AI adoption continues to accelerate, but not everyone approaches AI the same way.
Some people experiment with every new tool they encounter. Others prioritize governance, trust and oversight. Some focus on business outcomes, while others are driven by curiosity and exploration.
These differences matter.
How you engage with AI influences how much you trust it, how effectively you use it and ultimately the value you get from it.
Research from the Data and AI Impact Report found that people are significantly more likely to trust AI systems that feel intuitive or human-like, even when they may not fully understand how those systems work. At the same time, concerns about privacy, transparency and ethical use remain widespread.
This creates an important challenge for organizations. Responsible AI adoption is not only about technology, governance or data. It's also about people.
Understanding your AI persona can provide insight into how you approach AI today and where you may have opportunities to grow.
Related: We trust GenAI – but should we?
The intentional builder
Some people approach AI through the lens of governance and accountability.
The intentional builder prioritizes trust, explainability and strong data foundations. They want to understand how systems work, how decisions are made and whether appropriate controls are in place.
This perspective is increasingly important as organizations scale AI initiatives. The Data and AI Impact Report found that many organizations continue to face governance challenges, with 44% of them citing data governance as a significant barrier to broader AI adoption.
While builders may sometimes move more cautiously than other users, they often help create the foundations that enable AI to scale responsibly.
The strategist
The strategist focuses less on the technology itself and more on outcomes.
They view AI as a tool for improving decisions, increasing efficiency and delivering measurable business value. Their adoption tends to be intentional rather than experimental.
Research consistently shows that organizations generating the greatest value from AI are often those that connect AI initiatives directly to business objectives.
Strategists help ensure AI investments remain aligned with organizational priorities.
The power user
The power user embraces speed.
They are often among the first to test new capabilities, adopt emerging tools and explore new workflows. Their curiosity helps organizations uncover opportunities that others may miss.
However, speed can introduce risk.
Even among organizations with high levels of AI adoption, concerns around privacy, transparency and governance remain common. Power users often play an important role in identifying what's possible, but they are most effective when paired with the guardrails that support responsible innovation.
The next-generation explorer
For the next-generation explorer, curiosity drives everything.
These individuals are constantly looking ahead to what comes next, whether that's AI agents, multimodal systems or emerging technologies that have not yet reached mainstream adoption. According to the report, about 25% of decision-makers trust emerging AI technologies.
Explorers often help organizations stay aware of new opportunities before they become widely adopted. Their willingness to experiment can uncover valuable insights, even when every experiment doesn't succeed.
In many ways, they help organizations prepare for the future.
Why understanding your AI persona matters
Most organizations don't struggle with AI adoption because of technology alone.
They struggle because AI readiness varies across teams, functions and individuals. Some employees may embrace new tools quickly, while others remain focused on governance and risk. Both perspectives have value.
The most successful organizations create environments where these different approaches can work together.
Builders create trust, strategists connect AI to outcomes, power users accelerate adoption and explorers identify future opportunities.
Understanding your AI persona isn't about putting yourself into a box. It's about recognizing your natural tendencies and identifying opportunities to strengthen your approach.
The organizations seeing the greatest value from AI aren't simply adopting new technology. They're building the skills, governance and understanding needed to use it responsibly and effectively.
The first step is understanding how you approach AI today.
