As organizations pour resources into artificial intelligence, the defining competitive factor is no longer access to data or technology - it's the quality of strategic judgment applied to those investments. That's the central argument from Gartner, which is positioning its advisory services around helping business leaders convert AI adoption into measurable outcomes rather than speculative spending.
Gartner's Latin America operations have evolved alongside this shift, with the company now supporting more than 13,000 client organizations globally through a team of over 2,400 analysts who synthesize more than 1 million market signals into strategic guidance. The firm, a US$6.5 billion S&P 500 company, works across roughly 90 countries through more than 20,000 associates.
"We are not a technology firm; our research is vendor-neutral and built upon rigorous methodologies, which eliminates any conflict of interest," said Cesar Velloso, Gartner Managing Vice President for Latin America. "While AI has democratized answers, it has not democratized strategic judgment. In a volatile business environment, the winner is not the organization with the most data, but the one with the most clarity."
From experiments to enterprise-wide deployment
Gartner's Latin American enterprise clients are moving past pilot projects, Velloso said, with growing focus on GenAI, intelligent automation, and embedding AI into core business processes. The trend is part of a broader cycle: AI initiatives depend on cloud infrastructure, which drives demand for stronger cyber defenses, which in turn requires governed data to function at scale.
"Organizations that successfully integrate technology into a unified strategy are the best positioned to accelerate innovation and remain competitive," Velloso said.
For executives planning that integration, Gartner recommends a four-phase AI model: setting ambitions, assessing current capabilities, taking action, and tracking achievements. The approach evaluates investments across dimensions including strategy, value, human resources, governance, engineering, and data - an effort to prevent siloed tech projects from developing outside a coherent enterprise strategy. The guidance aligns with broader resources on AI for Executives & Strategy.
Culture challenges outweigh technical ones
The biggest barrier to AI adoption is not technical, Velloso said - it's corporate culture and dated board-level decision-making models. Many Latin American companies are increasing technology spending without producing clear business outcomes, which is creating tension among CEOs and boards that still apply short-term ROI frameworks to long-term infrastructure investments.
"Organizations that successfully integrate technology into a unified strategy are the most positioned to accelerate innovation and remain competitive," he said.
He also cited Latin America's interest in digital sovereignty as a emerging focal point around regional AI strategy. Gartner is holding discussions with governments across the region on building sovereign technology infrastructure to protect critical data and foundational models. For private-sector leaders involved in similar strategic planning, an AI Strategy for CEOs learning path offers a starting framework for tying AI investments to leadership priorities.
What's driving value across the region
Velloso identified four interdependent technology threads shaping Latin America's trajectory: AI, advanced cloud platforms, cybersecurity, and data-driven operations. As their interconnection grows, they are increasingly treated as a single decision - evaluated as one investment whole rather than separate budgets.
"The strategic discussions have evolved significantly from simple cloud migration to optimization, digital sovereignty, and complex cost management," he said.
On cybersecurity specifically, Velloso noted the shift from specialist concern to board-level priority: "Business leaders increasingly recognize that security can no longer be viewed as a barrier to innovation, but rather as an essential lever for digital transformation and building customer trust."
Why this matters for executives and strategy
For executives, the practical takeaway from Gartner's positioning is that AI spending is entering a new evaluation stage. Boards are starting to demand that AI projects show concrete outcomes tied directly to revenue growth, profitability, or customer trust - not just technical milestones. In that environment, leaders who can link adoption decisions to quantified value may have an advantage over those who treat AI as an internal project to be managed separately from business operations.
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