Part 2: Four Signals We Are Already in Stage Three

INTERNALITY · SYSTEMS THINKING · PART TWO

Four Signals We Are Already in Stage Three

The evidence has stopped being ambiguous. The question now is whether leaders will act before the moment chooses for them.

This is the second in a series. The first article introduced the Five Stages of System Change.

In the first article, I described a pattern that scholars of complex systems have observed across many domains: large systems do not transform suddenly. They move through recognizable stages: from stability, through visible stress, into a period of searching for alternatives, and eventually toward a new norm.

I said that I believed we were entering Stage Three: the search for alternatives.

I want to be more direct here. I don’t think we are approaching Stage Three. I think we are in it. And I think the signals that confirm this have been accumulating long enough that people who are paying attention - which includes most serious business leaders I know - already feel it, even if they haven’t named it.

What follows are four of those signals. I am not presenting them as a comprehensive analysis. I am presenting them as evidence for something most of us already sense: the ground has shifted, and the question is no longer whether the system will evolve, but whether we will participate in shaping how.

Signal One: Growth and Security Have Come Apart

The macro numbers look fine. The household experience does not.

By conventional measures, the American economy remains extraordinarily productive. Corporate profits have grown. Markets have recovered from every shock. Technological innovation, particularly in artificial intelligence, biotechnology, and advanced manufacturing, continues at a pace that would have seemed implausible twenty years ago.

And yet something has gone wrong with the translation.

A significant portion of American households report that they could not absorb a modest unexpected expense: a car repair, a medical bill, a gap between jobs, without going into debt or seeking help. Housing costs have risen sharply in many regions, pricing out working and middle-class families from the cities where the economy is most dynamic. Healthcare costs continue to outpace wages. The average worker has watched productivity grow for decades while their share of that growth has not kept pace.

This is not a failure of effort or character. It is a structural outcome. The system is producing extraordinary wealth and distributing it in ways that leave many people economically exposed.

When the gap between macroeconomic performance and lived economic experience becomes wide enough that people can no longer reconcile them, something changes in how they think about the system itself. That is what we are seeing. It is a classic Stage Three signal.

Signal Two: Trust in Institutions Has Structurally Declined

This is not a mood. It is a measurement.

Trust is one of the invisible load-bearing structures of any economic system. Markets rely on it. Contracts depend on it. The entire architecture of modern commerce, from financial instruments to employment relationships to consumer brands, assumes a baseline of institutional trust that most participants take for granted until it erodes.

It has been eroding for some time now.

Organizations that track public trust systematically like Gallup, the Edelman Trust Barometer, the General Social Survey, and others, have documented a broad and largely consistent decline across institutions over the past two decades. Confidence in large corporations, the federal government, the media, and financial institutions has fallen significantly from where it stood in the 1970s and 1980s.

The 2008 financial crisis was a turning point. It demonstrated, in very public terms, that some of the most sophisticated institutions in the world had taken risks with other people’s money that they did not fully understand, and that accountability did not follow failure at the scale it should have.

What the data tells us is not that people have become cynical. It is that expectations have outrun adaptation. People expect institutions to behave with the values they profess. When there is persistent distance between the two, trust adjusts.

A system running on diminished institutional trust is running with reduced capacity. That is not sustainable indefinitely. It is a pressure that eventually produces change - either through crisis or through conscious redesign.

Signal Three: The Definition of Business Success Is Being Renegotiated

This is coming from inside the business community, not from outside it.

I want to be careful here, because this signal is the one most likely to be misread.

The changing expectations around corporate purpose are not primarily a political story, though they have been covered as one. They are not driven chiefly by activists or regulators, though both have played a role. They are driven, at least in significant part, by a growing number of business leaders who have concluded on their own terms - through experience, through long-term thinking, through the evidence in their own organizations - that the narrow shareholder-first model produces outcomes they can no longer defend.

The emergence of B Corporations is one data point. The growth of employee ownership models is another. The Business Roundtable’s 2019 statement redefining corporate purpose, signed by nearly two hundred chief executives of major American companies, was not a public relations exercise. It was a signal that something was shifting in how serious leaders were thinking about their obligations.

None of this has resolved into a new consensus. The debates are real and the outcomes are still being contested. But that is exactly what Stage Three looks like. The search for alternatives is underway. It is happening inside the business community, in boardrooms and leadership teams, not just in academic papers or advocacy campaigns.

The question this signal raises is not whether the definition of success will broaden. It is who will shape what it broadens into.

Signal Four: Artificial Intelligence Is Compressing the Timeline

Every dynamic already in motion is about to move faster.

The first three signals have been building for years. The fourth is different in kind. An accelerant.

Artificial intelligence may become the most consequential economic technology since electrification. The productivity gains it enables are real and will be enormous. The wealth it generates will be extraordinary. I do not say any of this with alarm, but as context for what comes next.

AI does not create the tensions already present in the economic system. But it will amplify them at speed. Technologies that concentrate returns to capital and data tend to widen inequality. Automation that displaces cognitive labor will affect a much broader range of workers than previous waves of automation. The concentration of AI capability in a small number of very large firms raises legitimate questions about power, accountability, and market structure that neither regulators nor business leaders have resolved.

Here is what I think this means practically: the window between now and the point where AI-accelerated dynamics become very difficult to manage constructively is not decades long. It may be years long.

We do not have the luxury of a slow evolution. We need experiments running now, at scale, so that proof points exist before the pressure becomes acute.

This is not pessimism. It is urgency in the service of possibility. AI also creates tools for learning from experimentation at a scale that has never existed before. Patterns that once took decades to identify can now become visible much faster. Organizations can learn not only from their own experience but from the accumulated experience of peers running parallel experiments.

That possibility is only available to us if we begin.

What Stage Three Demands of Leaders

Taken together, these four signals describe a system under genuine stress. The kind of accumulated pressure that historically precedes transformation. The system has reached the point where its next evolution has become necessary.

Stage Three does not resolve itself. It either moves forward into Stage Four: experimentation, proof points, peer learning, the gradual emergence of a stronger norm, or it moves backward into crisis. There is no stable resting place in the middle.

What Stage Four requires is not a unified theory of what the new system should look like. It does not require consensus, or permission, or a policy framework. What it requires is leaders who are willing to treat their own organizations as laboratories and to try different models of ownership, workforce investment, community engagement, and long-term governance, and to share honestly what they find.

David McRaney, in How Minds Change, documents what the research consistently shows: people do not change their thinking because someone makes a better argument. They change because something creates just enough internal space to question what they already hold. In my experience, for business leaders, that space is most often opened by a trusted peer who says: I tried something different, and here is what actually happened.

That is what this moment calls for. Not advocacy. Not alarm. Peers sharing evidence with peers, at scale, with enough honesty and rigor to build a body of knowledge that can actually move the system.

The experiments that will define Stage Five are being run right now, by leaders who decided not to wait for certainty before beginning.

InterNality exists to catalyze and connect those experiments in order to make sure the learning travels as fast as the urgency requires.

If you recognize these signals, and if you are already doing this work or ready to begin, I would very much like to talk.