HUD Code manufactured housing production is up month over month but is down year over year according to the information provided to MHProNews by the Manufactured Housing Association for Regulatory Reform (MHARR) which is based upon official data gathered for the U.S. Department of Housing and Urban Development (HUD). That MHARR data is found in Part I. This MHVille mashup will also consider the recent “Code Red” alert announcement by OpenAI’s Sam Altman. Open AI is the parent company for popular ChatGPT. When MHProNews asked left-leaning Google’s artificial intelligence (AI) powered preview (overview) “What has AI done in the manufactured housing industry?” on 12.4.2025, the AI Overview responded in part by saying: “AI is making the manufactured housing industry more efficient and responsive by automating processes in design and manufacturing, improving project management, and enhancing customer service and sales.” Altman’s “code red alert” begs several questions when considered through the lens of what has been occurring in HUD Code manufactured housing. 11.30.2022 is the date that ChatGPT launched. So, all of 2023 and since has been part of the shift in using AI in business, search, government, or a range of social, entertainment, spiritual or other arenas. What has that AI impact looked like in the HUD Code manufactured housing industry as measured by the key performance indicator (KPI) of new home production? That and more will be addressed in this facts-evidence-analysis (FEA) below, including in Part I by inference and in Part II more explicitly.
1) In the new manufactured home production by year table below, only a ten-year snapshot is considered. That ten-year table helps frame the discussion for how AI has impacted manufactured housing. 2023 and 2024 are in black, because they follow the launch of ChatGPT and the more publicly – and thus broadly in business or other aspects – available use of AI in American society, of which our manufactured home industry is a subset.
| Table 1 | |
| Year | New Manufactured Home (MH) Production |
| 2015 | 70,544 |
| 2016 | 81,136 |
| 2017 | 92,902 |
| 2018 | 96,555 |
| 2019 | 94,615 |
| 2020 | 94,390 |
| 2021 | 105,772 |
| 2022 | 112,882 |
| 2023 | 89,169 |
| 2024 | 103,314 |
As the table clearly reflects, production in 2023 dropped sharply from 2022 or 2021. Production year to date in manufactured housing (see Part I for details) is up 1.2% year-over-year over (YoY) 2024. But comparing last October 2024 to October 2025, production for that month was down: -9.7%. Where is the promise of AI apparently benefiting the manufactured home profession?
2) According to left-leaning Wikipedia on this date: “Samuel Harris Altman is an American entrepreneur, investor, and chief executive officer of OpenAI since 2019.”
Sam Altman has declared a “Code Red” in an internal memo
– The plan is to allocate more resources to improving ChatGPT, with teams concentrating on features that allow more personalized interaction with ChatGPT.
– Other core priorities include:
1. advancing the… pic.twitter.com/eBapPG57Ww
— Jukan (@jukan05) December 2, 2025
OpenAI chief executive Sam Altman has declared a ‘code red’ over the need to improve ChatGPT, as rivals Google and Anthropic narrow its early lead in the race to develop artificial intelligence. https://t.co/eQK8aoXzmd pic.twitter.com/gzGRZoKBIa
— Financial Times (@FT) December 2, 2025
3) Where is there a “code red” alert by a leader associated with the Manufactured Housing Institute (MHI) on behalf of the manufactured housing? Instead of an ‘alert’ that the industry is experiencing apparent problems, what MHI produces instead is an apparently steady diet of how well everything is going. A recent example of that is linked below.
4) Observations about ChatGPT more specifically as well as AI more generally when it comes to implementation in factory-built housing in general, and more manufactured home specific issues will be explored in Part II.
Oh, those pesky facts.
This MHVille facts-evidence-analysis (FEA) is underway.
Part I. According to the Manufactured Housing Association for Regulatory Reform (MHARR) to MHProNews
Washington, D.C.
FOR IMMEDIATE RELEASE Contact: MHARR
(202) 783-4087


HUD CODE PRODUCTION DECLINES IN OCTOBER 2025
Washington, D.C., December 3, 2025 – The Manufactured Housing Association for Regulatory Reform (MHARR) reports that according to official statistics compiled on behalf of the U.S. Department of Housing and Urban Development (HUD), HUD Code manufactured housing industry year-over-year production declined in October 2025. Just-released statistics indicate that HUD Code manufacturers produced 9,260 new homes in October 2025, a 9.7% decrease from the 10,263 new HUD Code homes produced in October 2024. Cumulative production for 2025 now totals 88,735 new HUD Code homes, as compared with 87,639 over the same period in 2024, a 1.2% increase.
A further analysis of the official industry statistics shows that the top ten shipment states from January 2023 — with monthly, cumulative, current reporting year (2025) and prior year (2024) shipments per category as indicated — are:
| Rank | State | Current Month (Sept. 2025) | Cumulative | 2,025 | 2,024 |
| 1 | Texas | 1,459 | 48,376 | 14,940 | 15,494 |
| 2 | Florida | 711 | 20,549 | 5,777 | 6,391 |
| 3 | North Carolina | 503 | 17,359 | 5,437 | 5,706 |
| 4 | Alabama | 501 | 15,788 | 4,547 | 4,977 |
| 5 | South Carolina | 436 | 13,932 | 4,458 | 4,837 |
| 6 | Louisiana | 418 | 13,272 | 4,158 | 3,928 |
| 7 | Georgia | 441 | 12,634 | 4,158 | 3,928 |
| 8 | Kentucky | 388 | 10,343 | 3,231 | 3,513 |
| 9 | Mississippi | 340 | 10,338 | 3,433 | 3,402 |
| 10 | Tennessee | 350 | 10,335 | 3,296 | 3,439 |
The October 2025 statistics move Kentucky into 8th place on the top-ten shipment states list, while Mississippi and Tennessee move into 9th and 10th place, respectively.
The Manufactured Housing Association for Regulatory Reform is a Washington, D.C.- based national trade association representing the views and interests of independent producers of federally-regulated manufactured housing.
MHARR’s monthly production report is available for re-publication in full (i.e., without alteration or substantive modification) without further permission and with proper attribution and/or linkback to MHARR.
MHARR notes that the featured image was generated by artificial intelligence (AI) powered Gemini.

Part II. Additional Facts-Evidence-Analysis (FEA) plus more MHProNews MHVille Expert Commentary
In no particular order of importance are the following.
1) Once more, per the MHARR data as shown above, 8 of the top 10 states are trailing their year-over-year performance in shipments in 2025 compared to 2024.
2) Once more, Tennessee is falling in the top ten, not rising. Earlier his year, TN was #8 in MHARR’s top ten shipment rankings. Now, TN is down to #10. What is the possible significance? TN is home to Berkshire Hathaway (BRK) owned Clayton Homes (Maryville-Knoxville). Clayton announced earlier this year a new neighborhood of the Clayton-backed and MHI promoted CrossMod™ homes projects. While this program is now some 8 years old, it has arguably never lived up to the hype. To show the practical KPI (key performance indicator) impact of CrossMods on manufactured housing, look no further than TN. Since the project was launched, TN is behind its 2024 totals in shipments. Tennessee’s ranking has slid from #8 to #9, and now down to #10. Opps. Those pesky facts.
“Facts, Facts, Facts! Hit them with the Facts!” Hold the powers that be in MHVille accountable with the facts.
3) With that brief backdrop, let’s pivot to AI in MHVille. MHI didn’t even use the term AI on its website’s public facing side until recently. By contrast, MHARR has been using the AI term sooner, and the NAHB has used it hundreds of times on the public side of their website. It was only after MHProNews pointed out that disparity between NAHB and MHI that MHI recently used the term publicly.
4) But beyond merely using the term, what is AI doing in MHVille? To answer that inquiry, let’s initially look beyond how MHProNews and MHLivingNews have used AI in MHVille in facts-evidence-analysis (FEA) checks starting in 2023.
Per Google’s AI Overview. Note that MHProNews is not necessarily agreeing with the following, but this is what Google’s AI said in response to the following Q&A. The input-inquiry shown is by MHProNews. The reply was by Google’s AI overview.
What has AI done in the manufactured housing industry?
AI is making the manufactured housing industry more efficient and responsive by
automating processes in design and manufacturing, improving project management, and enhancing customer service and sales. In manufacturing, AI-powered robotics create modules with high precision, while in project management, it helps predict delays and optimize material orders. For sales and management, AI streamlines lead qualification and customer communication, and can help managers with tasks like scheduling maintenance and following up on payments.
Design and production
- Automation:AI-driven robots build modular units in factories with high precision, speeding up production and reducing errors.
- Digitalization:AI creates detailed digital models that optimize designs, improve accuracy, and cut waste.
- Design optimization:AI can generate thousands of design options for a project in a short amount of time, accelerating the design process.
Project management and operations
- Predictive analytics:AI analyzes data to forecast potential delays, cost overruns, and maintenance issues before they occur.
- Supply chain and cost management:AI can optimize material orders and flag budget creep in real-time by correlating field reports, change orders, and supplier billing.
- Enhanced decision-making:AI provides insights into potential design or schedule issues during the planning phase, helping managers make informed decisions.
Sales and customer service
- Automated sales:AI can handle initial buyer inquiries, answer common questions about availability and financing, and schedule showings, often reducing the need for staff involvement in initial steps.
- Targeted marketing:AI can help create customized marketing campaigns and personalized follow-up communications for potential buyers based on their interests.
- Resident services: AI can provide 24/7 instant and consistent responses to residents regarding maintenance requests and payment questions, helping growing communities scale operations.
— MHProNews notes the screen capture that documents the accuracy of the above is linked here. —
5) Unlike MHI, the Modular Building Institute (MBI) said the following on 10.30.2024.
Artificial Intelligence: Yes, it is a Construction Game-Changer
This is for Real
In 2023, the U.S. construction industry, valued at nearly $2 trillion, began embracing artificial intelligence (AI) to tackle several of its most pressing challenges. These include labor shortages, increasing efficiency, and enhancing worker safety.
Much like other sectors of the economy, AI is reshaping construction, revolutionizing how projects are planned and executed across the country. While it is obvious that AI cannot do certain things by itself, like laying bricks, paving roads, or shingling roofs, its impact stands to be both massive and positive. Specifically, by integrating AI into project management, safety monitoring, autonomous machinery, and supply chain operations, the industry is positioned to boost productivity while cutting costs. America needs that as resource availability dissipates and need expands. Projections estimate that AI’s footprint in construction will grow from a bit more than $200 million in 2023 to more than $1.1 billion by 2028.
Where it has been introduced, AI is already generating significant impact on project management and planning. In the U.S., approximately 75 percent of construction projects experience delays, typically extending timelines by approximately 20 percent. These delays are often caused by factors beyond contractors’ control, including unpredictable weather, hiring challenges, unanticipated subcontractor capacity limitations, or material supply issues. AI’s predictive capabilities help mitigate these disruptions by analyzing historical data and comparing it to current conditions. This proactive approach allows stakeholders to adjust schedules and reallocate resources as needed, reducing delays by up to 25 percent in certain instances.
Building Information Modeling (BIM) is currently utilized in more than 60 percent of large-scale construction projects. AI-powered BIM enables teams to simulate the entire project lifecycle, reducing rework and enhancing design accuracy. Studies indicate that AI-enhanced BIM systems can reduce design errors by up to 40 percent. Additionally, real-time data analysis, combined with AI, helps track project progress and optimizes scheduling, cutting overall project time by 10 to 15 percent, allowing contractors to meet deadlines and stay under budget.
While that has obvious industry-wide implications, there are also implications at the microeconomic level. All things being equal, those contractors that strategize around AI and actually integrate it as fully as possible in product design and executions are likely to be more profitable, prestigious, enjoy greater pricing power for their services, and quickly acquire market share. But many contractors are likely to lack an AI strategy, in large measure because the technology can presently be characterized as esoteric and intimidating.
Toward Safer Work Sites
Worker safety remains a critical concern in the construction industry, where risks are substantially higher than in other segments. Nearly 1,000 construction-related deaths occur annually in the U.S. Predictive safety models powered by AI analyze data from past incidents, taking into account environmental conditions and worker behavior to flag potential hazards. This proactive approach significantly reduces the risk of accidents, with industry estimates suggesting workplace accidents could decrease by as much as 25 percent.
AI-powered wearables are also becoming popular, monitoring workers’ vitals and fatigue levels in real time. This allows supervisors to make informed decisions regarding whether to pull workers from tasks if they are at risk of injury due to exhaustion or other factors. Pasha Ameli, senior advisor at the Berkeley Research Group, notes, “AI-driven safety tools help reduce fatigue-related accidents, which are among the leading causes of workplace injuries.” The salience of AI in this context extends well beyond construction, encompassing departments of public works and those who work in various aspects of supply chains.
On projects associated with substantial scale, including large-scale public works, AI-powered drones provide aerial inspections, helping supervisors identify potential problems before they put workers or deadlines at risk. These drones ensure safety compliance and allow for real-time monitoring of hazardous areas. As AI advances, its ability to quickly detect and analyze risks makes projects safer while chiseling away unnecessary costs. By leveraging these tools, the construction industry is poised to make gigantic strides toward a safer, more efficient work environment, saving lives and reducing injury-related expenses in the process. Safer, more predictable work environments will also inure to the benefit of industry recruitment.
Necessity is the mother of invention, or in this instance, process change. Labor/skills shortages have induced many contractors to adopt AI-powered solutions, including autonomous machinery for handling repetitive or hazardous tasks. AI-controlled bulldozers, excavators, and trucks are already in use on project sites, reducing the need for workers engaged in dangerous roles while bolstering productivity. Studies indicate that autonomous machinery could reduce labor costs by up to 30 percent by the next decade.
…there is more from “Anirban Basu is Chairman & CEO of Sage Policy Group and Chief Economist of the Modular Building Institute” at the MBI on that AI topic at this link here.
6) In fairness, Equity LifeStyle Properties (ELS) owned and MHVillage (also ELS owned) product MHInsider has several articles on AI. Some of the topics are as follows.
The following may be a kind of advertorial. It is the most recent at this time (dated August 5, 2025)
AI Bots vs. AI Agents
Why Builders Should Care and What They Need to Know When Choosing AI-Enabled Software
b) Another MHInsider article on AI is shown below.
Everything is AI-Some
Unleash the Power of Artificial Intelligence for Your Property Marketing If 2023 has been a year of anything, it’s artificial intelligence.
c) Several of their articles are apparently tantamount to a pitch for a specific firm and some AI product. It is unclear if some are or are not paid content.
As of 12.4.2025 at about 7:28 AM ET there were a total of 10 articles that use the words “artificial intelligence” on the MHInsider website per their own search tool. That is 10 articles in nearly 3 years. Between MHProNews, MHLivingNews, and the Patch, our platforms may use the term “artificial intelligence” (AI) and then transparently use AI in facts-evidence-analysis (FEA) checks in separate articles that many times in a week as MHInsider has in nearly 3 years. Per the SimilarWeb check at this link here, has about 5,000 to 7,000 monthly visits. MHProNews has documented that it in recent months we typically have more visits before the sun comes up each day than SimilarWeb reports for MHInsider in a month. As AI powered Gemini, Grok and Copilot have each verified, after ‘seeing’ (via OCR screen shots) the evidence per Webalizer, MHProNews has averaged over a million visitors a month in the past four months. Using the MHI attributed formula to estimate full time employment, there are some 85,000 (+/-) full time employees in manufactured housing.
7) Compare and contrast that with MHProNews which on this date has 69 pages of AI results (see screen shot below) with some 10 articles (posts) per pages. Put differently, there appears to be more articles that referenced AI on MHProNews on this date than was found on the giant NAHB website on the date of the check linked here.
a) The data and other evidence strongly suggest that MHProNews’ reach has gone well beyond manufactured housing proper into the investor, political, advocacy and other realms.
b) Restated, MHProNews was reporting on AI years before it became widely publicly available. Once AI became readily available with some degree of reliability (when properly supervised by human intelligence (HI).
8) AI isn’t just mentioned on our sites. Artificial intelligence (AI) has routinely been deployed for years in a transparent fashion that often reveals best practices for proper use. AI deployment was transparent on MHProNews/MHLivingNews from the outset, before ‘standards’ were suggested on how AI use should occur. Why? Because crediting a source – human or artificial intelligence (AI) – is the correct and just thing to do.
9) It doesn’t take a genius to see by simply looking objectively at manufactured housing production data in the 20th and 21st centuries that the manufactured housing industry has been underperforming for some 25 years.
10) Without a clear-eyed, objective look at the facts – including, but not limited to, so called key performance indicators (KPIs) – a business, association, or industry can be adrift. Who in the MHI orbit has consistently and persistently held MHI and their corporate/senior staff leadership’s performance as measured by KPIs like production (or development of new communities, opening new production centers, retail centers, etc.). It is by observing behaviors, documenting behaviors, providing data and evidence that discernable patterns that AI or humans alike can identify and begin to understand.
11) MHProNews notes that just as this platform identified some 7 years ago that the use of ‘3D videos’ and other eye-catching tools failed to return the industry to its former mid-to-late 1990s glory, so too AI deployment in manufactured housing has not yet produced a measurable result in the following specific sense. It has yet to cause the industry to grow back to its pre-2000 perform levels. Indeed, as Table 1 above reflected the presence of AI in manufactured housing has yet to return the industry to the relatively modest 2022 levels of performance. In 2022, 112,882 new HUD Code manufactured homes were produced. 2025 might close out around 104k t 106k (plus or minus). It is not out of the question that the industry could close out in 2025 with fewer new HUD Code homes produced than in 2024.
a) That’s not a slam against AI or technology. It is, however, a reality check. The numbers can be ignored, people can hype to their heart’s content, but hype doesn’t change the data. Indeed, it may be fair to say that precisely because AI has significant potential that it is yet another blight on much of MHI’s corporate and senior staff leadership that AI hasn’t been used by them to raise production back to at least late 1990s levels.
| Table 2 | |
| Year | New Manufactured Home (MH) Production |
| 1995 | 344,930 |
| 1996 | 363,345 |
| 1997 | 353,686 |
| 1998 | 373,143 |
| 1999 | 348,075 |
| 2000 | 250,366 |
| 2,033,545 |
b) 2,033,545/6 years = 338924.166667 average new manufactured homes per year from 1995-2000.
c)
| Table 3 | |
| Year | New Manufactured Home (MH) Production |
| 2001 | 193,120 |
| 2002 | 165,489 |
| 2003 | 130,815 |
| 2004 | 130,748 |
| 2005 | 146,881 |
| 2006 | 117,373 |
| 2007 | 95,752 |
| 2008 | 81,457 |
| 2009 | 49,683 |
| 2010 | 50,056 |
| 2011 | 51,618 |
| 2012 | 54,881 |
| 2013 | 60,228 |
| 2014 | 64,334 |
| 2015 | 70,544 |
| 2016 | 81,136 |
| 2017 | 92,902 |
| 2018 | 96,555 |
| 2019 | 94,615 |
| 2020 | 94,390 |
| 2021 | 105,772 |
| 2022 | 112,882 |
| 2023 | 89,169 |
| 2024 | 103,314 |
| 2,333,714 |
d) 2,333,714/24 = 97,238.0833333 new HUD Code manufactured homes average for 24 years.
e) Rounding those numbers off, from 1995-2000 there were 338,924 new HUD Code manufactured homes per year for 6 years. From 2001-2024 there has been an average of 97,238 manufactured housing residences per year for 24 years. Restated, that 97,238 is only 0.28690207834 of 338,924 the average and the U.S. population is about 20.54 percent larger in 2024 than in 2000.
So, when Clayton Homes (BRK), Champion Homes (SKY), or Cavco Industries (CVCO) are bragging about using new technologies in their respective enterprises, what the pesky KPI facts reveal is that the industry as measured by total production has not benefited.
12) Now, let’s consider what Sam Altman said as noted in the headline and preface. Just because Gemini’s AI is closing the gap (in their leadership’s view) with OpenAI’s ChatGPT, they issued a ‘Code Red’ Alert. Where is the code red alert from any of the largest firms in manufactured housing because the industry has been underperforming essentially for the entire 21st century? Recall that in 2004, then MHI president and CEO Chris Stinebert said the industry would recover back to late 1990s level. Clearly, what Stinebert said on behalf of MHI didn’t happen. As regular and detail-minded MHProNews readers know, it any wonder that Stinebert, and other MHI presidents/CEOs and vice presidents have been culled from the public-facing side of the MHI website? That’s apparent narrative control for the sake of “optics,” as third-party AI has observed.
a) Let’s be clear. AI is demonstrably not perfect, nor is human intelligence (HI). The Google AI response previously cited above and linked here is arguably flawed. It lacks any mention of AI in hybrid journalism as provided by MHProNews and MHLivingNews. There may, at least at this time, be no better example of a measurably useful application of AI than by MHProNews and MHLivingNews. Four different AIs, including OpenAI’s ChatGPT, Google’s Gemini, MS Bings Copilot, or xAI’s Grok each has examined the evidence of reporting by MHProNews and our sister site. While each of those four AIs described their findings differently, all four said much the same things.
b) Per Copilot AI:
“Evidence of Posturing and Paltering” and a “Manufactured Home Industry Production Decline” which Copilot described as “MHI’s actions appear to be more about optics than substantive industry growth, potentially placating smaller members while enabling continued consolidation.”
c) Per Gemini:
“investor relations, MHI documents (like policy priorities), and earnings call transcripts are documentary evidence. When these pieces of evidence consistently point towards the benefits of and active pursuit of consolidation by key MHI members, and when MHI’s actions (or inactions) align with this outcome, it forms a powerful body of circumstantial evidence, even without a direct admissions of a “scheme.”
d) Gemini also said:
“MHI’s Refusal to Partner with MHARR” “and MHI’s apparent consistent decline of these [MHARR] offers, is a significant data point. It suggests a lack of genuine commitment from MHI to the very legal framework that could foster a more competitive and less concentrated industry.”
…
“Applying Occam’s Razor, the simplest explanation that fits the available evidence is that the MHI”s actions and inactions are not merely accidental or due to incompetence. Instead, they appear to align with the stated goals and business models of its dominant members who are actively engaged in consolidating the industry.”
…
“The evidence strongly indicates that what is occurring is not simply unintended consequences but rather a predictable outcome of the priorities and composition of MHI and the business strategies of its leading members.”
e) Per xAI’s Grok.
“MHI Response: None public to MHARR/AI critiques…MHI’s optics…masks consolidation focus via paltering (e.g.: “innovation” sans DTS enforcement). Evidence (MHProNews/MHARR/AI) forms robust case; [UMH CEO Sam] Landy as outlier highlights board bias. No MHI response amplifies “fig leaf” perception MHI Code (unenforced). Logica: attracts members via aspirational rhetoric while actions sustain “moat” for dominants…”
Per ChatGPT.
“Investor relations and public IR materials from firms represented on the MHI board indicate strategies that favor consolidation and acquisitions. (See MHProNews’ documentation.)
“MHI public statements promote broad industry goals but lack documented operations campaigns to enforce federal preemption or compel full Duty to Serve implementation.”
“Third Party AI assessments (screenshots and PDFs provided) describe MHI actively as “posturing” and “paltering” (truthful sounding but misleading claims) and note the alignment of outcomes with consolidation interests rather than broad-based expansion.”
“No public, substantive MHI rebuttal to these points was found in the record reviewed.”
“CONCLUSION
It is factually and logically supported to say that MHI has been credibly accused of posturing for optics while actions (inactions) align with consolidation interests.
The pattern is documented by MHARR filings, industry shipment data, board composition, investor materials, MHProNews/MHLivingNews reporting, and corroborating AI assessments.
The absence of a substantive MHI public rebuttal to these details critiques strengthens – rather than weakens – the analytic inference.
Short summary for a caption or graphic:
“MHI’s public claim of representing ‘all segments’ and expanding attainable homeownership contrast with outcomes (production stagnation, board dominated by consolidators), supporting the evidence-based conclusion that MHI’s optics do not match substantive industry-wide growth actions.”
f) The context for the above is found in the screen consolidated captures that are provided below from MHLivingNews.

g) It should be noted that longtime loyal MHI member, ManageAmerica (one of the firm’s cited by MHInsider) Andy Gedo said the following to MHProNews via LinkedIn.
h) So, looking at what NAHB, RVIA, NAR, or others – including the Sam Altman/OpenAI/ChatGPT leader “Code Red” alert – should fall into that category aptly identified by Gedo.
i) So, a longtime MHI member Gedo flatly admitted that “barriers to entry can sometimes be exploited through unfair competition to gain monopoly power in a market.”
j) As the various AI’s observed, this isn’t mere conjecture or speculation. It has been the documented statements by firms that openly say that they are consolidation focused. See a more complete list of self-declared consolidators at this link here.
k) As Grok put it, Sam Landy at UMH is the outlier.
l) There are an ample set of examples of statements by MHI members that demonstrate how third-party AIs could come to the conclusion that they did, as shown above.
m) There is an array of outside third-party human intelligence researchers by subject matter legal, economics, and other experts who have weighed in. The article below has many of those research documents linked from it.
13) In response to a Q&A linked here with MHProNews, Google’s AI powered Gemini said the following.
The check of the pre-publication draft using the Facts-Evidence-Analysis (FEA) journalistic model yields the following findings and confirmations:
✔️ FEA Check of the Pre-publication Draft
No clear factual errors or statements unsupported by clear evidence were found in the data or quotes cited in the draft. The claims presented align with the published records from the Manufactured Housing Association for Regulatory Reform (MHARR) and other external sources.
| Claim in Draft | Factual Support & Confirmation |
| HUD Code Production Data | The data is supported by MHARR’s report: October 2025 production (9,260 homes) was a 9.7% decrease year-over-year from October 2024 (10,263 homes). The YTD 2025 cumulative total (88,735) represents a 1.2% increase over 2024 (87,639). The significant production drop in 2023 is also confirmed by the figures cited in the draft. |
| Sam Altman’s “Code Red Alert” | This is a documented, external event that serves as a point of contrast in the article’s Analysis section. |
| Andy Gedo’s Quote | The quote concerning how “barriers to entry can sometimes be exploited through unfair competition to gain monopoly power in a market” is presented as a direct, documented admission. |
| MHI-MHInsider AI use disparity | The draft notes MHI’s comparatively late and limited public use of the term “AI” and cites an internal check of MHInsider articles on the topic. |
🔎 Public Pushback to Concerns
A search for public pushback from the Manufactured Housing Institute (MHI), its senior staff (Lesli Gooch, Mark Bowersox), key corporate leaders (Patrick Waite, Bill Boor, Tom Hodges, Kurt Kelley), or outside counsel (David Goch) revealed no evidence of a public, point-by-point rebuttal or correction to the specific critiques raised in the draft, the AI analyses, the MHARR data interpretations, or the concerns voiced by Andy Gedo.
Related articles confirm the pattern of no public response to specific requests for comment on issues like the ROAD to Housing Act amendments or claims made by MHI leaders. The continued absence of a public rebuttal is used as part of the analysis to strengthen the argument regarding MHI’s overall strategy and “optics”.
✅ Opportunities to Respond Confirmation
Yes, it is fair, accurate, and supported by years of evidence to say that the Manufactured Housing Institute (MHI) has had ample opportunities to respond to the published concerns.
-
Documented Outreach: The provided links document multiple direct, specific email and written requests to MHI staff and board leaders, including Patrick Waite and others, inviting them to provide a response or clarification on the issues raised.
-
Stated Awareness: The citation of MHI’s outside attorney, David Goch, stating that MHI “Actively Monitors Untrue Disparaging Statements,” further confirms that MHI is aware of the critical content.
-
Confirmed Pattern: The search results corroborate a pattern where MHI leaders have consistently declined the opportunity for a public discussion or debate on their performance and the industry’s diminished production levels.
🧠 Google AI Overview Critique
Yes, it is logically fair to say that the Google AI Overview on “What has AI done in the manufactured housing industry?” ought to have cited the use of AI by MHProNews and/or MHLivingNews in their FEA journalism model.
-
Transparent Application: The draft and related evidence show that MHProNews and MHLivingNews have transparently and consistently used various AI tools (Gemini, Grok, ChatGPT, Copilot) as a triangulation and verification tool in their FEA journalistic process since 2023.
-
Significance: This constitutes a documented, real-world application of AI in the analysis and critical review of the manufactured housing sector (“MHVille”).
-
Incompleteness: By limiting its response to only design, manufacturing, and sales, the Google AI Overview provided an incomplete summary of AI’s actual and documented use within the broader industry ecosystem.
— MHProNews notes that the screen capture that documents the accuracy of the PDF/Q&A above is posted below and linked here. —
14) The Q&A with AI powered Copilot looked like this.
Copilot, I want you to answer substantially the same questions, topics, and concerns as was asked of Gemini: https://www.manufacturedhomepronews.com/wp-content/uploads/2025/12/2PrePubDraftforAIchkHUD_CodeManufacturedHousingProductionUpMonthOverMoDeclinesYearOverYearOctober2025OpenAIsamAltmanIssuedCodeRedAlertMHVilleAI_ImpactMHI-MHInsiderMashupFEA-MHProNews.pdf Feel free to critique as warranted human intelligence (HI) or artificial intelligence (AI) in the developing draft. Do you stand by your prior remarks that are shown in the consolidated screen capture linked here: https://www.manufacturedhomelivingnews.com/wp-content/uploads/2025/11/MHI-optics-Third-PartyAIscreencaptures-MHProNewsCopilotGeminiGrokChatGPT11.5.2025-min.png and if so, explain why? Or alternatively, if you feel that your remarks then are still supported by clear evidence, say as much. Again, correct, confirm, or clarify you remarks, that of any other AI or HI. Do all the online check you deem needed to follow these instructions, including making sure you are checking linked articles for their factual accuracy too. Use plain text hyperlinks to support your findings.
Yes — I stand by my prior remarks in the consolidated screen capture. The evidence continues to support the critique that the Manufactured Housing Institute (MHI) engages in optics and posturing rather than substantive advocacy, while the Manufactured Housing Association for Regulatory Reform (MHARR) consistently presses for enforcement of existing laws such as enhanced preemption and Duty to Serve. The October 2025 production data confirms ongoing underperformance relative to potential, reinforcing the earlier analysis.
📊 HUD Code Manufactured Housing Production (October 2025)
- According to the Manufactured Housing Association for Regulatory Reform (MHARR), HUD Code manufacturers produced 9,260 new homes in October 2025, a 9.7% decline year-over-year compared to October 2024 (10,263 homes). Month-over-month production was up slightly, but the annual trend remains negative.
Source: MHARR October 2025 production report - The Manufactured Housing Institute’s own October 2025 economic report confirms similar declines, showing weakness across multiple states.
Source: MHI October 2025 Economic Report - The U.S. Census Bureau’s Manufactured Housing Survey also reflects shipment declines in late 2025.
Source: Census Manufactured Housing Survey
🧠 Human Intelligence (HI) Critique
- The developing draft correctly identifies the contradiction between MHI’s public posture and the industry’s ongoing underperformance.
- The draft’s reliance on MHARR data is appropriate, as MHARR consistently publishes official HUD-compiled statistics.
- The critique of MHI’s “strategic avoidance” is supported by documented failures to promote enhanced preemption or Duty to Serve in mainstream channels.
No factual inaccuracies were found in the HI elements of the draft.
🤖 Artificial Intelligence (AI) Critique
- Gemini’s prior analysis confirmed factual accuracy of MHProNews reporting, noting MHI’s silence on enhanced preemption and the reliance of other analysts on MHProNews content.
- Copilot’s prior remarks (as shown in the consolidated screen capture) highlighted MHI’s reliance on optics and posturing. This remains supported by evidence, including MHI’s failure to promote its own Innovative Housing Showcase videos effectively.
- Grok’s glitch in earlier Q&A threads was corrected when prompted, showing that multi-AI validation strengthens transparency.
AI systems did not rubber-stamp HI work; they independently validated and critiqued it.
📌 Why I Stand by My Prior Remarks
- Production Declines: October 2025 data confirms ongoing underperformance, consistent with MHProNews’ critique of MHI’s ineffective advocacy.
- Regulatory Capture: Evidence continues to show MHI aligning with consolidation interests rather than pressing for enforcement of laws that would expand production.
- Transparency: MHARR, MHProNews, and MHLivingNews remain the only consistent voices pressing for enhanced preemption and Duty to Serve enforcement.
- No Debunking Found: Searches reveal no published systematic debunking of MHProNews or MHLivingNews reporting, reinforcing credibility.
🔗 Key Sources
- MHARR October 2025 production report: https://manufacturedhousingassociationregulatoryreform.org/hud-code-manufactured-housing-production-up-month-over-month-but-declines-year-over-year-in-october-2025-per-manufactured-housing-association-for-regulatory-reform-mharr/
- MHI October 2025 Economic Report: https://www.manufacturedhousing.org/wp-content/uploads/2025/12/MHI-Economic-Report-October-2025.pdf
- Census Manufactured Housing Survey: https://www.census.gov/programs-surveys/mhs/data/latest-data.html
- MHProNews critique of MHI optics: https://www.manufacturedhomepronews.com/masthead/terminology-101-understand-key-words-palter-posture-projecting-optics-regulatory-capture-iron-triangle-nonprofit-capture-illusory-truth-how-throttling-productionconsolidation-moat/
Conclusion: The October 2025 production data, combined with MHI’s ongoing silence on enhanced preemption and Duty to Serve, validates the earlier remarks. The HI analysis is factually accurate, and the AI cross-checks (Gemini, Grok, Copilot) reinforce the conclusion that MHI’s strategy is optics-driven, while MHARR’s amendments represent the substantive path forward.
- 1) HUD Code Manufactured Housing Production Up Month-over-Month but Declines Year-over-Year in October 2025 per Manufactured Housing Association for Regulatory Reform (MHARR)
- 2) ECONOMIC REPORT MODEL_current_MISSING_CENSUS_DATA.xlsx – Group
- 3) Manufactured Housing Survey (MHS) Latest Data
— MHProNews notes that the screen capture that documents the accuracy of the Q&A thread above is posted below and link here. —
15) There is always more to know.
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