software PM market analysis — 2026-08-18
Enterprise software demand is tilting toward AI systems that can carry out governed, multi-step work rather than single-task automation, but the shift is proceeding unevenly. Ability.ai frames the core obstacle as an adoption gap driven by governance requirements, while IBM points to workflows involving unstructured information and repeated human intervention as the more realistic starting point for agentic deployments, rather than fully autonomous processes.
Spending on corporate AI is accelerating, according to ETCIO, though the earnings benefit tied to that spending remains hard to observe outside infrastructure providers. Deloitte’s enterprise research describes current programmes as being justified mainly through productivity, cost control and customer-experience goals, with revenue growth treated as a secondary outcome for now.
Read together, the sources describe a market still working out where agentic software can be trusted with production workflows. Integration across existing enterprise tools, plus the presence of auditing, permissions and oversight layers, appear to be gating adoption separately from the underlying capability of the models themselves.
Worth Tracking
- Operational proof pointsWhether vendors can show durable efficiency or service-quality gains beyond pilot deployments.
- Governance and oversight layersAuditability, permissions and human oversight will shape which agentic workflows reach sensitive production use.
- Integration reliabilityConnecting agents across existing enterprise applications may prove as decisive as model capability.
This analysis was generated automatically and is for information only — not financial advice.