Developers using Copilot completed an assigned coding task 55.8% faster than the control group (1 hour 11 min vs 2 hour 41 min), with no significant difference in self-reported task completion confidence.

758 BCG consultants randomly assigned to GPT-4 or control completed 12.2% more tasks, 25.1% faster, and produced 40% higher-quality results on tasks 'inside the frontier' of AI capability. On tasks 'outside the frontier', AI use led to 19 percentage point lower correct-answer rates than control.

Random assignment of Microsoft 365 Copilot to information workers; pilot participants completed common tasks (drafting documents, summarizing emails, building presentations) approximately 27% faster on average; quality differences mixed.

Access to a generative-AI conversational assistant increased contact-center agent productivity (issues resolved per hour) by an average of 14%. Novice and low-skilled workers gained 34%; experienced workers were largely unaffected. Customer sentiment improved and worker attrition fell.

Analysis of millions of anonymized Claude.ai conversations classified by O*NET occupation: AI use concentrates in software engineering, technical writing, business analysis, and data work. Approximately 36% of jobs use AI in at least 25% of their tasks (Sept 2025 update).

Approximately 12,000 developers using GitHub Copilot at Goldman Sachs; CIO Marco Argenti cited 20% to 40% productivity uplift in internal pilot metrics.

Generative AI could add $2.6 trillion to $4.4 trillion in annual value across 63 use cases globally, or 15% to 40% on top of all non-generative AI and analytics impact.

Widespread AI adoption could raise global GDP by 7% (approximately $7 trillion) over a 10-year period and lift productivity growth by 1.5 percentage points annually.

Survey-based estimate that gen AI raised aggregate US labor productivity by approximately 1.1% from August 2024 levels, equivalent to a roughly $100B annual GDP uplift at then-current labor compensation.

75% of knowledge workers globally report using AI at work (May 2024 survey). 90% of Copilot users say it helps them save time; 85% say it helps them focus on the most important work. Microsoft's own randomized pilot found knowledge workers completed tasks 29% faster on average.

GitHub Copilot had over 1.8M paid subscribers in October 2024; companies using Copilot reported up to 55% faster code completion in the GitHub-internal Productivity Survey wave fielded mid-2024.

In its first month, Klarna's AI assistant handled 2.3M customer-service conversations (two thirds of total), performing the equivalent of 700 full-time agents, with comparable customer-satisfaction scores. Klarna estimated $40M USD profit improvement in 2024 from the deployment.