A Must-Read potpourri: the ‘math’ of AI data center builds, healthcare AI failures, telehealth in schools, Hippocratic AI’s problems, the loss of empathy.

May 14, 2026 | by | 1 Comment

Your Editor will be Away From The Desk more than a bit over the next two weeks that lead up to the US Memorial Day holiday. I’ve collected seven articles to read and consider over the next few days. Enjoy!

Where Are All The Data Centers?

Author: Ed Zitron.  Self-published on Where’s Your Ed At?

If you’re puzzled about the ‘math’ of data centers–what capacity is available now, what is actually online/operational, and what’s the pipeline like–you will appreciate the detail that Mr. Zitron has gone to in cataloging those and much more. It turns out that we are not in the Land of Math, but in the Land of Myth, ruled by the Great Oz.

Despite what the builders say, and Microsoft’s and Oracle’s ever-cheery press releases, operational data centers are a fraction of what’s needed now or projected. The centers take 18-24 months to build and then many more months to fit out with chips, cooling, power, and networking that links sites and the end users. The AI giants, despite all the money flowing their way, will run out of money before the operating capacity they need gets online. Every data center takes 18-24 months to build, and even with retrofitting older data centers, the capacity is not there, nor for some time to come. In other words, the cavalry is in a neighboring country, much less the next state. Nobody has yet built a 1 GW data center. Centers are in megawatts and that, not many. 

FTA:

  • “Oracle is building 7.1GW of total capacity for OpenAI, and keeps — laughably! — saying 2027 or 2028, when at this rate, Stargate Abilene won’t be done until mid-2027, and the rest either never get finished or are done in 2030 or later.”
  • “This is setting up a horrifying situation where Oracle desperately needs OpenAI to pay it for capacity that doesn’t exist, and if it ever gets built, it’s likely to be years after OpenAI has run out of money, which is the same problem that Microsoft, Google, and Amazon have with their $748 billion of deals with Anthropic and OpenAI, though thanks to the $340 billion or more necessary to build the Stargate data centers, Oracle’s problems are far more existential.”

The article also makes the point that Oracle does not have the fall-back businesses that Microsoft, Google, and Amazon have to cushion the blow of AI failure. Oracle has the burden of a massive debt load, the most recent being financed by a large bond fund since banks wouldn’t touch it. Will Larry Ellison sell a yacht or an island? Oracle Steps Back From The Debt Brink and Oracle’s Rock and Hard Place in Abilene

This is one long, well-written, and researched analysis by Mr. Zitron, whose expertise is in PR and is a well-known Silicon Valley critic. 

Telehealth in Schools: Expanding Student Access in a Hybrid Health Care System

Author: Paul Samargedlis. Published on Telehealth.org

Healthcare shortages across the US are affecting K-12 schools and children’s health. School-based telehealth programs can reduce absenteeism, expand access to mental health care, and deliver preventive care, bringing that care to where children already are. School-based telehealth programs in states such as Texas and North Carolina have demonstrated measurable improvements in attendance and emergency department utilization. Much will have to change in coordinating efforts and obtaining funding among school systems, local providers, and governments.

Artificial Intelligence Acquisitions: Agencies Should Collect and Apply Lessons Learned to Improve Future Procurements

Author: Government Accountability Office (GAO) Report to Congressional Requesters. April 2026 (49 pages)

Federal agencies reportedly more than doubled their use of artificial intelligence (AI) from 2023 to 2024, and they used a range of approaches to acquire additional AI capabilities through fiscal year 2025. In April 2025, the Office of Management and Budget (OMB) issued guidance to help agencies acquire AI responsibly, but agencies have not by and large shared that knowledge. This paper attempts to fill this gap in part. GAO identified trade-offs, challenges and benefits. The paper identifies approaches agencies made in acquisition and makes recommendations.

Top AI Failures in Healthcare

Author: Dmitrii Gorbunov. Published on LinkedIn.

Mr. Gorbunov sums up five costly failures (or about to be failures) where AI has been used in healthcare: physician decision overrides (UnitedHealthcare), claims denials (Cigna), fabrications of consent documents (Sharp Healthcare), and adding diagnostic codes without physician confirmation (Kaiser Permanente). The fifth one, Doctronic, was spoofed by Mindguard to issue triple the dose of Oxycontin [TTA 26 Mar]. The lack of rules, audit and audit trails that can be confirmed and trusted will cost money and have legal consequences.

The next may require subscription to view on Substack

The Architecture of Voice: Why AI Tools Can Mimic Style But Not The Voice

Stuart Miller (Haverin Consulting)’s fourth article on AI’s effect on language and writing. An AI LLM can partly fill two parts of the Competence Framework–Skills and Knowledge–but it does not have Experience. It is incomplete in these three points of Context, and Voice represents the accumulation of Context. FTA: “The dangerous part is the assumption that accelerated Knowledge substitutes for Experience, when in fact accelerated Knowledge, and improved Skills untethered from time, is precisely the recipe for the Builder’s Mirage. The Builder’s Mirage is the illusion of competence, produced without the underlying thing being present.”

Sergei Polevikov’s Substack under AI Health Uncut will require subscription to fully view. His latest are:

Hippocratic AI Fires Its International Sales Team

It’s turning into Theranos 2.0. FTA: “Revenue is an estimated $17–20M ARR. Burn rate is $404M.” Their customers are also their investors. and “Hippocratic AI has quietly withdrawn from all of its international markets, terminated every international contract, and let go of the international sales team that built those relationships.” Contracts were sold without country language versions, adequate GPU infrastructure, and compliance.

Christina Farr: “Where is all of our empathy? Where did it go?”

Christina Farr is the former CNBC healthcare tech reporter, founder of  Second Opinion Media, and is a funder/advisor in the field. The article is derived from his and Alex Koshykov’s interview for their podcast Digital Health Inside Out (48 minutes, go to YouTube, no paywall). “A no-holds-barred conversation about what’s broken in healthcare media, what’s about to break in digital health, and why she’s not coming back to journalism.”

Until next week….

TTA’s May kickoff: is Oracle back from debt brink or in deeper? Deep learning AI vs. LLMs, chatbots take a whack with a PA lawsuit and AMA’s Congress appeal; ad trackers, M&A, more!

May 8, 2026 | by | No Comments

8 May 2026

AI dominated this week in multiple ways. Dr. Eric Topol opined on how validated deep learning AI use in medical imaging is hardly seeing any takeup by companies while gen AI and LLM chatbots get the funders and founders. Chatbots took a beating, with Character.AI being sued by Pennsylvania and AMA lobbying Congress for mental health bot guardrails. Is Oracle back from the debt brink with PIMCO’s bond fund financing for a data center or in deeper? Problematic ad trackers appear on state HIX websites, a buy and a Series B round it out.

Please feel free to comment on the articles and pass along this Alert. Let me know if this is worth it to you!

News roundup: Amwell narrows Q1 and full year losses, AMA urges Congress for guardrails on mental health chatbots, hospital at home study finds lower ED visits and lower hospital mortality

Character.AI sued by Pennsylvania on its chatbots posing as licensed physicians and psychiatrists

Oracle steps back from the AI debt brink with $16.3B financing for MI data center, the Project Jupiter ‘clean energy’ experiment in NM, and a major Federal DOW contract

Chutes & Ladders: Ad trackers still on healthcare websites after lawsuits, FTC; the US Navy adds WHOOPs it up and expands Talkspace; HealthVerity to buy Symphony Health; Nervonik’s $52.5M Series B

Is the health tech business neglecting validated deep learning medical AI models versus less proven LLMs and generative AI?

Last Week’s Headlines

A quickie news roundup: ChatGPT for Clinicians unveiled, UHG to invest $1.5B in AI, Aidoc raises $150M, TriFetch raises $1.9M pre-seed, Boehringer Ingelheim & Eko Health partner on canine heart murmur detection

Breaking: OpenEvidence app access terminated in the UK and EU

(Updated) Medtronic reports corporate IT systems cyberattacked. 500K UK Biobank records breached in inside job. Are med device and research organizations the new hacker happy hunting ground?

‘Behind the Emergency’–a well-done presentation about and approach to a specialized healthcare market

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Oracle steps back from the AI debt brink with $16.3B financing for MI data center, the Project Jupiter ‘clean energy’ experiment in NM, and a major Federal DOW contract

May 7, 2026 | by | No Comments

Perhaps the rabbit is being pulled from the top hat. Or it’s hungry. Three recent announcements are giving Oracle shareholders–of which founder Larry Ellison is a 40% holder–some confidence in a volatile market. While ORCL shares are slightly down year-to-date, in the past month since their massive layoff, Mr. Market has boosted them up close to 36% at time of writing, most of the runup in the past week. (Editor’s note: this analysis is meant to be directional and qualitative. It is detached from ‘stock picking’. For your Editor, the interest is in the future of Oracle Health, which is likely collateral damage from All This.)

Oracle is taking on $16 billion debt, this time largely funded by bond fund PIMCO. This funded a single data center campus in Saline Township, Michigan. Total financing announced in late April was $16.3 billion, anchored by PIMCO’s financing $10 billion of the bond tranche plus $2 billion in equity from Related Digital Infrastructure and Blackstone. It’s reported that this is the largest single-facility technology debt package ever assembled. PIMCO (Pacific Investment Management Company LLC)  is a bond fund, the largest of its type (active fixed-income), and a subsidiary of Allianz Global Investors. It stepped in because US banks refused for the reasons bulleted below.

What gives pause is the total debt picture that Oracle is taking on to develop data centers for clients–OpenAI primarily, but also Meta. 

  • $72 billion in total debt to finance the Stargate joint venture in Michigan, Texas, Wisconsin, and New Mexico. Other reports have indicated over $100 billion [TTA 10 Mar].
  • The PIMCO debt is structured as a 7.5% coupon with a 19.5-year maturity, with six years of interest-only payments followed by 13 years of amortization
  • Oracle’s long-term debt load has risen nearly 66% since the start of 2025.  Yahoo Finance
  • This is despite a BBB-negative credit outlook from S&P Global Ratings and Moody’s Baa2 Negative outlook (link), a major factor in why banks shied away from further financing.
  • $553 billion in performance obligations with OpenAI 

TNW discusses in a deeper dive the debt structure and why PIMCO could make this bet where banks could not.  The question it raises is whether the furious pace of data center building is another cycle of overbuilding–and if it is, will it be absorbed in time? The ominous parallels: the 2000s building boom in an earlier iteration of data centers, the fiberoptic boom of the early 2000s that broke WorldCom, Global Crossing, Winstar, Corning, and 360Networks, cloud overbuilding that left Amazon Web Services with years of excess capacity (it helps to have a deep-pocketed and not all that transparent parent), and others. This Editor would also liken it to the early years of 1980s-90s airline deregulation (too many airlines, too much debt, too many seats) and about a decade in the cruise ship industry where too many cabins were chasing too few people. These took decades and multiple bankruptcies to settle.

The Project Jupiter New Mexico Stargate data center is turning into an experiment to reduce the environmental/power impact of AI data centers. The alternative energy source for the Doña Ana County data center will come from fuel cells developed by Bloom Energy. The fuel cells have up to 2.45 GW of installed capacity and will replace the usual gas turbines and diesel generators, consolidating power into one single microgrid. How big this ‘microgrid’ will be is not disclosed. The data center campus is being built by a development company, BorderPlex Digital Assets, which is promoting this site as a “Tier 1 industrial engine for New Mexico”. 

Fuel cells generate electricity without combustion through electrochemically combining hydrogen and oxygen, producing water, heat, and electricity. Versus conventional power sources, they reduce nitrogen oxides emissions by approximately 92% and use a “negligible” amount of water. However, the overall picture is not quite that rosy. Other reports indicated that overall greenhouse gases emitted by the data center even with the fuel cell microgrid are estimated at 10 million tons per year, representing ~30% savings over a conventionally powered 14 million tons per year, the latter more than the cities of Las Cruces and Albuquerque. While preliminary construction is taking place, Project Jupiter is still awaiting approval from the New Mexico Environment Department and faces several lawsuits from environmental activists. SourceNM,  Oracle release

A Federal contract to expand the Department of War’s AI capabilities across their classified cloud network. No value attached, and details are naturally on the QT and strictly Hush-Hush, but Oracle’s May Day announcement says in about three ways that the agreement is for advancing AI capabilities as part of the DOW’s AI Acceleration Strategy by “enabling new capabilities across its three core tenets: warfighting, intelligence, and enterprise operations”. (Whew!) From the release: “This agreement accelerates the transformation toward making the United States military an AI-first fighting force and strengthens warfighters’ ability to maintain decision superiority across all domains of warfare.” Oracle release

Also Yahoo Finance