The AI Impact Timeline: What to Expect
The impact of AI on historians is phased. Entry-level research assistants and archivists can expect significant AI-driven changes as early as 2027, affecting routine data gathering. By 2030, approximately 40% of historians' tasks, including archival research, data compilation, fact-checking, and preliminary analysis, will be automated.
The early wave of AI impact, starting around 2027, will primarily affect tasks related to document digitization and transcription. AI tools like Transkribus are already capable of automating manuscript transcription, freeing up human researchers from laborious manual work.
The mid-wave transformation by 2030 will see AI handling more complex data compilation and pattern recognition across historical texts. Tools such as Google's Bard for Research and JSTOR's Text Analyzer will assist in bibliographic synthesis and initial data analysis, pushing historians towards higher-level interpretation.