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By Workplace Strategist ·
The question in the headline sounds philosophical. The decision behind it is not. If AI genuinely shifts how people spend their working hours, then the assumptions behind your current workplace strategy may already be out of date. This article explains what new Gensler evidence actually shows about AI and human work, and what it means for the next choice you make about your office, your programme, and your team’s capability.
The short version: the evidence points away from "AI empties the office" and towards "AI raises the value of what only the office does well." That is a very different brief for a workplace strategist.
What the source actually shows
Building on its Global Workplace Survey 2026, Gensler examined how people who use AI most heavily — the power users — spend their time compared with everyone else. The finding worth sitting with is this: AI power users report spending *less* time working alone and *more* time on learning, relationships, and collaboration.
That is the whole argument in one sentence. As routine, solitary tasks get absorbed by AI, the hours don’t vanish. They move. They move towards the human work that AI cannot do for you — thinking together, coaching, building trust, and learning.
It is important not to overclaim here. This is survey-based evidence about how a segment of workers describe their time, not a controlled study proving cause and effect. But the direction is consistent and it aligns with a pattern many teams are already sensing on the ground.
Why this matters now, not later
Most workplace strategies still carry a quiet assumption from the last decade: that the office is where individual focus work happens, and that flexibility is mainly about giving people somewhere to concentrate. AI attacks that assumption from underneath.
If the solitary, task-based portion of work is precisely the part AI compresses, then designing your workplace primarily around individual desks and focus zones is optimising for the shrinking half of the job. The growing half — learning, connection, collaboration — is exactly what people struggle to do well alone at home.
In practice, this means the case for the office is quietly changing shape. It is becoming less a case about *space to work* and more a case about *conditions for capability and connection*.
What organisations still get wrong
Three mistakes are common, and the Gensler signal exposes all three.
The first is treating AI as an efficiency story only. Leaders ask "how many hours will AI save?" and stop there. The more strategic question is "where do those hours go, and is our workplace set up to make that redirected time valuable?"
The second is defending the office with attendance logic. Mandating days in the building without changing what those days are *for* produces resentment, not capability. If people come in to sit on video calls and do solitary tasks they could do anywhere, the AI shift makes that experience feel even more pointless.
The third is separating "AI strategy" from "workplace strategy" into different rooms with different owners. They are now the same conversation. How AI changes the composition of work directly changes what the workplace has to support.
What a stronger workplace team does differently
Better teams stop asking whether people should be in the office and start asking what the office is uniquely good at once AI has absorbed the routine layer.
They map work by its human intensity, not just its location. Where does learning actually happen? Where does trust get built? Where does collaboration produce something no individual could have reached alone? Those activities become the design brief.
They treat the office as infrastructure for capability building rather than a container for tasks. That reframes everything from space allocation to how you measure success — you stop counting desks used and start looking at whether people are learning faster and collaborating better.
This is the shift from a real-estate lens to a strategy lens, and it is where a structured workplace strategy framework earns its place. Without one, teams tend to react to AI in fragments — a policy here, a fit-out there — rather than redesigning the workplace around what work is becoming.
The learning dimension people underrate
Of the three activities that rose for AI power users — learning, relationships, collaboration — learning is the one most workplace strategies are least equipped to support.
Here is the tension. AI is changing job content faster than most organisations can retrain for. The half of work that grows is the half that depends on people getting better, quickly, together. Yet very few workplaces are consciously designed to accelerate learning — informal mentoring, watching a colleague solve a problem, the fast feedback loop of being in the same room.
If AI raises the premium on learning, then a workplace that supports learning becomes a competitive asset, not a cost line. That is a claim worth testing in your own organisation before your next space or programme decision.
What a better decision base looks like
Before committing to your next workplace move, a stronger evidence base answers four questions rather than one.
Not just "how much space do we need?" but: what proportion of our work is genuinely solitary today, and where is that heading as AI adoption spreads? Which of our critical capabilities depend on people learning from each other? Where does our current workplace help that, and where does it get in the way? And what would we actually measure to know whether the workplace is building capability, not just hosting attendance?
Answering those questions turns a vague "AI will change everything" into a concrete, defensible brief. That is the real work of translating a research signal into strategy.
The honest limits of the signal
It would be easy to read this evidence as proof that everyone should rush back to the office. That is not what it shows, and reading it that way repeats the attendance mistake in a new costume.
The signal is more precise and more useful than that. It suggests that *when* people do human work — learning, connecting, collaborating — the office has a distinctive role, and that AI is increasing the share of work that fits that description. The strategic response is not more mandated days. It is a workplace deliberately designed for the work that is growing.
The bottom line for workplace strategists
Will AI make the workplace more human? The evidence suggests it can — but not automatically. It shifts *where the human work sits* and raises its value. Whether your workplace actually captures that value depends on a decision, not a trend.
The organisations that win will be the ones that stop defending the old model and start redesigning the workplace around learning, connection, and collaboration — the work AI hands back to people. The signal is on the table. The strategy is a choice.
Source: Gensler Research Institute, "Will AI Make the Workplace More Human?", 29 April 2026.
Next step
Turn this signal into a workplace strategy you can defend
If AI is changing what work is, your workplace strategy needs a framework that keeps pace. Explore our learning paths and frameworks to translate signals like this into repeatable strategy practice, or get in touch with Workplace Strategist to work through what the AI shift means for your own workplace decisions and your team’s capability.
FAQ
What does the Gensler evidence actually claim about AI and the workplace?
It draws on the Global Workplace Survey 2026 to show that heavy AI users — power users — report spending less time working alone and more time on learning, relationships, and collaboration. It is survey-based evidence about how work is composed, not proof that AI causes better outcomes, but the direction is consistent and strategically relevant.
Does this mean everyone should return to the office?
No. The signal is about *what kind of work is growing*, not about attendance. Mandating more days without redesigning what those days are for repeats the old mistake. The useful response is to design the workplace around the human work — learning, connection, collaboration — that AI is increasing.
Why should AI strategy and workplace strategy be handled together?
Because AI changes the composition of work, and the composition of work determines what the workplace has to support. When AI absorbs routine solitary tasks, the office’s value shifts towards enabling capability and connection — which is a workplace strategy decision, not a separate IT question.
How can a team start applying this insight?
Map your work by its human intensity rather than only its location, identify which critical capabilities depend on people learning together, and decide what you would measure to know the workplace is building capability rather than just hosting attendance. A structured framework turns that into a defensible brief for your next decision.
