TLDR: A top Google executive for Latin America, Adriana Norena, stated that the region shows immense promise for artificial intelligence adoption, with rates comparable to the United States and Europe. However, this growth is significantly hindered by a severe shortage of skilled professionals and adequate training in AI. Norena emphasized the need for investment in education and inclusive innovation to fully realize the region’s technological revolution.
Latin America is poised for a significant leap in artificial intelligence, with adoption rates mirroring those of developed markets like the United States and Europe. This optimistic outlook comes from Adriana Norena, Google’s vice-president for Latin America, who shared her insights in a recent interview. Despite the enthusiastic embrace of AI technologies by both users and businesses, a critical obstacle remains: a substantial deficit in trained professionals capable of working with AI.
Norena highlighted that approximately 48% of Latin American users interact with AI in some capacity, aligning with global averages. Furthermore, 56% of companies in the region are already integrating AI into their operations. This rapid adoption underscores a vibrant technological landscape, yet the underlying infrastructure for talent development is lagging. ‘We have a major talent shortage,’ Norena stated, pointing to the ‘lack of training, of people ready to work with AI’ as a primary impediment to sustained growth.
Google, a major player in the global AI race, has observed this regional disparity firsthand. The company itself reported second-quarter profits of $28.2 billion, largely driven by its AI advancements. However, the expansion of AI infrastructure, particularly data centers, presents its own set of challenges. In Latin America, the considerable water consumption required for cooling these massive server facilities has led to environmental concerns and pushback. For instance, an environmental court in Chile previously mandated Google to revise its plans for a $200 million data center, which was projected to consume seven billion liters of water annually.
Addressing the impact of AI on traditional media, Norena countered claims that AI dramatically reduces traffic to media company websites. She argued that AI acts as a filter, directing ‘more quality traffic’ to these sites, suggesting a balanced relationship rather than a detrimental one. To bridge the training gap, Google has initiated programs like ‘Crece con Google’ (Grow with Google), which has already provided 88,000 scholarships in Latin America. In Mexico, the company has also allocated funds to an NGO to train 60,000 vulnerable students in AI skills.
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Norena also stressed the importance of AI regulation, advocating for a collaborative approach involving both government and the private sector. The goal is to establish laws that prioritize privacy and foster beneficial AI development. She acknowledged the challenge of avoiding biases in AI, particularly in a region marked by inequality, and mentioned Google’s efforts with multidisciplinary teams and user collaboration to test and correct these tools. While acknowledging the difficulties in applying AI to indigenous languages due to a lack of critical mass, she noted that two indigenous languages from Mexico are already integrated into Google Translate, signaling progress in inclusive AI development.
