AI adoption faces productivity and governance hurdles in Chile and Argentina

Organizations in Chile and Argentina are facing challenges in translating artificial intelligence adoption into measurable business productivity. While many workers report feeling more efficient, actual impacts on time savings, quality, and business returns remain low.

In Chile, MAS Analytics reports that while 28.3% of surveyed organizations are implementing AI, only 3.6% have successfully scaled it with clear, sustainable returns. Key barriers include a lack of technical training—with 40% of companies citing insufficient training as a barrier for 2025—and a significant lack of ethical and governance frameworks. According to PwC Chile and ESE Business School, only 9% of organizations have a formal ethical framework, and 67% lack a formal approach to identifying associated risks.

In Argentina, the focus is on moving from isolated pilots to integrated operations. Experts suggest that many companies face issues with data quality, fragmented systems, and inefficient manual processes rather than a lack of AI tools themselves. Without proper data governance and process integration, AI risks merely accelerating existing organizational errors and inefficiencies instead of providing value in areas like finance, logistics, and sales.