In 1988, Harvard researcher Shoshana Zuboff studied what happened when computers entered factories and offices. She found that the same technology could either hollow an organization out or make it smarter, and that the technology didn't decide which. Leaders did.
Thirty-one years later, in The Age of Surveillance Capitalism, she described how that choice had largely been made. Digital technology's promise to spread knowledge and understanding had increasingly been redirected toward collecting data on people's behavior and using it to predict and influence what they do next. No one voted for that outcome. It emerged from countless decisions, each sensible on its own terms, each made to improve performance.
That is drift, at the scale of an entire economy. AI is about to test whether organizations can avoid repeating it inside their own walls.
Every wave looks like the one that matters
Today's AI debate focuses almost entirely on the technology. How capable is it? How fast should we adopt it? Will it replace people or augment them?
These are reasonable questions, but they treat AI as the variable that determines success. It isn't. AI is the current wave. There was one before it, and there will be one after it.
Businesses will continue to thrive, flourish or die with the incorporation of new technology, or the failure to incorporate it. That has always been true. But the technology itself has never been what separates the winners from the rest. What separates them is whether the technology is aligned with the organization's vision, strategy and culture.
A company that adopts AI in service of a clear vision, through a coherent strategy, in a culture ready to absorb it, gets stronger. A company that adopts the same tools because competitors are doing it, or because the efficiency numbers look compelling, can get weaker even as its dashboards improve. A company that holds back while its ecosystem moves on can fall behind without ever making a visible mistake.
The constant beneath the wave
In Natural Synergy, we describe every organization as balancing two essential capabilities.
Resilience is the capacity to absorb shocks and execute reliably. It lives in strong ties: durable relationships, proven processes, institutional memory.
Ingenuity is the capacity to sense change, learn and adapt. It lives in loose ties: the lighter, less frequent connections that bring new information and outside perspectives into the organization.
The balance between the two places every organization in one of four operating states. Synergistic organizations are high in both, stable and adaptive at once. Insular organizations are reliable but closed. Pluralistic organizations generate ideas but can't sustain or scale them. Tumultuous organizations have lost both.
What keeps the two in balance is alignment among vision, strategy and culture. When they reinforce one another, resilience and ingenuity strengthen together. When they pull apart, one capability grows at the expense of the other, or both weaken.
Every technology decision either reinforces that alignment or strains it. There is no neutral option.
Zuboff's warning, brought inside the organization
Zuboff's later work describes a pattern that AI now makes possible within any company. Knowledge work, which once happened largely in people's heads and conversations, increasingly happens through AI systems that record every prompt, draft and decision. That record is enormously valuable. It can be used to informate, helping the organization learn from itself. Or it can be used to extract: capturing employees' expertise in systems, monitoring their behavior, and treating their judgment as raw material rather than as a capability to develop.
The first path strengthens culture and widens the flow of ideas. The second erodes trust, and trust is what both strong and loose ties are built on.
There is a second, less visible form of the same pattern. As organizations route more of their work through external AI platforms, their knowledge, workflows and decisions flow outward as well. Over time, the providers of those platforms can become the dominant entity in a company's ecosystem, setting the terms on which it operates. Few executives would choose that dependence deliberately. Many are drifting into it.
How AI moves organizations between states
Automation for efficiency alone pushes toward Insular. When AI replaces the junior work through which people build judgment, and the informal exchanges through which new ideas arrive, the organization gets faster at what it already does and slower at noticing what it should do next.
Monitoring and extraction push toward Insular or worse. When AI makes the worker as visible as the work, caution and fear follow, and those moods shut down the loose ties that ingenuity depends on.
Unmanaged experimentation pushes toward Pluralistic. Pilots everywhere, agents multiplying without governance, a burst of creativity that never becomes durable capability. Many organizations now have more AI initiatives than they can absorb and more AI claims than they can back up.
Doing all of it at once risks Tumultuous. Each move can be defended on its own. Together, they can leave an organization with neither the stability to execute nor the capacity to adapt.
Aligned adoption moves toward Synergistic. AI used to widen the organization's view of its ecosystem, spread knowledge rather than concentrate or export it, and free people for judgment work, while protecting the relationships and institutional memory that hold the organization together.
How drift happens
No executive sets out to make their organization Insular or Tumultuous. Drift doesn't come from a single bad decision. It comes from many reasonable ones, each made to improve performance, none made with an eye on what they are collectively doing to the organization's vision, strategy and culture.
Drift happens when executives lose sight of that alignment. The tool gets evaluated on its own merits. The rollout gets measured on its own metrics. And the organization moves, quietly and steadily, toward an operating state no one chose.
Zuboff's two books, read together, document three decades of exactly that. The technology offered a choice. Most never realized they were making one.
The real risk
The risk of AI isn't that it's too powerful, or that it will be adopted too quickly or too slowly. The risk is that leaders will deploy it one reasonable decision at a time without seeing what those decisions are doing to the balance between resilience and ingenuity.
The leaders who stay on top of the AI wave won't be the ones with the most tools or the fastest rollout. They'll be the ones who keep asking a simple question of every technology decision: does this strengthen the alignment of our vision, strategy and culture, or strain it?
The wave will pass. The balance won't.