Estimate ROI for AI and machine learning projects. Calculate costs, labor savings, revenue impact, and payback period for your AI investments based on McKinsey research benchmarks.
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According to McKinsey's 2025 State of AI report, only 39% of organizations see enterprise-wide EBIT impact from AI, yet high performers achieve 5%+ EBIT contribution. Our AI ROI Calculator helps you estimate whether your AI implementation will deliver positive returns based on labor savings, revenue impact, and error reduction.
AI ROI measures the financial return generated by AI investments relative to their costs. Unlike traditional software ROI, AI projects have unique cost structures (API tokens, compute, training) and benefit patterns (productivity gains compound over time, but require adoption curves).
ROI Formula
ROI = (Total Benefits - Total Costs) / Total Costs × 100%CFOs and executives require ROI projections before approving AI budgets. Quantify expected returns to secure funding.
Compare different AI solutions (build vs buy, different providers) on a total cost of ownership basis.
With multiple AI use cases, ROI analysis helps prioritize which projects to pursue first for maximum impact.
Track actual vs projected ROI to improve future estimates and identify optimization opportunities.
Based on McKinsey research, successful AI implementations typically see 100-300% ROI over 2-3 years. However, this varies widely by use case: customer service automation often sees 200%+, while analytics projects may see 50-150%. A project with positive ROI (>0%) is generally worth pursuing if it aligns with strategic goals.