Quick Answer:
Chile's National Statistics Institute (INE) reported that national unemployment reached 9.4% in the March-May 2026 moving quarter, its highest level in nearly five years. Economists cited by La Tercera link part of that pressure to the rapid expansion of artificial intelligence in administrative, systems, and customer-service tasks.
Key Takeaways:
According to La Tercera, Chile's National Statistics Institute (INE) reported that the national unemployment rate reached 9.4% in the March-May 2026 moving quarter. That level marks the highest point recorded in nearly five years, per the same outlet.
The number does not stand alone. As La Tercera reports, youth unemployment sits more than 4 percentage points above the level it held before ChatGPT's launch — a data point economists cite as part of the evidence that something has shifted in how companies hire, especially for the entry-level roles traditionally filled by younger workers.
To understand whether the rise is cyclical or structural, La Tercera turns to the Nairu — the non-accelerating inflation rate of unemployment calculated by the Central Bank of Chile. According to the outlet, that structural rate exceeded 8% as of December 2024, before the AI debate intensified to its current level.
Central Bank president Rosanna Costa is cited by La Tercera in the context of this institutional diagnosis of Chile's labor market. The existence of an already-elevated Nairu before the recent AI adoption boom suggests Chile's labor market carried prior structural weaknesses, which complicates attributing the current rise to a single factor.
La Tercera details which professional profiles appear most exposed to AI disruption in Chile: public administration policy specialists, systems analysts, software developers, lawyers, secretaries, insurance agents, pension fund executives, advertising and marketing professionals, and teachers.
At the other end, the sectors that appear least exposed according to the same reporting are construction, cleaning, material handling, and domestic service — jobs that depend on physical, in-person tasks that current generative AI does not directly replace.
This sector split matters for any business that relies on administrative, systems, or customer-service staff: those are exactly the roles where automation pressure is concentrating first, according to La Tercera's reporting.
As a reference point for the scale of adjustment a single company can undergo, La Tercera cites the case of Oracle: the multinational cut 21,000 jobs over a 12-month period, close to 13% of its total workforce, in a process the company itself tied directly to AI adoption.
That figure is not about Chile specifically, but it serves as global context for the magnitude that AI-linked labor restructuring can reach inside large organizations, and helps explain why the topic is drawing so much attention in Chilean economic media right now.
La Tercera gathers the voices of several economists to add nuance to the debate. Carmen Cifuentes, an economist at Clapes UC, is cited in the analysis of the phenomenon. Priscila Robledo, chief economist at Fintual, and Benjamín Villena, an economist at Universidad Andrés Bello, are also consulted by the outlet, as is Gabriel Weintraub, an academic at Stanford's Graduate School of Business.
The consensus the reporting conveys is one of caution: there is no conclusive evidence that the rise in unemployment responds mainly to AI. The more nuanced reading offered by the cited specialists is that Chile is probably not seeing massive job destruction, but rather lower intensity in new job creation — companies are hiring less for roles AI can already partially cover, rather than mass-firing people already employed.
That distinction matters. A labor market that creates fewer new jobs, rather than destroying existing ones, has a different dynamic: it affects first those looking for their first job or changing jobs, which lines up with the youth unemployment gap La Tercera reports.
While Chile's debate centers on which human jobs survive automation, a second transformation is happening in parallel: how customers find businesses. More and more consumers in Chile, Mexico, Colombia, and the United States are using ChatGPT, Perplexity, and Google AI Overviews as their first stop, instead of typing directly into Google.
That means that just as certain office roles are being evaluated on how well AI can cover them, businesses are also being evaluated — quietly — on how well AI "understands" them. If your business lacks the structured data, natural-language content, and authority signals these systems need to cite you, a customer can ask ChatGPT for the best provider in your category and never hear your name.
MerchandisePROS's Answer Engine Optimization (AEO) service audits exactly those signals: whether your business shows up when customers ask AI tools for services like yours, and what is missing for it to start appearing. In a labor market where AI is already reorganizing which jobs exist, it makes no sense to leave to chance whether that same AI knows your business exists.
Start with a free digital audit — in under a minute you will see whether your business has the signals AI needs to recommend you, or whether your competitors are winning those mentions while you go unmentioned.
"AI is not just changing which jobs exist. It is also changing how your customers find you — and most businesses still are not measuring that."
- Diego Medina F, Founder of MerchandisePROS
According to Chile's National Statistics Institute (INE), national unemployment reached 9.4% in the March-May 2026 moving quarter, the highest level in nearly five years, per La Tercera.
There is no conclusive evidence that AI is the main cause, according to economists cited by La Tercera. What they acknowledge is that AI is pressuring the pace of new job creation more than it is massively destroying existing jobs.
The Nairu is the structural unemployment rate estimated by the Central Bank of Chile. According to data cited by La Tercera, that rate exceeded 8% as of December 2024, suggesting part of the current unemployment has structural roots that predate the recent AI expansion.
According to La Tercera, the most exposed profiles include public administration policy specialists, systems analysts, software developers, lawyers, secretaries, insurance agents, pension fund executives, advertising and marketing professionals, and teachers. The least exposed are construction, cleaning, manual material handling, and domestic service.
While AI reorganizes which human roles remain necessary, it is also reorganizing how customers find businesses — increasingly through AI assistants instead of traditional search. An AI search visibility (AEO) audit shows whether your business appears when a customer asks ChatGPT or Perplexity for a provider in your category.