While European banks consolidate their rollout of agentic artificial intelligence \u2014 systems capable of making decisions and executing end-to-end tasks with minimal human oversight \u2014 Latin America presents an interesting paradox: greater lag in adoption, but a strategic window to accelerate and, in several respects, skip stages that Europe had to go through.<\/p>\n\n\n\n
The numbers are striking: more than 85% of banks supervised by the European Central Bank already use artificial intelligence in some dimension of their business. What changed in 2025 and 2026 isn’t adoption itself \u2014 that was already underway \u2014 but the type of AI being deployed.<\/p>\n\n\n\n
Banks like BBVA, ING, Deutsche Bank, and Santander have moved past basic chatbots and first-generation predictive models. Today they run large language models applied to legal analysis, documentation, investment advisory, and personalized customer service. BBVA identified more than 60 use cases for generative AI, including systems that explain loan terms in plain language, without legal jargon. ING, working with McKinsey, built a conversational assistant based on large language models that significantly boosted customer satisfaction. Deutsche Bank uses these models for financial analysis and investment advisory services.<\/p>\n\n\n\n
But the most significant leap defining 2026 is the shift toward agentic AI: systems that don’t just answer questions but coordinate tasks, make decisions, and execute entire processes with minimal human oversight. Capgemini identified it as the dominant technology trend of the year in banking. The ECB, in its 2026-2028 supervisory agenda, has already made monitoring generative and agentic AI applications a strategic priority.<\/p>\n\n\n\n
The picture in the region is different, though more dynamic than usually acknowledged. 77% of Latin American financial institutions are already investing in AI algorithms and advanced data analytics; 75% plan to adopt AI agents in 2026. Yet only 23% manage to extract real economic value from those investments, and just 6% report a significant impact on profitability.<\/p>\n\n\n\n
The gap isn’t one of intent but of infrastructure and maturity. Legacy systems \u2014 decades-old core banking technology \u2014 remain the main obstacle to scaling AI across operations. In Europe, banks spent years modernizing that layer before they could deploy AI at scale. In Latin America, that process is underway, but far from finished.<\/p>\n\n\n\n
That’s precisely where the opportunity lies. Unlike European banks, which had to dismantle and migrate old architectures at enormous cost, several Latin American institutions can build directly on modern, cloud-native infrastructure, adopting agentic AI without passing through the same intermediate stages. It’s a leapfrog effect similar to what happened with mobile banking: the region skipped desktop banking altogether and adopted mobile as its primary channel.<\/p>\n\n\n\n
The signals are concrete. In March 2026, Mastercard executed the first agentic transactions in production in Latin America. Weeks later, Santander and Visa completed a simultaneous pilot across Argentina, Brazil, Chile, Mexico, and Uruguay, in which AI agents carried out complete end-to-end purchases without human intervention. Boston Consulting Group estimates that agentic AI adoption could boost banking profitability by 30% and cut operating costs by 30% to 40% by 2030.<\/p>\n\n\n\n
For Juli\u00e1n Colombo, CEO of N5 \u2014 a company specializing in AI platforms for the financial industry in Latin America \u2014 the difference between Europe and the region isn’t technological ambition, it’s execution capability. “Latin American banks have clarity on where they want to go; the challenge is how to connect that vision with existing systems without paralyzing operations in the process.”<\/p>\n\n\n\n
Europe’s path shows that agentic AI isn’t an abstract goal: it’s the natural outcome of incremental modernization layered onto the banking core. The region has the advantage of learning from that journey and, in many cases, shortening the path considerably.<\/p>\n\n\n\n
The question is no longer whether Latin American banking will adopt agentic AI. It’s how fast it will happen \u2014 and whether the infrastructure will be ready to sustain that leap.<\/p>\n\n\n\n
Sources: European Central Bank, European Banking Authority (EBA), Capgemini World Retail Banking Report 2026, Boston Consulting Group, PYMNTS, Galileo Financial Technologies, Infobae, MobileTime Latinoam\u00e9rica.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":" Si la IA ag\u00e9ntica ya est\u00e1 implementada en Europa. El rezago de la industria en Latam es la oportunidad ideal para saltar pasos y evitar transiciones y pelda\u00f1os intermedios.<\/p>\n","protected":false},"author":36,"featured_media":17066,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_seopress_robots_follow":"","_seopress_robots_imageindex":"","_seopress_robots_snippet":"","_seopress_robots_primary_cat":"","_seopress_robots_breadcrumbs":"","_seopress_robots_freeze_modified_date":"","_seopress_robots_custom_modified_date":"","_seopress_robots_canonical":"","_seopress_social_fb_title":"","_seopress_social_fb_desc":"","_seopress_social_fb_img":"","_seopress_social_fb_img_attachment_id":0,"_seopress_social_fb_img_width":0,"_seopress_social_fb_img_height":0,"_seopress_social_twitter_title":"","_seopress_social_twitter_desc":"","_seopress_social_twitter_img":"","_seopress_social_twitter_img_attachment_id":0,"_seopress_social_twitter_img_width":0,"_seopress_social_twitter_img_height":0,"_seopress_redirections_value":"","_seopress_redirections_enabled":"","_seopress_redirections_enabled_regex":"","_seopress_redirections_logged_status":"","_seopress_redirections_param":"","_seopress_redirections_type":0,"_seopress_analysis_target_kw":"","footnotes":""},"categories":[214,203],"tags":[417,418,419,420],"_links":{"self":[{"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/posts\/17068"}],"collection":[{"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/users\/36"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/comments?post=17068"}],"version-history":[{"count":2,"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/posts\/17068\/revisions"}],"predecessor-version":[{"id":17074,"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/posts\/17068\/revisions\/17074"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/media\/17066"}],"wp:attachment":[{"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/media?parent=17068"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/categories?post=17068"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.n5now.com\/en\/wp-json\/wp\/v2\/tags?post=17068"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}