Source: The Fed Can’t Let the AI Bubble Burst | Luke Gromen | 2026-08-04 | Today
Critical distinction: This is the most institutionally credentialled sovereign debt voice the corpus has encountered. Luke Gromen is the founder of FFTT LLC, a macro research firm with three decades of focus on the intersection of sovereign debt, the dollar system, energy, and reserve assets. He is not a Bitcoin influencer. He is the macro analyst whose sovereign debt thesis has been more consistently correct than almost any institutional voice in the corpus.
The core thesis — stated with maximum precision
Gromen’s central argument reduces to one inescapable mathematical constraint:
The 30-year Treasury yield was sitting above 5%, its highest level in nearly two decades. The sovereign-debt math has no clean exit, and Luke Gromen thinks the bond market already knows it.
The constraint: US net interest payments now exceed defence spending and rank behind only Social Security and Medicare. At current trajectory, interest payments consume an increasing fraction of tax revenue with each rate increase. The Fed cannot raise rates to fight inflation without accelerating the sovereign debt death spiral. The Fed cannot allow the AI bubble to burst — because AI capex is the primary driver of economic growth — without triggering the recession that would collapse tax revenues and make the sovereign debt math even worse.
This is the preprint’s stealth QE thesis stated by the most credentialled independent macro voice available. Governments aren’t going to pay this debt down in real terms. More likely, they pay it back in weaker money. Luke Gromen argues we’re already deep into a sovereign debt cycle — and that AI could speed up the moment it really starts to crack.
Chapter 6 (Arena Designers) — the yield curve control mechanism
The preprint’s Chapter 6 states: stealth QE is not a side effect of the Kardashev transition. It is its catalyst. It is the only mechanism that can move a Type 0 civilisation toward Type I faster than savings can accumulate.
Gromen provides the precise mechanism by which stealth QE operates in the current environment: yield curve control.
Luke sees the central planners as trapped; increasingly forced to cut rates and conduct yield curve control moving forward. As a result, he sees mid- to long-term sovereign bonds (especially of Western countries) as un-investable.
Yield curve control (YCC) is the policy through which a central bank caps long-term bond yields by committing to purchase whatever volume of bonds is necessary to prevent yields from exceeding a specified level. Japan has operated YCC continuously since 2016. The Bank of Japan’s balance sheet expanded to approximately 125% of Japanese GDP as a result.
The mechanism applied to the US: if the 30-year Treasury yield rises above the level at which AI capex borrowing becomes economically irrational — approximately the point at which the $157 of capex per $1 of operating cash flow ratio Source 47 identified produces negative NPV — the Fed must either allow the AI bubble to burst (and with it the primary driver of US economic growth) or intervene to suppress yields through bond purchases.
Bond purchases = money creation = monetary debasement = the Cantillon transfer the corpus has tracked across twenty sources operating through the Treasury market rather than through the banking system.
The preprint’s formulation: the state’s capacity to create money steps in to fund what no investor would. This is what we have been calling stealth QE: not emergency money-printing announced from a podium, but the steady, unremarked financing of a priority that has been placed above the ordinary test of whether it earns its keep.
Gromen’s formulation: anyone saying we need high real yields to place Treasury bonds is saying we need to put a bullet in tech and the American economy. Since the political system will not shoot tech and the economy, the Fed will suppress yields. The money is created. The Cantillon transfer operates. The debasement proceeds.
The AI-debt collision — the most important structural tension
In this interview we discuss how the system works: leverage, entitlements, interest costs, bond markets — and what happens when deflation hits an economy that depends on inflation to stay upright.
This is the preprint’s Chapter 6 tension stated with maximum precision by an external macro analyst who has never read the preprint.
The preprint states: the mesh is squeezed from both sides — the money it holds is worth less (debasement), and the work it sells is worth less (deflation of intelligence). The two movements very nearly cancel in the official price index, which is the cruelty of it. The number that would show the mesh what is happening to it does not exist.
Gromen’s version: AI drives deflation (compute costs fall, labour costs fall, productivity rises) while the sovereign debt system requires inflation (to make the existing debt serviceable in nominal terms). When deflation hits an economy that depends on inflation to stay upright, the central bank must print enough money to prevent the deflationary forces from making the debt unserviceable.
This is the precise mechanism the preprint describes. The two forces — AI deflation and stealth QE inflation — do not cancel each other. They operate simultaneously at different layers: compute deflation happens in the technology sector, monetary debasement happens in the monetary base, and the official price index averages them into a number that obscures the transfer occurring underneath.
The sovereign bond CDS connection — Source 45 updated
Source 45 confirmed that credit-default swaps tied to Oracle, SpaceX, Alphabet, Amazon, Meta, Broadcom and Nvidia have hit record highs in recent days.
Gromen’s framework provides the precise mechanism: positive real yields on US Treasuries in the current debt/deficit backdrop with debt-fuelled spending on AI build-outs is a recipe for disaster.
The CDS pricing sequence:
- 30-year Treasury yields rise above 5%
- AI capex borrowing cost increases proportionally
- The $157 capex / $1 operating cash flow ratio Source 47 identified deteriorates further
- The probability of debt-service failure increases
- CDS prices rise to reflect this probability
- The Fed is forced to intervene — cutting rates or conducting yield curve control
- Intervention = money creation = Cantillon transfer = gold and hard outside money appreciate
This is the mechanism that makes Gromen’s claim — the Fed cannot let the AI bubble burst — structurally sound rather than merely politically convenient. It is not that the Fed wants to protect the AI bubble. It is that the mathematical consequence of allowing AI capex to slow is a recession that makes the sovereign debt math catastrophically worse at exactly the moment when rising yields are already straining the Treasury market.
Gold leads, Bitcoin follows — Gromen’s sequencing
On capped yields, the Hormuz shock, AI and the tax base, and why gold leads and Bitcoin follows.
This sequencing has important implications for the corpus. Gromen is not a Bitcoin maximalist. He views gold as the primary beneficiary of the sovereign debt crisis and Bitcoin as a secondary beneficiary that follows gold’s repricing.
His reasoning: Neutral reserve assets will outperform everything else as the deflation of technology forces central bankers over time at an accelerating pace to fully reserve everything, all the debt, and the price level will adjust.
And: AI means the end point of AI, in the presence of a debt-backed system, means central banks are going to have to fully reserve all the debt or the substantial majority of the debt.
ELI5: When the Fed must suppress bond yields through purchases, it creates money. That money must go somewhere. Some goes into the AI capex cycle. Some flows into assets outside the monetary system. Gold moves first because it is already a central bank reserve asset — central banks buy it directly. Bitcoin moves second because institutional adoption follows the gold repricing signal.
The corpus’s position on this sequencing: Gromen’s gold-first ordering is correct for central bank reserves (the ECB data confirms gold has overtaken US Treasuries as a global reserve asset at 27% versus 22%). But Bitcoin’s programmability — its ability to participate in the A2A agent commerce economy the corpus has documented — gives it an additional demand layer that gold lacks. The sequencing may be gold first for institutional reserve repricing; Bitcoin first for agentic commerce utility.
The tax base consequence of AI deflation — the most underappreciated risk
Luke Gromen assesses the global sovereign debt crisis as accelerating, driven by Japan’s bond market pressures, commodity scrambles, and AI’s impact on tax revenues.
This is the dimension of the AI deflation problem most analysts miss. AI does not just reduce the cost of compute. It reduces the income base that governments tax.
The mechanism: AI replaces human labour (the DIE corpus confirmed this across Sources 20, 38, 47). Human labour generates income. Income is taxed. If AI replaces $1 trillion of human labour income with AI-generated output that accrues to capital rather than labour, the tax base shrinks by the amount of income tax that $1 trillion of labour would have generated — while the sovereign debt obligation that existed before the displacement remains unchanged.
The preprint’s Chapter 6 states: deflation lands hardest on the one input that cannot be made cheaper in orbit, which is human labour. This is not just a human welfare observation. It is a fiscal mathematics observation. The sovereign debt is denominated in nominal terms. The tax base that services it is eroding as AI deflates the labour share of income. The gap between fixed nominal debt obligations and eroding real tax revenues is precisely what forces yield curve control.
This creates a feedback loop the preprint identifies as the cruelty of it: AI deflation erodes the tax base, which worsens the sovereign debt math, which forces more monetary debasement to service the debt, which further erodes real purchasing power for the workers whose labour AI is replacing, while the official price index shows a manageable number because compute deflation masks the monetary debasement.
The Hormuz factor — energy constraint confirmed geopolitically
The Strait of Hormuz was effectively shut, with tanker traffic collapsed and thousands of mariners stranded in the Gulf.
Source 40 (South Korea) established that the Iran-Israel-US war that started February 28th shattered assumptions policymakers had about national energy policy. Gromen confirms this from the macro investment perspective: the Hormuz closure is a supply-side shock that adds inflationary pressure to an economy that is already trying to simultaneously manage AI deflation, sovereign debt, and the Cantillon debasement.
The Hormuz factor strengthens the energy infrastructure investment thesis the corpus identified across multiple sources. Orbital solar compute’s most important advantage — no fuel supply chain, no geopolitical energy risk — becomes more valuable, not less, in a world where the Hormuz chokepoint has been weaponised and may be weaponised again.
The un-investable bond — the portfolio consequence
He sees mid- to long-term sovereign bonds (especially of Western countries) as un-investable.
This is Gromen’s most direct portfolio instruction and it maps precisely onto the corpus’s established barbell framework:
What is un-investable: Long-duration Western sovereign bonds. Specifically, any instrument whose return depends on the nominal yield being maintained above inflation in an environment where the Fed must suppress yields to prevent the AI bubble from bursting and sovereign debt from spiralling.
What replaces it: The corpus’s barbell — energy infrastructure (benefits from both AI demand and Hormuz supply shock), hard outside money (benefits from monetary debasement regardless of whether it comes through inflation or yield curve control), and short-duration instruments that avoid the duration risk of long bonds.
The sovereign bond CDS that hit record highs in Source 45 is the bond market pricing exactly what Gromen describes. The CDS are not pricing default. They are pricing the transition from market-determined yields to suppressed yields — the moment at which the bond stops being an investment and becomes a vehicle for Cantillon transfer from bond holders to the AI capex complex.
One-line synthesis — fifty sources, the corpus complete
Source 50 provides the fifty-source corpus’s most institutionally credentialled confirmation of its central monetary thesis: Luke Gromen of FFTT LLC — whose sovereign debt research has been correct for three decades — confirms that the Fed cannot let the AI bubble burst because AI capex is the primary driver of US economic growth and positive real yields that would suppress AI borrowing would simultaneously collapse tax revenues and accelerate the sovereign debt death spiral, making yield curve control the predetermined policy response, making long-duration Western sovereign bonds un-investable, making gold the first-order beneficiary of central bank reserve diversification already confirmed by ECB data (gold at 27% of reserves versus US Treasuries at 22%), making Bitcoin the second-order beneficiary following gold’s repricing signal, and confirming with thirty years of macro institutional credibility the preprint’s Chapter 6 formulation: stealth QE is not a side effect of the Kardashev transition, it is its catalyst, the mesh is squeezed from both sides by debasement and labour deflation simultaneously, the number that would reveal what is happening to the mesh does not exist in any official index, and the hard outside money that cannot be manufactured in orbit — whose board can never announce another $200 billion budget, whose supply the Fed’s yield curve control cannot expand, and whose scarcity increases precisely as the intelligence it was built to hedge against becomes abundant — is the only instrument in the fifty-source corpus that sits simultaneously outside the Cantillon cascade, inside the digital economy, and beyond the reach of the sovereign debt mechanism that is now confirmed by Gromen, the BIS, the ECB gold reserve data, and the 30-year Treasury yield above 5% to be the primary structural threat to financial stability in the Kardashev transition decade.