AI Adoption: Are We Moving Fast Enough—or in the Right Direction?

Happy Monday everyone!

🧠 I’ve been reflecting on a question for weeks: Is #AI adoption really moving at the pace we expected?

• Investment is growing.

• The conversation is nonstop.

• Expectations are sky-high.

• Yet… real transformation doesn’t always happen that fast.

Part of my work is identifying #use cases where technology delivers tangible value. After analyzing many, I’ve arrived at three key insights 👇

✨ AI operates in three main areas:

💼 Business / Product: We’ve moved beyond pilots. AI-powered products are real, and they generate measurable value.

👥 Workforce: This remains sensitive. Hesitation (“Will it take my job?”) mixes with uncertainty (“I don’t know what I don’t know”).

⚙️ End-to-End Operations: There are working examples, but we haven’t yet seen the breakthrough that truly transforms how companies operate.

💡 The real question isn’t the HOW (AI, RPA, analytics…), it’s WHAT: What problem are we trying to solve?

Only once that’s clear AI stops being a promise and becomes a lever for real impact.

In operations, the challenges are especially deep:

🧩 Thinking end-to-end and understanding the complex value chain

🔐 Managing data & cybersecurity

💾 Investing in solid infrastructure

👩‍💻 Attracting specialized talent

📘 The World Economic Forum reports: It includes a table defining Phases of AI Organizational Adoption (Phase 1 to Phase 5)

Whereas in some areas, IA #use cases have been already clearly identified (like integrating it in the portfolio and improving efficiency of the workforce), the there’s still a long journey ahead (overall IA would be in Phase 3 according to WEF scale).

The question today is no longer if we adopt AI, but where it can create the greatest impact—for business, people, and operations.

What do you think?