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ATLANTA, Georgia, August 2026 — Artificial intelligence is moving rapidly from experimentation into everyday event work as planners look for practical ways to reduce administrative tasks, access event information faster, and manage increasingly complex programs.
Recent industry research demonstrates just how quickly adoption has accelerated. The Meeting Professionals International (MPI) Q1 2026 Meetings Outlook found that 70% of event professionals regularly use generative AI, compared with 43% in 2025 and just 22% in late 2023.
Yet adoption does not necessarily mean mastery.
The same research found that only 8% of event professionals rated their ability to use AI to deliver meaningful experiences and events as “excellent,” while another 25% rated themselves as “good.”
For InEvent, the gap between those numbers points to one of the most important AI conversations facing the events industry: the next stage of adoption is less about whether event professionals use AI and more about what they can actually accomplish with it.
“AI has moved very quickly into the everyday toolkit of event professionals,” said the InEvent team. “The opportunity now is to make it useful beyond isolated tasks. Event teams need technology that can help them work with the information, workflows and decisions already involved in delivering an event.”
Much of the first wave of generative AI adoption centered on content.
Event professionals could use AI to brainstorm themes, draft emails, summarize information, create session descriptions, or accelerate other writing-intensive tasks.
Those applications remain valuable, but the operational opportunity is expanding.
Registration setup, attendee information, session changes, reporting, event communications, and performance data all involve significant amounts of information that teams need to find, understand, and act on quickly.
AI can increasingly serve as an interface between event professionals and that work.
Instead of only asking AI to draft an attendee email, for example, the next question becomes whether an event professional can use natural language to understand registration activity, retrieve relevant event information, or make supported changes without navigating multiple systems and dashboards.
That represents a meaningful shift from AI as a content assistant to AI as part of the event operating environment.
For AI to become genuinely useful operationally, however, it needs access to the right context.
An AI assistant cannot meaningfully answer a question about registration performance, session capacity, or attendee activity if the relevant event information remains disconnected from it.
That challenge is shaping how event technology companies approach AI.
InEvent recently introduced InEvent MCP, using Model Context Protocol to allow event professionals to connect InEvent with supported AI assistants such as ChatGPT, Claude and Microsoft Copilot and interact with event information using natural-language requests.
The development reflects the broader movement toward making AI useful inside existing workflows rather than requiring event teams to adopt another isolated interface.
InEvent has also applied conversational AI to registration. Its AI Registration Assistant allows organizers to create and modify registration fields, sections, answer options, and conditional form logic through natural-language instructions.
These capabilities are examples of a broader direction rather than the trend itself: AI is beginning to participate in the work around an event, not simply the content created for it.
The rapid increase in AI adoption suggests that familiarity is no longer the industry's biggest barrier.
The more difficult question is whether that usage translates into better event operations.
For an enterprise event team, practical value may mean reducing the time required to build complex registration journeys, finding an important piece of event information without another export, understanding what changed across an event, or reducing repetitive administrative work when teams manage multiple programs simultaneously.
It may also mean giving event professionals more time for the parts of their work that remain distinctly human: strategy, creativity, judgment, relationship building, and designing experiences audiences genuinely want to attend.
MPI's findings make that distinction particularly important. Moving from 22% regular generative AI usage in late 2023 to 70% in 2026 represents enormous adoption in a relatively short period. But with only 8% describing their ability to apply AI to meaningful event experiences as excellent, substantial room remains between access and effective application.
That gap is likely to define the next stage of AI adoption across events.
The question for event teams is no longer simply, “Are we using AI?”
It is increasingly, “What work is AI helping us do better?”
InEvent is an enterprise event technology platform that helps organizations plan, manage, and scale in-person, hybrid, virtual, and webinar experiences worldwide. InEvent supports event registration, attendee management, onsite operations, engagement, networking, analytics, integrations, and AI-powered event management for modern enterprise event programs.
