AI "Time Machine" Reveals Wind and Solar Growth Align with 2°C Climate Target but Fall Short of 1.5°C Goal

A new AI model from Chalmers University shows wind and solar are on track for the 2°C climate target but require a massive surge to reach the 1.5°C limit.

By: AXL Media

Published: Apr 14, 2026, 11:44 AM EDT

Source: Information for this report was sourced from EurekAlert!

A New Framework for Renewable Projections

Predicting the expansion of renewable energy has historically been a challenge for climate scientists, as rapid cost declines often clash with infrastructure constraints and shifting political landscapes. To address this, researchers at Chalmers University of Technology in Sweden have introduced a computational "time machine." This AI-driven model moves away from traditional smooth "S-curve" assumptions, instead accounting for the reality that renewable growth often occurs in sudden, policy-triggered bursts. By training a machine learning algorithm on 13,000 "virtual worlds," the team has created a probabilistic forecast based on actual national experiences across more than 200 countries.

The Probable Future of Global Electricity

The model’s central projection indicates that by 2050, onshore wind will likely supply approximately 25% of global electricity, while solar power will reach roughly 20%. According to lead author Avi Jakhmola, these figures are consistent with international pathways designed to limit global warming to 2°C. However, they fall below the thresholds necessary to hit the 1.5°C target. The study also provides context for the COP28 pledge to triple renewable capacity by 2030; the researchers found that such a feat lies in the 95th percentile of their model, meaning it would require growth rates rarely observed in historical data.

The Closing Window for 1.5°C

While the 1.5°C goal remains mathematically possible, the Chalmers study emphasizes that the window for action is narrowing rapidly. If global acceleration begins immediately, the required growth rates would be demanding but comparable to current ambitious targets in the EU and India. However, if significant scaling is delayed until 2030, the model suggests the necessary acceleration would become so steep and abrupt that it may no longer be feasible. Jessica Jewell, Professor at Chalmers, notes that providing decision-makers with a "realistic baseline" rather than just aspirational targets is essential for effective policy planning.