The AI Adoption Program launches in Chile to bridge executive capability gaps
A new executive education initiative originating in Chile addresses a persistent organizational problem: the gap between artificial intelligence's availability and leadership's ability to deploy it strategically. The AI Adoption Program, founded by Catalina Taricco and Felipe Pacheco, begins its first cohort on October 13, 2026, running through December 29.
Taricco, an investor and director at the Chilean Venture Capital Association (ACVC), brings over 14 years of experience from Kimberly-Clark, Marriott International, and VSPT Wine Group. Pacheco serves as Anthropic Community Ambassador in Chile, founded Poweredia, and leads the AI Tinkerers Santiago community.
The program responds to McKinsey's 2026 State of AI survey, which found that approximately two-thirds of organizations have not scaled AI beyond isolated pilots. Only 1% of C-suite executives describe their organization's generative AI deployment as mature, revealing a critical capability gap at the leadership level.
The 12-week online program delivers 22 live sessions on Tuesdays and Thursdays at 10:00 Chile time. The curriculum includes 12 practical masterclasses taught by Pacheco on the AI Adoption Framework, plus 10 sessions with guest leaders sharing real-world adoption experiences, including failures and lessons learned. The program structure is vendor-agnostic and requires an estimated five hours of weekly commitment.
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Admission is curated, with the founding team reviewing each application individually. Participants must maintain 80% attendance and complete weekly assignments to earn certification. The first cohort is capped at 100 participants, with applications closing October 12 or when capacity is reached. Early registration before September 9 reduces the fee from $990 to $792.
Why C-suite AI literacy is becoming critical for LATAM organizational scaling
The failure to move AI from pilot to production reflects a leadership challenge rather than a technology constraint. Organizations across Latin America face pressure to demonstrate AI value, yet the bottleneck consistently appears at the decision-making layer where executives lack frameworks to evaluate use cases, allocate resources, or redesign workflows around intelligent systems.
For employers building teams in the region, this executive education gap has direct workforce implications. Companies pursuing a chile recruitment agency partnership to hire technical AI talent often discover that engineering capacity outpaces leadership's ability to direct it effectively. The result is underutilized specialists, abandoned proof-of-concept projects, and mounting pressure to show return on AI investment.
Pacheco emphasized that successful regional implementations did not begin with model selection. According to his statement in the original announcement, functioning cases started with teams that understood which problem they wanted to solve. While technology changes every six months, the judgment required to use it does not.
This dynamic reshapes talent planning for organizations operating in or expanding to Latin America. Technical hiring alone no longer suffices when leadership cannot translate AI capability into operational change. The emergence of structured executive leadership development in Latin America focused specifically on AI adoption signals a market correction, as organizations recognize that capability must exist at multiple levels to achieve deployment at scale.
Taricco stated that Latin America has an unprecedented opportunity to capture AI value, but emphasized that technology will enter organizations with or without strategy. The initiative's mission is to ensure adoption is led rather than improvised.
How executive AI education shapes talent demand across Latin America
Formal AI adoption curricula for senior leaders will likely accelerate changes in how organizations structure teams and define roles. As executives develop literacy in AI capabilities and limitations, demand patterns shift from general technical hiring toward specialists who can bridge strategy and implementation.
Companies will increasingly seek professionals who combine domain expertise with practical AI deployment experience. This creates opportunity for mid-career managers who invest in structured AI education to differentiate themselves in competitive markets. The curated admission process and completion requirements signal that credentials in executive AI education will carry weight in hiring decisions, particularly for roles involving digital transformation or innovation leadership.
For organizations building AI-focused talent strategies across industries, the maturation of executive AI education in Latin America suggests a coming shift in compensation benchmarks. As leadership capability in AI adoption becomes measurable and certifiable, organizations may face pressure to adjust salary bands for roles requiring demonstrated AI fluency.
The program's framework moves through five progressive stages: understanding AI without technical jargon, auditing work to identify value opportunities, experimenting with tools on real problems, integrating AI into standard workflows, and leading adoption across teams. This structure mirrors the competency progression organizations will increasingly expect from senior hires.
The vendor-agnostic approach matters for workforce planning. Rather than training executives on specific platforms that may become obsolete, the curriculum focuses on judgment frameworks that remain relevant as technology evolves. This aligns with employer needs for leaders who can evaluate emerging tools and make build-versus-buy decisions without vendor lock-in.
For employers evaluating leadership candidates in Latin America, completion of structured AI adoption programs may soon serve as a practical filter. The combination of live instruction, peer cohort learning, and mandatory project work creates verifiable evidence of capability that traditional credentials do not provide. As the first cohort completes, early adopters will enter the following year with differentiated profiles in a market where executive AI literacy remains scarce.