Dresner Research Finds 18% Average Return on AI Investment

Sep 23, 2026
Five Dresner Advisory Services reports examine AI platforms, ModelOps, enterprise scaling, market conditions, and agentic AI adoption.

Dresner Advisory Services published five reports on enterprise AI usage, platforms, operations, and scaling, according to a company press release. Its AI Development Platforms study found that organizations report an average return on AI investment of 18%.

The research says AI platforms increasingly combine models, tools, data, and policies into systems that execute workflows. Dresner expects aggregate returns to grow more slowly as early gains from generative AI, coding with AI, and simple agent based task automation become harder to repeat.

The ModelOps study found that growth in agentic AI is increasing demand for model oversight, management, and adaptation. Other reports in the series examine how organizations can align platform architecture with internal capabilities, manage risks, and assess AI maturity across analytical, generative, and agentic systems.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.