Historians research and analyze historical records, documents, artifacts, oral histories, and other primary sources to reconstruct and interpret past events. They write books, articles, reports, and exhibit content, and they often specialize in a particular era, region, or theme such as military, economic, social, or cultural history. Many work in universities, museums, archives, historical societies, and government agencies, while others serve as consultants for media, legal cases, or corporations.
The work demands strong critical thinking, writing, and research skills, along with patience for sifting through large volumes of evidence. Academic positions are highly competitive and typically require a PhD, while public history, archival, and government roles offer more varied entry points with a master's degree. Although the field is small, the skills developed, including research, argumentation, and clear communication, transfer well to law, policy, journalism, and consulting.
| Entry level | $42,000 |
| Median | $69,000 |
| Senior | $102,000 |
| Top 10% | $133,000 |
| Job growth | +3% |
| Professionals in the USA | 0.004 million |
| Typical hours/week | 42 hrs |
| Remote work share | 35% |
| Annual job openings | 2,700/yr |
| Demand | 3.3 / 10 (Low) |
AI is transforming how historians search, transcribe, and analyze large archives, speeding up routine research steps. However, interpreting evidence, building arguments, and crafting original narratives remain firmly human work. Historians who embrace digital tools are becoming more productive rather than being replaced.
Automation exposure: AI can automate manuscript transcription (handwritten text recognition), translation of historical documents, keyword and pattern searches across massive digitized archives, basic summarization of sources, citation formatting, and first-draft summaries of well-documented events.
The human edge: Historians exercise critical judgment about source reliability, bias, and context; conduct oral history interviews; handle fragile physical archives; formulate original research questions; construct nuanced interpretive arguments; and connect the past to present-day ethical and cultural debates. AI also hallucinates and reproduces biases in its training data, making expert verification essential.
Figures are estimates for exploration — verify current data with BLS.gov.