STOCK TITAN

Auddia Highlights LT350’s Parking-Lot Canopy Network as an Alternative to Farmland-Devouring AI Megacenters

Rhea-AI Impact
(Moderate)
Rhea-AI Sentiment
(Neutral)
Tags
AI

Auddia (NASDAQ: AUUD) highlighted LT350’s distributed AI data center canopies as an alternative to large, land-intensive AI megacenters. The model embeds modular compute, solar, and batteries into parking-lot canopy ceilings, using existing commercial parking areas to add AI capacity without new land consumption.

According to Auddia, the LT350 approach aims to address public concerns about farmland loss, water use, grid strain, and quality-of-life impacts while giving property owners incremental airspace revenue and amenities like shade, weather protection, and optional EV charging.

Loading...
Loading translation...

AI-generated analysis. Not financial advice.

Positive

  • None.

Negative

  • None.

News Market Reaction – AUUD

-32.49%
48 alerts
-32.49% News Effect
-38.5% Trough in 14 hr 16 min
-$2M Valuation Impact
$4.87M Market Cap
0.4x Rel. Volume

On the day this news was published, AUUD declined 32.49%, reflecting a significant negative market reaction. Argus tracked a trough of -38.5% from its starting point during tracking. Our momentum scanner triggered 48 alerts that day, indicating elevated trading interest and price volatility. This price movement removed approximately $2M from the company's valuation, bringing the market cap to $4.87M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Public opposition to AI datacenters: 71% Strong opposition share: 48% Utah Stratos campus size: 40,000 acres +5 more
8 metrics
Public opposition to AI datacenters 71% Gallup poll share of Americans opposing AI datacenters in their communities
Strong opposition share 48% Gallup poll share strongly opposed to local AI datacenters
Utah Stratos campus size 40,000 acres Planned AI data center campus in Box Elder County, Utah
Utah Stratos power demand 9 gigawatts Expected eventual power use of Utah Stratos AI campus
Michigan farmland portfolio 50,000 acres Farmland acquired partly for solar and data centers
Average parking share in city cores 22% Average land in large U.S. city centers used for off-street parking
San Bernardino parking share 49% Share of central San Bernardino area devoted to parking lots
Patent count for LT350 16 patents Issued and pending patents cited for LT350 in prior filings

Market Reality Check

Price: $1.3100 Vol: Volume 28,176,215 is 2.08...
high vol
$1.3100 Last Close
Volume Volume 28,176,215 is 2.08x the 20-day average 13,516,791. high
Technical Price 2.37 is trading below the 200-day MA at 9.79, far under the prior 52-week high 56.133.

Peers on Argus

Sector scanner shows 2 peers moving down (e.g., SOPA about -18.04%, IDAI about -...
1 Up 2 Down

Sector scanner shows 2 peers moving down (e.g., SOPA about -18.04%, IDAI about -3.38%) and 1 up (FRGT about +2.38%). Sector note cites a median move of -10.7%, indicating broader pressure in related names.

Common Catalyst No peer-specific news headlines reported; momentum appears sector-driven rather than news-driven.

Previous AI Reports

5 past events · Latest: May 18 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
May 18 AI infrastructure economics Positive +20.9% Outlined LT350’s GPU pricing benchmarks and large potential GPU footprint.
May 12 AI healthcare spotlight Positive +6.5% Showcased Influence Healthcare AI specialty-care platform ahead of S-4 filing.
May 05 AI infra constraints Positive -8.1% Highlighted LT350’s land, power, and water advantages versus large datacenters.
May 04 AI travel platform Positive +1.6% Introduced Voyex FlightFix agentic AI rebooking infrastructure for disruptions.
Apr 23 AI patent expansion Positive +30.8% Announced LT350’s 14th allowed patent, with 16 issued and pending total.
Pattern Detected

Across recent AI-tagged news, 4 of 5 events with generally positive narratives saw positive next-day moves, with 1 negative reaction, and an average move near 10.34%.

Recent Company History

Over the last month, Auddia has repeatedly highlighted its AI strategy. Earlier AI-tagged releases showcased LT350’s distributed parking-lot canopy infrastructure, the Voyex travel-disruption platform, Influence Healthcare’s specialty-care model, and LT350’s expanding patent estate, now spanning 16 issued and pending patents. These updates sit alongside the planned McCarthy Finney combination. The current announcement continues this LT350 narrative, emphasizing community-friendly deployment of AI datacenter capacity above existing parking lots.

Historical Comparison

+10.3% avg move · Recent AI-tagged Auddia news averaged a 10.34% move, with prior LT350-focused updates sometimes prod...
AI
+10.3%
Average Historical Move AI

Recent AI-tagged Auddia news averaged a 10.34% move, with prior LT350-focused updates sometimes producing outsized reactions versus that baseline.

AI-tagged news traces a progression from expanding LT350’s patent moat and infrastructure concept, to detailing economics and platforms like Voyex and Influence Healthcare, all feeding into the planned McCarthy Finney AI holding structure.

Market Pulse Summary

The stock dropped -32.5% in the session following this news. A negative reaction despite constructiv...
Analysis

The stock dropped -32.5% in the session following this news. A negative reaction despite constructive LT350 positioning would fit a pattern where at least one positive AI-focused update previously saw a -8.11% move. With the share price still far under the 9.79 200-day MA and well below the 56.133 52-week high, financing needs and prior best-efforts offerings from recent filings remain key overhangs that could weigh on sentiment.

Key Terms

ai datacenters, gpu, micro–data centers, liquid cooling, +4 more
8 terms
ai datacenters technical
"71% of Americans oppose building AI datacenters in their communities"
AI datacenters are large facilities that house the specialized computers, networking gear and power/cooling systems needed to run artificial intelligence models and process massive amounts of data. Think of them as high-performance factories for AI tasks; their size, efficiency and location affect how quickly and cheaply a company can deliver AI products and services, which in turn influences costs, revenue potential and capital needs that matter to investors.
gpu technical
"LT350 integrates modular GPU, memory, storage, solar, and battery cartridges"
A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.
micro–data centers technical
"creating micro–data centers that do not occupy parking spaces"
Micro–data centers are small, self-contained computing hubs that house servers, storage and networking in a compact, often prebuilt enclosure deployed close to where data is generated or used. Think of them like a neighborhood power substation for computing—providing fast local processing so information doesn’t have to travel far. Investors care because they can lower delivery costs, cut delays, enable new services (like real-time analytics or IoT), and offer hardware, hosting or service revenue streams with potentially lower installation and operating scale than large central data centers.
liquid cooling technical
"Cartridge-integrated liquid cooling is being engineered to minimize water use"
Liquid cooling is a method that uses a flowing liquid—like water or a special coolant—to carry heat away from electronic components, similar to how a car radiator moves heat away from an engine. For investors, it matters because it can lower energy and maintenance costs, enable higher-performance computing, reduce the footprint of data centers, and support sustainability targets, all of which can affect a company’s operating margins and capital spending needs.
closed-loop technical
"enable closed-loop or alternative-cooling strategies that avoid massive withdrawals"
A closed-loop system automatically measures its own output and feeds that information back to adjust inputs, operating without the need for constant human intervention — like a thermostat that senses room temperature and turns the heater on or off to keep a set point. Investors pay attention because closed-loop products often deliver more consistent performance, lower operational costs, and stronger regulatory or competitive advantages, which can improve revenue prospects, margins and risk profiles for companies that make or use them.
hyperscale data centers technical
"as public opposition to traditional AI data centers reaches new highs"
Hyperscale data centers are enormous facilities that house thousands of computer servers to store and process vast amounts of digital information. They operate at a massive scale to support cloud computing, streaming services, and online platforms, making them crucial for handling the growing digital demands of businesses and consumers. For investors, these centers represent key infrastructure that enables digital innovation and often drive significant technological growth.
battery storage technical
"On-site solar and battery storage are designed to reduce dependence on local grids"
Battery storage is a system that stores electricity in large rechargeable batteries so power can be used later, like a reusable fuel tank for the grid. Investors care because it smooths out when energy is available vs. when it’s needed, can lower costs, create new revenue from selling stored power at peak times, and reduce reliance on unpredictable energy sources, affecting utility and clean-energy company valuations.
ai infrastructure technical
"We can build AI infrastructure in the airspace above parking lots that already exist"
AI infrastructure consists of the hardware, software, and systems needed to develop, run, and support artificial intelligence applications. Think of it as the foundation and tools that enable AI to process large amounts of data quickly and accurately, similar to how a strong foundation supports a building. For investors, AI infrastructure is important because it underpins advancements in technology that can drive new business opportunities and competitive advantages.

AI-generated analysis. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google
Add on Google

A recent Gallup poll found that 71% of Americans oppose building AI datacenters in their communities

Repurposing a small share of existing U.S. parking lots could host massive AI datacenter capacity without consuming new land, water, or community goodwill

A more politically and environmentally durable model for AI datacenter expansion

BOULDER, Colo., May 19, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. (NASDAQ: AUUD) (“Auddia” or the “Company”) today released a new analysis showing that LT350’s distributed AI data center canopies deployed in the airspace above existing parking lots could meet a significant share of future AI compute demand using only a fraction of the commercial parking already built across the United States.

The announcement comes as public opposition to traditional AI data centers reaches new highs. A recent Gallup poll found that 71% of Americans oppose building AI data centers in their communities, including 48% who are strongly opposed. That number is higher than opposition to local nuclear power plants. Concerns center on land consumption, water use, power demand, and quality-of-life impacts.

“Americans are clearly saying ‘not in my backyard’ to hyperscale data centers,” said Jeff Thramann, Executive Chairman and CEO of Auddia. “LT350’s thesis is simple. We don’t need to destroy more greenspace. We can build AI infrastructure in the airspace above parking lots that already exist, already have power and access, and are already zoned for commercial use.”

The problem: AI data centers are devouring land and farmland

Across the country, communities are pushing back against mega datacenter proposals that require tens of thousands of acres, often in rural areas and on productive farmland.

  • Utah “Stratos” project, a newly approved AI data center campus in Box Elder County, Utah, is planned at 40,000 acres. That is roughly 2.5 times the size of Manhattan and is expected to eventually consume up to 9 gigawatts of power, more than double Utah’s current statewide electricity use.
  • In Michigan, a 50,000-acre farmland portfolio was recently acquired in part to capitalize on demand for solar and data centers on agricultural land, raising alarms about the long-term impact of AI infrastructure on U.S. food production.

At the same time, a growing body of work shows that American cities have already paved vast areas for parking:

  • The Parking Reform Network’s mapping of 80+ U.S. city centers shows that on average, 22% of land in large city cores is dedicated to off-street parking, with some cities like San Bernardino, California, reaching 49% of their central area as parking lots.
  • The U.S. Geological Survey has produced national datasets estimating the extent of parking lots across the lower 48 states, confirming that parking is a major land use in the American built environment.

“We’re watching proposals for data centers the size of small states while oceans of asphalt sit underutilized,” Thramann said. “It makes no sense to bulldoze farmland when we can build a second-use layer of AI infrastructure above parking that’s already commercialized.”

The LT350 model: Second-use infrastructure in parking lot airspace

LT350 integrates modular GPU, memory, storage, solar, and battery cartridges into the ceiling of proprietary parking-lot canopies, creating micro–data centers that do not occupy parking spaces or require new greenfield land. The canopies are designed as a second-use application of existing commercial real estate:

  • No new land take: All infrastructure lives in the canopy ceiling above existing stalls; parking capacity is preserved.
  • Second-use economics: Property owners earn incremental revenue from airspace that currently generates no rent.
  • Community upgrade, not an imposition: Canopies provide shade, weather protection, and optional EV charging while hosting AI compute overhead.

“Because LT350 builds up instead of out, each canopy effectively duplicates the utility of the underlying asphalt,” said Thramann. “If we repurpose even a modest percentage of existing parking lots as LT350 canopy deployments, we can stand up enormous AI capacity without asking any community to sacrifice farmland, viewsheds, or water security.”

Aligning with public sentiment: AI without the backlash

The Gallup findings show that opposition to AI data centers is driven primarily by resource use and land impact, not by the idea of digital infrastructure itself.

LT350’s architecture is designed to directly address those concerns:

  • Land: Uses only already-developed commercial parking, preserving farmland and open space.
  • Water: Cartridge-integrated liquid cooling is being engineered to minimize water use and enable closed-loop or alternative-cooling strategies that avoid the massive withdrawals associated with many hyperscale sites.
  • Power: On-site solar and battery storage are designed to reduce dependence on local grids and avoid the rate shocks that have fueled community anger around traditional data centers.

“Communities are right to push back on projects that drain their water, spike their power bills, and pave over their farms,” Thramann added. “LT350 is being built to deploy AI infrastructure that fits inside the footprint of the world we’ve already built.”

For information about LT350, please visit www.LT350.com.

LT350’s whitepaper, Distributed, Power-Sovereign AI Infrastructure for the Inference Economy, is available here.

About the Merger to form McCarthy Finney

Auddia entered into a definitive merger agreement on February 17, 2026. The merger contemplates a business combination between Auddia Inc. and Thramann Holdings, LLC, a single member Colorado LLC. Thramann Holdings fully owns LT350, Influence Healthcare, and Voyex, three early-stage AI native operating companies. Upon merger completion, Auddia will change its name to McCarthy Finney and trade under the ticker MCFN. McCarthy Finney is an AI holding company that will deliver AI and Web3 services to its four portfolio companies: LT350, Influence Healthcare, Voyex, and Auddia.

  • LT350 is a distributed AI data center company with 13 issued, 1 allowed, and 2 pending patents on a proprietary solar parking lot canopy infrastructure platform that integrates modular battery storage and GPU cartridges into the ceiling of the canopy to turn any parking lot into an AI data center. The Company aims to build the most secure, lowest latency, cost effective, and rapidly deployed network of distributed AI data centers at the edge by leveraging the use of underutilized parking lot space while strengthening the existing power infrastructure of local utilities.
  • Influence Healthcare is a health-tech company leveraging AI, blockchain, and vertical integration to empower surgeons to drive adoption of value based care (VBC) to the surgical specialties. The Company’s mission is to leverage technology and value based enterprises (VBEs) to build an alternative healthcare system that minimizes the corporate practice of medicine, eliminates administrative waste, and enhances the autonomy and pay of health care providers to empower them to improve quality and return the patient physician relationship to the center of medicine.
  • Voyex is a travel services platform that leverages agentic AI, an integrated fintech platform, and utilization of charter and private jet aircraft to significantly improve the travel experience. The Company aims is to alleviate the leading pain points for travelers of lengthy flight delays and cancellations.

About Auddia Inc.

Auddia, through its proprietary AI platform for audio, is reinventing not only how consumers engage with AM/FM radio, podcasts, and other audio content but also how artists and labels promote their music and gain access to mainstream radio audiences. Auddia’s Discovr Radio is the first music-promotion platform to deliver artists guaranteed exposure to radio listeners. Auddia’s flagship audio superapp, called faidr, delivers multiple industry firsts, including:

  • Ad-free listening on any AM/FM music station
  • Content skipping across any AM/FM music station
  • One-touch skipping of entire podcast ad breaks
  • Integrated artist discovery experiences

For more information, visit www.auddia.com

Cautionary Note on Forward-Looking Statements

Certain statements in this communication, other than purely historical information, may constitute “forward-looking statements” within the meaning of the federal securities laws, including for purposes of the “safe harbor” provisions under the Private Securities Litigation Reform Act of 1995, concerning Auddia, Thramann Holdings, and the proposed merger between Auddia and Thramann Holdings (the “Proposed Transaction”) and other matters. These forward-looking statements include, but are not limited to, express or implied statements relating to Auddia’s and Thramann Holdings’ management expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding: the structure, timing and completion of the proposed merger by and between Auddia and Thramann Holdings, and the expected effects, perceived benefits or opportunities of the Proposed Transaction; the combined company’s listing on Nasdaq after the closing of the Proposed Transaction; expectations regarding the structure, timing and completion of the financing needed to close the Proposed Transaction, including investment amounts from investors, timing of closing of the Proposed Transaction, expected proceed, expectations regarding the use of proceeds, and impact on ownership structure; the anticipated timing of the closing; the expected executive officers and directors of the combined company; each company’s and the combined company’s expected cash position at the closing and cash runway of the combined company following the proposed merger and any additional financing; the future operations of the combined company, including research and development activities; the nature, strategy and focus of the combined company; the development and commercial potential and potential benefits of any products and services of the combined company; the cash balance of the combined entity at closing; expectations related to the anticipated timing of the closing of the Proposed Transaction (the “Closing”); the expectations regarding the ownership structure of the combined company; the expected trading of the combined company’s stock on Nasdaq under the ticker symbol “MCFN” after the Closing; and other statements that are not historical fact.

All statements other than statements of historical fact contained in this communication are forward-looking statements. In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. The words “opportunity,” “potential,” “milestones,” “pipeline,” “can,” “goal,” “strategy,” “target,” “anticipate,” “achieve,” “believe,” “contemplate,” “continue,” “could,” “estimate,” “expect,” “intends,” “may,” “plan,” “possible,” “project,” “should,” “will,” “would” and similar expressions (including the negatives of these terms or variations of them) may identify forward-looking statements, but the absence of these words does not mean that a statement is not forward-looking. These forward-looking statements are made based on current expectations, estimates, forecasts, and projections, as well as the beliefs and assumptions of management, concerning future developments and their potential effects. There can be no assurance that future developments affecting Auddia, Thramann Holdings, or the Proposed Transaction will be those that have been anticipated.

These forward-looking statements involve a number of risks and uncertainties, some of which are beyond Auddia’s or Thramann Holdings’ control, or other assumptions that may cause actual results or performance to be materially different from those expressed or implied by these forward-looking statements. These risks and uncertainties include, but are not limited to, the risk that the conditions to the Closing or consummation of the Proposed Transaction are not satisfied, including the failure to timely obtain approval of the proposed merger from Auddia’s stockholders the risk that the required financing is not obtained in a timely manner, if at all; uncertainties as to the timing of the consummation of the Proposed Transaction; risks related to Auddia’s continued listing on Nasdaq until closing of the Proposed Transaction and the combined company’s ability to remain listed following the Closing; uncertainties regarding the impact any delay in the Closing would have on the anticipated cash resources of the combined company, and other events and unanticipated spending and costs that could reduce the combined company’s cash resources; the occurrence of any event, change or other circumstance or condition that could give rise to the termination of the merger agreement; the effect of the announcement or pendency of the merger on Auddia’s or Thramann Holdings’ business relationships, operating results and business generally; costs related to the merger; the risk that as a result of adjustments to the exchange ratio, Auddia’s or Thramann Holdings’ stockholders could own more or less of the combined company than is currently anticipated; risks related to the market price of Auddia’s common stock relative to the value suggested by the exchange ratio; risks related to the inability of the combined company to obtain sufficient additional capital to continue to advance the development of its products and services; costs of the Proposed Transaction and unexpected costs, charges or expenses resulting from the Proposed Transaction; potential adverse reactions or changes to business relationships, operating results, and business generally, resulting from the announcement or completion of the Proposed Transaction;

Actual results and the timing of events could differ materially from those anticipated in such forward-looking statements as a result of these risks and uncertainties. These and other risks and uncertainties are more fully described in periodic filings with the SEC, including the factors described in the section titled “Risk Factors” in Auddia’s Annual Report on Form 10-K for the year ended December 31, 2025, which was originally filed with the SEC on March 6, 2026, subsequent Quarterly Reports on Form 10-Q filed with the SEC, and in other filings that Auddia makes and will make with the SEC in connection with the Proposed Transaction, including the Form S-4 and Proxy Statement described below, as well as discussions of potential risks, uncertainties, and other important factors included in other filings by Auddia from time to time. Should one or more of these risks or uncertainties materialize, or should any of Auddia’s or Thramann Holdings’ assumptions prove incorrect, actual results may vary in material respects from those projected in these forward-looking statements. Nothing in this communication should be regarded as a representation by any person that the forward-looking statements set forth herein will be achieved or that any of the contemplated results of such forward-looking statements will be achieved. You should not place undue reliance on forward-looking statements in this communication, which speak only as of the date they are made and are qualified in their entirety by reference to the cautionary statements herein. Neither Auddia nor Thramann Holdings undertakes or accepts any duty to release publicly any updates or revisions to any forward-looking statements contained herein to reflect any change in its expectations with regard thereto or any change in events, conditions or circumstances on which any such statements are based, except as required by law. This communication does not purport to summarize all of the conditions, risks and other attributes of an investment in Auddia or Thramann Holdings.

No Offer or Solicitation

This communication and the information contained herein is not intended to and does not constitute (i) a solicitation of a proxy, consent or approval with respect to any securities or in respect of the proposed transaction or (ii) an offer to sell or the solicitation of an offer to subscribe for or buy or an invitation to purchase or subscribe for any securities pursuant to the proposed transaction or otherwise, nor shall there be any sale, issuance or transfer of securities in any jurisdiction in contravention of applicable law. No offering of securities shall be made except by means of a prospectus meeting the requirements of Section 10 of the Securities Act of 1933, as amended, and otherwise in accordance with applicable law, or an exemption therefrom. Subject to certain exceptions to be approved by the relevant regulators or certain facts to be ascertained, the public offer will not be made directly or indirectly, in or into any jurisdiction where to do so would constitute a violation of the laws of such jurisdiction, or by use of the mails or by any means or instrumentality (including without limitation, facsimile transmission, telephone and the internet) of interstate or foreign commerce, or any facility of a national securities exchange, of any such jurisdiction.

NEITHER THE SEC NOR ANY STATE SECURITIES COMMISSION HAS APPROVED OR DISAPPROVED OF THE SECURITIES OR DETERMINED IF THIS COMMUNICATION IS TRUTHFUL OR COMPLETE.

Important Additional Information about the Proposed Transaction Will be Filed with the SEC

This communication relates to the proposed merger involving Auddia and Thramann Holdings and may be deemed to be solicitation material in respect of the proposed merger. In connection with the proposed Transaction, Auddia intends to file relevant materials with the SEC, including a registration statement on Form S-4 (the “Form S-4”) that will contain a proxy statement (the “Proxy Statement”) and prospectus. This communication is not a substitute for the Form S-4, the Proxy Statement or for any other document that Auddia may file with the SEC and/or send to Auddia’s stockholders in connection with the proposed merger. AUDDIA URGES, BEFORE MAKING ANY VOTING DECISION, INVESTORS AND STOCKHOLDERS TO READ THE FORM S-4, THE PROXY STATEMENT AND ANY OTHER RELEVANT DOCUMENTS THAT MAY BE FILED WITH THE SEC, AS WELL AS ANY AMENDMENTS OR SUPPLEMENTS TO THESE DOCUMENTS, CAREFULLY AND IN THEIR ENTIRETY IF AND WHEN THEY BECOME AVAILABLE BECAUSE THEY WILL CONTAIN IMPORTANT INFORMATION ABOUT AUDDIA, THRAMANN HOLDINGS, THE PROPOSED TRANSACTION AND RELATED MATTERS.

Investors and stockholders will be able to obtain free copies of the Form S-4, the Proxy Statement and other documents filed by Auddia with the SEC (when they become available) through the website maintained by the SEC at www.sec.gov. Copies of the documents filed by Auddia with the SEC will also be available free of charge on Auddia’s website at www.auddia.com, or by contacting Auddia’s Investor Relations at investors.auddiainc.com/contact. In addition, investors and stockholders should note that Auddia with investors and the public using its website at investors.auddiainc.com.

Participants in the Solicitation

Auddia, Thramann Holdings, and their respective directors and certain of their executive officers and other members of management may be deemed to be participants in the solicitation of proxies from Auddia’s stockholders in connection with the proposed transaction under the rules of the SEC. Information about Auddia’s directors and executive officers, including a description of their interests in Auddia, is included in Auddia’s most recent Annual Report on Form 10-K for the year ended December 31, 2025, which was filed with the SEC on March 6, 2026. Additional information regarding the persons who may be deemed participants in the proxy solicitations, including about the directors and executive officers of Thramann Holdings, and a description of their direct and indirect interests, by security holdings or otherwise, will also be included in the Form S-4, the Proxy Statement and other relevant materials to be filed with the SEC when they become available. These documents can be obtained free of charge from the sources indicated above.

Investor Relations:
Kirin Smith, President
PCG Advisory, Inc.
ksmith@pcgadvisory.com
www.pcgadvisory.com


FAQ

What is Auddia’s LT350 parking-lot canopy AI network (NASDAQ: AUUD)?

LT350 is a distributed AI data center design built into parking-lot canopies instead of greenfield megacenters. According to Auddia, it places modular GPU, storage, solar, and battery cartridges in canopy ceilings, creating micro–data centers without occupying parking spaces or consuming new land.

How does LT350 use existing parking lots to expand AI data centers for AUUD?

LT350 mounts AI compute infrastructure in the airspace above existing parking stalls, preserving parking capacity. According to Auddia, this second-use model lets property owners monetize unused airspace while leveraging existing power access and commercial zoning instead of developing new sites on farmland or open space.

What problem is Auddia (AUUD) addressing with LT350’s AI canopy network?

Auddia aims to offer an alternative to hyperscale AI centers that require vast land, water, and power. According to Auddia, LT350 focuses on using already-developed parking lots to reduce farmland conversion, limit water-intensive cooling, and ease community concerns over grid strain and quality-of-life impacts.

How does LT350’s AI infrastructure model address water and power concerns for AUUD?

LT350 uses cartridge-integrated liquid cooling designed to minimize water use and support closed-loop or alternative strategies. According to Auddia, paired on-site solar and battery storage are intended to cut reliance on local grids and help avoid power-rate shocks linked to traditional AI data centers.

How could parking-lot AI canopies benefit property owners partnering with Auddia (AUUD)?

Property owners can earn incremental revenue from airspace that currently produces no rent. According to Auddia, LT350 canopies preserve parking, add shade and weather protection, and optionally support EV charging, while hosting AI compute overhead as a second-use infrastructure layer on commercial real estate.

What does recent public opinion suggest about AI megacenters versus AUUD’s LT350 approach?

A recent Gallup poll found 71% of Americans oppose AI data centers in their communities. According to Auddia, LT350’s focus on existing parking lots, reduced water needs, and local power mitigation is designed to align AI infrastructure expansion with these land and resource concerns.