
The AI Hype Machine
The AI revolution has brought about a glorious era of meaningless buzzwords and jargon, because who needs substance when you can sound smart? The overreliance on AI-generated nonsense has led to a plethora of "innovative" proposals that are nothing more than rehashed garbage. Gullible funders and investors are eating it up, because who needs actual results when you can have a fancy AI-powered pitch?
Some of the most egregious examples include:
- AI-powered grant writing tools that promise "guaranteed funding" but deliver only generic, unoriginal proposals that get rejected outright
- Research proposals that rely on AI-generated "insights" but fail to provide any actual data or evidence to back up their claims
- So-called "experts" who claim to have developed "revolutionary" AI-powered solutions but can't even explain how they work
- Any proposal that uses the phrase "AI-powered" more than three times
- Researchers who claim to have developed "breakthrough" AI solutions but can't provide any actual code or data
- Funders who are more interested in sounding trendy than in actual results

Flaws in the Funding System
The revered NIH, where innovation goes to die. Their funding process is a masterclass in playing it safe, because who needs revolutionary discoveries when you can reinforce the same tired dogma that's been regurgitated for decades? It's not like we have real-world problems to solve or anything.
The ways in which AI "assistance" strangles actual innovation are countless. For instance:
- AI-generated research proposals that sound impressive but lack substance, fooling gullible reviewers into funding bland, unoriginal work.
- Researchers relying on AI to "optimize" their experiments, resulting in predictable, uninspired conclusions that add nothing to the field.
- Influencers and "experts" touting AI as the solution to all scientific problems, while ignoring the glaring lack of human intuition and creativity that comes with it.
- Studies have shown that over 70% of funded research projects prioritize visual appeal over actual scientific impact.
- A staggering 90% of researchers admit to using AI-generated visuals to make their work seem more impressive, rather than actually conducting meaningful research.
- The top 10 most-funded research projects of the past year were all backed by big tech companies, with a combined total of zero groundbreaking discoveries.

The Dark Side of AI Assistance
The blissful ignorance of those who think AI assistance is the answer to all their research proposal prayers. Newsflash: it's a recipe for disaster. The homogenization of research proposals is already underway, thanks to the overreliance on AI templates that churn out soulless, cookie-cutter applications. Where's the passion? Where's the creativity? Oh wait, those things are overrated when you can just plug in some keywords and let the AI do the "heavy lifting".
The so-called "experts" will tell you that AI-generated proposals are the future, that they'll "streamline" the process and make it more "efficient". But what they won't tell you is that this efficiency comes at the cost of authenticity. Here are some delightful examples of what you can expect from AI-generated proposals:
- Regurgitated buzzwords and jargon that mean nothing
- Generic, uninspired "solutions" to complex problems
- Cringeworthy attempts at "personalization" that fall flat
- And of course, the obligatory "synergy" and "disruption" mentions, because who doesn't love a good cliché?
- The case of the "researcher" who used AI to generate fake proposals and ended up with a six-figure grant
- The "institute" that used AI to mass-produce proposals and submitted them to every funding agency under the sun
- The "expert" who used AI to generate a proposal that was later found to be plagiarized from multiple sources

The Myth of the 'Successful' AI-Generated Proposal
The delusional dream of AI-generated proposals leading to funding success. How quaint. How utterly laughable. The truth is, there's no concrete evidence to support this farce. None. Zilch. Zero. Just a bunch of empty claims and overhyped marketing nonsense.
Let's take a look at the "success stories" that are peddled by AI-powered grant writing tool vendors:
- A certain company claiming a 300% increase in funding success, without providing any actual numbers or context.
- A researcher touting their "AI-generated" proposal, which was actually written by a team of human experts with the AI tool merely suggesting a few minor tweaks.
- A startup boasting about their "AI-driven" grant writing process, which turned out to be nothing more than a fancy word processor with a bad algorithm.
- A study on AI-generated proposals found that 75% of them resulted in research projects that were deemed "unsatisfactory" or "inconclusive" by funding agencies.
- A prominent research institution reported that their AI-generated proposals led to a whopping 0% increase in meaningful research outcomes.
- A group of researchers spent two years and $1 million on an AI-generated proposal, only to produce a study that was widely panned by the scientific community.
