Anthropic just published the largest qualitative AI study ever conducted — 81,000 people across 159 countries. The theme most people will miss: what people want from AI isn’t to work faster, it’s to live better. More time with family, less mental clutter, room to do meaningful work instead of busy work. And yet most organizations are deploying AI in exactly the opposite direction.

This research is timely, following headlines such as “90% of companies say they have invested in AI training for their employees, yet less than 40% report meaningful impact,” from Business Insider. PWC invested $1 billion in AI training. That’s $1 billion invested to upskill their employees. 95% of these employees signed up voluntarily, and yet AI usage barely moved.

Some believe this lack of adoption is a tool problem, some believe it’s a training problem, others a data security problem. It isn’t.

The problem is AI anxiety.

It’s the fear of losing a job. Fear of eliminating someone else’s job. Fear of losing influence, losing scope, losing sight of one’s purpose. The list goes on, and it’s running through every layer of organizations simultaneously.

What’s worse is that right now, a lot of fear is being driven back into the enterprise from the top. The AI transformation opportunities are clear, and those who can harness them stand to grow the fastest. However, organizations that rely on leveraging fear narratives of being “behind” may create short-term movement, but they rarely build sustainable innovation or trust.

I once had a leader who described anxiety as having the same impact as being intoxicated: it can drive bad decisions, reduce collaboration, and slow you down.

The strongest teams are built when leadership invests in people, empowers teams with meaningful problems to solve, and creates a culture where learning, experimentation, and even failure are part of progress.

You can’t mandate meaning. People choose their professions because of what the work means to them, and AI transformation that ignores that will always hit a wall.

The Anthropic research points out that the top adopters of AI want AI to help, but they’re also more likely to be worried about things like unreliability, job displacement, and losing their own thinking skills.

This data is actually the exact opposite of what you might think: it’s not optimists versus pessimists, it’s the same person hoping and fearing at the same time. Anthropic’s conclusion was that AI poses both opportunities and risks. As someone trying to adopt this technology as quickly as possible, I agree.

Ask a writer, a designer, an engineer, or anyone who chose their career because they love the work, to just “adopt AI,” and you’re not asking them to change a tool. You’re asking them to accept that the thing they chose to do with their life matters less now. You’re saying what they went to school to do is less valued. This research supports the belief that mandates are ineffective at driving adoption or impact.

So how does one harness the value of AI?

Purpose reduces anxiety. AI transformation can be unlocked when the purpose is clear. Organizations with a strong, clearly articulated sense of purpose can absorb AI without an identity crisis.

What people want from AI isn’t to work faster, it’s to live better.

Unlock this, and adoption will follow. The best leaders are the ones who acknowledge that AI brings both excitement AND fear.