Conference Producers · Speaker Vetting · AI Keynotes

The 7 AI Keynote Speaker Criteria

How Conference Producers Tell Researchers from Repackagers

01
Original Research

Does the speaker reference data they personally analyzed, or quotes from McKinsey/Gartner reports? Repackagers can't answer "what's a finding you've personally produced?"

Relative Importance
95%
02
Slide-Deck Independence

Will they answer questions outside their slides? Researchers can; performers can't. Test: "what's a question your slides don't cover?"

Relative Importance
88%
03
Specificity Over Buzzwords

Watch a 5-min YouTube clip. Count specifics per minute (numbers, named companies, dated events). Less than 3 = signal.

Relative Importance
82%
04
Updated Thinking

Compare their last 3-4 talks. AI moves fast. A speaker whose framework hasn't shifted in 18 months either isn't researching or doesn't update.

Relative Importance
76%
05
Audience Adaptation

Does the deck visibly change for different audiences? A great speaker delivers a different talk to CMOs than to developers.

Relative Importance
70%
06
Slide-Free Recovery

If AV breaks, the speaker who actually knows their material recovers. The repackager freezes.

Relative Importance
64%
07
Selective Acceptance

Counterintuitive. Speakers worth booking decline wrong-fit events. Acceptance rate of 100% signals quality issues.

Relative Importance
58%

The best AI keynote speakers are not the ones with the longest LinkedIn bio. They are the ones who can answer a question their slides don't cover.

Fernando Angulo · Senior Market Research Manager at Semrush