The AI tools market for meetings is already worth over $2B annually. And yet, most teams still don't use any. Why?
Because the promises don't match reality.
What AI can do today
Accurate transcription: Current voice models exceed 95% accuracy in Spanish and English under reasonable audio conditions. This is no longer a differentiator: it's table stakes.
Explicit task detection: If someone says "Juan, can you send the report by Friday?", AI catches it well. As long as it's stated explicitly.
Structured summaries: LLMs are exceptionally good at summarizing. A good meeting summary no longer requires a human assistant.
What AI still cannot do
Detect non-verbalized tensions: If two people disagree but neither says so explicitly, AI doesn't capture it. Not yet.
Understand prior context without being given it: AI doesn't know that "the Madrid project" refers to account X unless you tell it.
Replace human judgment on priorities: AI can list ten tasks. Deciding which one matters is still human.
What this means for AudioMap
We designed AudioMap to be honest about these limitations. That's why the chat exists: so you can add the context AI doesn't have. The tool amplifies your judgment; it doesn't pretend to replace it.
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