97% Have Embraced AI. 99% Question It. Enago’s Global Survey Report Reveals Why.
AI is no longer an emerging tool in academic research, it’s the default. Our latest survey of 457 researchers, editors, reviewers, and policymakers across disciplines and regions found that AI use has scaled almost universally. What hasn’t scaled at the same pace is oversight.
The Numbers Tell the Story:
- 97% of respondents report using AI in their research workflow
- 99% express some level of concern about AI’s role in scholarly work
- 51% document the prompts and tool versions behind their AI-assisted work — meaning nearly half don’t
- 66% say AI has improved the quality or efficiency of their writing and research
That gap between adoption and documentation is the real story. Researchers are using AI faster than institutions can govern it, and the result is a “documentation deficit” that breaks traceability right when publishers need it most, during editorial review.
What’s Driving the Concern?
The data points to three structural tensions: an adoption-governance gap (AI use has outpaced institutional guidelines), a productivity-integrity trade-off (efficiency gains offset by hallucination and authorship risk), and a transparency-effectiveness gap (disclosure exists, but it isn’t enough on its own).
Editors and reviewers, the gatekeepers responsible for validating AI-assisted work, are also the most skeptical group in the study. That’s a signal publishers can’t afford to miss.
Where this Leaves the Industry
Disclosure alone doesn’t reduce editorial friction. What the data calls for is a shift from ad-hoc, author-dependent disclosure to standardized, process-level human oversight — covering validation, accountability, traceability, and clearly defined intervention thresholds based on risk.
We break down the full picture — survey methodology, all three key findings, and a four-layer oversight framework publishers and institutions can start applying now in our new whitepaper.
This is Part 1 of a two-part series. Part 2 digs into what happens after submission and why validation, not just disclosure, is the path forward. Stay tuned!

