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How AI applies to the daily work of running events: the steps, the prompts, and the checks a person still has to make.
A Muse user says Meta's agent shared his address with a Marketplace buyer and then told the buyer he was home when he wasn't. Swap the keyboard for a dinner, and it is a checklist for every event team automating its guest messages.
Personal AI agents can now fill out forms, send invitations and make calls on people's behalf. For anyone who runs a guest list, the RSVP is about to mean less, and the check-in at the door is about to mean more.
Meta's 100-gram VR glasses and its Muse Charm AI gadget dominated the week. Here is what they mean for the people who run the room.
Revenue and funding show which sales AI products are being bought, not which ones work, so here is what a dozen of the most-reported tools do and where the skepticism belongs.
The best predictor of who belongs in your next room is who showed up to the last one, and AI earns its place only after you have done the CRM join yourself.
Gartner finds most sales organizations fail to reinvest the hours AI gives back, and event teams are about to run into the same problem with the same fix.
Most event teams use AI for the odd subject line, but the value sits in a handful of repeatable jobs, each with a prompt worth saving and a check a person still has to run.
AI can turn a guest list into a stack of one-page briefs in an afternoon, provided you feed it sources, keep it away from people's private lives, and never trust it with a job title.
CMOs now put 15.3% of marketing budgets into AI, and the field marketing share is best spent by starting from six jobs rather than vendor categories, with the least glamorous one, joining event data to the CRM, deciding whether the rest pay off.
AI can get event follow-up out in hours instead of days, but only if the specifics come from people who were in the room and the prompts refuse to write without them.
Most event professionals now use generative AI, but few say it has significantly improved their work, and the gap sits almost entirely in the parts of the job that happen between people.
Most AI event tools succeed or fail on data access and integration long before the model matters, so the demo is the wrong place to start the evaluation.
Agents are arriving in the CRM whether field marketers ask for them or not, and the useful near-term jobs are narrow, supervised and built on data the team already owns.
Only about one marketing team in seven is scaling AI, and a field marketing team can get past the pilot stage in one quarter by spending the first month on data, the second on two workflows and the third on proof.
The most valuable information in your company may already be trapped in your chat history.