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Context Data: USD 685B AI mining market by 2033 · +25% projected productivity increase · –28% reduction in safety incidents.
Executive Summary
Artificial intelligence is transforming the mining industry at every stage of the value chain: from geological exploration to operational safety and camp management. The global AI in mining market will reach USD 685 billion by 2033, with an annual growth rate of 41.9% (Grand View Research). The most urgent challenge is not the technology — it is knowing where to apply it first and with what safety and governance criteria.
Mining operates in one of the most complex and high-risk environments in existence. Extreme depths, variable atmospheric conditions, heavy equipment, thousands of rotating workers, and constantly growing regulatory pressure. For decades, the response was more staff, more procedures, and more documentation. Today, artificial intelligence opens up a different path: more data processed in real-time, less manual intervention in tasks with high exposure to human error.
In this article, we describe the main use cases of AI in mining, with a special focus on the most frequently underestimated area: camp management and personnel access control. We also explain how Suris Code developed a specific solution for this problem, based on a deep understanding of the industry's operational processes.
The AI in Mining Market in 2026
The mining industry turned to AI out of pressure, not curiosity. According to Grand View Research, the global AI in mining market was valued at USD 29.94 billion in 2024 and is projected to reach USD 685.61 billion by 2033, growing at an annual rate of 41.9%. It is one of the fastest-accelerating AI adoption markets of any industry.
The drivers of this growth are concrete:
Regulatory safety pressure. Fatal mining accidents account for 8% of global occupational deaths. Regulation is becoming increasingly strict, and the reputational cost of an accident is unacceptable.
Increasing operational complexity. Deposits are deeper, equipment is more complex, and workforces are more diverse and rotating than they were ten years ago.
Demand for critical minerals. The global energy transition requires copper, lithium, cobalt, and other minerals in volumes that the industry cannot achieve with stagnant productivity.
The Main Use Cases of AI in Mining
Artificial intelligence in mining is not a single technology applied to a single problem. It is a set of capabilities — computer vision, machine learning, natural language processing, predictive analysis — applied at different points of the operational cycle. These are the most relevant in 2026:
Geological exploration. Predictive models that analyze seismic, satellite, and geochemical data to identify high-probability deposit zones. They reduce exploration costs by up to 30%.
Predictive maintenance. Continuous analysis of equipment sensors to predict failures before they occur. It reduces unplanned downtime and extends the useful life of critical assets.
Autonomous vehicles. Trucks and equipment operated by AI that eliminate human exposure in maximum-risk zones. BHP and Rio Tinto operate autonomous fleets at an industrial scale.
Safety monitoring. Computer vision that detects risk conditions in real-time: incipient cave-ins, hazardous gases, people in restricted zones, equipment without the correct PPE.
Environmental management. AI that monitors emissions, water consumption, dust, and tailings in real-time, generating automated ESG reports and regulatory deviation alerts.
Camp management. Massive personnel badging, automated document analysis, access control with smart locks, and complete clearance traceability. The most underestimated area with the greatest immediate operational impact.
AI and Safety: The Most Critical Use Case
Safety is the natural entry point for AI in mining — and where the ROI is most immediate and easiest to justify at any level of the organization. According to data from the International Labour Organization, fatality rates in mining operations that deployed AI-based safety systems decreased by 18% to 28% between 2018 and 2023. Underground operations with advanced atmospheric monitoring reduced gas incidents by 42%.
Safety represents the most critical starting point for the adoption of AI in mining. Companies frequently begin with AI-based safety monitoring before expanding into production and exploration.
AI-assisted safety systems operate in three dimensions that manual control cannot sustain simultaneously:
Continuous monitoring — without breaks, fatigue, or distraction. Sensors and computer vision cameras process 24/7 what a human team could not review in real-time.
Early detection — AI models identify anomalies 45 to 90 minutes before gas concentrations reach dangerous levels, and predict mechanical failures before they occur.
Coordinated response — when a risk event is detected, the system can trigger alerts, coordinate evacuations, and adjust physical access in real-time, without waiting for human intervention for each step.
The Problem No One Solves Well: Mining Camp Management
There is an area of mining operations that concentrates a disproportionate amount of administrative friction, safety risk, and hidden costs: camp management and personnel access control.
Every time a new crew goes up to the mine — hundreds or thousands of people in rotation — someone has to verify that each person is cleared to be there. That their medical certificate is valid. That they completed safety induction. That their license hasn't expired. That their insurance is active. That they have no restrictions from previous incidents. That every single document required by the operation is present, legible, and within its expiration date.
Doing it manually, with teams of people reviewing files or spreadsheets, is slow, expensive, and error-prone. An expired document that goes unnoticed is not an administrative problem — it is a real safety risk and a concrete legal exposure for the mining operator.
According to Mining.com, one of the most urgent challenges for the mining industry in 2026 is the rising operational complexity due to the rapid expansion of operations. Access control systems are vital components of a site's safety strategy — but only when they can scale at the pace of the operation.
Suris Code · Mining Solution
AI-Powered Camp Management System
We developed an end-to-end solution that automates the complete cycle of mining camp management: from massive personnel clearance to physical access control with smart locks. Built on actual knowledge of the industry's operational processes and enabled by AI to scale without limits.
Massive badging — Simultaneous verification of the entire crew heading up to the operation, with automatic compliance analysis.
AI document analysis — Massive parsing of documentation required by the operation: expiration dates, authorizations, certifications, and inductions.
Smart access manager — Integration of clearance results with the smart lock system. Only authorized personnel can access their corresponding zones.
Full traceability — Audited records of every clearance decision, every access, and every safety event. Available in real-time for supervisors and auditors.
Massive Personnel Clearance: The Bottleneck Solved by AI
Massive personnel clearance is the process of simultaneously verifying that the entire crew going up to a mining operation meets the required compliance conditions. In operations with hundreds or thousands of people on permanent rotation, this process is a critical bottleneck that directly affects shift planning.
The traditional process works like this: each person submits their documentation, an administrator reviews it manually, validates that it is complete and within limits, and authorizes entry. With 500 people per shift, this process can take hours — and still leave room for error.
With AI-assisted document analysis, the process changes radically:
Process | Manual | With AI |
|---|---|---|
Clearance time (500 people) | 4 to 8 hours | Minutes |
Expired document detection | Depends on reviewer's attention | Automatic, with immediate alert |
Decision traceability | Manual or non-existent | Complete audited record |
Clearance updates | Daily or weekly batch | Real-time |
Integration with physical access | Separate, manual process | Automatic, synchronized |
Scalability | Linear: more people = more reviewers | Non-linear: scales at no extra cost |
Key Manager for Smart Locks: Closing the Loop
Physical access control is the point where document clearance becomes real operational safety. It is not enough to know that a person is cleared on paper — it must be guaranteed that only that person accesses their corresponding areas, and that access is automatically revoked when their clearance expires or changes.
The key manager of our solution integrates the results of the clearance process with the operation's smart lock system. The flow is automatic:
Document analysis determines that a person is compliant and defines which zones they have access to based on their role and clearances.
The system automatically generates the corresponding access credentials for the smart locks in those zones.
If a clearance expires, is revoked, or is modified, access is updated in real-time — without manual intervention.
Every access event is logged with a timestamp, person, zone, and outcome, generating full traceability for audits and emergencies.
Why This Solution Is Possible at Suris
This solution did not arise from AI alone. It emerged from the deep understanding of the mining industry's operational processes possessed by Suris professionals, combined with 18 years of developing software for highly regulated, critical sectors. Without this knowledge, AI can only generate a generic document management system. With it, it delivers a solution that understands the nuances of mining clearance: what documents each type of operation requires, how zone-based permissions are structured, what events trigger an access revocation, and how all of this is audited.
AI scales this knowledge. It does not replace it.
The Real Challenges of Implementing AI in Mining
Adopting AI in mining is not without its complexities. The most frequent ones we encounter in the industry are:
Connectivity in remote areas. Many operations are located in areas without stable coverage. AI solutions for mining must be capable of operating with intermittent connectivity and synchronizing when a network is available.
Integration with legacy systems. Most mining operations have ERP and management systems installed years ago. AI must integrate with them, not replace them.
Governance and cybersecurity. According to sector experts, connected systems in mining require robust cybersecurity protocols, especially when AI systems control physical access or critical equipment.
Cultural shift in the team. Effective adoption of AI requires supervisors and operators to trust the system's outputs. This is not achieved through technology — it is achieved through training, transparency in how the model works, and evidence that the system makes fewer errors than the manual process.
Frequently Asked Questions About AI in Mining
What is massive personnel clearance in mining?
It is the process of simultaneously verifying that the entire crew going up to a mining operation has the required documentation, clearances, and compliance conditions. With AI, this process is automated: the system analyzes everyone's documentation at scale and determines if they are cleared to enter, without manual intervention in standard cases.
How does AI improve safety in mining camps?
AI improves safety by automating personnel document compliance checks, managing access through smart locks integrated with clearance results, detecting hazards in real-time, and ensuring that only authorized personnel can enter high-risk zones. The complete traceability of every decision adds an extra layer of governance that manual processes cannot sustain.
What documentation can AI analyze during the clearance process?
AI can analyze any type of documentation required by the operation: medical certificates, technical clearances, license expirations, insurance, completed safety inductions, incident history, and any other site-specific document. The system is configured based on each operation's requirements.
How long does AI clearance take compared to the manual process?
A manual clearance process for 500 people can take between 4 and 8 hours of work for the administrative team, with a risk of human error in every review. With AI-assisted document analysis, the same process can be completed in minutes, with higher precision and full traceability for every decision.
How does the key manager for smart locks work?
The manager integrates the clearance process results with the physical access system. Only personnel cleared by the document analysis automatically receive access credentials for the zones that correspond to their role. If a clearance expires or is revoked, access is updated in real-time without manual intervention. Everything is logged with complete traceability for audits and emergency management.
Written by
Viviana Almada
Chief Strategy Officer & Managing Partner
Viviana Almada is Chief Strategy Officer and Managing Partner at Suris Code, where she defines the strategic direction in Marketing, Talent, and business growth. She establishes the frameworks that guide how the company attracts clients, builds its team, and positions itself in the market, while overseeing project kick-offs, operational tracking, and budget discipline. As a founding partner, Viviana brings both a long-term vision and a hands-on commitment to ensure that Suris Code grows as a sustainable and people-centric technology company.
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