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Artificial intelligence is moving beyond copilots and generative tools toward systems that can plan, coordinate workflows, and take action with varying degrees of human supervision. For oil and gas, that shift could have significant implications for how operations are managed.
In this Insights episode of the Oil & Gas Journal ReEnterprised podcast, Chris Smith speaks with Gino Hernandez, head of global digital business at ABB Energy Industries, about what agentic AI could mean for the future of oil and gas operations.
The discussion explores:
- How agentic AI differs from generative AI and today’s AI copilots.
- How AI agents could transform workflows in the field, control room, and plant.
- The importance of data quality, provenance, and context in enabling trusted AI-driven decisions.
- How companies can balance greater AI autonomy with operational safety, cybersecurity, and human oversight.
- Where agentic AI offers the greatest near-term potential and where the risks demand caution.
- What oil and gas executives should do now to prepare for increasingly autonomous operations.
Hernandez examines how the industry could move from using AI to assist in executing individual tasks toward systems capable of coordinating entire workflows and making decisions within defined boundaries. The conversation considers what that transition will require in terms of governance, accountability, and human judgment, and how oil and gas companies can determine where greater AI autonomy creates value without introducing unacceptable risk.
About our guest
Gino Hernandez is head of digital business at ABB Energy Industries. Prior to ABB, he founded Colexas Digital Inc. and Lavoro Technologies Inc., and served as managing director or Rockwell Automation’s Global Oil & Gas business.
Gino holds an industrial distribution degree from Texas A&M University and an MBA from Rice University.
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