Chilean mining continues to be the economic engine of the country, representing 11,9% of the GDP and 46% of exports in 2023. 44% of the operations already implement artificial intelligence, with a projection of 80% adoption by 2026. However, only 25% of AI projects are fully integrated into operations.
Chile is not only the largest copper producer in the world. It is increasingly becoming a laboratory for digital transformation on an industrial scale. While copper production faces structural pressures (a decline of 1.4% in 2023 and downward revised projections for 2030), the mining industry responds with a strong commitment to technology: artificial intelligence, automation, and advanced analytics are redefining how the sector operates.
It is important for technology leaders working with medium and large companies in Chile and LATAM to understand this transformation. Mining accounts for 11.9% of the national GDP and generates 46% of the country's exports. What happens in the operations impacts the entire value chain.
Current State of Chilean Mining in 2026
According to the Central Bank of Chile, copper mining contributed 8.7% of the national GDP in 2023, while sector exports reached US$ 43.433 billion (equivalent to 46% of the total exported by Chile). The industry also supports more than 277,000 direct jobs, according to the National Institute of Statistics (INE).
But not everything is positive. Copper production reached 5.25 million metric tons in 2023, a decrease of 1.4% compared to the previous year (Cochilco, 2024). This decline contrasts with the global growth of the sector: world copper production increased by 1.4% during the same period, according to the United States Geological Survey (USGS).
The most recent recovery shows encouraging signs. The Monthly Economic Activity Index (Imacec) grew by 2.4% in June 2026 (its best performance after five consecutive months of decline), primarily driven by mining production. Goods production increased by 3.9% that month, with copper mining as the main driver.
Nevertheless, the production forecast for 2030 has been reduced from 7.13 to 6.87 million metric tons of fine copper, according to Cochilco. The need to reverse this trend is what is accelerating technological adoption in the sector.
How is Artificial Intelligence Transforming Chilean Mining?
El 44% of mining operations in Chile implement or pilot artificial intelligence tools, and it is projected that by 2026, 80% of companies in the sector will have integrated AI projects into their operations, according to data from the Chilean technology ecosystem.
There are four use cases that account for most of the progress:
1. Predictive maintenance: the most widespread use case
Predictive maintenance leads the adoption of AI in Chilean mining. Companies use machine learning models to anticipate failures in conveyor belts, crushers, mills, and truck fleets. The impact is direct: reducing unplanned downtime translates to millions in operational savings.
2. Real-time process optimization
A large-scale mining operation generates terabytes of data daily from sensors installed on shovels, trucks, and milling plants. AI enables the processing of this information to optimize real-time decisions: energy consumption, metallurgical recovery, and flotation performance are some of the processes currently being optimized.
3. Operational safety with artificial vision
AI solutions applied to security include computer vision to detect risky behaviors, remote monitoring of operations, and early warning systems. These systems not only reduce incidents but also support critical decisions with greater speed and accuracy than traditional methods.
4. Sustainability and energy efficiency
Chilean mining operations are already running on 70% clean energy. Prescriptive AI helps reduce waste, extend the lifespan of assets, and optimize energy consumption.
Which Companies Lead Technological Innovation in Chilean Mining?
The major operations in the country are no longer in the experimental phase. Antofagasta plc, Codelco, and Minera Centinela have AI systems operating in production. Antofagasta plc reported significant advances in automation, remote operation centers, and advanced analytics through its SIRO system, which generates operational recommendations in real time.
Un dato que ilustra el potencial de la inversión tecnológica: la ampliación de Quebrada Blanca registró un aumento del 196.9% en su producción en 2025 (contra 2023), siendo la operación que más creció en el sector privado ese año.
Regarding the supplier ecosystem, according to a Cochilco study cited by La Tercera, more than 300 companies have implemented technological solutions for mining in Chile, and the 66% is defined as a provider with a high component of knowledge, R&D, and innovation. A mature market, with real space for specialization.
Main Challenges for Scaling AI in Mining?
Here is the data that should concern any tech leader the most: according to Portal Minero. Only 25% of AI projects manage to fully integrate into mining operations. The rest remain in pilot or partial implementation.
El estudio Deloitte-CESCO 2026 identified that the main barrier to scaling AI in large mining is not the budget or the technology: it is the organizational culture. Resistance to change outweighs technical obstacles.
This is compounded by bottlenecks in digital infrastructure:
- Fragmented data in legacy systems
- Low connectivity in remote areas
- Lack of integration between OT (Operational Technology) and IT systems
- Insufficient computing capacity for real-time analytics
Industrial cybersecurity also emerges as a growing risk: the OT/IT convergence expands the attack surface in critical operations.
In talent, the demand is specific: Data Engineers with OT/IT experienceMLOps Engineers capable of taking pilot models to production and operational profiles that know how to work with algorithmic recommendations in the field.
Chile 2026-2030: What’s Next for Mining and Technology?
The copper production forecast for 2030 (6.87 million metric tons) represents a decrease from previous estimates. This downward revision is a call to accelerate technological investment to offset structural factors such as the aging of mines and the decline in ore grade.
Between 2004 and 2022, the Total Factor Productivity (TFP) of Chilean mining fell by 28%, according to Cochilco. Reversing this trend requires robust digital infrastructure, real integration of AI solutions, and specialized talent.
Chile has competitive advantages that few mining countries can match: abundant and high-quality data, an ecosystem of over 300 local technology providers, and operations that already run on mostly clean energy. The challenge is to turn those advantages into measurable results, taking AI from the pilot phase to full-scale operation.
Chilean Mining Needs More than Technology: It Needs Real Integration
Chilean mining maintains its position as a global powerhouse, but the margin for complacency is narrow. The gap between the 44% that pilots AI and the 25% that fully integrates it reveals that the problem is not access to technology, it is execution.
For technology leaders of companies operating in Chile and LATAM, mining offers a clear signal: digital transformation in industrial sectors requires end-to-end integration, model governance, cultural change management, and security as a priority from day one.
The organizations that manage to close that gap (between the pilot and scalable production) will be the ones that define the competitiveness of the sector in the next decade.