What if machines do not read the future, but merely calculate its most plausible paths ?

From weather forecasting and medical risk assessment to energy management and financial markets, predictive algorithms increasingly influence important decisions. Their power is real : they process immense datasets, detect patterns invisible to humans, and update probabilities at extraordinary speed. Yet their outputs remain dependent on the past, the quality of the data, and a world that can change without warning.

This book clearly explains algorithmic prediction, artificial intelligence, machine learning, and probabilistic models. It examines practical successes in weather, healthcare, and energy while exposing the limits created by crises, rare events, social bias, feedback loops, and human behavior.

Accessible, evidence-based, and future-oriented, Can Algorithms Predict the Future ? moves beyond the myth of the digital oracle to reveal what machines can genuinely anticipate and what must remain a human judgment.