Charging up: How 7 power & energy companies are innovating with cloud and AI

Every industry is excited about the revolutionary potential of AI. Yet no sector’s success is arguably tied to AI like that of power and energy companies. After all, AI is driving soaring demand for electricity — while at the same time, one of the best ways to meet that demand safely, economically, and reliably for everyone is through AI- and cloud-enabled optimization.

It’s “energy for AI and AI for energy,” as Dr. Lou Martinez Sancho, Westinghouse's CTO and Executive Vice President of R&D and Innovation, said in a recent article on Google’s Keyword blog.

Westinghouse is just one of dozens of power and energy companies deploying Google Cloud’s capabilities to reimagine what’s possible. Whether it is reducing downtime through predictive maintenance or accelerating the deployment of nuclear energy, here’s a look at how leaders in power and energy have turned data and AI into decisive action in 2025.

Adani is reshaping how assets live and breathe in the digital era by building its Industry Cloud on the foundation of Google Cloud. Acting as the group’s "Asset Operating System," this platform leverages Google’s powerful SaaS and PaaS capabilities — specifically BigQuery, Looker, and Apache Airflow — to weave live operational data with enterprise IT. By relying on this scalable Google architecture, Adani ensures every new asset speaks the same digital language, driving a story of resilience that features optimized energy costs and significantly reduced downtime.

AES is reshaping operational intelligence and accelerating the clean energy transition by leveraging Vertex AI, BigQuery, and Datastream. With these tools, AES is deploying predictive models to enhance grid resilience and outage management, such as providing a more accurate estimated time of restoration for their utility customers. AES is able to drive this operational agility thanks to Datastream’s zero-latency replication of outage data from internal databases to BigQuery.

AES is also using digital twins to optimize the renewable lifecycle, from site screening to performance validation. This transformation empowers commercial teams to strengthen revenue forecasting against market volatility, allowing AES to scale intelligent automation and establish a scalable, data-driven foundation for a high-performance, decarbonized energy grid.

Fluence uses Gemini Enterprise to eliminate the hidden cost of scattered knowledge that taxed its engineering teams. Faced with critical documentation dispersed across multiple platforms (e.g., Jira, SharePoint, Salesforce), Fluence leveraged low-code Gemini agents drafted by their field engineering teams to create an intelligence layer that breaks down silos and connects disparate data. This AI-powered solution acts as a connected teammate, turning trapped technical knowledge into accessible, actionable intelligence. As this solution scales globally, the result is an expected 30%-50% improvement in individual engineering efficiency and quality through search-time reduction and knowledge sharing.

Fluence is also using Gemini Enterprise to empower technical writers, using low-code prompts to speed the creation of technical documents by converting photos of complex electrical enclosures into brand-consistent illustrations to be used for training videos and user manuals.

NexTier Completion Solutions is building a platform to enhance efficiency and safety in oil and gas well completions using data and automation, built on Google Cloud's scalable infrastructure. Google Cloud provides the foundation for real-time data processing and analysis of the vast datasets generated from wellsite operations. With Google Cloud's cutting-edge AI and machine learning services like Vertex AI, NexTier can enhance its AI-driven capabilities to deliver predictive analytics for equipment maintenance, optimize operational workflows, and provide customers with unparalleled data transparency. NexTier is also using Customer Engagement Suite with Google AI to deliver enhanced customer experiences and support.

NextEra Energy is leveraging Google’s generative and agentic AI to reinvent field operations and enhance grid resilience. By integrating proprietary asset data with Google’s advanced AI, NextEra is shifting to a predictive model that anticipates equipment issues and optimizes crew deployment against supply chain and weather constraints, significantly reducing costs and improving safety.

Simultaneously, NextEra is deploying Google’s open-source TimesFM 2.5 and WeatherNext 2 models to address the challenges of aging assets and unprecedented load growth. This transformation enhances security-constrained power flow modeling, providing deep insights into system optimization. These efforts ensure a more reliable, resilient grid while maintaining affordability and establishing a scalable foundation for future utility planning.

Par Pacific is undertaking a comprehensive digital transformation across its energy business, beginning with migrating its most mission-critical SAP applications to Google Cloud to ensure scalability and reliability. By leveraging advanced data and AI capabilities, such as BigQuery and Vertex AI, Par Pacific plans to establish a unified data foundation, breaking down silos between their SAP and non-SAP systems. This will enable Par Pacific to unlock real-time insights, build intelligent agents, and power advanced analytics. Taken together, these advances should fundamentally evolve its operations and enable smarter, data-driven decision-making throughout the company.

Westinghouse is collaborating with Google Cloud to accelerate the deployment of clean nuclear energy, including jumpstarting the construction of ten new 1-gigawatt-scale AP1000 reactors within the United States by 2030. To support this work and address the critical demand for carbon-free power, Westinghouse is leveraging Google Cloud’s AI alongside its proprietary Hive AI infrastructure and Bertha gen-AI assistant to transform complex construction processes, which historically represented up to 60% of project costs. By integrating Google’s models with the WNEXUS 3D digital twin, the platform predicts bottlenecks and optimizes task sequencing. Early pilots have already demonstrated significant time and cost savings.

The power of Google

Many customers tell us that they choose to partner with Google Cloud because they’re getting more than just a cloud provider; our customers are getting access to a whole ecosystem of unique capabilities that the many parts of Google and Alphabet have built and relied on for decades. It’s this ensemble, working in concert with a company’s native capabilities and expertise, that even greater innovation becomes possible for the energy sector.

• Our leading geo solutions, such as Earth Engine, FireSat, Imagery Insights on BigQuery and StreetView, provide the foundational capabilities for geospatial analysis and optimization.
• We are the only company that offers an optimized full-stack AI platform, from our leading infrastructure to world-class models, giving customers a cost, speed, and capability advantage.
• Google has always had a strong emphasis on open-source and multi-cloud solutions. This means we help customers avoid vendor lock-in and enable the flexibility they need in today's complex IT environment. In fact, we developed (and then open-sourced) many of the leading technologies in use today — including Kubernetes, graph databases, and many more.
• Search is in our DNA. You’ll find that familiar, clean, and intuitive search interface combined with context-aware intelligence (e.g. Knowledge Graph) embedded in all of our solutions. This is backed by our leading infrastructure like always-on, virtually unlimited scale databases (Spanner) and our AI and analytics-ready data lakehouse (BigQuery). These capabilities enable us to scale solutions and make analytics and AI-based results more intuitive, relevant, and accurate.
• Unique, cutting-edge research (e.g. DeepMind CANOS, WeatherNext, Waymo, Tapestry, Quantum Computing, Transformer) to actively tackle the toughest problems.
• Google is a leader in IT-OT security and data sovereignty, thanks to work from units such as Mandiant and Cloud Armor, which offer cyber defense, threat intelligence, and incident response. The sovereign and air-gapped capabilities of Google Distributed Cloud, our regional data centers, and other of our services help customers manage their sovereignty and cyber security needs for both IT and OT related systems.

AI is undeniably the catalyst for a new era of energy demand, but as our customers demonstrate, it is also a key to helping unlock energy abundance. Whether leveraging BigQuery for scaling analytics, WeatherNext for asset planning, or Gemini Enterprise for workforce efficiency, the industry is already using 'AI for Energy' to solve complex problems today.

Google is committed to bridging the gap between this surging demand and reliable, affordable supply. We’ve been a pioneer in this space from the very beginning - from achieving 100% renewable energy every year since 2017 to making leading investments in geothermal energy, small modular reactors, fusion energy, to our commitments in sustainability. We aren't just talking about power and energy - we're actively investing in it and pushing the boundaries to enhance the state-of-the-art.

Contact us if you’d like to learn more about how you can innovate with Google Cloud.