378 Chatbots and AI agents are starting to merge, turning conversational AI from a question-answering tool into an action layer for the internet. The shift matters because users may soon ask a chatbot to research a hotel, compare options and complete the booking without opening multiple apps or websites. CMSWire notes that AI labs increasingly see the chat window as the place where discovery, decision-making and execution happen together. “We are busy bringing ChatGPT to Codex so that we can bring Codex to ChatGPT,” OpenAI engineer Thibault Sottiaux said, pointing to a future where coding agents and general-purpose chatbots converge. The business case is clear: whoever controls the AI assistant could control the customer journey. In customer experience, ecommerce, enterprise software and digital experience platforms, agentic AI could move users from search to transaction with fewer clicks and fewer handoffs. Gartner expects 33% of enterprise software applications to include agentic AI by 2028, up from less than 1% in 2024. It also predicts 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028. Trust remains the hard gate. Giving an AI agent access to email, payments, calendars, browser activity or trading decisions demands stronger permissions, audit trails and fail-safes than today’s chatbots provide. The takeaway: the next AI battle is not just over better answers. It is over who gets permission to act. You Might Be Interested In OpenAI Integrates Checkout Into ChatGPT, Redefining Ad Monetization Adobe turns agentic AI into a marketing workflow engine GAP brings AI into its owned marketing channels Redefining Marketing: Visa’s CMO on AI and Authentic Engagement JioHotstar moves from content discovery to commerce Google study finds millions use AI at work, but full job automation remains limited