When I first got serious about fitness, bodybuilding was not even on my radar.
I was not chasing a stage, a title, a division, or a specific physique category. I was simply doing what most people say they want to do but very few are willing to sustain long enough to see the full arc of the result.
I was showing up daily, lifting with intention, learning how my body responded to different training styles, applying progressive overload, dialing in my nutrition, counting macros, and slowly building the kind of consistency that does not look impressive in the moment but becomes undeniable over time.
Then my body started changing in front of my own eyes.
Not overnight. Not magically. Not because of one supplement, one meal plan, one coach, one shortcut, or one lucky genetic lottery ticket. It happened through repetition, structure, patience, data, correction, and a willingness to keep going through the long middle, where most transformation actually happens and where nobody is clapping yet.
What shocked me was not the body recomposition itself. I knew I was doing the work.
What shocked me was how quickly visible change invited invisible assumptions.
Suddenly, people had opinions about my metabolism, my hormones, my body fat, my health, my discipline, my relationship with food, and what they imagined had to be happening behind the scenes.
Some people assumed that a lean, muscular body must mean something was wrong internally. Others assumed that level of fitness had to involve steroids, because apparently discipline, structure, years of progressive training, and nutritional precision are harder for some people to believe than shortcuts.
The irony, of course, is that many of those opinions came from people who had never trained at that level, never tracked their own nutrition with that much precision, never built muscle through years of repetition, and never stood under the bar long enough to understand what actually creates the result.
They were not responding to evidence.
They were responding to assumptions.
That experience taught me something I now see everywhere, especially in the business events industry.
We carry assumptions like they are facts.
- We assume bigger events are better events.
- We assume a packed room means value was created.
- We assume more sessions create more learning.
- We assume more sponsors mean greater success.
- We assume more networking creates stronger connection.
- We assume more technology signals progress.
- We assume AI adoption means tool adoption.
- We assume audience-first design means we sent a survey six months ago and pulled the top three requested topics into the agenda.
We repeat these ideas so often that they start to sound true. But repetition is not proof. Familiarity is not strategy. Confidence is not clarity.
That is why Adam Grant’s work in Think Again feels so relevant to this moment in the business events industry. His central argument is simple and uncomfortable: intelligence is not only about what we know. It is also about our ability to rethink, unlearn, and question the beliefs we have been carrying for too long.
The best leaders do not treat their assumptions as sacred. They treat them like hypotheses.
A fact has been tested. A hypothesis still needs pressure.
A fact can support decisions.
A hypothesis needs evidence before it becomes the foundation for strategy.
Too often in business events, we build entire programs, budgets, sponsorship packages, attendee journeys, and technology stacks on beliefs that have not been meaningfully challenged in years.
We say attendance is the primary proof of success because it is easy to count. But what if attendance only tells us who showed up, not what changed because they were there? What if a smaller room with stronger decision-makers, deeper conversations, and clearer post-event action creates more business value than a larger room filled with passive participation?
We say content is the heart of the event, then overload the agenda until attendees are mentally cooked by lunch. What if more content is not creating more learning? What if it is reducing retention, weakening connection, and making the event feel impressive on paper but exhausting in practice?
We say sponsors want visibility, then sell them more logo placement, bigger booths, more mentions, and another “brand moment” that often disappears into the noise. What if sponsors do not need more visibility? What if they need better proof of influence, stronger audience alignment, clearer buyer intent, and more meaningful pathways from presence to pipeline?
We say we are designing for the audience, then build around internal priorities, board expectations, legacy formats, venue constraints, sponsor obligations, and what we have always done. What if audience-first design starts only when we are willing to challenge the organization’s own comfort?
We say community is created when people gather in the same physical space. But anyone who has been in enough ballrooms, receptions, networking lounges, and forced icebreakers knows proximity does not automatically create belonging. What if community is not the byproduct of attendance, but the result of intentional trust-building before, during, and after the event?
We say AI is changing everything, which is true, but then we reduce the conversation to tools, features, prompts, and productivity tips. What if AI is not the strategy? What if AI is simply the mirror showing us where our strategy was thin, our workflows were undocumented, our decision rights were unclear, and our teams were surviving on tribal knowledge?
That is the uncomfortable part. AI does not just speed things up. It exposes the assumptions underneath the work. If the strategy is vague, AI will amplify the vagueness. If the process is messy, AI will make the mess visible. If the event has no clear business objective, AI can generate a hundred polished outputs in service of a direction nobody has actually defined.
On this topic, AI That Plans With You: https://youtu.be/m86iWAdYTc4
This is where intellectual humility becomes more than a leadership virtue. It becomes an operational advantage.
The leaders who will shape the next era of business events are not necessarily the ones with the loudest opinions or the fastest answers. They are the ones willing to ask better questions before the market forces the answer on them.
- What do we think we know about our audience that may no longer be true?
- What are we measuring because it is meaningful, and what are we measuring because it is convenient?
- Where are we adding complexity and calling it progress?
- Where are we protecting legacy formats because they are familiar, profitable, or politically safe?
- Where are we using technology to decorate old thinking instead of redesigning the work?
- Where are we confusing activity with impact?
- Where are we asking exhausted teams to carry broken systems and then calling their burnout a resilience problem?
Those questions matter because assumptions are not harmless. In fitness, assumptions distort how people see the body, the work, and the person behind the result. In business events, assumptions distort how we design, measure, sell, staff, and lead.
They shape what gets funded. They shape what gets repeated. They shape what gets rewarded. They shape what gets ignored.
If we assume attendance equals value, we will keep optimizing for registration numbers while missing the deeper question of whether the event actually changed behavior, accelerated trust, supported business outcomes, or helped people make better decisions.
If we assume more content equals more value, we will keep building bloated agendas that overwhelm the nervous system and dilute the very learning we claim to prioritize.
If we assume sponsors mostly want exposure, we will keep selling them visibility when what they increasingly need is relevance, intelligence, and measurable influence.
If we assume AI adoption is about giving everyone access to tools, we will miss the harder work of building AI fluency, governance, process clarity, and strategic judgment.
If we assume business events are automatically human-centered because humans attend them, we will continue designing environments that ignore cognitive load, decision fatigue, sensory strain, and the real human capacity required to participate meaningfully.
The industry has spent years proving it can gather people. The next question is whether we can design gatherings that actually hold the complexity of modern business, modern technology, and modern human attention.
That requires a different kind of leadership. Not performative certainty. Not trend-chasing. Not another panel where everyone agrees that change is coming while quietly protecting the same operating model.
It requires leaders who are willing to conduct an assumption audit.
An assumption audit asks:
- What have we accepted as true without enough recent evidence?
- What belief made sense five years ago but may be costing us now?
- What are we afraid to question because it might force us to redesign something profitable, familiar, or politically convenient?
- What would we build differently if we were honest about how people actually behave, learn, connect, buy, and decide?
This kind of rethinking is not abstract. It has practical consequences.
It changes how we define event success before the event is built. It changes how we design sponsorship models around outcomes rather than inventory. It changes how we use AI to support strategy instead of creating faster content clutter. It changes how we structure agendas around attention, energy, and decision quality. It changes how we equip teams so execution does not depend on heroics, memory, and last-minute improvisation. It changes how we listen to audiences beyond survey data and applause.
It also changes how we lead.
Because leadership in this next era will not be measured by how confidently someone can defend the old model. It will be measured by how quickly they can recognize when the old model is no longer serving the people it claims to serve.
The most dangerous phrase in business events may still be, “We already know what works.”
Maybe we do.
Maybe we don’t.
Maybe what worked before still works in some contexts, but not in all of them. Maybe what looks successful from the stage feels exhausting from the attendee seat. Maybe what looks valuable in a sponsor recap does not actually move the relationship forward. Maybe what looks efficient to leadership is creating invisible drag for the teams underneath. Maybe what looks innovative in a sales deck is just another layer of complexity sitting on top of unresolved strategy.
That is why assumptions need to be tested, not worshipped.
Treating assumptions like hypotheses does not weaken leadership. It strengthens it. It gives leaders permission to be rigorous instead of reactive. It creates space for evidence, dissent, experimentation, and better decision-making. It moves the industry away from inherited thinking and toward intentional design.
Fitness taught me that people will often assign meaning to outcomes they do not understand because they have never lived the process behind them.
Events have taught me something similar.
People will assign value to formats, metrics, traditions, and technologies because they recognize them, not necessarily because they still serve the purpose.
At some point, we have to ask whether the assumptions we are carrying are helping us build the future of business events or quietly keeping us loyal to an outdated version of success.
The next chapter of this industry will not belong to the leaders who simply know more.
It will belong to the leaders willing to rethink better.
What assumption about the business events industry do you think deserves to be challenged right now?
About the Author
Anca Platon Trifan is an award-winning speaker, AI strategist, technical producer, and the founder of Tree-Fan Events Production LLC. With more than 20 years in AV production and event technology, she helps event leaders rethink how strategy, systems, AI, and human capacity intersect under pressure. She is also the producer and host of Events: Demystified, a top podcast in the AV production and event technology space, where she explores the realities behind leadership, innovation, production, and the future of business events.
Beyond the stage and show floor, Anca is a competitive bodybuilder, 5x champion, and Ironman 70.3 athlete in training. Her work is deeply shaped by the discipline of strength training, endurance preparation, and the belief that high-performance events require more than better technology. They require stronger systems, clearer thinking, and a deeper respect for human capacity.
