⚠️ How Past Failures in Change Management Prepare Us for the AI Revolution ⚠️

In the current #AI revolution, a striking 29% of employees, and 44% of Gen Z, are actively sabotaging their company’s Artificial Intelligence strategy, according to a 2026 report by Writer and Workplace Intelligence. We aren’t facing a technical gap: we are facing a trust gap, one that demands a serious technology adoption effort from companies and their leaders.

Back in 2007, during the early days of digital transformation at BBVA, navigating initial pushbacks against the massive expansion of web and mobile banking, we learned a lesson that shaped my career: technology is the easy part… how people adopt it, and create business value from it, is the hard part. To bridge that gap, I went to Stanford University to master human-centric design, alongside methodologies like agile and service design.

Notably, 48% of executives admit in 2026 that AI adoption has been a disappointment! A clear signal to better align #AI transformation, business value, and human talent:
1️⃣ Adoption and Change management are the AI strategy:
Most C-suite plans budget for tools, not for trust. The real transformation timeline is not the software rollout: it’s the cultural and process rewiring. Leaders must be emotionally intelligent, not just digitally literate.
2️⃣ Managers, bottleneck vs. change agents:
Top-down AI mandates may die at the manager layer. Training and empowering them is the differentiator. Companies serious about growth must treat managers as change agents. At Moeve, we empower business unit owners through the Human-AI Center of Excellence, as well as Technology Adoption and Change Management teams.
3️⃣ Human-in-the-loop is the ROI driver:
Companies that invested in psychological safety and reskilling during transformation consistently outperformed those that didn’t. At Moeve, we made a massive commitment to AI training for all colleagues, with over 80% already trained.

If corporations, universities, and governments want AI to deliver growth for everyone, ‘Human-in-the-loop’ is not a soft concept: it is the key to unlocking real value. In your experience, what’s the hardest human barrier you’ve faced in an AI rollout? 🚀