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ATLANTA, Georgia, September 2026 — Event professionals are adopting artificial intelligence at record speed. Their confidence in using it effectively is telling a different story.
New data from Meeting Professionals International's Q1 2026 Meetings Outlook shows that 70% of event professionals surveyed now use generative AI regularly, compared with 43% one year earlier and just 22% in late 2023.
Yet only 8% rate their ability to use AI to deliver meaningful experiences and events as excellent, with another 25% rating their ability as good. More strikingly, those capability ratings have declined from the previous year even as regular AI usage has surged.
The numbers point to an important distinction for the events industry: access to AI is no longer the primary challenge. Knowing where, when, and how to use it effectively may be.
For InEvent, that gap between adoption and readiness is becoming one of the defining questions surrounding AI-powered event management.
“Event professionals do not need AI simply because AI is available,” said Pedro Góes, CEO and Co-Founder of InEvent. “They need it to make difficult work easier, help them understand what is happening faster, and give them more time for the decisions that require human judgment. Adoption tells us people are experimenting. Readiness tells us whether that experimentation is becoming useful.”
The first stage of generative AI adoption in events was relatively accessible.
Draft an attendee email. Rewrite a session description. Brainstorm an event theme. Summarize meeting notes. Generate social copy.
These tasks helped event teams become comfortable with AI without requiring the technology to understand the event itself.
The next stage is considerably more demanding.
An organizer asking AI to summarize registration performance needs the answer grounded in actual registration data. A team using AI to identify attendance patterns needs confidence in the information being analyzed. An event professional asking an assistant to change something operational needs to know what the system is permitted to access and what happens before an action is executed.
The difference is significant.
Writing with AI requires a prompt. Operating with AI requires context, connected systems, permissions, and judgment.
That may help explain why rapidly increasing adoption has not automatically produced equally rapid confidence.
The industry has become familiar with AI faster than it has established the processes required to use it consistently across real event operations.
For event organizations, becoming AI-ready is therefore unlikely to mean purchasing the greatest number of AI-powered features.
It means understanding where AI genuinely improves the work.
Some applications are relatively straightforward. AI can help teams process large volumes of information, identify patterns in survey responses, accelerate repetitive content work, or make existing data easier to interrogate.
Other applications carry greater consequences.
An incorrect session description can be edited.
An incorrect answer about registration, an unintended operational change, or inappropriate access to attendee information can create a much larger problem.
That means event teams need to think about data quality, permissions, human oversight, and workflow design alongside the technology itself.
There is also a practical question of effort.
If an event professional spends longer preparing, correcting and verifying an AI-generated result than completing the task manually, the organization may have adopted AI without actually improving productivity.
The measure of AI maturity should therefore not be how frequently teams use it.
It should be whether the technology reliably reduces unnecessary work, improves access to useful information or helps people make better decisions.
That shift is also influencing how InEvent is developing AI across its event technology platform.
InEvent's Model Context Protocol (MCP) integration is designed to connect supported AI assistants with actual event information, moving conversational AI beyond generic knowledge toward event-specific questions and supported actions.
The company has also expanded AI Reports to the company level, giving organizations new ways to investigate information across multiple events rather than analyzing every program independently.
InEvent is separately testing a Knowledge Graph capability designed to help organizations understand how content and topics are used across their events. The capability remains in limited testing and is not yet generally available.
The common thread across those developments is context.
AI becomes more operationally useful when it understands the information relevant to the task instead of requiring an event professional to continually copy, export and explain that information manually.
But better context does not eliminate the need for human judgment.
It makes the relationship between the professional and the technology more important.
“AI should not make event professionals spectators in their own workflows,” Góes added. “The strongest use cases are the ones where technology handles complexity or repetition while the professional remains responsible for the judgment, creativity and relationships that make the event matter.”
That distinction may become increasingly important as AI capabilities spread across event technology.
The competitive question will eventually become less about whether a platform contains AI. Most will.
The more useful questions will be whether the AI understands the right information, whether teams can trust how it is being used, whether it fits naturally into their work, and whether it produces an outcome that is meaningfully better than the process it replaced.
For event leaders, that suggests a different way to measure progress.
Do not count AI tools. Measure the work they improve.
The rapid increase in AI adoption shows that event professionals are ready to experiment.
Closing the gap between experimentation and readiness will determine how much of that technology ultimately becomes part of the way successful events are actually run.
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.
