When Energy Giants Build Intelligence: What Aramco’s AI Journey Reveals About Industrial Transformation
How building AI infrastructure at industrial scale requires more than algorithms—it demands the foundational capabilities that energy companies have spent decades perfecting
There’s a particular irony in watching an energy company become an AI infrastructure powerhouse. While Silicon Valley races to build the next chatbot, Aramco—the company that has powered global industry for over 90 years—is quietly building something far more foundational: the actual infrastructure that makes AI possible at scale.
I’ve been watching this transformation from the inside as a Lead Digital Experience Design Architect at Aramco’s Saudi Accelerated Innovation Lab (SAIL), and what’s happening here challenges almost everything the tech industry assumes about digital transformation.
The Reality of AI Infrastructure
Aramco recently published their vision for building the AI future, and while the headlines focus on investments and scale, what struck me most was what wasn’t said: the complex, foundational reality of making AI actually work in industrial contexts.
The article mentions $1.8 billion in AI-driven Technology Realized Value in 2024 alone. But here’s what that number obscures: 442 identified use cases, with 200+ solutions deployed and 100+ still in development. That’s not a moonshot story. That’s the story of systematic, persistent implementation across one of the world’s most complex operations.
In Unfinished, I wrote about how real transformation happens through accumulated small decisions rather than singular breakthrough moments. Aramco’s AI journey is a perfect case study: AI models analyzing drilling plans, autonomous systems preventing failures, reservoir simulations informing engineering decisions. Each one unremarkable on its own. Collectively, they’ve helped maintain Aramco’s position as one of the lowest upstream carbon intensity producers globally.
The Infrastructure Problem No One Talks About
Here’s where it gets interesting: the International Energy Agency projects that AI and data centers will account for around 20% of total electricity growth in advanced economies between 2024 and 2030. Twenty percent.
This is where energy companies stop being legacy players and become essential enablers. Building intelligent systems requires more than algorithms—it requires reliable, affordable power at scales most tech companies have never had to think about. It requires physical infrastructure that doesn’t fail when training large language models for weeks at a time.
Aramco’s planned investment in HUMAIN—the PIF-owned AI infrastructure company—isn’t just about building data centers. It’s about constructing the complete, integrated digital foundation that will form vital national infrastructure: compute-as-a-service, cybersecurity, cloud services, and the power to run it all reliably.
This is the kind of foundational work that determines which AI ambitions succeed and which ones remain unrealized.
What Design Architects See That Others Miss
Working at the intersection of design, technology, and industrial-scale operations has taught me something crucial: the success of AI implementation has less to do with algorithmic sophistication and more to do with understanding context, constraints, and human capability.
Aramco’s commitment to training more than 6,000 AI developers through partnerships with Imperial College, Caltech, and KAUST reveals an understanding that many tech companies lack: people are the foundation of every successful digital transformation. Not just any people—specialists who understand both the global state-of-the-art and local context, who can build systems that work in specific conditions with specific constraints.
This mirrors what I explored in my work on enterprise-scale design challenges: you can’t design for generic “users.” You have to design for real people with specific contexts, needs, and capabilities. The same principle applies to AI deployment at industrial scale.
The Promise and the Reality
Aramco’s vision positions Saudi Arabia as a regional and global hub for AI excellence. Through Aramco Digital, they’re providing solutions in connectivity, cybersecurity, and cloud computing to empower the industrial sector and accelerate the Kingdom’s industrial transformation.
But here’s what I appreciate about their approach: it’s grounded in actual operational experience. When you’ve been managing some of the world’s most complex industrial operations for 90 years, you develop a certain pragmatism about technology. You understand that reliability matters more than novelty. That integration beats isolated brilliance. That the systems that persist are the ones designed for maintainability, not just launch-day demos.
What This Means for AI’s Future
The tech narrative around AI tends toward either utopian promises or dystopian warnings. What gets lost is the mundane reality: AI’s impact will be determined by infrastructure, implementation capability, and the unglamorous work of making systems actually function in real-world conditions.
Aramco’s journey from energy provider to AI infrastructure builder suggests a different future than the one Silicon Valley imagines—one where the companies that understand physical infrastructure, reliable operations, and long-term capability building become essential players in determining how AI shapes industries.
For those of us working at the intersection of design and technology, this is a reminder: the most important transformations aren’t the ones that make headlines. They’re the ones that build foundations that last.
Haider Ali is a Lead Digital Experience Design Architect at Aramco’s Saudi Accelerated Innovation Lab (SAIL) and author of Unfinished. His work explores the intersection of design, technology, and human experience, with a focus on building AI-powered systems that augment human capability rather than replace human judgment.
For more writing on design systems and intelligent interfaces, subscribe to User First Insight or explore Black & White. Connect on LinkedIn, follow on Medium, or visit haiderali.co and stayunfinished.com.
Read the original article: “Building the AI future”