Most keynote speakers show up with a polished deck and a prepared narrative. They have spent years refining the talk, and they are very good at delivering it. The slides are crisp. The stories land. The audience leaves feeling informed and inspired.
And then, roughly 72 hours later, nothing changes.
I have spent years trying to understand why. And I think it comes down to one thing: most keynotes are built for a generic audience. They are designed to resonate with someone. But they are rarely designed around this room, this organisation, and this specific moment in the AI journey of the people sitting in front of the speaker.
That is the problem I decided to solve.
Before I Arrive, I Get Curious
Several weeks before every engagement, I build something specifically for that client. Not a pre-event briefing call. Not a generic survey template dusted off from the last event. A bespoke survey experience, purpose-built for that organisation, that audience level, and the questions that actually matter to them right now.
I call it The Curious Index™
The survey lives on a custom-built site. The questions are written from scratch for each engagement, shaped around the industry, the seniority of the audience, the organisation’s stated AI priorities, and the gaps I have spotted in the brief. Delegates complete it in their own time, in their own words, before the event.
Then I run AI-powered analysis across every response.
By the time I walk on stage, I already know what this organisation thinks about AI. I know where confidence is high and where it is performed rather than real. I know which functions feel left behind. I know whether the leadership team’s view of AI readiness matches what the people in the room actually believe.
That analysis becomes the keynote.
What Happens on Stage Is Different When the Data Is Real
There is a moment in every engagement where I put the findings on screen. Not a benchmark from a global report. Not an industry average. The actual responses from the people sitting in the room, surfaced, analysed, and structured into a clear picture of where this organisation genuinely stands.
The room shifts.
I have seen it happen at financial services conferences, manufacturing summits, HR leadership forums, and board offsites. The moment people recognise themselves in the data, they stop watching a presentation and start engaging with a reality. Leaders see blind spots they had not put into words. Teams realise that what they thought was a private concern is widely shared. And the conversation that follows is grounded in evidence rather than assumption.
That is the difference between a keynote that informs and one that actually changes something.
Why This Matters More Than Ever
The standard playbook for an AI keynote in 2026 involves a live poll at the start of the session. The speaker asks the audience to raise their hands, clicks through a few Slido responses, and uses whatever emerges to frame a talk they were always going to deliver anyway. The poll is a rhetorical device, not a research instrument.
I understand why speakers do it. It creates the feeling of customisation without the work.
But audiences notice. Particularly senior ones. They have sat through enough conferences to know when a talk was designed for them and when they happen to be the backdrop.
The Curious Index™ is the opposite. The research starts weeks before the event. The questions are built around this organisation’s specific situation. The analysis is conducted before I arrive. And what gets revealed on stage is not a speaker’s interpretation of the AI landscape. It is a mirror held up to the organisation itself.
The Gap Between What Leadership Believes and What the Room Actually Thinks
Here is what The Curious Index™ almost always finds, regardless of sector or seniority level.
There is a gap.
Leadership tends to believe the organisation is further along the AI adoption curve than the people doing the work actually experience. That gap is not a failure of strategy. It is a failure of visibility. Nobody has asked the right questions, in the right way, with enough anonymity and structure to get honest answers.
The Curious Index™ asks those questions. The keynote reveals the answers. And the conversation that follows is the most valuable thing that happens at the event.
Not the talk itself. The conversation it unlocks.
What Makes This Genuinely Different
There are excellent keynote speakers on AI. Several of them deploy frameworks, scorecards, and planning tools that audiences find genuinely useful. But those instruments are standardised. The same scorecard goes to every client. The same ten questions appear on every stage. The framework was built once and travels everywhere.
There is nothing wrong with that approach. But it is not primary research. It is not your data.
The Curious Index™ is built from scratch for every engagement. The questions change. The analysis changes. The findings change. Because every organisation is at a different point in its AI journey, with different confidence levels, different capability gaps, and different stories that need surfacing.
I have delivered over 700 keynotes across more than 50 countries. The most memorable moments in any of them are never the slides I prepared. They are the moments when the audience sees something true about themselves that nobody had previously written down.
The Curious Index™ exists to create that moment, reliably, every time.
If You Are Planning an AI Event
The Curious Index™ is included in every keynote engagement I take on. If you are booking a speaker for an event where you need the audience to leave with more than inspiration, it is worth understanding what is possible when the research starts before the speaker arrives.
The keynote begins when I start asking questions.
I have probably already started asking them about your industry.
Why not contact me directly to discuss your event.
Andrew Grill is The Actionable Futurist® — a global AI keynote speaker, strategist, and author of Digitally Curious (Wiley, 2024). He has delivered 700+ keynotes across 50+ countries and works with organisations including the BBC, Shell, Microsoft, Vodafone, and Royal London.
