Automation itself isn’t a strategy: The leadership playbook for AI adoption

Far too often, organizations mistake AI experimentation for a true AI strategy. Delays come because leaders fail to be decisive about what they want out of AI at their companies.

During the opening keynote address of Ragan’s AI Horizons Conference in Fort Lauderdale last week, Charlene Li, founder of Quantum Networks Group, said that decisive leaders are the ones who avoid the pitfalls of AI adoption.

“I talked to one company that had 900 use cases,” she said. “That is not a strategy. That is procrastination from having to make a decision. Instead, what happens is that you end up in pilot purgatory. No one really commits, because what if it changes? What if we make the wrong choice?”

For comms pros, this reframes AI as less of a technology rollout and more of a test of leadership chops. If leaders don’t visibly commit to AI or explain how it fits in on the job, no amount of messaging can make up the gap.

“Transformation is never about the technology,” Li said. “It is always about the people. We forget that. When transformation has to happen, you need to be able to communicate — not just say what you’re going to do with AI, but make sure everyone inside and outside the organization understands what you’re doing and why.”

Li went on to say that if leaders want to actually implement AI effectively, they need to realize that AI alone isn’t a strategy in and of itself — it’s a method of accomplishing tasks that need to connect to a concrete plan for the organization.

“Technology cannot be a strategy,” Li told the audience. “It is a strategic initiative that supports your strategy. The organizations that win don’t ask, ‘What can AI do?’ They ask, ‘What can AI do for us?’ Those are two very different questions, and they make a world of difference.”

Li argued that effective AI adoption requires leaders to make their priorities visible. It happens through a roadmap that employees and other stakeholders can see and understand clearly.

“It’s written in pencil, but it needs to exist,” she said. “We recommend an 18-month rolling roadmap where you can clearly say what you’re doing first, second, and third — and then you stop every quarter, look at what changed, and adjust. If an AI roadmap does not exist, fear fills in the gaps.”

In that environment, Li said, communicators play a decisive role.

“You are the trust architects — the people who help set expectations and be very realistic about what’s going to happen and what isn’t,” she said. “This isn’t just change management. This is transformation management.”

That comms role becomes especially critical as leaders confront a reality many are uncomfortable admitting — they don’t always know exactly how AI is going to alter the workplace.

“Leaders are often called upon to have the answers — that’s what leaders do,” Li said. “And when it comes to AI, we may not. You don’t have certainty, because everything is changing. The role of communicators is to help leaders communicate when they don’t know the answer.”

Li said that credibility in these uncertain moments comes from honest dialogue.

“The trust isn’t going to come from really polished communications,” Li said. “It’s going to come from your ability to create two-way conversations between leaders and people, where people can honestly ask questions and leaders can honestly say, ‘This is what we know, and this is what we don’t know.’ That’s how trust gets built — not by pretending certainty exists when it doesn’t.”

Succeeding with AI doesn’t mean eliminating uncertainty. It means leading through it, with communicators helping turn honesty into trust.

Sean Devlin is an editor at Ragan Communications.