Vox's Future Perfect staff, along with other experts, released their predictions for major global events in 2026, assigning probabilities to each forecast to reflect their confidence levels. The predictions, the seventh annual effort by the group, leaned towards a pessimistic outlook, addressing issues ranging from the stability of U.S. electoral democracy to the potential for a global recession.

The forecasts included concerns about the possibility of military conflict over Taiwan, the expansion of bans on lab-cultivated meat in the United States, and the likelihood of a Category 5 hurricane striking the U.S. mainland. More culturally specific predictions, such as the potential release of a rock album by Beyoncé, were also included, albeit with a more subjective assessment of their potential impact.

The practice of assigning probabilities to predictions is intended to promote "epistemic honesty," according to Vox, encouraging transparency about the uncertainty inherent in forecasting future events. This approach aligns with a growing trend in geopolitical analysis and risk assessment, where quantitative methods are increasingly used to evaluate potential future scenarios.

The predictions reflect anxieties about the confluence of political, economic, and environmental challenges facing the world. Concerns about the health of democratic institutions are widespread, particularly in the context of rising populism and political polarization observed in numerous countries, including the United States, several European nations, and parts of Latin America. Economic forecasts are similarly clouded by uncertainty, with factors such as inflation, supply chain disruptions, and geopolitical instability contributing to concerns about a potential global recession. The increasing frequency and intensity of extreme weather events, linked to climate change, further compound these anxieties.

The Future Perfect project aims to provide readers with a framework for understanding and preparing for potential future developments, acknowledging the inherent uncertainties while offering informed perspectives on the challenges and opportunities that lie ahead. The staff indicated that they try to avoid random guessing and provide context for each prediction.