AI-Augmented Executives: A Playbook for Costa Rica and Mexico
- Only 10% of Latin American organizations report their AI strategy is actually linked to business strategy with leadership accountability (World Economic Forum, 2026).
- Costa Rica and Mexico both sit in the "Adopters" tier of CEPAL's 2025 Latin American AI Index — a real, mid-tier position, not the back of the pack.
- AI governance is advancing on paper across the region, but budgets and execution mechanisms lag behind it (CEPAL, 2025).
- Being "AI-augmented" as an executive means using AI yourself, not just approving its use by others.
- The fastest place to start is one real decision this week — not a company-wide rollout.
An AI-augmented executive is a leader who uses AI directly in their own work — not one who has simply approved a budget for it. That distinction matters more in Costa Rica and Mexico right now than almost anywhere else, because the region's AI conversation is still concentrated at the strategy level, not the practice level.
The gap between approving AI and using it
Only 10% of surveyed organizations in Latin America report that their AI strategy is systematically linked to their broader business strategy, with senior leaders feeling accountable for the outcome (World Economic Forum, 2026). That's not a tooling problem. It's a leadership-practice problem — a strategy that isn't personally understood by the people accountable for it rarely survives contact with a real decision.
Costa Rica and Mexico: Adopters, not laggards
Costa Rica and Mexico are both classified as "Adoptantes" (Adopters) in CEPAL's 2025 Latin American AI Index — a real, mid-tier position. The opportunity for leaders in both countries isn't catching up on access to AI tools. Access is not the bottleneck. Converting that access into judgment is.
Governance is written down. It isn't run yet.
Across the 19 countries covered by CEPAL's index, including Costa Rica and Mexico, AI governance strategies are advancing on paper — but they lack the budgets and execution mechanisms to actually run (CEPAL, 2025). A governance document that no one funds or enforces isn't governance. It's a slide deck.
What "AI-augmented" actually looks like for a leader
Section AI's Greg Shove has made the case publicly that executives need their own personal AI practice, separate from whatever their company's AI strategy says — a fair point, and one that holds regardless of which specific methodology a leader eventually adopts.
In practice, the questions worth asking aren't "which tool." They're: What decision am I making this week that AI could sharpen, not replace? What's the smallest version of that I could test today, without waiting for a company-wide rollout? And what would I actually need to see in the output before I'd trust it enough to act on it?
Where to start this week
- Pick one recurring decision — not a whole workflow — and run it through AI once this week.
- Write down what "good enough to trust" looks like for that decision before you see the output, so you're judging the result instead of rationalizing it.
- Bring what you learned to the next leadership meeting as one specific example, not a policy proposal.
This is what Momentum Mapping does
In the CRAFT methodology, this first pass at one real decision is what we call Momentum Mapping — a deliberately small, provable starting point instead of a company-wide AI initiative that stalls before it delivers anything.
FAQ
What does "AI-augmented executive" actually mean?
It means a leader who uses AI directly in their own decisions and work, not one who has only approved a budget or a pilot for someone else to run. The distinction is personal use versus organizational sponsorship.
Is Costa Rica or Mexico behind on AI adoption?
No — both countries sit in the "Adopters" tier of CEPAL's 2025 Latin American AI Index, a real mid-tier position, not the bottom. The gap isn't access to AI tools; it's converting that access into leadership judgment and governed practice.
Should a company start with an AI policy or a leader's own AI practice?
Start with the leader's own practice. Only 10% of Latin American organizations report AI strategy genuinely linked to business strategy with leadership accountability (World Economic Forum, 2026) — a policy written by people who haven't used the tools themselves rarely holds up.
What's the difference between an AI policy document and real AI governance?
Across the 19 countries in CEPAL's 2025 index, AI governance is advancing on paper but lacks the budgets and execution mechanisms to actually run. A policy becomes governance only when it's funded, owned by someone specific, and enforced — not when it's simply written down.
How does this connect to AI operations implementation?
A leader's own AI practice is the starting point, not the finish line — it's what makes the Clear Picture stage of an Implementation engagement (the Momentum Map) accurate instead of guessed. See the AI Operations page for how that full engagement works.
- World Economic Forum — Latin America and the Intelligent Age — World Economic Forum
- Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025 — CEPAL
- How to Use AI as an Executive — Section AI