Wedbush Flags Missing ROI Metrics Blocking Enterprise AI Adoption

PYMNTS, citing a Seeking Alpha investor note summarizing conversations at Wedbush Securities' Disruptive Technology Conference, reports that Wedbush analysts flagged a widespread absence of ROI metrics for enterprise AI deployments. The report says conference discussions and the investor note found many companies ran AI pilots without a framework to gauge success, making it harder to justify follow-on investment, per PYMNTS. The investor note includes a direct quote attributed to Dan Ives: "Many executives noted that customers are feeling increased pressure from their boards and CFOs to demonstrate actual returns from AI, and the inability to answer this question presents a real barrier to additional investments in long-term technological buildouts."

Companies implementing AI without defined ROI metrics typically face problems linking model outputs to business KPIs, instrumenting data pipelines for measurement, and maintaining reproducible evaluation workflows. Teams that prioritize A/B testing, counterfactual evaluation, and experiment tracking tend to produce clearer business-case signals than teams that treat pilots as proofs of concept only.

PYMNTS also references a PYMNTS Intelligence survey (self-reported by the publisher) that found more than 80% of enterprise executives expect generative AI investments to take three to 10 years to show positive returns. For procurement, budgeting, and board-level governance, an inability to present measured outcomes can constrain further spending and slow scaling of AI projects across organizations.

Observers should track whether enterprises adopt standardized ROI frameworks, such as metric taxonomies tying models to revenue/cost KPIs, expanded use of feature- and model-level observability tools, and increased demand for third-party validation. Industry analysts and vendors will likely publish frameworks and tooling to close the measurement gap; PYMNTS reports and subsequent investor notes may document uptake and early case studies.