top of page
Search

What Gartner's 2026 Predictions Actually Mean If You Run Events

Gartner just released their mainstream marketing predictions for 2026, and if you work in exhibitions or conferences, a few of them are worth your time. Some land firmly in retail territory and the events industry can watch from a safe distance. But three of them are close enough to home that ignoring them would be a mistake.






The Gartner Predictions


Marketing Prediction 1

By 2028, 60% of brands will use agentic AI to facilitate streamlined one-to-one interactions, collapsing channel-technology architectures and redefining customer journeys.


Marketing Prediction 2

By 2027, brands will allocate 50% of their influencer marketing budget to content and creator authenticity initiatives to optimise engagement and monetisation in AI search environments.


Marketing Prediction 3

By 2028, 50% of CMOs will shift to a fully composable marketing organisational structure, with AI-dependent teams working in a self-reliant resource ecosystem.


Marketing Prediction 4

By 2028, 30% of consumer brand experiences will be delivered through ambient smart devices, fundamentally reshaping brand engagement strategies.


Marketing Prediction 5

By 2030, less than 10% of e-commerce revenue will originate from GenAI-powered shopping tools for consumer use (including those housed on B2C brand-owned platforms and those housed within GenAI platforms), due to limited adoption.


Here's what they actually mean for events marketers...


The prediction that names your team restructuring problem

Gartner's third prediction is that by 2028, 50% of CMOs will shift to a fully composable marketing structure, with AI-dependent teams working in what they're calling a "self-reliant resource ecosystem." Strip the language back and what they're describing is the end of the traditional specialist team. The model where one person owns email, one owns social, one owns content, and a manager tries to hold it all together is breaking down faster than most marketing leaders expected.


The data point worth sitting with: 62% of CMOs say AI-driven automation has already forced them to rethink which roles in their team are essential. Not "will force." Already has. And 49% say they need to make significant changes to team composition within the next two years.


If you're a marketing director at an organiser right now, that's not an abstract statistic. That's your next restructure conversation, probably sooner than feels comfortable. You're being asked to rebuild a function you're simultaneously running, with tools that didn't exist two years ago, while the campaign calendar doesn't pause.


What Gartner also identifies (and this is the part worth holding on to) is the three skills they predict will matter most for marketing teams two years from now: strategy, critical thinking, and digital dexterity. Not execution skills. Not platform skills. The ability to think clearly about what you're trying to achieve and why, which is exactly what gets squeezed out when teams are buried in tactical delivery.


The composable structure Gartner is describing isn't new for everyone. It's essentially how lean, senior-led external models already work: defined deliverables, strategic focus, knowledge transfer built in. The difference is that in 2026, more internal teams are going to need to find that kind of support to make the transition without losing two years of momentum in the process.


Gartner Level of agreement regarding impact of AI on marketing roles


The prediction that reframes your content problem entirely

Prediction two is the one every event marketer should read properly, because the surface-level interpretation (brands should invest in authentic creator content) undersells what's actually happening.


Gartner found that the share of social content at the top of search results more than doubled in the past year, from 11.2% to 21.7%. AIO sources now make up the majority of the top three organic search results. And by 2027, they're predicting brands will allocate 50% of their influencer marketing budget to content authenticity and creator verification initiatives.


The reason is this: AI-generated content has flooded the internet to the point where search algorithms are now actively rewarding content that signals it's genuinely human in origin. Verified, authentic, socially-originated content is getting prioritised while generic, brand-produced promotional copy is losing ground.


Apply that to event marketing specifically. The content most organisers produce about their events is written from the event outward. Here's the agenda, here's the speaker lineup, here's why you should attend. It's promotional, it's brand-first, and increasingly it's the content that search is learning to deprioritise.


The content that will perform is the speaker's post about why they agreed to keynote. The returning exhibitor's LinkedIn update about what they closed last year. The editorial piece from a journalist who actually attended. Your attendees and your speaker community are your most powerful search asset in this environment, and most event marketing strategies are still treating them as an afterthought.


This isn't a minor channel shift. It's a fundamental reordering of where discovery happens and what drives it. The events that figure this out first will be significantly harder to compete with.



The reassuring one (and why it matters more than it sounds)

Prediction five is the most counterintuitive finding in the report and the most useful one for anyone in the events industry feeling anxious about what AI will do to attendance models.


Gartner's prediction: by 2030, less than 10% of e-commerce revenue will come from GenAI-powered shopping tools, because consumer adoption will remain limited. The headline reason is trust. Consumers simply don't believe AI agents will make decisions that serve their interests. Even among the most AI-positive consumer segment, only 54% say they'd allow AI to complete a purchase automatically.


The parallel for events is direct. Deciding to register for a conference, commit to exhibition space, or sign a sponsorship agreement are not low-consideration purchases. They're high-stakes, relationship-influenced decisions that involve multiple stakeholders, significant budget, and real professional risk. Those decisions are not going to be automated. What drives them is trust, peer recommendation, editorial credibility, content that makes the case clearly, and often a conversation with someone the buyer already knows.


The human decision at the heart of the events industry is not under threat from agentic AI.

What is under threat is the top of the funnel: specifically, how discoverable an event is, how clearly its value proposition is expressed in the places where the audience is actually looking, and whether the content architecture is built for how discovery works in 2026 rather than 2019. That's a fixable strategic problem. It's not an existential one.



The one to keep an eye on

Prediction one runs to 2028: 60% of brands will use agentic AI to facilitate one-to-one interactions across marketing, sales, and support, collapsing the rigid channel-by-channel structures most teams still operate.


The near-term implication for events is about how customer journeys are tracked and optimised. The intelligence that currently requires a senior marketer to synthesise manually (which audience segments are converting, where in the funnel people are dropping, which messages are landing) will increasingly be handled at platform level. That's genuinely useful if the data, content, and governance infrastructure is in place. For most event organisations, it isn't yet.


Gartner's recommendation here is worth noting: "Upskill your team to be strategists first and specialists second. Which platforms initiate campaigns will become less and less important as agentic systems take over that work." The marketer who survives the next three years isn't the one who knows the most tools. It's the one who can think clearly about what the tools are trying to achieve.



What to actually do with this


Three things, in order of priority.


  1. The first is a content audit (and not a channel audit). Look at everything your event is producing and ask honestly: is this written from the audience outward, or the event outward? Because the former has a future in AI-mediated search. The latter is becoming invisible.


  2. The second is a straight conversation about team structure. Not necessarily a restructure, but an honest assessment of where the strategic thinking in your marketing function is actually happening. If it's getting crowded out by execution pressure, that's the gap that compounds over the next two years.


  3. The third is to use the Gartner data in exhibitor and sponsor sales conversations. Not by quoting prediction numbers at people, but by making the argument that the offline, high-trust, relationship-led decision environment that a well-run event provides is holding its value precisely while digital channels fragment and consumer trust in automated interactions erodes. The exhibitor who's anxious about AI disrupting their business has more reason to invest in a well-run physical event, not less.


Gartner's report is ultimately about a marketing environment in transition. For the events industry, the transition is real, the threats are specific, and the structural advantage of what a good event does for its audience is more relevant now than it was three years ago. The challenge is making sure that advantage is being articulated clearly enough for people to recognise it.



If you're navigating a team restructure, trying to work out where AI fits into your marketing function, or looking at your content strategy and sensing it isn't built for how discovery works anymore, that's exactly the kind of problem Marketing Alchemist exists to solve. Practical, senior-level support with the strategic thinking and the operational reality of making change happen.



bottom of page