82% of Companies Are Seeing Positive AI ROI

Quick Overview

The AI ROI Benchmarking Study results indicate that 81.8% of AI users report positive ROI, with 36.9% seeing significant or transformational impact, and 95.7% expecting future improvements, although Time Savings is the most common benefit (34.3% of use cases), it paradoxically correlates with lower overall ROI compared to strategic benefits like Improved Decision Making (+0.20 current lift) and New Capabilities (+0.21 current lift).

Key Points: 81.8% of AI users report achieving positive ROI, while 36.9% report significant or transformational ROI. The most common primary benefit cited for AI use cases is Time Savings (34.3%), followed by Quality Improvement (15.0%) and Increased Output (14.2%). Organizations with only one benefit type reported a Mean ROI of 3.13, which increases significantly to 3.65 for those achieving ROI across eight benefit types, demonstrating that systems thinking leads to higher returns. Smaller organizations (1-50 employees) report the highest percentage of use cases (44.4%) and the highest Mean ROI by organization size (3.49), indicating nimbleness offers an advantage. The study reveals a 'Time Savings Paradox': while time savings is the most common benefit, focusing solely on it leads to lower overall ROI than focusing on 'strategic' benefits like Improved Decision Making (+0.22 anticipated lift) and Increased Revenue (+0.25 anticipated lift). Across all use cases, AI saves users an average of 7.5 hours per week, equivalent to reclaiming nearly two months of work each year. Creative Generation (52.9%) and Code/Technical assistance (30.1%) are the most frequently reported 'New Capabilities' enabled by AI.

Context: This video presents the results of the AI ROI Benchmarking Study conducted by AIDB Intelligence, which gathered data from 1,243 unique respondents across 5,125 use cases collected since November 2024. The study aims to provide benchmarks for business AI decisions by quantifying ROI across various benefit categories, organizational sizes, and roles, ultimately illustrating the growing impact and maturity of AI adoption in the enterprise.