AI is making proposal writing much worse

Generative AI is reshaping Horizon Europe proposal writing in a way that you never thought. This tool, apparently thought to facilitate the writing of good proposals, increases the difficulty for serious applicants. As more teams use large language models to draft and refine sections, the apparent quality of submissions is rising across the board. Language is cleaner, structures look more “complete,” and evaluator-friendly phrasing is easier to generate. The consequence is straightforward: competition intensifies because the baseline has moved upward. What used to be a visibly strong proposal can now look merely average in a pool of uniformly polished applications.

This inflation of apparent quality also changes the practical meaning of scores. In many topics, proposals can score extremely high and still not be funded, because the ranking is driven by marginal differences between excellent submissions. Under these conditions, it is increasingly likely that proposals scoring above 14 points out of 15 will fall outside the funded list. The reason is not that evaluators have become harsher, but that the field has become tighter: more proposals meet the formal expectations, so differentiation depends on subtle strengths in credibility, fit, and strategic coherence.

AI, however, is primarily a text accelerator. It does not automatically deliver the elements that create decisive separation: a distinctive positioning for the call, a consortium designed to signal authority, a work plan engineered for feasibility, a risk and contingency posture that reads as “experienced,” and an impact pathway that is both ambitious and believable. If those decisions are not made first, AI can amplify inconsistency by producing fluent text that does not align across objectives, methodology, budget, and exploitation.

For this reason, many applicants benefit more from a professional service offering a holistic strategy, like GIA Institute, than from writing support alone. Winning requires working in an anticipated way, wisely selecting the call and the consortium partners, and developing an integrated application architecture, not just well-written pages.

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