The energy transition towards 2026 is advancing with determination, but it faces structural challenges. Geopolitical instability, price volatility, and a regulatory framework struggling to keep pace with innovation define the current landscape. Additionally, the intermittency of renewables, combined with a demand that does not always align with production peaks, causes phenomena such as negative prices and tensions in grid stability. This complexity forces investors to act with greater caution before committing capital to new projects.
To overcome these obstacles, the energy industry is exploring innovative solutions. Battery energy storage systems (BESS) are consolidating as key allies to reduce the intermittency of renewable energies and maintain a more stable grid. Although challenges persist, much of the sector believes these difficulties are temporary and part of the process toward a more sustainable and resilient model.
Meanwhile, digitalization is becoming the driving force behind the sector’s evolution. Tools such as artificial intelligence, big data analytics, and robotics allow for demand forecasting, optimized grid management, and improved infrastructure maintenance. The combination of these technologies, along with the growing expansion of energy-intensive data centers, points to a future where the energy system will be more efficient, flexible, and prepared for an increasingly interconnected world.
Artificial Intelligence is revolutionizing the renewable energy sector. Its market is projected to grow from $16.19 billion in 2024 to $158.76 billion in 2034, with a compound annual growth rate (CAGR) of 25.65%. This deployment not only optimizes generation but also transforms grid management and raises predictive maintenance to a new standard, ensuring more stable, efficient, and profitable infrastructures.
More and more companies in the sector are incorporating these solutions, aware that the combination of technology and clean energy is key to meeting the growing energy demand and addressing the challenges of climate change. Artificial Intelligence is establishing itself as a strategic ally, not only for producing and distributing energy more efficiently but also for building a more sustainable, connected, and resilient future.
1. Artificial Intelligence – From Prediction to Autonomy
- Siemens Energy (Argentina): AI to optimize energy in data centers and strategic nuclear projects.
- Schneider Electric (Resource Advisor+): AI platform for centralized energy management and decarbonization.
- Utilities in the U.S.: Predictive AI to reduce failures and improve efficiency in coal and gas plants.
- Wind farm in Texas: Machine learning for predictive maintenance, increasing efficiency and reducing costs.
2. VR / AR – Beyond Digital Simulation
- EON Reality: XR to train technicians in high-risk procedures, accelerating training and improving safety.
- Duke Energy: VR to simulate handling of hazardous materials, enhancing decision-making and operational coordination.
- Enel Green Power: Digital twins and VR for maintenance of renewable plants, reducing training time and optimizing costs.
- Chevron: Safe VR/AR to protect critical infrastructure through advanced industrial safety.
3. Robotics – Increasing Autonomy and Dexterity
- Engie (Brazil): Autonomous dry-cleaning robot for solar panels, reducing costs, saving water, and minimizing human risk.
- Luminous Robotics (U.S.): LUMI robot automates solar panel installation, increasing productivity, reducing risks, and optimizing costs.
- Civ Robotics: CivDot robot automates marking of solar plants with high precision, speeding up construction and freeing personnel for higher-value tasks.
- Leapting Technology: Autonomous solar installation robot positions modules with millimetric accuracy, multiplying productivity and reducing labor dependence.
- Aramco / Terra Drone: Drones for inspecting energy installations, improving accuracy, reducing time, and eliminating worker risks.
4. Big Data Analytics – Turning Data into Strategy
- Capalo AI: Platform that turns energy storage batteries into intelligent systems through predictive analytics and real-time optimization.
- PG&E Energy (U.S.): Big Data analytics and predictive models to improve electricity demand forecasting using advanced machine learning.
- Enzum (Estonia): Big Data platform that optimizes battery performance and maintenance through predictive analytics and machine learning.
- NextEra Energy (U.S.): Advanced analytics and energy forecasting to supply high-demand data centers with efficient and predictable generation.
5. Other Trends
- Material Hybrid Manufacturing: 3D printing of complete batteries to maximize energy density and adapt them to any device, including drones.
- Solargy: Solar + batteries + blockchain system enabling energy autonomy and decentralized renewable transactions.
- ABB: Automation and smart devices to optimize efficiency and resilience of data centers and critical grids.
- Lenovo: IoT sensors and AI to optimize HVAC systems, reducing energy consumption by up to 34% and corporate emissions.
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