At the close of 2025, the Future Perfect team at Vox revisited 25 forecasts made at the beginning of the year, finding 19 predictions came to fruition while four did not. The annual exercise, conducted by Bryan Walsh, Dylan Matthews, Marina Bolotnikova, Dylan Scott, Izzie Ramirez, and Kenny Torrella, assessed the accuracy of predictions across various sectors, including technology, politics, and economics.

The team assigned probabilities to each forecast, reflecting their confidence level. A prediction with a probability greater than 50 percent was considered a "correct call" if it proved accurate. Conversely, a prediction with a probability below 50 percent was deemed correct if it did not occur. This methodology provided a clear framework for evaluating the year's forecasts.

According to the report, the successful predictions included advancements in AI-driven personalized medicine and the continued growth of renewable energy adoption. The rise of sophisticated AI algorithms capable of analyzing individual genetic data allowed for the development of tailored treatment plans, leading to improved patient outcomes in specific disease areas. This development highlights the increasing role of AI in healthcare, raising ethical considerations regarding data privacy and algorithmic bias, issues that experts are actively addressing through the development of robust regulatory frameworks.

In the energy sector, the predicted increase in renewable energy sources was driven by declining costs and supportive government policies. Solar and wind energy continued to gain market share, contributing to a reduction in carbon emissions. However, the report noted that the transition to a fully renewable energy system still faces challenges, including the need for improved energy storage solutions and grid infrastructure upgrades.

Among the incorrect predictions was the anticipated breakthrough in nuclear fusion technology. While significant progress was made in the field, a commercially viable fusion reactor remained elusive. The complexities of achieving sustained fusion reactions and the high costs associated with research and development continue to be major hurdles.

Another inaccurate forecast involved the projected adoption rate of autonomous vehicles. Despite ongoing advancements in self-driving technology, widespread consumer adoption was slower than expected. Concerns about safety, regulatory uncertainty, and the high cost of autonomous vehicles contributed to the delay.

The Future Perfect team acknowledged the inherent difficulty in predicting future events, particularly in a rapidly changing world. Unforeseen circumstances, such as geopolitical events or technological disruptions, can significantly impact outcomes. The team emphasized the importance of continuous learning and adaptation in the face of uncertainty.

Looking ahead, the team plans to refine its forecasting methodology and incorporate new data sources to improve accuracy. They also intend to focus on emerging trends and potential disruptions that could shape the future. The annual forecasting exercise serves as a valuable tool for understanding the complex dynamics of the world and informing decision-making in various sectors.