Will AI replace Clergy?
Work in Clergy sits in the in-between: AI reaches some of it (~33% in theory) but is only measured doing about 11% today — part human, part machine.
O*NET-SOC 21-2011
How your 21 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~33%). By late 2025, real-world AI use had reached about 11% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~33%), real-world use (~11%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 21 tasks, ratedBased on real task-level AI scores — click to collapse
- Read from sacred texts, such as the Bible, Torah, or Koran.
- Prepare and deliver sermons or other talks.
- Study and interpret religious laws, doctrines, or traditions.
- Share information about religious issues by writing articles, giving speeches, or teaching.
- Plan or lead religious education programs.
- Devise ways in which congregational membership can be expanded.
- Collaborate with committees or individuals to address financial or administrative issues pertaining to congregations.
- Refer people to community support services, psychologists, or doctors.
- Participate in fundraising activities to support congregational activities or facilities.
- Perform administrative duties, such as overseeing building management, ordering supplies, contracting for services or repairs, or supervising the work of staff members or volunteers.
- Pray and promote spirituality.
- Organize and lead regular religious services.
- Instruct people who seek conversion to a particular faith.
- Counsel individuals or groups concerning their spiritual, emotional, or personal needs.
- Administer religious rites or ordinances.
- Visit people in homes, hospitals, or prisons to provide them with comfort and support.
- Conduct special ceremonies, such as weddings, funerals, or confirmations.
- Train leaders of church, community, or youth groups.
- Respond to requests for assistance during emergencies or crises.
- Prepare people for participation in religious ceremonies.
- Organize or engage in interfaith, community, civic, educational, or recreational activities sponsored by or related to religious programs.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.