AI Adoption Is Moving Fast. Human Readiness Is Still Catching Up.

When Melanie Franklin joined Theresa Moulton for the Change Management Review™ webinar on May 13, the conversation quickly moved beyond tools, prompts, and productivity gains. What emerged was a more urgent question for the change management profession: are organizations investing enough in the human readiness required to make artificial intelligence adoption work?

The session opened with a simple question from Theresa: what do you think is the benefit of artificial intelligence?

The chat immediately came alive. Participants described artificial intelligence (AI) as a brainstorming partner, a thought partner, an efficiency tool, and a time-saver. Others pointed to its value in analysing stakeholder sentiment, organising random thoughts, starting plans, validating thinking, and providing fast access to best-in-class ideas.

The responses came from change professionals across geographies, including Philadelphia, Toronto, Rio de Janeiro, Dublin, London, Boston, and Malaga. The locations mattered because they reinforced one of the central realities of the conversation: AI adoption is not a local technology issue. It is a global change.

And, as Melanie made clear, it is also a profoundly human one.

Melanie brought to the webinar the depth and practicality that have made her one of the profession’s most respected voices. With more than thirty years in change management, ten books, and her role as chief examiner for multiple professional qualifications, she did not offer easy reassurance or a tidy answer. Instead, she invited the profession to look more honestly at what AI adoption is asking of people.

One of the most important tensions she named was the gap between executive investment and workforce readiness. Research reports may vary slightly, but the message is consistent: more than 90 percent of executives are planning to increase AI spending in the next three years. Yet, in many organizations, there is far less visible investment in the confidence, guidelines, habits, and support people need to use AI well.

That imbalance is dangerous.

Giving people access to AI tools is not the same as enabling adoption. In many workplaces, employees are being encouraged to experiment without enough clarity about what is allowed, what is safe, what quality looks like, or how human accountability should be applied. In that vacuum, fear fills the space.

Melanie named the deeper anxiety directly: “If I help bring this in, am I voting for my own annihilation?”

That question may be uncomfortable, but it cannot be ignored. For many people, AI does not feel like another system implementation. It touches professional identity, expertise, relevance, security, and the future value of their role. Change professionals cannot address AI adoption effectively if they treat it only as a matter of communication, training, or tool usage.

This is where Melanie’s practical example became especially valuable. She walked through how she has started to rethink readiness assessments by mapping the work and identifying where AI can genuinely help. AI can support question development, data collation, pattern recognition, and identification of readiness gaps. It can accelerate parts of the process that are often time-consuming and fragmented.

But the next layer of work remains unmistakably human.

When a stakeholder is anxious, a team lacks confidence, a leader needs to be influenced, or trust has been damaged, AI cannot take over the work of relationship-building. It cannot replace the judgment required to choose the right conversation at the right moment. It cannot persuade someone who feels exposed, devalued, or threatened by the change.

That is the work of human intelligence.

One of Melanie’s strongest reminders came near the end of the session. As the author of Neuroscience for Change at Work, she challenged change professionals to pay as much attention to human intelligence as they are now paying to artificial intelligence. Our brains shape how we process change, how we interpret threat, how we build confidence, and what it takes for us to move from awareness to genuine adoption.

This may be one of the most important messages for the profession right now. AI may become a powerful resource in change management work. It may help us think faster, analyse more broadly, and work more efficiently. But it does not remove the need for empathy, trust, judgment, ethics, influence, and human connection.

In fact, it makes those capabilities more important.

The future of change management will not belong to professionals who reject AI, nor to those who hand over their judgment to it. It will belong to those who can understand where AI adds value, where human intelligence must lead, and how to help people cross the adoption curve with confidence.

AI is already here. The harder work now is building the human readiness to use it well.