AI shifting to agents

The AI business is shifting from chatbots that answer questions to agents that finish jobs inside the software people already use. (openai.com) An agent is a system that can plan steps, call tools, keep state, and complete multi-step work instead of stopping after one reply. OpenAI now describes its Responses API and Agents SDK as infrastructure for those agent-style applications, with built-in tools such as web search, file search, and computer use. (openai.com, developers.openai.com) Microsoft is making the same pitch inside office software. Its Copilot Studio documentation says autonomous agents can watch for triggers, make decisions, and run workflows in the background, while Microsoft markets the product as a way to connect agents to business data and publish them across work channels. (learn.microsoft.com, microsoft.com) Anthropic has also pushed beyond chat windows. The company’s computer-use research trained Claude to operate ordinary software interfaces, and its Claude Cowork product is pitched as an agent for research synthesis, document preparation, and file management rather than a chat assistant. (anthropic.com, anthropic.com) That change is showing up in industry surveys. McKinsey’s 2025 State of AI report said 62% of respondents were at least experimenting with AI agents, 23% said their organizations were already scaling an agentic system somewhere in the business, and only 39% reported enterprise-level earnings impact from AI. (mckinsey.com) The same McKinsey research said workflow redesign had the biggest effect on whether companies actually saw earnings gains from generative AI. In other words, the bottleneck is less about squeezing out another model benchmark and more about wiring AI into email, documents, customer records, approvals, and handoffs. (mckinsey.com, mckinsey.com) That helps explain why current agent coverage is clustering around bounded tasks instead of open-ended artificial general intelligence claims. A recent roundup of active projects pointed to products such as Dune, Pegasus 1.5, Claro, Wispr Flow, and Fathom 3.0, with the focus on automation, memory, and productivity work. (youtube.com) Some of those tools are narrow by design. Wispr Flow, for example, sells itself as voice-to-text software that works across apps, while agent platforms from OpenAI and Microsoft emphasize tool access, state, and connections to outside systems rather than a single chat box. (wisprflow.ai, developers.openai.com, microsoft.com) The commercial test now is whether an agent can be trusted to finish a meeting follow-up, update a customer record, draft a document, or move data between systems without breaking the workflow. The companies getting attention are the ones building those connections, not just shipping a smarter prompt box. (learn.microsoft.com, openai.com, mckinsey.com)