There’s an app for everything these days. Algorithms recommend your next meal, playlist, or even your next career move. Event planning hasn’t escaped this wave. Platforms now promise to do the work of entire teams: scanning venues, building menus, and curating entertainment across multiple cities in seconds. For brands chasing global expansion, the offer is tempting: faster, cheaper, scalable.
But here’s the truth nobody wants to admit: technology may be able to organise the information, but it simply cannot deliver the experience. The final stretch of planning—encompassing permits, cultural nuances, and improvisation when something inevitably goes wrong—still belongs to people who know the ground.
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Where Algorithms Stop Short
On paper, automation seems unstoppable. A platform can compare hundreds of venues, whether it’s in Paris, Singapore, São Paulo or Timbaktu. It can forecast costs and map timelines with precision. However, culture and context are more challenging to measure.
A rooftop might be stunning in photos, but in London, one might find (perhaps too late!) that it overlooks a noisy construction site. A ballroom in Madrid may look perfect online, yet carry political baggage that could sour the mood. A menu flagged as “authentic” might feel off to locals who can spot when dishes are mass-produced for tourists.
Machines crunch numbers. Humans sense the undercurrents that numbers miss. The scale of what’s at stake is significant: the global events industry was valued at more than $1.1 trillion in 2019 and is projected to reach $2.1 trillion by 2032, according to Allied Market Research. With budgets of that size, overlooking cultural or regulatory nuances isn’t a minor error—it’s a costly risk.
The Last Mile: Permits, People, Problems
Ask any event professional where things really break down, and they’ll tell you: the last mile. That’s when the plan collides with real life. Permits delayed by a local office. Weather disrupting rooftop access. A last-minute cancellation from a headline performer.
No algorithm can negotiate with a city official who suddenly changes the rules. No AI system can calm a vendor panicking over missing shipments. Those are moments where instinct, trust, and relationships matter. They’re also the moments attendees never see because a human quietly fixed the problem before it became one.
The Human Brain Learns The Language Each City Speaks
Every city has its quirks. For example, in Tokyo, formality and timing need extra care: serving food in the wrong order or introducing entertainment too casually can be a sign of disrespect. In Nairobi, local musicians might electrify a crowd in a way no international chart-topper could. In Berlin, a historic building may look incredible online, but locals will instantly recognise its Cold War connotations.
An algorithm doesn’t live in these places; people do. That lived experience, knowing how a city breathes, what it celebrates, what it rejects, turns events from generic gatherings into cultural moments.
Food and Music Aren’t Just Checkboxes
Food and drink are another space where people matter more than algorithms. Sure, a data platform might suggest what’s “trending” in Bangkok or Berlin, but food is never just about what’s popular. Authenticity, sourcing, and tradition often come down to human judgment. In many places, the way a dish is served is almost as important (if not more!) than how it tastes. For example, take sushi in Japan. It’s not only about freshness, but also the ritual, precision, and respect behind its preparation—something no algorithm can fully capture.
The same goes for entertainment. A band that tops the charts in New York might mean nothing in Jakarta, while a local act, overlooked by algorithms, could light up a whole crowd. What makes music or performance resonate isn’t numbers on a screen. It’s the lived experience of being in a place, listening, talking, and understanding what truly moves people.
A Human Network in Global Cities
Some companies are already blending the best of both worlds. Eventflare, for example, illustrates this hybrid approach. Its platform streamlines logistics, but what sets it apart is the human layer—teams who live in the cities where events take place and understand the cultural and regulatory nuances that no algorithm can predict. The tech handles logistics. The humans handle nuance.
But why opt for a local event company? That’s a valid question, and here’s an example to illustrate why.
Say a company wants to plan a product launch in São Paulo. On paper, a sleek downtown venue might look ideal: capacity, cost, and availability all check the right boxes. But a local expert would quickly flag the hidden pitfalls: parking snarls, permit headaches, or construction noise that could derail the experience. This is precisely where Eventflare leans on its human touch. Beyond algorithms, its embedded teams redirect clients toward spaces that feel authentic, accessible, and risk-proof. That approach isn’t theoretical: when Eventflare handled a four-day company retreat in Lisbon for more than 150 people, the result was seamless. From scavenger hunts through the city streets to rooftop parties that “captured the company vibe perfectly,” the client later said the experience was smooth, personal, and unforgettable — proof that passion, local knowledge, and foresight still beat automation.
Why Risk Is Rising
There’s been a shift in how global events are viewed all over the world. Not only are events getting bigger and more complex, thanks to social media, but today the event industry is scrutinised more than ever. Planners are also feeling the pressure from geopolitics and regulation: in the latest Northstar/Cvent Meetings Industry PULSE survey, 61% said their programs have been affected by political, economic, or social changes. Skift Meetings’ Megatrends 2025 also flags a push toward local authenticity and tightening EU sustainability rules (e.g., CSRD) as forces that raise the stakes for on-the-ground judgment and compliance.
A catering faux pas, a tradition that lacks thorough research, or a logistical failure can quickly spread across social media. What once might have been an internal headache can now become a public embarrassment.
This makes human judgment an absolute must. Locals on the ground play a significant role in mitigating risk by identifying cultural blind spots, anticipating regulatory hurdles, and resolving crises promptly. Technology can draft the plan. People make sure it survives contact with reality.
Lessons From Other Industries
The tension between automation and local expertise isn’t unique to events. The retail industry experienced this shift in dynamic and there are a few valuable lessons to be learnt there. Retailers found that algorithmic product suggestions don’t necessarily require staff who understand customer behaviour on the ground. Streaming platforms can provide content recommendations, but they still need editors and curators for the final personalised touch. Even hospitality brands know that while booking apps handle reservations, it’s the concierge who builds a repeat relationship.
Events are no different. The stakes may even be higher: a botched launch or tone-deaf activation can linger in public memory long after the lights go down.
The Future is Hybrid, Not Replaced
The real future of global event planning isn’t automation alone; it’s hybrid. Platforms will continue to accelerate research, streamline scheduling, and crunch budgets. But human expertise will remain the differentiator in terms of nuance, context, and improvisation.
After all, AI can book a room, but it’s a local expert who makes sure the room feels right, the food resonates, the entertainment connects, and the permits are actually clear. The first gets you an event. The second gets you a memory.
Why Humans Still Win
For all the talk of disruption, the human advantage in event planning is stubbornly resilient. Algorithms can move fast, but that’s all they can do. They’re still not fully-equipped to truly understand a city’s culture, charm a city official, or salvage a moment when the unexpected strikes.
That’s why the best global events aren’t just about data. They’re built on people. You need to interact with those who live in the cities where these events take place. Those who understand the unique culture that makes a place what it is, the expectations of audiences, and the way a city just functions.
In the end, machines can optimise the schedule. But only humans can make the experience.
