AI betting is profitable under specific, measurable conditions: a genuinely calibrated model, consistent application of positive-EV discipline, a minimum 500-pick sample before evaluation, and access to odds before the market corrects. Under those conditions, published academic research and audited commercial systems show ROI in the 3–10% range on 1X2 markets in data-rich leagues. Under any other conditions — cherry-picked samples, post-hoc pick selection, or miscalibrated models — the answer is no.
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