Argentina’s promise to welcome AI investment will mean little without better computing infrastructure, trained talent and public trust, argues policy expert Soledad Guilera. Her assessment points to a practical gap between inviting AI companies in and building the conditions for them, and the people affected by their systems, to thrive.
Watch Desk analysis
What happened
In an article published by Americas Quarterly on 28 October, Guilera argues that Argentina should focus less on deregulation and more on the foundations of a dependable AI sector. She points to the country’s share of regional computing capacity, a shrinking public science system and ageing data-protection rules.
Her figures put Argentina at 2.3% of Latin America’s GPUs and 1.1% of its processing power, with seven certified data centres. Chile has 37, she writes. A government plan worth $6.6 billion to improve infrastructure has reached the bidding stage, while a proposed incentive law for AI and data centres still awaits a Senate vote.
Why it matters
Guilera’s argument is that investment incentives alone cannot make an AI ecosystem work. Data centres need power; companies need skilled people and sustained research; and customers need answers about how their data is used and who is responsible when automated decisions go wrong.
She proposes four priorities: fund the infrastructure behind AI incentives, build training and research capacity, revive stronger data-protection rules, and make government use of AI more transparent. These are the author’s recommendations, not enacted policy. They make the debate more concrete than a simple choice between regulation and growth.
Our read
The useful question is not whether Argentina should copy another region’s rulebook. It is whether the country can pair investment with the electricity, expertise and accountability that make investment useful. A tax break can open the door; it cannot conjure a power line or persuade the public to trust what happens next.
Guilera makes a case for treating infrastructure and public confidence as part of AI policy, rather than paperwork to sort out after the ribbon-cutting. That deserves more attention than the familiar promise that less regulation automatically means more progress.
What to watch
- Whether the Senate votes on the proposed AI and data-centre incentive law.
- Whether the $6.6 billion infrastructure plan moves beyond bidding.
- Whether the lapsed data-protection bill returns, including its proposed right to human review of automated decisions.
- Whether Argentina publishes clearer information about AI systems used by government.
Discussion spark: Should Argentina prioritise attracting AI companies first, or build the infrastructure, skills and public safeguards that Guilera says are missing?
Sources and evidence
- Source update (28 October 2026, 11:01 UTC)
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