A lack of consensus on what defines an AI “agent” is leading to customer frustration, as Microsoft, OpenAI, Salesforce, and others market it differently
Silicon Valley is bullish on AI agents. OpenAI CEO Sam Altman said agents will “join the workforce” this year.
Context & Ripple Effects
The category was already being embedded in enterprise software, including Microsoft’s new Dynamics 365 agents for functions such as sales and finance. At the same time, investor and vendor interest positioned agents as a route to monetizing AI models, raising the stakes for a label that buyers can evaluate consistently.
The disagreement is therefore not merely semantic: it sits between broad product marketing and enterprise procurement. Later coverage of Microsoft’s proposed open agent-control specification shows why more explicit, shared ways to describe agent capabilities became consequential.
First-order effects
- Enterprise customers face a harder buying and deployment decision: products carrying the same “agent” label may imply materially different autonomy, scope, and operational requirements.
- Microsoft, OpenAI, Salesforce, and peers must explain their products’ boundaries more precisely or risk customer distrust when marketing claims cannot be compared cleanly.
Second-order effects
- Procurement and systems-integration teams are likely to demand clearer capability definitions, controls, and accountability before connecting agents to business workflows.
- The ambiguity favors vendors that can tie agent claims to concrete workflow outcomes, especially as reported use has centered on efficiency and cost reduction rather than top-line growth.
Third-order effects
- If competing definitions persist, the agent market could fragment into vendor-specific product categories, making interoperability and cross-vendor evaluation more difficult.
- The pressure for common terminology and control layers should increase; open standards can reduce confusion, but may also become a new arena for vendors to shape the market’s rules.
The trend: AI agents are moving from an attention-grabbing AI label toward an enterprise software category whose adoption depends on definable capabilities, controls, and measurable economics.