AI ROI Calculator
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.
Cost Inputs
Labor Savings
Additional Benefits (Optional)
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Is Your AI Investment Worth It?
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.
Understanding AI Return on Investment
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%Why Calculate AI ROI?
Budget Justification
CFOs and executives require ROI projections before approving AI budgets. Quantify expected returns to secure funding.
Vendor Comparison
Compare different AI solutions (build vs buy, different providers) on a total cost of ownership basis.
Prioritization
With multiple AI use cases, ROI analysis helps prioritize which projects to pursue first for maximum impact.
Post-Implementation Review
Track actual vs projected ROI to improve future estimates and identify optimization opportunities.
How to Use This Calculator
Frequently Asked Questions
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.