AI Analysis of US H.R.1 ("Big Beautiful Bill") Impacts on Farmed Animals

By Steven Rouk @ 2025-07-22T14:33 (+13)

When H.R.1 (the "Big Beautiful Bill") passed in the U.S. on July 4th, I wondered what it meant for farmed animals. So, I decided to use AI to do a quick analysis for my own interest. (The bill is 130,000+ words long, which is 70% as long as Harry Potter and the Goblet of Fire, making AI a helpful tool for "quick" analysis.)

I haven't seen any other policy analyses come out specifically about the impacts of H.R.1 on farmed animals, so I thought I would share this AI analysis here in case it's helpful.

I think the analysis could be helpful in two ways:

  1. The analysis itself (which I found very interesting), and
  2. As a proof of concept for how AI might be able to aid with future policy analysis.

 

Here are the main two documents:

  1. An Executive Summary of the biggest impacts for farmed animals (5 pages)
  2. A much longer Full Report with analysis for every section of the bill (59 pages)

 

More (very important) details and disclaimers below.

Potential Takeaways

(Edit 2025-07-22: I've gotten a request to put some of the findings from the analysis here in the post itself, which I didn't originally do for fear of people casually taking these as truth without understanding that this report was fully AI generated. So with all due caveats and disclaimers, here are potential takeaways.)

If the AI analysis is correct, here are some of the primary cross-cutting themes—pretty much all of which seem to further entrench CAFOs and reduce avenues for fighting them:

(Copied from the executive summary)

  1. Public-risk socialization: Insurance, disaster, tax, and loan programs shift climatic, market, and bio-security risks from CAFO operators to taxpayers.
  2. Regulatory dilution: Environmental-monitoring cuts and paid fast-track permitting reduce scrutiny of large-scale animal facilities.
  3. Climate contradiction: Fossil-fuel subsidies and manure-fuel bonuses work against national emissions targets while entrenching high-GHG livestock systems.
  4. Fiscal asymmetry: Tens of billions flow to livestock and feed-crop support; no dedicated outlays for alternative proteins or farm-animal-welfare improvements.
  5. Litigation headwinds: Judiciary provisions signal hostility toward broad injunctions, jeopardizing a key enforcement pathway for welfare and environmental advocates.

 

The short story is that much of the bill improves the economics of factory farming (through increased crop subsidies, better insurance, tax credits for manure gas production, etc.) and strips away environmental and other regulations that could be used to fight factory farms. If the analysis is correct, this bill is a huge gift to large-scale animal agriculture.

The Model Used

I used the OpenAI o3 "advanced reasoning" model which tends to perform fairly well on complex analysis questions like this. I've used this model a lot in my work and personal life, and I tend to trust o3's general analysis 80–90% of the time, if I had to guesstimate. However, I also trust that there will occasionally be errors, especially when it comes to specific numbers.

Disclaimer

I did not do thorough validation of the analysis (I did read and spot check some things) and am relying here on my trust of the o3 model being "mostly right most of the time", which means it's possible that large portions of the analysis are completely incorrect—if anyone discovers that the analysis is in large part incorrect, please let me know. All statements and conclusions in either of these reports should be independently verified before use. My work does not directly involve policy-making, lobbying, or economic analysis, so I am not currently planning on using this analysis for any advocacy work.

Technical Details

Since the bill is very long, I used a Python script to split the bill into ~50 chunks and process each chunk through o3 using the API, using a detailed prompt for how I wanted the analysis conducted (i.e. through the lens of farmed animal advocacy). This process could be adapted fairly easily to analyze the bill through a different lens, as well.

What This Is For, What This Is Not For

I think this approach could be very good for quickly discovering insights, keeping up with things at a pace that's otherwise impossible, and conducting "good enough" analyses when you don't have the expertise to do so. I would not recommend: copy/pasting without double-checking; quoting insights without verification; or relying on this analysis for high-stakes situations where 100% factual accuracy is needed. Rather than this being the last step of research, I would view this as a first step, with the experts picking it up from here.

AI + Policy Analysis

If anyone is interested in talking more about the potential for AI to help with policy tracking or policy analysis, please feel free to reach out. If AI analysis is good enough and accurate enough, it's possible that this type of approach could be used to help automatically track and analyze bills for their impacts on farmed animals, leading to advocates being able to respond more quickly in the future. Any publicly available text on the Internet can now be automatically analyzed by AI for animal impacts—I think there's probably a lot of opportunity there.

(For the curious: AI did not write any of this post, with the exception of the 5 "cross cutting themes" copied from the executive summary.)