Executive support AI productivity statistics in 2026
Current research on AI use, productivity, and workflow redesign for executive support teams deciding what to automate and what to keep human owned.
Key stats
| Measure | Value | Context |
|---|---|---|
| AI users surveyed | 20,000 across 10 markets | Microsoft's 2026 Work Trend Index surveyed full time employed or self employed knowledge workers who use AI at work. [1] |
| AI users producing new work | 58% globally | Microsoft reports that 58% of surveyed AI users say they are producing work they could not have produced a year earlier. [1] |
| Frontier Professionals producing new work | 83% in Switzerland | Microsoft reports this result for Swiss AI users working in organizations that systematically embed AI into workflows. It is not a global estimate. [1] |
| 2025 labor productivity index | 117.952 | FRED annual average for U.S. nonfarm business labor productivity, indexed to 2017 = 100. [6] |
Key takeaways
- Automate retrieval, first drafts, summaries, and routine routing only when a human owner remains accountable.
- Measure the workflow before and after adoption. Time saved alone does not prove that leadership decisions improved.
- Keep confidential data, final approvals, and judgment heavy communications inside explicit review boundaries.
- Use a four week workload brief to decide whether AI should extend an existing support role or change the role design.
Support model comparison
| Model | Cost anchor | Management |
|---|---|---|
| Human only | Capacity is limited by available support hours | Direct judgment and context ownership |
| Human with AI assistance | Same support capacity with faster retrieval and drafting | Human reviews outputs and controls access |
| Human and agent workflow | Defined tasks routed between people and approved agents | Named owner monitors exceptions and quality |
| Agent operated workflow | Lower routine handling cost when risk is low | Human approval remains for sensitive or consequential work |
What the 2026 trend data measures
Microsoft's 2026 Work Trend Index is based on a survey of 20,000 AI users in 10 markets. The report distinguishes ordinary AI use from organizations that redesign work around human and agent collaboration, so its findings are useful for planning but should not be treated as a controlled productivity experiment. [1][2]
The reported 58% global figure describes AI users who say they are producing work they could not have produced a year earlier. It does not show that every use case creates the same gain, or that the gain belongs to the executive support function. [1]
Where executive support can use AI
Start with work that has a clear source of truth and a defined reviewer: calendar conflict summaries, meeting brief drafts, action extraction, document retrieval, recurring status drafts, and first pass research. O*NET describes executive administrative work as including information requests, correspondence, reports, research, and scheduling, which gives a useful boundary for identifying candidate workflows. [3][4][1]
Do not treat speed as the only outcome. A useful workflow should also reduce clarification loops, preserve decision context, make owners easier to find, and keep sensitive information inside the approved system. McKinsey's estimate of $2.6 trillion to $4.4 trillion in annual generative AI value covers 63 use cases across industries, not one support team. [5][3]
How to measure the operating change
Record a four week baseline for meeting preparation time, inbox triage, document retrieval, follow up completion, rework, and escalations. Then compare the same measures after one workflow changes. FRED reports a 2025 annual average labor productivity index of 117.952 for the U.S. nonfarm business sector, but a macro index cannot tell a leadership team whether its own process improved. [6][7][8]
The wage benchmark is also context, not a productivity target. BLS reports a $74,260 median annual wage for executive secretaries and executive administrative assistants in May 2024 and projects a 2% employment decline from 2024 to 2034. A support plan still needs to account for workload, access, backup, management time, and continuity. [4][9][10]
Governance and hiring implications
A human and agent workflow needs a named owner for prompts, data handling, output review, exception routing, and records. Microsoft reports that advanced AI users benefit when organizations systematically embed AI into workflows. That supports redesigning a process before adding more tools. [1][11][5]
For HireExecutiveTeam, the hiring question is whether the support role should own a larger operating system or only complete more tasks. Keep final approvals, confidential stakeholder communication, and consequential decisions with the accountable executive. Use written permissions and an escalation path for everything else. [3][12][13]
Sources
- 2026 Work Trend Index Annual Report, Microsoft and LinkedIn.
- Creating helpful, reliable, people first content, Google Search Central.
- Executive Secretaries and Executive Administrative Assistants, O*NET OnLine.
- Secretaries and Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Outlook Handbook.
- The economic potential of generative AI, McKinsey Global Institute.
- Nonfarm Business Sector: Labor Productivity, Federal Reserve Economic Data.
- Productivity Statistics, OECD Data Explorer.
- World Development Indicators, World Bank DataBank.
- Executive Secretaries and Executive Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics.
- ILOSTAT Labour Statistics, International Labour Organization.
- 2024 Work Trend Index Annual Report, Microsoft and LinkedIn.
- Search Engine Optimization Starter Guide, Google Search Central.
- Dear Manager, You Are Holding Too Many Meetings, Harvard Business Review.
- Business Formation Statistics, U.S. Census Bureau.