?
Jon: Wow, that’s quite a question. I think it’s one of those things where there’s likely to be a very large and durable polarity emerge. I think that the polarity is that there will be some people—probably younger, I’m guessing under 45-ish—that will take to the new environment like ducks to water. They’re already living it in many ways. Their work is much more precarious. They operate in networks that are often networks of support and help, and so on.
I think the other end of the polarity is that there will be lots of people who are—I sent you another piece about a week ago called “Artificial Intelligence and Sleeping Humans,” which was about the fact that many of us are, whether we like it or not, not all that much awake when we’re walking around every day, particularly after we’ve been working for 10 or 15 or 20 years, and, you know, kids, busy life, and so on. As AI moves through the workplace, different industries, different natures of work, and brings up issues of relation and so on, I think that relational work will always be AI-aided and supported.
I think there’s a significant possibility of something emerging that currently I’m calling AI psychosis. I think that it will disturb a lot of people. They’ll try to build habits or create habits, and they’ll be trained for this with organizations with respect to using AI, but I think it will feel very foreign to them. I think there’s been something—you probably have talked about this before somewhere; I seem to remember reading something from you—but there’s been about 25, 30, 40 years of what I’d call atomization and augmentation in the social fabric. I don’t think that the introduction of AI on a widespread basis throughout work and everything is going to help with that atomization very much.
So I think that the longer-term, emergent impacts of AI—I don’t think they’re going to be about productivity and efficiency. They’re going to be up a level or two in terms of the discombobulation and ongoing anxiety that are created. That makes sense?
Ross Dawson: Yeah, yes, it does. I think most people can relate to what you’re saying. So, you were just saying before we started the podcast, you’ve, in a way, come back to your work. You’ve been reinvigorated by seeing some interesting shifts in the world. So, what are the next years for you? What do you think we should be thinking about? What should we be focusing on? What should we be creating to enable, as much as possible, all of this to go in a positive direction?
Jon: Again, a tough question. It’s so hard because these conditions are all swirling around us. But for me, 10 years—10 years, I’ll be in my early 80s. I don’t like to play golf. I like to swim, so I’ll probably still be swimming. I think we’ll see more and more evidence of the relational economy, with respect to wirearchy and my implication.
I’m going, in about a week, to Cambridge to start a creative residency there that involves a number of components. I’ll meet people with the Digital Futures Institute at the University of Bristol, some people at Cambridge. What I’m going to be doing with this creative residency is paying attention to and learning about improvisational facilitation. I think what’s going to happen, what I’m seeing happen everywhere, is shifts in what will be brought to work around the integration of AI.
I think the evolution of wirearchy, which implies a different kind of leadership and power, will mean there will just be more and more—how do I want to say it? What I’m noticing is that there’s an enormous amount of talk on LinkedIn and other places where people are wondering about similar things to what we’re talking about. They’re emphasizing the ability to listen, the ability to suspend judgment, the ability to allow the time and the space for emergence—a very, very different mindset than the predict, plan, execute, control, linear types of work.
This will be more circular. Many of the elements are already there. We’ve already seen in the last 10 years: develop fast, push versions out fast, fail faster—sort of recursive feedback loops. We’ll all be operating in recursive feedback loops, probably forever more.
Ross Dawson: That’s actually very central to my own beliefs.
Jon: Yeah, and we just—we have to get used to it. There’s an example I like. It’s not specifically apt for this, but I think you’d probably relate to it. Living in Bondi and in Australia, I presume you’ve gone scuba diving more than once in your life. There’s a kind of dive called a drift dive. Do you know what a drift dive is?
Ross Dawson: No.
Jon: Okay, I participated in one once, and it was really fascinating. At certain places, there are coral reefs where, I guess because of the topography, the current moves past it quite quickly—more quickly than you can swim against or manage yourself in. So if you go on a drift dive, the dive masters take you out, drop you in somewhere. They know how fast the water is moving, they know how much air you have, they know where you’re going to come up, so they meet you when you come up. But while you’re in the drift dive, what you do is essentially drift along the coral reef, watching the reef vertically because you can’t really swim.
I learned about that reading a book a long time ago called “The Horizontal Society” by a Yale Law professor. I can find the title and I’ll email it to you. He described that living in our media-saturated environment—and this was a long time ago—was like living in a drift dive. I think we’re all going to be living in a big drift dive for the next forever—well, certainly for the rest of my life. It’s really interesting to think about things in that way. It relates particularly poignantly to my quitting my job as a management consultant, where I learned all of the method with the generic Taylorism.
Because if you go back 20 years ago, the assumption—I know you’ve done a lot of strategic planning with companies and organizations—the assumption was that the next thing, the next time, and we get the strategy right, this thing is going to be stable. This is how it’s going to operate.
Ross Dawson: Yes, it’s a common fallacy.
Jon: Yeah, exactly. That wasn’t the case 20 years ago, and I started realizing it, and it’s much less the case today than it was 10 years ago. So, you know, I guess it’s like, get used to it.
Ross Dawson: Yeah. So where can people go to find out more about your work and what you’re doing, Jon?
Jon: At the moment, just LinkedIn. I’m going to put up a new site. I keep—another interesting, fascinating little story. I’ll do it quickly. I was over in England about a month ago, and there’s a guy, a friend of mine, whose claim to fame is, I think he built the first website in the UK in 1994. His name is Felix Velarde, and he’s run a number of agencies and is on the board of directors of a number of digital agencies now, as he’s gotten older.
When I visited him a couple days later, I said, “Okay, I want to build a new website. I want to develop a new website, and I have some ideas. But Felix, can you point me to—you know a lot of really talented people—to help me design my next website?” He said—we were on a Zoom like this—he said, “Hang on for a sec.” Started typing into Claude a pretty general statement of, “Give my friend Jon Husband—go scrape his website and blah, blah, blah, and give him an idea of what a good website would look like.” Enter. Wow. Wow, just wow.
I started playing with it, and I can do all sorts of interesting things. I can take the wirearchy graphic, I can embed that as a semi-opaque in the back. Anyway, just astonished. I don’t have it up yet, but I will have a new website called wirearchy.com in, I don’t know, about a month or so. I’ll try to put up a couple of my key pieces, but it’s mainly just going to be a landing page. I’ve decided that I don’t have any answers for anything, but I have, you know, 40 years of knowledge about watching organizations morph and change. So I’m going to really just offer half-day and one-day master classes. I respond to all sorts of different situations with different methods, done a lot of facilitation. I think facilitators and coaches are going to be very happy in this new era.
Coaching is really interesting. From what I’ve used—Claude, you know, a bit as a personal coach, haven’t tried the others—but I’m really impressed with what they’re going to be able to do, or already can do. Where coaching is going to become critical is at the higher levels, the top of the organization, because all of what we’ve been talking about—sensing, listening, allowing for emergence. The phrase I used to replace “command and control” was “champion and channel”: champion ideas, channel resources. See what happens. Does the node light up? Does the node wither? Does the node connect to other nodes, and so on. This is the world where I think we’re going to be living in, and coaches will be operating at the higher levels to help executives—who have typically been hard-charging and with mindsets they learned 20 or 30 or 40 years ago—helping them adapt, which will be critical.
Ross Dawson: Absolutely. There are many people who, for a long time, have been following and applying your insights, Jon, so I’m sure they’ll all be glad to get the update from this podcast and also when your website’s back up. Thank you so much, Jon.
Jon: Thank you, Ross.
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