Written By Roy Denish.
AI in cricket is transforming scouting, player analysis and decision-making while raising new questions about technology and human judgement.
While the idea of humanoid robots bowling the perfect doosra or running matches entirely on algorithms belongs to a distant future, artificial intelligence is already fundamentally altering the landscape of professional cricket. Rather than replacing players, coaches, or analysts, AI functions as a powerful force multiplier, allowing experts to process information faster and uncover hidden insights.
In talent development, platforms such as EquiPlay are using AI to standardise youth assessments and track player progression across county pathways. This data-driven approach helps make scouting fairer by exposing hidden biases related to socioeconomic background or schooling, ensuring young talent does not slip through the cracks unnoticed. Meanwhile, elite analysts rely on advanced models to map out opposition weaknesses, pitching tendencies, and risk assessments, leaving the vital final execution to human skill and intuition.
Yet this rapid integration of technology raises pressing questions about authenticity across both the sport and its coverage. Just as automated umpiring flirts with the boundary between assistance and substitution, automated writing risks homogenising the storytelling of the game. Cricket’s ultimate defence against total digitisation remains its inherent unpredictability, human drama, and the irreplaceable connection between players and fans.
This rewritten piece is based on original reporting by Daniel Gallan for The Guardian.
