Other research shows a similar pattern. A 2025 global survey finds that 88% of organizations use AI in at least one business function. Even so, only 39% report a clear impact on overall earnings before interest and taxes. This gap suggests that tools are adopted more quickly than a comprehensive workflow redesign. Smaller firms, which often run with lean change-management capacity, feel the gap more sharply, because achieving real results requires rethinking workflows across people and systems.
AI changes the center of gravity in many roles. In customer support, assistants now triage incoming questions, draft replies, summarize calls, and surface account context. Human agents spend more time on exceptions, nuanced conversations, and coaching the system for improvement. In sales, drafting outreach, creating talk tracks, and logging notes become faster, while human attention tilts toward discovery, qualification, and negotiation.
The technology has also shifted . Content production has become a pipeline rather than a one-off task. Teams build prompt libraries, spin audience variations, and enforce brand and legal rules. The output volume increases, and the funds are invested in maintaining brand consistency, designing experiments, and interpreting performance data. Finance and operations teams see similar performance enhancements.
Document intelligence helps speed up bookkeeping, invoice capture, and reconciliation. Staff spend their energy on exception resolution, cash flow forecasting, and scenario planning rather than manual data entry. In human resources, AI screens resumes, schedules interviews, and drafts job ads. HR generalists focus more on onboarding quality, capability building, and internal mobility.
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