The fortnight ended on November 13, 2026, interesting news items to look at for the past fortnight are:
The General Purpose Technology (“GPT”) AI Beast and Summary Execution of Its Breeder: There was no doubt that the most talked-about topic in the past week’s chat groups was the summary execution of Nvidia’s CEO. By summary execution, I mean the putting to “death” of a person accused of a crime immediately after the accusation, without the benefit of a full, free, and fair trial, and in the case of Jensen Huang, the absence of even a thorough investigation. This was despite the Singapore Police, Customs and Public Prosecutors beginning an investigation in February 2025 and concluding in June 2026 that Alice Huang and Megaspeed had no case to answer. The U.S. Commerce Department also investigated Alice Huang in June 2025 in Singapore, and no formal accusations were levied.
It took just 14 days, a tsunami of rumors and innuendos in the media, and a loss of $1.2 trillion in stock market value of Nvidia’s stock to break Jensen Huang. A timeline of the events can be found in Fig. 1 below.
In the following paragraphs, I like to examine the pivotal role Huang played in nurturing the AI GPT beast, the potential fallout from his resignation, and then some conjectures as to the butterfly effects and collateral damages.
1. Genesis of AI GPT - The idea of AI GPT was conceived by Jensen Huang with the acquisition of Mellanox in March 2019. Mellanox is an Israeli technology corporation and specializes in high-throughput, ultra-low-latency data center interconnects that allow massive compute clusters to share data without bottlenecks. With the GPU in place for the brain cells and a potential neural network acquired, Huang set out to create an ecosystem for AGI (“Artificial General Intelligence”).
Earlier in 2015, Sam Altman, Elon Musk, Reid Hoffman, Peter Thiel, Jessica Livingston, Amazon Web Services (AWS), Infosys, and YC Research were the first donors and cofounders of the non-profit OpenAI Foundation. (Fig. 2).
It was in 2019 that Huang persuaded Sam Altman and Satya Nadella (Chairman & CEO - Microsoft) to start building a much more powerful environment to train GPT-2. (GPT-1 Generative Pre-trained Transformer 1 began in June 2018 and had only 118 million parameters, but GPT-2 Generative Pre-trained Transformer 2, scaled up the size and dataset drastically with 1.5 billion parameters. It generated surprisingly coherent, human-like text just from a short prompt (zero-shot learning).
To raise billions of dollars for computing power, the nonprofit OpenAI Foundation created a "capped-profit" subsidiary called OpenAI LP. Investor returns were capped at 100 times their original investment, with any excess profits flowing back to the nonprofit. Microsoft would invest $1 billion in cash with OpenAI LP, with an agreement to run its resource-intensive AI training and workloads exclusively on Microsoft Azure, turning Azure into its exclusive cloud computing partner. Microsoft became OpenAI's preferred commercialization partner, granting Microsoft the rights to license and integrate OpenAI's technologies into its consumer and enterprise products, and Nvidia was there to capture the resource and money flows (Fig. 3).
Fast forward to November 2026, as of 14 November 2026, NVIDIA is no longer simply a GPU supplier. It occupies several positions in the AI infrastructure financing chain:
(a) Equipment supplier – sells GPUs, networking, servers, and complete AI systems.
(b) Equity investor – invests in companies that subsequently purchase NVIDIA equipment
(c) Capacity lessee and buyer commits to purchasing computing capacity from cloud operators.
(d) Credit enhancer—provides purchase commitments, guarantees, and backstops that help cloud operators secure external financing.
(e) Technology and infrastructure partner—collaborates on data-centre design, deployment, and software.
Yes, Jensen Huang was personally at the centre of every AI infrastructure provider in the US, all the hyperscalers (Microsoft, Google, Meta, Amazon and Oracle) all the Neocloud specialists (CoreWeave, Lambda, IREN, Nscale), the frontier AI Labs (ChatGPT and Anthropic), and financiers (Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, KKR, and SoftBank). (Fig. 4)
Now, let’s turn our attention to the flow of money in AI trading—Bank of America Global Research provided data in mid-2026 on free cash flow between mega-cap cloud providers and their primary silicon suppliers. (Fig. 5).
Guess who wants to wreck this train in November 2026.
2. Cui Bono and Potential Fallouts — There were numerous rumors of a palace power struggle to dethrone Jensen Huang. Using Cui Bono analysis ("to whose benefit?”) I will eliminate a number of web suggestions.
(a) It shouldn’t be the U.S. administration that wants a change at the helm of Nvidia on racial grounds—the Taiwanese are in fumes because their golden boy is suspected to be replaced by a big white chief. Nvidia has $67 billion worth of 600,000 H200 chips stuck in Hong Kong since January 2026 because Xi does not want such imports to detract from local Chinese AI chip substitutions. The Alice Huang smuggling from S.E. Asia into China story is a red herring and has already been discredited by the Singapore Authority. The U.S. Justice Department also confirmed that it has never accused Huang of espionage.
(b) It should not be a Trojan Horse takeover of Nvidia by IDF (Israel Defense Forces) through Mellanox. AI chips are primarily manufactured in Taiwan, and memory chips are from South Korea and Taiwan. What more is there to gain?
(c) It should not be the closed-source frontier LLM labs or hyperscalers because Jansen Huang is a proponent of open-source AI—water at the Jansen Huang AI ecosystem runs very deep, and friendly fire against AI-related stock valuation is easily triggered. In any case, competition from China’s open-source LLM is not dependent on China having Nvidia chips.
Now let’s follow the money as to who made money from the Huang fallout. (Fig. 6).
This chart captures the winners and losers for the two weeks of the Jensen Huang's Alicegate incident: NVDQ (+65.36% - a Single-stock inverse fund targeting Nvidia), GPTS (+14.45% - European-listed ETP (LSE/Borsa Italiana) shorting major AI names like Microsoft, Amazon, Apple, and Palantir.), AIBD (+9.27% - Tracks the inverse of the Solactive US AI & Big Data Index), Amazon (+5.84%), Microsoft (-1.13%), Oracle (-1.47%), Nasdaq (-4.67%), TSMC (-6.36%), SOX (-8.9% - The Philadelphia Semiconductor Index), META (-9.67%), Micron (-13.08%), Google (-13.55%), Coreweave (-15.56%) and NVIDIA (-24.85%).
In my estimation, the primary suspect of using rumor mills, social media, fake news, and negative momentum in the stock market to achieve spectacular gains would include:
Leopold Aschenbrenner (Situational Awareness LP). The former OpenAI researcher shifted from being a major AI bull to placing roughly $8 billion in bearish bets across major AI and semiconductor companies. His disclosed exposure includes a $1.5 billion put-option bet against Nvidia, along with short positions targeting Broadcom, Oracle, AMD, Micron, ASML, Intel, and Corning.
Michael (The Big Short) Burry (Scion Asset Management / Cassandra Unchained). In addition to his well-known bets against Nvidia, Palantir, Tesla, and Micron, Burry expanded his AI short book to target Oracle, Nebius, Applied Materials, and broader tech and chip benchmarks like the iShares Semiconductor ETF (SOXX) and Invesco QQQ Trust (QQQ).
I rest my case.
What goes around comes around— the US invented derivatives, social media and faked news as financial weapons of mass destruction to raid foreign nations, and the consequences of her actions—whether good or bad—will eventually return to the US.
Hosea 8:7 "They sow the wind, And reap the whirlwind. The stalk has no bud; It shall never produce meal. If it should produce, Aliens would swallow it up.























