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In March 2025, Carlos from S\u00e3o Paulo logged into ChatGPT and turned a selfie into a lifelike action figure\u2014complete with Santos FC jersey, soccer ball, and drum set. He wasn\u2019t alone. In days, over 130 million users generated 700 million AI images. Brazil shot up to become ChatGPT\u2019s third-largest market, with public trust in AI reaching 84%, far above the global average. Latin Americans are clearly buzzing about AI.<\/p>\n\n\n\n
But while the streets are alive with experimentation, the boardrooms remain quiet. Across Latin America, corporate and political leaders are hesitating\u2014intrigued by AI\u2019s promise but paralyzed by its risks. The result? A widening gap between grassroots enthusiasm and institutional buy-in. And that disconnect could determine the region\u2019s future in the AI era.<\/p>\n\n\n\n
Fear at the Top<\/strong><\/p>\n\n\n\n Why the hesitation? In a word: fear.<\/p>\n\n\n\n Bankers worry about data breaches, legal exposure, and shaky regulations. While global peers like JPMorgan are embedding AI into everything from fraud detection to loan processing, many Latin American banks relegate AI to innovation labs\u2014safe from the core business. The result? Flashy pilots, press releases, and little actual change.<\/p>\n\n\n\n Doctors and lawyers are no less uneasy. Ask a radiologist if they use AI to interpret scans, and the answer often comes with pride: \u201cNo\u2014I rely on my expertise.\u201d Ask a lawyer about AI research tools, and you\u2019ll hear warnings about fake citations and breaches of confidentiality. In May 2025, a senior judge in Britain issued a public rebuke after a lawyer submitted an AI-generated brief riddled with errors. The story spread fast through WhatsApp groups across Latin America\u2019s legal networks \u2014vindicating skeptics and chilling experimentation.<\/p>\n\n\n\n Some of these concerns are justified. But let\u2019s not forget: human professionals make costly mistakes, too. Misdiagnoses, overlooked case law, botched contracts\u2014these happen regularly, with or without machines. Properly deployed, AI can reduce such errors. A legal assistant trained on Latin American case law can cross-check citations or redline contracts at superhuman speed. A doctor in a rural clinic can get a second opinion in seconds. Used wisely, AI isn\u2019t a threat to expertise\u2014it\u2019s a force multiplier.<\/p>\n\n\n\n The Jobs Debate: Apocalypse or Renaissance?<\/strong><\/p>\n\n\n\n Then there\u2019s the elephant in the room: jobs. Many executives fear that adopting AI will lead to mass layoffs, and no leader wants to spark unrest in countries already grappling with unemployment. So they stall.<\/p>\n\n\n\n Ironically, delay may trigger the very crisis they\u2019re trying to avoid. Fall too far behind, and companies may resort to sudden, sweeping automation just to survive\u2014laying off hundreds in a panic. By contrast, gradual integration allows time for retraining and adjustment. The choice isn\u2019t between disruption and stability\u2014it\u2019s between controlled change and chaotic collapse.<\/p>\n\n\n\n A 2024 Inter-American Development Bank study estimated that 28% of jobs in Latin America could be affected by AI in the next year alone\u2014roughly 84 million roles. Many of these are in information-heavy jobs like customer service, data entry, or junior accounting. And because women in Latin America are overrepresented in clerical roles, the impact could be deeply gendered.<\/p>\n\n\n\n But AI isn\u2019t just a destroyer\u2014it\u2019s a creator, too. With the right support, small entrepreneurs could thrive. A solo graphic designer in Panama City, a one-person shop in Bogot\u00e1, a coder in Guadalajara\u2014they can now operate at scale. With AI tools, a small team can analyze sales data, handle support chats, manage inventory, and run targeted marketing\u2014all without the overhead of a traditional firm. This isn\u2019t theory; it\u2019s happening.<\/p>\n\n\n\n What\u2019s needed is a skills revolution. Education systems must shift from static degrees to dynamic, lifelong learning. AI evolves fast\u2014today\u2019s \u201cprompt engineering\u201d tricks could be obsolete tomorrow. Latin American workers need training not just to use AI, but to think alongside it: designing, verifying, and adapting. That means breaking down silos, upgrading IT departments from support teams to strategy hubs, and making digital literacy core to every role\u2014from the C-suite to the factory floor.<\/p>\n\n\n\n The High Cost of Doing Nothing<\/strong><\/p>\n\n\n\n Of course, adopting AI isn\u2019t free. Latin American companies often struggle with legacy systems, messy data, and outdated infrastructure. Clean data is fuel for good AI\u2014and ours is often locked in dusty files or scattered across incompatible servers.<\/p>\n\n\n\n And yes, AI can fail\u2014sometimes spectacularly. It can hallucinate. It can get things wrong. The reputational risk of a bot gone rogue is real, especially in low-trust environments. That\u2019s why insurers are now offering \u201cAI failure\u201d policies at Lloyd\u2019s of London\u2014a science fiction concept just years ago.<\/p>\n\n\n\n But here\u2019s the bottom line: waiting for AI to become perfectly safe and plug-and-play isn\u2019t caution. It\u2019s surrender. Every major technological shift\u2014from railways to the internet\u2014came with risk. The pioneers who managed it wisely reshaped their industries. The laggards faded. If Latin America delays, the world will move on without it\u2014faster than we think. Doing nothing is the most expensive option.<\/p>\n\n\n\n From Policy Patchwork to Vision<\/strong><\/p>\n\n\n\n If fear explains the hesitation, weak policy locks it in. While the EU, China, and the U.S. race to set the rules, Latin America lags behind.<\/p>\n\n\n\n Brazil is debating an EU-style risk-based AI law. Chile and Argentina have published national strategies\u2014on paper. Mexico\u2019s efforts stalled amid political turnover. The result is a patchwork of pilot policies, vulnerable to being tossed out with each new administration.<\/p>\n\n\n\n What\u2019s missing isn\u2019t regulation\u2014it\u2019s ambition. Instead of banning bad AI uses piecemeal, we need a proactive vision: how can AI help solve Latin America\u2019s chronic challenges\u2014corruption, inequality, stagnant productivity? And what incentives or safeguards will make that vision real?<\/p>\n\n\n\n Chile offers a glimpse of what\u2019s possible. It invested early in digital infrastructure and built an AI roadmap that survived political change. Today, Chile leads Latin America in AI readiness. A 2024 study found that simply deploying generative AI across 100 common occupations could boost its GDP by 1.2%\u2014an extra $3.4 billion annually. That\u2019s not just theory. It\u2019s policy paying off.<\/p>\n\n\n\n Education: The Real Battleground<\/strong><\/p>\n\n\n\n If there\u2019s one place AI could be a game-changer, it\u2019s education. Latin America\u2019s schools are underfunded, uneven, and still reeling from the pandemic. AI could help us leapfrog from stagnation to innovation.<\/p>\n\n\n\n Picture a classroom in Guatemala\u2019s highlands: one teacher, 40 kids, few resources, and no internet. Now add a battery-powered AI tutor that works offline, speaks the local language, and adapts to each student\u2019s level. This is not science fiction. In a Nigerian pilot, students gained nearly two years of learning in just six weeks using AI apps. They didn\u2019t become geniuses\u2014they finally got instruction that met them where they were.<\/p>\n\n\n\n But AI won\u2019t save us if our habits don\u2019t change. If private schools zoom ahead with AI tools while public ones lag, the education gap will widen. Step one: empower teachers, don\u2019t replace them. Step two: ditch rote memorization and teach creativity, collaboration, and critical thinking\u2014skills machines can\u2019t replicate.<\/p>\n\n\n\n Between Two Giants: The Geopolitics of AI<\/strong><\/p>\n\n\n\n No discussion of Latin America\u2019s AI future is complete without zooming out to the global chessboard. The region is being pulled into the center of the U.S.-China rivalry. While we\u2019re not building the foundational models, we sit atop critical inputs\u2014lithium, rare earths, and other minerals essential to the AI economy. China has moved quickly to secure mining rights, fund infrastructure, and embed itself in Latin America\u2019s digital networks. The result? We risk remaining resource exporters and technology importers\u2014digging the gold while others mint the coins.<\/p>\n\n\n\n The U.S. is now reengaging\u2014first under Biden\u2019s \u201cfriend-shoring\u201d initiative, and now with the Trump administration signaling a more business-driven, America First approach. If this leads U.S. AI firms to expand operations into Latin America\u2014through data centers, chip plants, or research hubs\u2014the upside could be significant. But nothing will happen by default. Latin America must present itself as an attractive partner: politically stable, with clear incentives and a skilled, tech-ready workforce. That brings the focus back to education and infrastructure. No one will build a chip fab or an AI lab in a country with unreliable power or too few trained engineers. Geopolitics is forcing us to do our domestic homework\u2014and fast.<\/p>\n\n\n\n While it may seem distant from the daily grind of AI adoption, geopolitics is deeply intertwined with our prospects. A startup\u2019s survival may hinge on whether it can access the latest chips\u2014determined by export rules set in Washington, Beijing, or Brussels. The affordability of AI tools depends on trade policies our governments help shape\u2014or ignore. And our ability to produce, not just consume, AI depends on forging smart partnerships to build research centers, training programs, and data infrastructure on our own soil.<\/p>\n\n\n\n Seizing the AI Moment<\/strong><\/p>\n\n\n\n Latin America\u2019s AI moment is here\u2014but moments don\u2019t last. The region ranks among the world\u2019s most active users. Startups are building tools for agriculture, finance, and education. Citizens are ready to run. But too many leaders are still walking.<\/p>\n\n\n\n Embracing AI doesn\u2019t mean handing over the reins. I wrote this op-ed\u2014not a large language model. Left alone, AI would simply regurgitate what\u2019s already been said. But as a collaborator, it helped research and sharpen the work. That\u2019s the promise: humans and AI, working together\u2014each amplifying the other\u2019s strengths.<\/p>\n\n\n\n Latin America has what it takes: creativity, grit, and talent. The tools are here. The enthusiasm is real. What we lack isn\u2019t capacity\u2014it\u2019s conviction. And when caution stretches into inertia, it stops being prudence and starts becoming a recipe for irrelevance.This is a window, not a guarantee. And it\u2019s closing fast. Let\u2019s not\u00a0miss it.<\/p>\n","protected":false},"featured_media":22050,"template":"","cat-theme":[71],"cat-axe":[],"class_list":["post-22048","blog","type-blog","status-publish","has-post-thumbnail","hentry","cat-theme-tech-industrie"],"acf":[],"yoast_head":"\n