{"id":814868,"date":"2025-02-19T08:42:01","date_gmt":"2025-02-19T13:42:01","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/annual-letter-to-shareholders-from-aviation-divestiture-to-ai-data-center-investment\/"},"modified":"2025-02-19T08:42:01","modified_gmt":"2025-02-19T13:42:01","slug":"annual-letter-to-shareholders-from-aviation-divestiture-to-ai-data-center-investment","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/annual-letter-to-shareholders-from-aviation-divestiture-to-ai-data-center-investment\/","title":{"rendered":"Annual Letter to Shareholders: From Aviation Divestiture to AI Data Center Investment"},"content":{"rendered":"
\n

\n LAS VEGAS, Feb. 19, 2025 (GLOBE NEWSWIRE) — Jet.AI Inc. (“Jet.AI” or the “Company”) (NASDAQ: JTAI),\u00a0<\/strong>an innovative private aviation and artificial intelligence company, today issued a letter to its shareholders highlighting key milestones and recent operational developments reached and its 2025 strategic priorities.<\/p>\n

\n From the Founder and Executive Chairman<\/em>\n <\/p>\n

Dear Shareholders,<\/p>\n

As I sit down to write this letter, I think about what I\u2019d want to hear if I were sitting in your chair. Jet.AI has taken some big steps forward, and we\u2019ve made a few important course corrections, too. I\u2019m excited about where we\u2019re headed, but I\u2019ll lay it out simply and plainly – just like I\u2019d want it.<\/p>\n

\n What We Are Selling to flyExclusive<\/strong>\n <\/p>\n

In February, not long after announcing a CJ4 fleet deal, we signed a strategic agreement to sell Jet.AI\u2019s aviation assets and related working capital to flyExclusive in an all-stock deal. This transaction involves spinning off these assets into a new company, which will then be immediately acquired by flyExclusive. Shareholders are expected to retain their Jet.AI stock and also receive new shares in flyExclusive.<\/p>\n

\n Why We Are Selling to flyExclusive<\/strong>\n <\/p>\n

For our shareholders, this all-stock deal offers an exciting opportunity to benefit from an increasingly competitive flyExclusive and the boom in artificial intelligence.<\/p>\n

Our path in fractional aviation was to grow the super-light category (note our CJ4 deal) until the business organically reached the scale to enter the super-mid category, where aircraft are more like $25\u2013$30 million instead of $10\u2013$12 million. Indeed, we spent much of the year pursuing a Challenger 3500 super-mid deal but learned through that experience (even with a full financing offer in hand) that we first needed to scale up in terms of fleet size, supporting assets, and balance sheet strength.<\/p>\n

flyExclusive is a natural fit for the acquisition of our aviation assets because both of our companies offer planes from Textron Aviation and HondaJet. We fly five aircraft – a small number compared to industry giants like FlexJet, with 275 planes, and NetJets, with 750. flyExclusive, the #5 player in private aviation by fleet size, operates 113 planes and has a full complement of maintenance and repair facilities. We saw that the road ahead in fractional aviation would be promising but long. An all-stock deal with a large company offers a more immediate path to success for our shareholders.<\/p>\n

\n What\u2019s Next<\/strong>\n <\/p>\n

Since we started Jet.AI, our goal has been to improve private aviation through smarter technology. We rolled out Ava, the first agentic model in private aviation, and integrated it with CharterGPT to make private travel simpler and more accessible. We also launched Reroute AI and DynoFlight AI to help companies profitably reroute empty flights and remove carbon from the atmosphere on behalf of customers. By the way, to speak with Ava, call or text +1-888-492-4538.<\/p>\n

But I\u2019ll also admit something: we face limits. For all the excitement around artificial intelligence, the tools we build are only as good as the infrastructure they sit on. One key challenge has been the lack of reliable uptime for the computational resources we depend on, which has occasionally slowed down our ability to deliver services to our customers. AI applications are hungry for power – both computing power and literal electricity.<\/p>\n

AI has been called the next great revolution – and rightly so. But here\u2019s what most people don\u2019t talk about: training an AI model consumes computing resources faster than almost anyone anticipated. The International Energy Agency estimates data centers could consume 4% of global electricity by 2030 – that\u2019s more than Japan uses today.<\/p>\n

Most older data centers weren\u2019t built with AI in mind – their lower-wattage server racks simply can\u2019t handle the hefty power needs of today\u2019s AI systems. That means new construction is the name of the game, which brings me to where we\u2019re headed next.<\/p>\n

\n AI Data Centers<\/strong>\n <\/p>\n

As one of our investors put it best – if you can explain to me what a textile company has to do with insurance, a social media network has to do with a large language model or an online bookseller has to do with outsourced cloud computing, I\u2019ll explain what an AI spin-off company that makes AI software has to do with AI infrastructure. The common thread is of course that the best businesses are focused on both returns on incremental capital and attaining those returns based on what they reliably know and can achieve today.<\/p>\n

We have an edge in our leadership team. Our board and management include people with proven expertise in data center development and operations from companies such as SAP and Facebook. This isn\u2019t just theoretical knowledge-they\u2019ve been in the trenches, making complex systems work in real-world scenarios. In addition, this year, we\u2019ll be deepening our bench in the AI data center business, bringing in a mix of internal talent and already identified outside expertise.<\/p>\n

\n Why AI Data Centers Make Financial Sense<\/strong>\n <\/p>\n

Building data centers isn\u2019t just a capital-intensive business – it\u2019s also a math problem with a compelling answer. It costs about $10 million to build a megawatt of data center capacity. Each megawatt generates roughly $1 million in Net Operating Income (NOI), translating to a 10% yield on construction cost.<\/p>\n

The market typically values these assets using a 6% capitalization rate, or 16 times NOI. A 50-megawatt data center, built for $500 million, would generate $50 million in NOI. Apply the cap rate, and that $50 million translates into a $800 million valuation – creating $300 million in value.<\/p>\n

These projects usually rely on 80% debt and 20% equity. In a $500 million project, $100 million comes from equity, with $20 million typically contributed by the active general partner and $80 million from limited partners.<\/p>\n

Fast forward to the exit: once the debt is paid down or the asset is sold, the $100 million of equity grows to $300 million. That means the general partner\u2019s $20 million investment becomes $60 million – a 200% return. Why does this model work so well? Data centers handle leverage efficiently because they\u2019re leased on long-term, triple-net contracts to creditworthy tenants. The math may not be thrilling, but the outcome (and underlying demand) should catch any investor\u2019s attention.<\/p>\n

\n Taking the Next Step<\/strong>\n <\/p>\n

Based in Las Vegas as we are, there is plentiful land, solar power and natural gas available to us. We\u2019ve already seen one of the legacy data center companies announce in Nevada a 1-gigawatt solar project combined with thirteen gigawatts of nuclear power. Both projects are intended to supply specialty AI data centers, and combined they still don\u2019t scratch the surface of the industrial demand.<\/p>\n

We\u2019ve signed a letter of intent for our first 50-megawatt project as part of a new one-hundred-and-twenty-acre campus that will allow room for the phased construction of a full gigawatt of capacity in the years ahead. In addition, for the first project we\u2019ve retained a dynamic company founded by professional data center builders, with experience in our market, to assist with planning and execution while we deepen our own internal capabilities.<\/p>\n

Cloud-based AI services like ChatGPT require handing over training data to hyperscalers like AWS, Microsoft Azure, and Google Cloud Platform – a trade-off that many companies with proprietary data will avoid. This trend positions Jet.AI to attract both<\/em> hyperscalers and specialized tenants who need secure and dedicated AI compute environments.<\/p>\n

This isn\u2019t a flashy move, but it\u2019s a smart one. These data centers are the bedrock of the AI economy, and their demand will only grow. We think this investment will do two things: it will strengthen our ability to scale the tools we\u2019re building, and it will create long-term value that\u2019s tangible, stable, and meaningful for you – our shareholders.<\/p>\n

\n The Year in Transactions<\/strong>\n <\/p>\n

The overall theme this year was to clean up the capitalization following the De-SPAC transaction that got us listed and to bring assets onto the balance sheet to generate earnings power.<\/p>\n