When AI suggests a suitable performer, a question arises: Can it really be trusted?
The question is important. Choosing a speaker is a big decision, as it directly impacts the success of an event. Therefore, recommendations must be justified, transparent, and relevant.
AI's strength lies in its data-driven operation.
When you describe your event or the needs for a desired speech, AI compares this information to performers' profiles, experience, topics, and feedback. Its task is not to choose for you, but to highlight options that genuinely fit the situation.
This differs surprisingly much from traditional speaker agencies. Usually, speaker suggestions arise based on who is easy to sell or with whom collaboration is customary. In such cases, the recommendation may not be objective. No single salesperson can manage all the content of hundreds of different performers, including their latest updates, or represent all speakers impartially.
AI does not have this bias. It does not favor a specific performer, nor does it have an incentive to steer the choice in a particular direction. Its sole task is to find the most suitable options based on the provided information.
At its best, it helps discover new options. Ones you might not have otherwise looked for. You can use AI to quickly find suitable options and, if necessary, spar with a human on the choice. The final decision always rests with a human.
In some situations, a quick and independent choice is best. In others, discussion and sparring add value. A good service enables both.
Ultimately, trust is not born from whether AI or a human is involved. It arises from receiving sufficiently good information to support your decision and understanding why a particular performer is recommended.
