Blanchard Survey Points to the Cultural Impact of AI

Artificial intelligence is no longer a future workplace trend. It’s already here.

In our recent survey of 300 leaders and 300 individual contributors , it is clear AI is already embedded in everyday work. Most employees report using AI regularly, with more than half of leaders using it more than once a day. Employees are using AI to summarize information, draft content, research topics, brainstorm ideas, and accelerate routine work.

Yet beneath the rapid adoption lies a more complicated reality: organizations are moving quickly to embrace AI, but many are paying far less attention to how AI is changing the human experience of work.

The biggest challenges organizations face with AI aren’t purely technical. They’re cultural. They’re about perceived trust, leader credibility, and organizational norms. And the more powerful the technology becomes, the more important uniquely human skills—like judgment—will be.

Our research revealed five insights leaders should pay attention to.

Insight #1: AI Adoption Is Outpacing the Development of Shared Expectations

AI is already embedded in the workplace, and employees are seeing real benefits. Seventy-eight percent say AI helps them work more efficiently, and nearly half of AI users report saving 26% or more of their time on the tasks where they use it. But efficiency doesn’t automatically create confidence.

Employees are becoming comfortable using AI for information processing, content creation, and routine work. They’re far less likely to rely on it for strategic thinking, difficult conversations, presentations, or decisions that require context and judgment.

The pattern is telling. People are comfortable delegating tasks to AI. They’re much less comfortable delegating critical thinking.

That hesitation may be warranted. One in four respondents reported seeing or experiencing negative consequences from AI at work, including the incorrect use of outputs, overreliance on AI-generated content, and the exposure of sensitive information.

As AI reshapes the way work gets done, employees and leaders are feeling both optimism and caution. AI’s impact on work will come not just from what it can automate, but from how it frees people to spend more time on work that requires judgment, creativity, collaboration, and human connection.

To scale AI successfully and realize its full potential, leaders will need to move beyond simply providing access to tools. They’ll need to focus on building trust, skills, and confidence in AI across the organization. Just as importantly, they’ll need to help their teams make the most of the time AI creates, so people can focus on the work where they add the greatest value.

Above all, our research points to the need to create shared expectations around AI use as adoption rapidly continues. Leaders play a pivotal role in shaping those expectations.

Insight #2: Emerging Social Stigmas Exist Around AI

One of the most surprising findings wasn’t about the technology at all—it was about workplace culture.

Despite widespread adoption, many employees describe an environment where AI use remains cloaked in mystery. Some people openly embrace it. Others quietly judge it. Some conceal their use, while others question whether colleagues are relying on it too heavily.

Although many organizations have begun establishing formal expectations around responsible AI use, those expectations are not yet consistently shared workplace norms. Employees continue to navigate uncertainty about how AI should be used, discussed, disclosed, and evaluated in day-to-day work. In fact, 65% of respondents reported observing people subtly judge or dismiss others for using AI.

The result is what we call an AI shadow culture: a workplace where AI is everywhere, but shared expectations about its use have yet to emerge. Formal guidance may exist, but employees are still figuring out what responsible AI use looks like in everyday work.

Insight #3: Trust in AI Depends on the Context

Trust emerged as one of the most important themes in the research.

Twenty-eight percent of respondents identified “feeling I can trust AI use” as their biggest challenge―the most frequently selected challenge in the study.

Interestingly, employees generally trust their leaders and organizations. What they don’t fully trust is the broader AI ecosystem.

They’re evaluating three things simultaneously:

• Can I trust the technology?
• Can I trust the rules governing its use?
• Can I trust the people using it?

What’s notable is that employees aren’t unfailingly accepting AI output. Eighty-two percent say they always or often review AI-generated content before using it, and 69% say they edit, verify, or adapt it before relying on it. Employees may be embracing AI, but they are also actively exercising judgment.

As AI becomes more embedded in daily work, trust is no longer a simple question of whether the technology works. It’s a question of whether people believe that the systems, safeguards, and shared expectations surrounding AI are reliable and responsible.

Ultimately, trust in AI is not just about confidence in the technology. It is also about trusting the processes that govern it, the people who use it, and the leaders who role model and give voice to responsible use. When any one of those elements feels uncertain, trust begins to erode.

Insight #4: A Leadership Credibility Gap Exists

Leaders and employees agree that AI will reshape work. Where they disagree is in their perception of whether leaders are visibly helping people navigate that change.

Many leaders believe they are actively modeling AI use and providing clear guidance. Employees are far less likely to see it that way.

The gap is significant: 87% of leaders say they visibly model AI use, but only 54% of employees agree. Similarly, 83% of leaders believe employees have a voice in AI-related decisions, while only 51% of employees share that view. This creates a credibility challenge.

Employees don’t simply want leaders to encourage AI adoption. They want leaders to demonstrate how they are using AI, how they evaluate its outputs, and how they apply judgment when technology and human experience don’t align.

In the age of AI, leadership credibility comes less from promoting technology and more from visibly navigating it.

Insight #5: Human Judgment Is the New Premium Skill

Perhaps the most important finding is that AI is not diminishing the value of human contribution; it is changing where that value comes from.

When asked where they continue to add the most value, employees consistently pointed to creative thinking, solving complex problems, applying judgment, making ethical decisions, and building relationships.

At the same time, 64% of individual contributors believe AI will change what strong performance looks like within the next 12 months.

That’s because AI is creating a profound shift in how work gets done.

For decades, success was often measured by our ability to solve problems and produce answers. Increasingly, AI can generate those answers. The emerging premium skill is the ability to evaluate AI-generated answers and then—harnessing the power of lived experience—elevate them, determining what is accurate, ethical, useful, relevant, and appropriate.

AI can generate information in seconds. People contribute context, wisdom, accountability, and judgment. The future of work is not human versus AI. It’s human judgment elevating AI output. In other words:

AI generates answers. Humans elevate those answers in ways that AI cannot reliably infer.

For many employees, AI is changing more than how work gets done—it is changing how they think about their own expertise, value, and contribution. As AI takes on work once considered uniquely human, the question becomes not simply “What can AI do?” but “Where do people create the greatest value?”

The Real AI Challenge Is Cultural

Our research points to a larger conclusion: the future of AI at work will be determined less by the technology itself and more by the cultural norms that organizations build around it.

Employees are looking for trust in the larger combination of technology, processes, and people that support AI. They want clear expectations. They want leaders who model responsible use. And they want reassurance that the uniquely human skills they bring—judgment, creativity, empathy, coaching, and connection—still matter.

The organizations that thrive won’t simply deploy better AI tools. They’ll create environments where people know how to use those tools while contributing the human capabilities that technology cannot replace. Because as AI becomes more powerful, the human side of work becomes more valuable, not less.

Would you like to learn more about developing leadership strategies to fully leverage AI in your organization? Join us for a free webinar!

Beyond the Prompt: What AI Is Really Changing About Work and Leadership

July 22, 2026

AI has moved from experiment to everyday reality. Employees and leaders are using it regularly, saving time, accelerating work, and expecting it to transform how work gets done. Yet a surprising paradox remains: AI adoption is rising, but trust is struggling to keep pace.

Join Blanchard for a provocative look at the human side of AI. Drawing on new research from managers and individual contributors, we’ll explore why many organizations have AI adoption without AI acceptance, why trust has become a system challenge, and why the most valuable skill in the age of AI may not be technical expertise—it may be human judgment. As AI becomes better at generating answers, people are increasingly being asked to evaluate them.

Participants Will Explore:

• The AI Trust Paradox: Why AI use continues to rise even as trust remains a top challenge.
• The Hidden Social Dynamics of AI: How stigma, credibility gaps, and unclear norms may be slowing adoption more than the technology itself.
• The New Premium Skill: Why organizations are shifting from rewarding people who can find answers to valuing those who can evaluate them.
• What Leaders Must Do Next: How visible modeling, sound judgment, and human connection are becoming key differentiators in AI-enabled workplaces.

Gain practical insights for navigating the human challenges of AI and preparing your organization for the future of work.

Register today!

ⁱ In June 2026, Blanchard surveyed 620 employed adults—310 people leaders and 310 individual contributors—across a variety of industries and organizational settings. The survey examined how AI is shaping work, leadership, workplace culture, trust, and the human experience of work.