Speed is a Metric, but Adoption is the Goal
What Athena’s own learning curve taught us about ethics, trust, and the human work behind technology adoption.
By Tevin Medley
___
Across sectors, leaders are hearing the same message: AI is here, and the organizations who adopt it first will win. However, that pressure creates a dangerous sense of urgency that can oversimplify AI adoption as mostly a technical decision.
What we are seeing instead is that AI often exposes the problems that were already there:
- unclear decision-making
- uneven communication
- low trust
- change fatigue, and
- unanswered questions about values.
New tools, especially those as powerful as generative AI, typically amplify these gaps. When leaders say, “We tried [insert new tool/tech here] and it didn’t stick,” the issue is often not the software. The issue is that people were asked to absorb a major shift without the support, clarity, or trust required to make that shift real.
At Athena, we have had to learn that lesson ourselves.
For a self-managed team that works across leadership, organizational development, and change management, it would have been easy to assume we were naturally more prepared than most, but we weren’t. Our own journey with AI has included uncertainty, uneven comfort levels, hard questions, and moments where the promise of efficiency ran ahead of the deeper work of alignment. We have had to ask: When does a tool support better thinking, and when does it flatten necessary nuance? How do we use AI in ways that are consistent with our commitments to equity, care, and human dignity? How do we make room for experimentation without creating confusion or fear? What should we actually be afraid of and what are the risks? Those are mostly change management and ethics questions.
Ethical AI is not just about policies, risk statements, or whether a platform has the right safeguards on paper.
It is also about how leaders introduce change, how teams are invited into learning, and whether people feel safe enough to question what is happening. If the people closest to the work don't understand the “why,” don't trust the process, or don't know where human judgment still matters, adoption will be shallow. The tool may be activated, but the transformation likely won’t be.
This is why real technology modernization requires more than a rollout.
It requires governance clarity, honest communication, room for skepticism, and workflows that reflect how people actually work. It requires leaders who are willing to say, “We are learning too,” and to treat implementation as a practice of collective literacy -how we read and understand the environment we are in, rather than a mandate.
Our takeaway is simple, if you need any new technology to succeed, do not start by asking what the tool can do. Start by asking what your people need in order to trust, use, and shape the change happening around them.
The organizations that benefit most will not be the ones that move the fastest to deploy, they will be the ones willing to do the slower work of aligning people, process, and values so the technology has a solid foundation.
___
Tevin Medley (he/him) is a partner at the Athena Group and provides program evaluation and monitoring as well as Diversity Equity and Inclusion (DEI) training, facilitation and consulting that meets a variety of needs for organizations of all sizes.
