Saturday, May 30, 2026Vol. III · No. 150Subscribe
The Mining, Energy & Technology Wire
Mining · Analysis

GIS Gets Smarter: AI Meets Automation

From AI assistants that write Python code to automated drilling workflows powered by geospatial data, the tools reshaping energy and mining operations are no longer optional—they're table stakes.

GIS Gets Smarter: AI Meets Automation
PhotographFrom AI assistants that write Python code to automated drilling workflows powered by geospatial data, the tools reshaping energy and mining operations are no longer optional—they're table stakes.

ArcGIS Pro 3.7 introduces the Analyze Map functionality, which surfaces many potential performance issues as well as suggested fixes. That sentence, buried in Esri's May 14 release notes, signals something bigger than a software patch. The geospatial industry is automating the expertise that used to take years to develop—and energy and mining companies are the early beneficiaries.

The release introduces new capabilities that reduce the need to duplicate maps, provide earlier insight into potential performance issues, and speed up many common workflows, including new tools to automatically extract features from scanned maps and the ability to control layer visibility by map frame in layouts. For teams managing pipeline networks or mineral exploration campaigns, that translates to fewer clicks, faster decisions, and workflows that scale without adding headcount.

Can AI Actually Write Your GIS Code?

The ArcGIS Notebooks assistant (beta) is an in-app coding assistant that explains, generates, and troubleshoots Python code, allowing users to get line-by-line walkthroughs to understand existing code and use prompts to generate Python code for automating administrative, content management, and analysis tasks, leveraging the ArcGIS API for Python or ArcPy. Released in February 2026, according to Esri, the assistant represents a shift from "nice to have" to "business critical" for organizations running complex spatial workflows.

Utility companies are already developing automated geoprocessing scripts and ETL pipelines using Python/ArcPy, ModelBuilder, and REST APIs to support real-time and near-real-time data workflows for field operations, outage management, integrity management, and grid monitoring. CPS Energy's recent job posting for a GIS Specialist highlights the demand—candidates need fluency in automation, not just cartography.

The implications extend beyond utilities. With commodity cycles shifting, driven by surging demand for copper, lithium, and other energy transition metals amid tight supply and geopolitical risks, new mining projects are advancing fast, and teams face pressure to move quicker with fewer resources, turning data into decisions without delays or confusion. Esri's mining-focused guide, published in January, emphasizes that GIS now serves as "the system of record and engagement" connecting office planning to field execution.

The ArcGIS Pro Assistant is extensible—developers can build and register custom actions using the ArcGIS Pro SDK, triggered by natural language input. That means a geologist could type "show me all drill holes within 500 meters of the fault zone with copper grades above 0.8%" and get results without writing a single line of SQL.

Where Automation Meets the Drill Bit

The convergence of geospatial intelligence and physical automation is most visible underground. Epiroc's Deep Automation for drilling is a suite of automation solutions for underground drilling and bolting that enables safer, smarter, and more efficient mine development and stoping processes through data and information flow, drill planning, automated operations and precise execution. The company announced the expansion on May 28, per International Mining.

Propeller states that integrating Spacesium's GIS expertise accelerates their ability to turn 3D data into immediate operational insights, with CEO Rory San Miguel noting that "we've been testing these algorithms with real customers, and it's been fantastic to see how much value they add in the field." The March acquisition, reported by Canadian Mining Journal, underscores how AI-driven automation is refining mine site intelligence beyond traditional mapping.

Propeller's new AI-driven Haul Road Analysis tool changes traditional inspections by automating detection processes, automatically identifying road centerlines and providing instant feedback on critical safety and efficiency parameters. For operations where haul roads function as the arteries of mine sites, the difference between manual point-to-point measurements that take hours and automated analysis is measured in both safety incidents avoided and fuel costs saved.

Epiroc is now launching a comprehensive set of digital mine planning solutions globally to further strengthen mining companies' operations, marking a milestone in Epiroc's strategy to consolidate its digital technology acquisitions into one connected offering, bringing together years of integration, development, and deep mining domain expertise. The May 20 announcement includes Drill Quality Manager, which monitors and optimizes drilling performance using near real-time 3D visualization—a direct application of geospatial workflows to operational execution.

Why Energy Infrastructure Needs Better Maps

Geospatial technology is transforming the energy sector by enabling smarter planning, monitoring, and management of resources through tools like GIS, satellite imagery, and drones that provide accurate spatial data improving infrastructure development, energy distribution, environmental monitoring, and sustainability practices, as the sector faces increasing complexity and environmental demands. Fulcrum's January update emphasizes that geospatial technology has become "a foundational tool for efficiency, resilience, and innovation."

Urban development is undergoing a quiet but profound transformation as cities grow denser and sustainability targets become more ambitious, with energy systems no longer treated as background infrastructure but becoming visible, measurable, and increasingly intelligent, with much of this shift driven by geospatial data, spatial modeling, and location-based analytics. GIS User reported in February that smart energy systems are rapidly becoming standard in modern urban developments.

In 2026, geospatial will continue to move beyond traditional 2D mapping into rich 3D and digital twin environments, with advances in reality capture technologies, including LiDAR, drone imagery, mobile mapping and photogrammetry, enabling organisations to create detailed, dynamic representations of the physical world. NGIS, an Australian geospatial consultancy, notes that digital twins are becoming "living systems that evolve over time, integrating new data to reflect real-world change."

The shift from static maps to dynamic intelligence layers is accelerating. The geospatial mapping industry in the United States is currently grappling with significant challenges stemming from reduced federal spending and a decline in government contracts that once fueled research and technological advancements, with geospatial mapping product manufacturers rethinking their approaches, implementing strategies aimed at downsizing their workforce while striving to preserve both productivity and innovation, as the market moves toward 2026 and adaptation to this new reality of shrinking federal engagement will be critical. Woolpert's February analysis suggests the coming years will see increased mergers and strategic alliances among industry participants.

What Changed This Week

ArcGIS Pro 3.7 was released on May 14, 2026, introducing new capabilities that reduce the need to duplicate maps, provide earlier insight into potential performance issues, and speed up many common workflows.

Epiroc expanded its Deep Automation portfolio on May 28 to include solutions for underground drilling and bolting.

Epiroc also launched a comprehensive set of digital mine planning solutions globally on May 20. The pace of integration between AI, automation, and geospatial workflows is no longer incremental—it's exponential.

What to Watch

The US National Geodetic Survey (NGS), Mexico's INEGI, and Canada's CGS plan to release new coordinate systems and transformations in 2026 including four new geodetic coordinate systems and a new vertical coordinate system plus geoid model, with around 1,900 new projected coordinate systems in the US ranging from low distortion projections to statewide zones. The National Spatial Reference System Modernization will require organizations to update workflows and validate existing datasets—a massive undertaking for utilities and energy companies with decades of legacy spatial data.

The ArcGIS Pro Assistant (beta) will be able to answer questions using ArcGIS Pro help documentation, generate SQL and graph queries, create Arcade expressions, produce ArcPy code snippets, and perform actions within the application. Esri's May roadmap indicates the assistant is still in beta, with broader rollout expected later this year.

Organizations can control AI assistant access through a role-based privilege system introduced in the February 2026 release, giving administrators direct control over who can use AI assistants. For companies in regulated industries—pipelines, utilities, mining operations with strict compliance requirements—the governance framework matters as much as the technology itself.

Coverage aggregated and synthesized from leading energy-sector publications. See linked sources within the article.

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