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“You can lead a horse to water, but you can’t make it drink.”
The same goes for technology. Many organizations today are racing to roll out artificial intelligence tools, eager for employees to take a long, confident gulp from the digital watering hole. Yet, despite hefty investments, many leaders discover a hard truth: Introducing AI is not just a technology problem—it’s a human one.
The real competitive edge does not come from AI itself. Algorithms and platforms are increasingly available to everyone. The advantage lies in how effectively leaders can persuade their workforce to embrace, trust and use AI in meaningful ways. That requires influence, not mandates. It requires motivation, not fear.
Through the lens of psychologist Robert Cialdini’s six principles of persuasion, companies can find practical ways to guide adoption while building trust and buy-in.
1. Liking: Make AI approachable
People are more likely to follow those they like and relate to. Organizations can put this into practice by using employee champions who are approachable, not just tech experts. Imagine a peer in sales, human resources or finance sharing how an AI tool helped cut meeting prep time in half. Success stories like these resonate more deeply than top-down memos.
2. Reciprocity: Show the payoff early
Employees are more willing to embrace new tools when they see immediate value in return. Training sessions should highlight quick wins like using AI to draft a client email or streamline reports. When people feel the company has invested in tools that save them time and reduce stress, they are more likely to reciprocate by engaging with the technology.
3. Scarcity: Highlight unique opportunities
Scarcity drives urgency. Companies can position AI fluency as a must-have career skill that sets employees apart in the marketplace. Early-access pilot programs, limited-seat training cohorts or “first to market” advantages for teams that adopt AI can generate excitement and demand. The message: Those who learn AI now will be better positioned for success today and tomorrow.
4. Consistency: Connect adoption to values
People want to act in ways that are consistent with their identity and commitments. Leaders should tie AI adoption to company values such as innovation, customer focus or excellence. Small commitments matter, too. When teams pledge to test AI tools in one project, it builds a pattern of consistent use that grows over time. Recognition for those who consistently apply AI reinforces the behavior.
5. Authority: Build trust through credible voices
Endorsements matter, but they must come from trusted figures. Employees respond better when respected leaders, not just IT departments, champion AI. Adding credibility from outside voices—industry experts, academic research or regulatory bodies—also reassures staff that adoption is both responsible and inevitable. Pairing authority with transparency around AI’s risks and challenges can help establish trust and a sense of psychological safety.
6. Social proof: Show that peers are already on board
Humans are social learners. If employees see colleagues using AI successfully, they are more likely to try it. Share adoption metrics (“80% of our client teams now use AI weekly”) or spotlight testimonials from peers in different roles. Peer-to-peer learning opportunities—like lunch-and-learn sessions—spread momentum far faster than policy announcements.
Indiana businesses do not have to look far for inspiration. Indiana University recently launched GenAI 101, a free online course designed to give members of the campus community a practical understanding of generative AI and how it can fit into daily life and work. Participants are equipped with critical skills such as prompt engineering, data storytelling, fact-checking AI-generated content and ethical AI use. Available to anyone with a campus login and developed for early mid-stage learners with no experience, the course even provides a certificate of in-demand skills upon completion. Programs like this illustrate how organizations can lower barriers, build confidence and create a sense of shared learning—all essential ingredients for adoption.
For many businesses, the temptation is to push AI like a mandatory software update. But real adoption happens when leaders recognize the human side of change. Influence, trust and motivation are the levers that move people from skepticism to curiosity to confidence.
AI will not replace the need for human leadership. In fact, it makes leadership more critical than ever. Organizations that succeed will be those whose leaders not only introduce new tools but also cultivate the mindset and motivation for employees to use them well.
The watering hole is there. The question is: Will your people take a sip and keep coming back for more?•
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Westerhaus-Renfrow is a clinical associate professor of management and business law at the Indiana University Kelley School of Business Indianapolis.
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The problem with asking (or coercing) employees to rely more heavily on AI tools isn’t so much that the tools are hard to use and their output is highly untrustworthy, it’s that the very concept of these tools undermines the credibility of the worker using them, and devalues the work that’s being requested.
If the work isn’t valuable, then why is it being assigned – and if the work is valuable, AI has no business being involved.