Fast Company Lists 20 Ways to Measure AI Initiative ROI

As companies rapidly adopt artificial intelligence, measuring the tangible return on these investments remains a critical challenge. Fast Company has compiled insights from 20 experts on how to effectively assess the ROI of AI initiatives, aiming to move beyond the hype and identify genuine business value.

A recurring theme among the experts is the importance of focusing on measurable business outcomes rather than simply tracking AI usage or output volume. Eric Simons of Bolt.new emphasizes that the true benchmark for AI is its ability to deliver specific, measurable results at a sustainable cost. He notes that advanced AI models do not automatically equate to greater business value.

Many contributors, including Khozema Shipchandler from Twilio, advocate for measuring AI's impact against standard business objectives. The focus should be on whether AI augments teams, accelerates innovation, or enhances security. Michele Walsh of UNICEF USA highlights the necessity of evaluating AI's value against potential risks, such as child safety and privacy, alongside its broader reach.

Thomas Scott from Wrike suggests categorizing AI initiatives into stages—advanced, maturing, emerging, and nascent—and tracking their progression toward defined goals. He cautions that AI usage and token consumption are poor indicators of ROI. Instead, the emphasis should be on how AI contributes to concrete business benefits, such as increased engagement and time savings that can be redirected to more strategic tasks, as pointed out by Jacqui Canney of ServiceNow.

The article provides a comprehensive overview of various metrics, underscoring that AI's true value is realized when it directly supports strategic business objectives and improves key performance indicators. Simply adopting the technology or measuring its speed is insufficient to demonstrate success.