Companies have spent the past few years racing to figure out artificial intelligence. They have invested in new platforms, trained employees, rewritten workflows, and asked teams to move faster. And yet, amid growing scrutiny over whether enterprise AI investments are actually producing meaningful returns, the conversation still tends to circle back to the technology:
Do companies have the right tools? Are employees using them correctly? Does the organization need more training, better governance, or a sharper AI strategy?
Carol Grojean, PhD, believes those questions miss something more fundamental. Before leaders ask whether their people know how to use AI, they may need to ask whether the organization has created the conditions for people to work well together.
“AI is an amplifier, and it scales incoherence exactly as fast as it scales output. The organizations winning with AI are not the ones with the best tools. They are the ones coherent enough to use them,” Grojean says.
It is a simple idea with uncomfortable implications. A powerful tool placed inside a fragmented organization does not suddenly make that organization less fragmented. It may simply give people more ways to move quickly in different directions.
The Problem Beneath the Technology
Much of the discussion around AI adoption has been framed as a skills gap, where you must teach people how to prompt, train teams on new systems, identify use cases, and build governance around the technology. Those things do matter, but Grojean argues they sit on top of something far less visible: the quality of the human system using the technology in the first place.
Trust and judgment matter. So does whether leaders agree on what they are trying to accomplish, whether people can make decisions together, and whether a team remains connected when pressure rises. None of those problems disappear because an organization introduces better software.
Grojean’s view of leadership in the age of AI was shaped long before the current wave of generative AI adoption. She spent two decades at Microsoft, leading multibillion-dollar transformation programs. In 2018, Microsoft invited her back as its first cultural engineer, embedded in Cloud and Quantum computing. She returned believing she could bring what she had learned about people and systems into one of the world’s most sophisticated technology organizations.
Instead, the experience sharpened the problem. The organization moved with extraordinary speed. Its tools and strategies were advanced. But beneath that execution, Grojean saw leaders moving too quickly and people beginning to fragment under the pace. Technology was not the weak point; internal conditions were, and that distinction now sits at the center of her work.
What Happens When Intelligence Gets Cheap?
Grojean’s core question is not whether AI will become more capable, but instead what leadership looks like when intelligence itself becomes abundant, and answers become cheap.
For decades, organizations have rewarded people for knowing more, processing more information, and producing answers quickly, but AI changes that equation. If information and analysis become easier to access, the harder-to-replicate advantage shifts elsewhere: toward judgment, trust, alignment, and the ability to stay coherent while making increasingly consequential decisions at speed. Those qualities are harder to install than software.
They are also harder to see. From 2023 to 2025, Grojean served as a partner at FutureLab Consulting, where she advised governments and global enterprises on AI readiness and national workforce strategy. She also contributed to Thailand’s Ministry of Industry AI strategy development. That work reinforced a gap she had already observed. Organizations are accustomed to measuring technology readiness and workforce capability. They are less accustomed to asking whether the leadership team itself is functioning coherently enough to carry the transformation.
Measuring What Leaders Usually Guess At
Grojean’s work with the Coherence Method addresses that problem. Her approach pairs the Leadership Coherence Index, which examines how leaders perceive their own coherence, with Syneurgy, an AI-powered social neurotechnology platform that measures physiological and behavioral signals of team synchrony beyond what engagement surveys capture. The goal is to make aspects of leadership and team interaction more observable, giving leaders additional evidence to consider alongside their judgment and lived experience.
Leaders often know when a team feels aligned as well as when something feels off. But those judgments tend to remain subjective until the consequences show up elsewhere: stalled decisions, friction, miscommunication, or initiatives that never quite gain traction. Grojean argues that team coherence should be treated less like an intangible cultural bonus and more like an operating condition, especially now. The faster technology lets an organization move, the more costly misalignment can become.
Grojean takes that question beyond the workplace in her essay “Building a Regenerative Civilization” and in a planned inquiry beginning in Bhutan. She is exploring how human connection, the living systems that sustain communities, and the institutions governing ownership and value shape one another. Bhutan’s commitment to wellbeing and environmental stewardship offers a place to examine those relationships with people whose lives are affected by them.
At this larger scale, she asks who gains the ability to act, who bears the costs, and whether today’s changes leave communities and ecosystems able to flourish in the future.
The Question Companies May Be Asking Too Late
That wider inquiry leads back to the companies adopting AI now. They are asking what the technology can do, where it can create efficiency, and which workflows it can transform. Grojean asks what kind of organization is receiving it: whether people can exercise judgment together, remain connected under pressure, and correct course when faster decisions take them in the wrong direction.
AI cannot manufacture trust or alignment where they are already missing. More information may help a team move faster, but it does not automatically help people make better decisions together. In an organization already pulling in different directions, that added speed can just as easily deepen the divide.
That is why Grojean’s argument reaches beyond AI adoption. The most sophisticated technology still enters a human organization, and its value depends on the quality of the decisions around it, the relationships carrying those decisions, and people’s ability to question assumptions and correct course together.
Her regenerative civilization inquiry extends that concern to a larger scale. As technology expands what organizations and societies can do, she asks whether their decisions strengthen the human relationships and living systems on which lasting wellbeing depends. Who gains the ability to act? Who benefits from the value created? And do the choices being made today leave communities and ecosystems better able to flourish across generations?
For companies adopting AI, those questions begin with the conditions inside their own organizations. Greater speed and capability bring greater responsibility for what gets amplified. Grojean’s work helps leaders cultivate the clarity, connection, and collective judgment to put that capacity to meaningful use.
