Artificial intelligence can accelerate research, synthesis, production, and experimentation. It can also make it easier to move quickly without fully understanding the problem being solved. That distinction is becoming one of the most important leadership challenges surrounding AI adoption.
ArtVersion leadership contributed to Inc.’s “21 AI Mistakes Companies Keep Making,” cautioning against treating AI as a strategy rather than a tool. His point is straightforward: when organizations begin and end with AI, they risk replacing disciplined problem definition with plausible-looking output.
A better answer to the wrong problem is still the wrong answer
Strong digital work begins by establishing the context around a challenge. Who is affected? What behavior needs to change? What evidence supports the assumption? What constraints matter? Without those questions, AI can produce more material while leaving the underlying issue untouched.
The risk is especially visible in brand, product, and website initiatives. A company may generate messaging before clarifying its position, layouts before understanding the user journey, or features before deciding what customers actually need. The outputs may look complete, but completion is not the same as resolution.
Use AI to strengthen the thinking around the work
ArtVersion’s strategic design process treats AI as an accelerator within a human-led framework. It can help teams explore possibilities, organize research, challenge assumptions, and reduce repetitive effort. Direction still comes from the people responsible for understanding the organization, audience, and consequences of the decision.
That approach supports better governance as well as better design. When the problem, criteria, and ownership are clear, teams can evaluate AI-assisted work with more confidence. The technology contributes to the process without quietly becoming the process.
Read the full Inc. Leadership Forum panel for additional AI implementation mistakes and practical lessons from business leaders.