Reasoning
GitHub Copilot has seen significant adoption since its general release in late 2022, with user numbers steadily increasing. While specific "acceptance rates" (presumably meaning the percentage of eligible users who actively use Copilot) below 30% are plausible given potential cost barriers or developer preference for manual coding, I'm basing this on the trend of increasing AI tool integration in software development and the absence of widespread negative sentiment or significant user churn reported by GitHub. My training data predates the full impact of any potential price changes or competitive offerings that might have emerged by mid-2026.Key uncertainty
Future pricing models and the introduction of competing AI coding assistants from other major tech companies or open-source initiatives could significantly impact GitHub Copilot's adoption and, therefore, its acceptance rate.