Harnessing the metrics and return on business investment with AI in 2026 and beyond

Companies in 2026 are moving beyond simple AI experimentation to "show me the money" metrics, with successful firms focusing on a blend of direct financial returns, operational efficiency, and long-term strategic value.  As AI, Gen and Agentic AI become mainstream company technology tools. CFOs and C Suite executives are under pressure to show a tangible return on investment.

Three years after artificial intelligence went mainstream with the release of ChatGPT, executives say their companies have yet to see a dramatic financial return from investments in AI technology. The Forbes Research 2025 AI Survey found that less than 1% of the 1,075 C-suite members polled had seen a significant ROI.

The primary metric they use to measure ROI is improved operational efficiency (64%), which encompasses factors such as reduced cycle time and increased throughput. That's followed by data quality improvements (50%) and employee productivity gains (48%). However, given that the vast majority of executives surveyed say AI is delivering positive impacts in enhanced decision-making (85%), operational efficiency (84%) and better product and service quality (81%), why is the reported ROI so low?

One answer may lie in how ROI is calculated; more than a third (39%) of global executives report that measuring ROI and business impact is one of their primary challenges. CFOs are targeted on pure financial value, whilst other departments will look at efficiencies and time saved. Is the problem not the ROI but that there is no unified and agreed metrics measurement. Are new silos are being created?. Price Waterhouse Coopers has reported that only 20% of companies are capturing 74% of all AI-driven value.

Future-oriented organizations are also incorporating AI’s intangible benefits in their ROI calculations. These are capabilities that have a less direct impact on the organization’s bottom line. But they still offer valuable ways to measure AI’s payback:

Accuracy. With the benefit of reducing errors, an AI platform designed for professional use cases can generate outputs with proven reliability. Moreover, thanks to AI-powered automation, they can be generated at high speed.

Client experience. Clients are constantly demanding more from their professional services providers. Organizations using AI strategically can deliver work as clients need it. They can also introduce new services that can add business value to both the client and the organization.

Decision quality. By analyzing large volumes of data and quickly identifying relevant information and optimal solutions, AI can strengthen strategic decision-making and enhance the expertise of professionals.

Talent retention. AI can demonstrate measurable benefits to an organization’s ability to attract and retain high-quality professionals. It can help them improve their work-life balance by relieving them of tedious manual work. Additionally, AI-powered learning programs can accelerate their training and skills development.

According to the Future of Professionals Report, professional organizations can achieve the greatest ROI by engaging four layers in an AI adoption roadmap.

Every company with AI ambitions consider the return on investment of Artificial intelligence to be I there top three priorities In 2026/2027.