Report

From Pilot to Enterprise Value: How Energy Leaders Are Scaling AI

Gain exclusive insights from the 3rd Annual AI in Energy Summit (February 23-25, 2026), where 200+ senior energy leaders came together to share real‑world lessons on scaling AI beyond experimentation and into measurable operational impact.

This Post Event Report distils the strategies, challenges, and success stories shaping the next phase of AI adoption across the energy sector.

Inside the report:

• The five critical success factors behind enterprise‑scale AI deployments
• Why 95% of AI initiatives fail, and what top‑performing organisations do differently
• Real‑world case studies from ExxonMobil, AES, bp, Chevron, Dow, Phillips 66, and more
• Practical guidance on data foundations, governance frameworks, and workforce readiness

Download the report to benchmark your AI maturity, avoid costly missteps, and accelerate value creation across operations, assets, and the workforce.

Understand the Buyers. Shape the Conversation. Lead the Market in 2027.

This Post Event Report captures insights from 200+ senior decision‑makers who attended the 3rd Annual AI in Energy Summit (February 23-25, 2026), offering you a glimpse into the priorities, challenges, and buying signals shaping AI investment across the energy sector.

This report is essential reading for organizations considering sponsorship at the 2027 Summit as it shows exactly what the market is currently asking for.

Inside the report:

• The five decision factors energy leaders use when scaling AI beyond pilot stage
• Why 95% of AI initiatives fail, and where operators are actively seeking partner support
• First‑hand insights from ExxonMobil, bp, Chevron, Dow, AES, Phillips 66, and more
• Clear signals around data readiness, governance expectations, workforce capability gaps, and investment timelines
• Audience insights to help sponsors refine messaging, positioning, and use‑case alignment

After years of experimentation, the energy sector has reached a turning point.

AI is no longer about pilots - it’s about operational scale, workforce readiness, and real commercial impact.

This insight report captures what 131 senior energy leaders shared across 34 live sessions at the AI in Energy Summit, revealing what truly separates AI success from stalled initiatives.

Inside the Report, you’ll discover:

• Why 95% of AI initiatives still fail to deliver value—and why the issue isn’t the technology
• The three non‑negotiable gates to scaled AI ROI: data governance, workflow integration, and workforce readiness
• How leading operators are moving from dashboards ctly in daily operations
• Where energy companies are already seeing measurable ROI in predictive, prescriptive, and preventive maintenance
• And more...

Discover the sponsorship opportunities available at the 2027 AI in Energy Summit.

Our attendees are looking for solutions to help implement and scale Artificial Intelligence to power intelligent operations and maximize asset performance, in order to enhance production, asset management, sustainability, and drive down operating costs.

Do you have a solution to help our 200+ senior operations, digital, data and AI leaders? We can create a tailored package to ensure you're getting the most out of your investment.

Download your copy of the sponsorship prospectus today for insights into attendee profiles and the opportunities to showcase your solutions.

After years of experimentation, the energy sector has reached a turning point.

AI is no longer about pilots - it’s about operational scale, workforce readiness, and real commercial impact.

This insight report captures what 131 senior energy leaders shared across 34 live sessions at the AI in Energy Summit, revealing what truly separates AI success from stalled initiatives.

Inside the Report, you’ll discover:

• Why 95% of AI initiatives still fail to deliver value—and why the issue isn’t the technology
• The three non‑negotiable gates to scaled AI ROI: data governance, workflow integration, and workforce readiness
• How leading operators are moving from dashboards ctly in daily operations
• Where energy companies are already seeing measurable ROI in predictive, prescriptive, and preventive maintenance
• And more...

The AI in Energy Summit welcomed over 200+ senior operations, digital, data and AI leaders from across North America this past February. Returning in 2027, you can now download the sample attendee list and discover who joined us.

Featuring a sample of 100+ delegates and over 60+ companies, the sample attendee list is an expanded look at the attendees, and who you could be meeting in February, 2027.

Download your copy now!

Read as Adam Pryor, Manager - Strategic Analytics at Murphy Oil, delves into the persistent barriers to scaling AI and how to navigate the new, fast-paced landscape of technical debt and vendor partnerships.

What are the most persistent barriers you’ve faced when scaling AI from a proof of concept to enterprise-wide deployment?

Adam Pryor: I see two major aspects. The first is data availability and uniformity. You might pick a data-rich POC, but as you scale across the organization, you discover differences in process and data collection that create challenges. At the end of the day, it’s garbage in, garbage out. The second barrier is the pace of change in the technology itself. The speed at which third-party tools develop is often much faster than you can build internally. We’ve had instances where we develop and deploy something, and there’s already a better tool on the market. You have to ask, “What is the development cycle?” If it’s longer than eight weeks, you might want to wait and see if the technology catches up. You don’t want to develop that technical debt.

How do you decide which AI initiatives are worth scaling, and how do you ensure they stay aligned with evolving business priorities?

Adam Pryor: This is the age-old question for any technology. There are a lot of people who are technology-first, not problem-first. The real question is: is AI providing a differentiated value that justifies its use?

Learn how Murphy Oil are dismantling the biggest AI challenges in energy.

Download your copy to read the full article to find out.

How do we invest in AI today without being left behind tomorrow?

To get a real-world perspective on this challenge, we sat down with event speaker Marcus Johansson, Director, Technology Services, Application Delivery at Xcel Energy. Marcus shared his first-hand experience on overcoming the persistent barriers to scaling AI, from first proof of concept to deploying the technology across the enterprise.

Read as Marcus discusses the:

• Most persistent barriers when scaling AI
• Drive to hire data scientists
• AI initiatives worth scaling
• Metrics to rely on when measuring success

Marcus is a highly accomplished senior strategy and transformation leader with over 20 years of experience driving business transformation, acquisition integrations, and strategic initiatives across Fortune 500 organizations.