Can AI Really Cut the Cost of Running a Journal?
Automation promises faster production and fewer repetitive tasks, but the greatest expenses are not always the easiest ones to remove.


Independent news and analysis on research and scholarly publishing — from JCF Corp.
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Automation promises faster production and fewer repetitive tasks, but the greatest expenses are not always the easiest ones to remove.
The real challenge is not whether a paragraph sounds robotic. It is whether the research, data and references can withstand scrutiny.
AI can spot weaknesses in a manuscript within minutes. But detecting a problem is not always the same as understanding the research.
Shared integrity checks, open research information, AI-use policies, publish-review-curate and AI content deals are already changing how journals operate.
Researchers still read PDFs, but archives, accessibility rules and machine readers increasingly depend on structured XML and HTML.