Stock Markets April 24, 2026 10:51 AM

TD Cowen Survey Signals Accelerating AI Monetization, Leaders Poised to Benefit

Survey of 689 U.S. purchasing decision-makers shows broad GenAI use and improving ROI metrics, with enterprise SaaS and Microsoft among likely beneficiaries

By Nina Shah MSFT CRM NOW SAP
TD Cowen Survey Signals Accelerating AI Monetization, Leaders Poised to Benefit
MSFT CRM NOW SAP

A TD Cowen report based on a survey of 689 U.S. purchasing decision-makers finds GenAI deployment is already widespread but monetization remains limited. The research highlights high usage of Microsoft Copilot, Google Gemini and OpenAI's ChatGPT, rising upgrade intent for productivity suites, and improving ROI metrics that TD Cowen says support a more constructive view on enterprise SaaS vendors and Microsoft 365 revenue forecasts.

Key Points

  • GenAI use is widespread among surveyed U.S. purchasing decision-makers: 92% use at least one of Microsoft Copilot, Google Gemini or ChatGPT.
  • Positive ROI is being reported: 75% of respondents cited a positive return from AI agents, and large shares of Microsoft 365 and Google Workspace users plan to upgrade within 12 to 18 months.
  • Enterprise SaaS vendors, specifically Salesforce, ServiceNow and SAP, are identified as potential beneficiaries as AI monetization progresses; Microsoft 365 Commercial revenue CAGR forecast was raised to 15% through fiscal 2030 with a $105.6 billion revenue projection.

A TD Cowen analysis, drawing on survey responses from 689 U.S. purchasing decision-makers, indicates that generative AI (GenAI) is moving from experimentation toward commercial traction, and that market pricing may not fully reflect the revenue opportunity for incumbent enterprise software vendors.

The survey found that 92% of respondents reported use of at least one of the three leading GenAI providers: Microsoft Copilot (70%), Google Gemini (55%) and OpenAI's ChatGPT (53%). On average, companies reported deploying 2.6 AI agent vendors each, signaling multi-vendor adoption rather than exclusive, single-provider deployments.

Despite the breadth of deployment, TD Cowen notes overall monetization is still limited. The report, however, identifies signs of improving returns: 75% of respondents said they receive a positive return on investment from AI agents. In parallel, intent to expand paid productivity suites is notable, with 79% of Microsoft 365 users and 80% of Google Workspace users indicating they are somewhat or very likely to upgrade their suite subscriptions within the next 12 to 18 months.

The research is particularly constructive for enterprise software-as-a-service vendors. TD Cowen emphasized that the survey results "paint a more favorable AI monetization picture than what's being priced into stocks today, especially with Enterprise SaaS vendors." The firm specifically called out Salesforce, ServiceNow and SAP as companies likely to benefit if AI-driven monetization accelerates.

Horizontal AI agents - those that cut across business functions rather than being industry-specific - currently have the lowest adoption among agent types. Yet survey respondents rate horizontal agents highly for returns: 58% of users reported a 3x or greater return, the highest perceived ROI among agent categories captured by the survey.

On the trajectory for autonomous AI capabilities, the report projects a sharp increase in deployment. TD Cowen expects adoption to rise from 34% at present to 77% by the second half of 2027, more than doubling the current penetration rate according to its projection.

TD Cowen also revised its outlook for Microsoft 365 Commercial revenue, raising the compound annual growth rate forecast from about 13.5% to 15% through fiscal year 2030. The firm now projects Microsoft 365 Commercial revenue of $105.6 billion over that horizon.

The survey and subsequent analysis underline an inflection in both usage and willingness to pay among enterprise customers, with implications for sectors tied to productivity software and enterprise SaaS. The data indicates a movement from experimentation to monetization, but TD Cowen's conclusions remain grounded in the survey responses rather than in observed market outcomes to date.

Risks

  • Monetization remains limited despite broad adoption - reported ROI and upgrade intent may not immediately translate to material revenue growth, impacting enterprise software and SaaS revenue realization.
  • Current adoption patterns favor multiple AI vendors per company, which could dilute vendor-specific monetization if customers spread budgets across providers, affecting vendor funding mix and pricing power.
  • Projections for rapid autonomous AI deployment (from 34% to 77% by H2 2027) are forward-looking and dependent on execution and customer willingness to scale, creating uncertainty for companies planning investment and capacity in AI-driven offerings.

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