What Top-Performing Companies Get Right About AI Adoption

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AI is reshaping how companies think about growth, innovation, and the future of work. Almost every organization is talking about it — but not in the same way. That difference in perspective may be the biggest factor separating companies that excel from those that fall behind.

As AI accelerates and tough questions around ethics and responsibility take center stage, one thing is becoming clear: Mindset matters. The way leaders frame AI today could determine their success tomorrow.

AI as a mindset, not just a tool

One clear indicator of this mindset comes from how these companies — referred to as Work Innovators — talk about AI during earnings calls. Upwork researchers found that nearly 80% of their AI-related language was positive. Leaders described AI as a catalyst for growth, a driver of innovation, and a multiplier of productivity. As one example put it:

“These technology investments will enhance our platform and drive innovation with new AI and advanced automation tools.”

In contrast, companies outside this group often spoke about AI with hesitation. Their discussions leaned heavily on cost, risk, and implementation challenges, as captured in this statement:

“AI is helping teams accelerate production … but the AI race keeps continuing, the cost of training will be astronomical, and infrastructure often can’t keep up with the demand, resulting in delayed implementation and revenue recognition.”

This difference in perspective is more than being optimistic versus cautious. To Work Innovators, AI is more than a shiny new tool; it’s a strategic enabler. These companies get the most from AI because they see it as something that reshapes their value chain, speeds up decision-making, and helps them deliver more for customers.

Building a culture that supports AI

As vital as the right mindset is, it’s not enough by itself. The companies that lead with AI also create work conditions that allow new technology to thrive.

Work Innovators invest in cultures of experimentation, continuous learning, and digital dexterity. They know that simply dropping advanced technology into an outdated structure and rigid mindset will not deliver results. Instead, they build teams that are comfortable testing, learning, and adapting quickly.

These companies are also more likely to invest in upskilling employees and supporting change management. They break down rigid hierarchies that often slow technology adoption, replacing them with more flexible ways of working. For example, they form cross-functional teams to speed up projects, bring in freelance professionals with AI skills, and use short pilot programs instead of long planning cycles.

What cautious companies can learn from Work Innovators

While top-performing companies embrace AI with confidence, they also know when to pull back the reins. In 2025, even the most advanced organizations began mentioning AI less frequently in earnings calls. This was not a sign of lost interest; it was a sign of integration.

Leaders recognized that with more powerful models and rising concerns about data, security, and ethics, the right move was to pause, reflect, and focus on responsible adoption.

They offer an important lesson for companies hesitant about AI: Progress does not mean rushing forward at full speed. It means moving forward with confidence and clarity. Here are a few ways Work Innovators do that:

• Start with value, not tools. Instead of shopping for the latest AI platform, begin with a business problem. Ask where inefficiencies slow you down, then explore how AI can help solve them.
• Be mindful of your language. Words matter. Leaders who frame AI as a partner in growth inspire their teams to lean in. Leaders who frame it as a burden may create resistance.
• Don’t wait for perfection. High performers rarely wait for the perfect roadmap; they pilot, test, and adjust quickly. Some of the most effective entry points are simple, like using AI to summarize long reports, generate customer support scripts, and automate routine data entry.
  
  
• Solve the tough questions. As gen AI models advance, regulatory conversations are heating up. Ask harder questions like: What are the ethical implications of this technology? Is bias being built into AI models? Are teams ready to use these tools responsibly?

Leading AI adoption with confidence

High-performing companies see AI as a partner in progress, not just another technology to deploy. They foster cultures that encourage learning, empower teams to experiment, and bring in the right expertise — including freelance professionals — to accelerate adoption.

When challenges arise, these companies know when to pause long enough to ensure their approach to AI is responsible and sustainable. Pausing doesn’t slow progress; it helps ensure progress lasts.

If your company is still hesitating, consider this: What opportunities might open if you viewed AI as a growth lever instead of a risk?

The future of work will favor those who approach new tools with confidence, clarity, and intention. For more insights on how leaders are navigating this shift, listen to the full conversation on the Work Week podcast.