The short answer
Academy advice treats BARb AI as useful practice, but not as the final judge of actual multiplayer competence.
It can teach speed, pressure handling, and some support-tool value, yet human play still behaves differently.
Why this matters
- Players sometimes overestimate themselves from AI wins or underestimate themselves from AI losses.
- Both distortions can slow improvement.
- AI should be part of a training ladder, not the entire ladder.
What a player should actually do
- Use AI to practice stable macro, anti-pressure habits, and role execution.
- Notice where AI has exploitable weaknesses, such as heavy radar dependence.
- Do not measure total competence only by AI outcomes.
Common mistake
The common mistake is assuming success against AI transfers cleanly to humans, or that failure against AI means the player is hopeless.
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