Companies struggle to measure AI return on investment

A significant gap exists between corporate investment in artificial intelligence and the ability to demonstrate measurable financial returns. While adoption is widespread, many organizations are struggling to translate AI implementation into concrete productivity gains or revenue growth.

Reports indicate that a vast majority of managers have yet to see significant value from their AI investments. For instance, McKinsey data suggests that nearly 80 percent of companies using generative AI report little to no impact on financial results. Similarly, a TD SYNNEX report found that while 66 percent of IT partners are accelerating AI investments, only 21 percent are deriving significant revenue from them.

Challenges include high operational costs and difficulties in scaling pilot projects. Some major firms have reportedly faced massive budget depletion due to high token costs, with some engineers costing between 500 and 2,000 dollars per month. To combat this, experts recommend establishing clear baselines using operational data and moving beyond mere experimentation toward systematic evaluation of benefits versus costs.