Rosa Del Mar

Issue 7 2026-01-07

Rosa Del Mar

Daily Brief

Issue 7 2026-01-07

Cycle Sequencing And The Key Gating Transition (Investment-Led To Consumer-Led)

Issue 7 Edition 2026-01-07 8 min read
General
Sources: 1 • Confidence: Medium • Updated: 2026-02-06 16:59

Key takeaways

  • Current credit pull is concentrated in AI-related investment, while broader early-cycle consumer and housing leverage has not yet re-accelerated.
  • QE-like reserve provision is push liquidity that often fails to increase lending when banks are able but not willing, while true credit expansion requires pull demand for borrowing at attractive prices for banks.
  • Yield curves are already reflecting issuance and growth pressure, and keeping rates low would likely require meaningful disinflation while an inflation-neutral backdrop implies somewhat higher rates.
  • Macro outcomes are driven by three channels: money creation, credit creation, and the risk/term structure of the liabilities used.
  • Onshoring is economically inefficient for the U.S. because domestic manufacturing is structurally higher cost, making onshoring akin to paying an insurance premium for national security and supply-chain resilience.

Sections

Cycle Sequencing And The Key Gating Transition (Investment-Led To Consumer-Led)

The corpus claims the current credit impulse is narrow (AI capex) and that a typical broadening path would require consumption following investment. It flags a gating question—whether household credit demand arrives—and a potential inhibitor—AI-related job insecurity. Failure mode is explicit: if projects do not generate profits, defaults and a later credit crunch can occur; equity outcomes are mapped to whether promised investment is executed and pays back under tolerable financing and labor conditions.

  • Current credit pull is concentrated in AI-related investment, while broader early-cycle consumer and housing leverage has not yet re-accelerated.
  • In an investment-led cycle, investment tends to precede and later feed into consumption, which can reinforce further investment until interest rates rise enough to choke off marginal borrowing.
  • If funded projects fail to generate promised profits, the investment-and-credit loop can break via defaults and a later credit crunch even if the near-term impulse is stimulative.
  • Equities can rise if earnings grow near forecasts even with some multiple contraction, but a bearish scenario is when investment promises are not executed and credit demand stalls because projects do not work.
  • AI investment is proceeding based on commitments and order books even without near-term proof that it will ultimately pay off.
  • A key next-stage cycle uncertainty is whether household credit demand arrives to follow the current investment-led credit creation, because the investment wave requires broad repayment capacity and ongoing demand.

Regime Shift From Central-Bank Balance-Sheet Dominance To Private Credit

The corpus asserts a shift in what drives macro/markets: away from central-bank balance-sheet expansion as a primary impulse (conditional on no crisis) toward private credit creation as the marginal financer. The mechanism emphasis is that reserves alone do not force lending; lending depends on loan demand and bank willingness/capacity. A corollary is that monetary easing may have weaker offsetting power if a downturn is driven by investment underperformance rather than policy tightness.

  • QE-like reserve provision is push liquidity that often fails to increase lending when banks are able but not willing, while true credit expansion requires pull demand for borrowing at attractive prices for banks.
  • Only central banks and commercial banks can create new spendable money; commercial banks create deposits when they make loans if they choose the risk and have regulatory capacity.
  • Absent a true economic crisis, central-bank balance-sheet actions will be a much smaller driver of markets and the economy than in the post-2008 and post-COVID periods.
  • If the central bank is on the sidelines and fiscal authorities are constrained by issuance issues, the private sector—especially banks—will likely bear the burden of funding the investment/deficit pipeline via credit creation.
  • Money creation is stimulative when it reaches real-economy spenders, but has limited marginal effect when it is effectively given to banks that are already able to lend but lack willingness.
  • The economy is entering a phase where private credit demand rises and interest rates can trend higher in a more traditional business-cycle pattern.

Funding Pressure From Ai Capex, Onshoring, And Fiscal Deficits; Issuance Absorption Mechanics

Large promised spending/deficits are framed as creating an asset-supply and funding-timing problem rather than a simple 'not enough money' problem. The corpus specifies two clearing paths for issuance—rotation versus leveraged absorption via repo/bank balance sheets—with different implications for system leverage. It also claims that some incremental FDI funding may come via sales of existing USD assets (not new money), and cites observed spread widening and AI-adjacent drawdowns as an example of repricing linked to AI issuance.

  • Yield curves are already reflecting issuance and growth pressure, and keeping rates low would likely require meaningful disinflation while an inflation-neutral backdrop implies somewhat higher rates.
  • New corporate issuance clears either through asset-for-asset rotations by fully invested buyers or through leveraged purchases using bank-created money via collateralized lending such as repo, which increases system leverage.
  • A large pipeline of AI/data-center capex, onshoring investment, and large fiscal deficits will require significant funding beyond what a stable economy typically needs.
  • Large investment borrowing can be self-funding via circular flow (spending becomes someone else’s savings that can buy debt), making timing rather than the existence of enough money the key constraint.
  • Incremental foreign direct investment promises are primarily funded by selling existing U.S. dollar assets, especially Treasuries, rather than by new money creation, because banking-system balance-sheet capacity is limited relative to the scale of promises.
  • Credit-market repricing around data-center and AI-related issuance has already widened spreads meaningfully, contributing to sharp drawdowns in AI-adjacent equities and financings.

Money Vs Credit Vs Liability Structure As The Organizing Macro Model

A core mental model is to separate (i) who can create money, (ii) how credit can expand even without new money, and (iii) how the risk and maturity structure of liabilities changes fragility and pricing. The issuance-absorption mechanism links liability structure to leverage creation (e.g., collateralized borrowing) rather than treating financing as a single undifferentiated flow.

  • Macro outcomes are driven by three channels: money creation, credit creation, and the risk/term structure of the liabilities used.
  • Only central banks and commercial banks can create new spendable money; commercial banks create deposits when they make loans if they choose the risk and have regulatory capacity.
  • Credit creation can occur without money creation when existing deposits are lent from savers to borrowers, producing near-term stimulus followed by contraction at repayment and increasing fragility if borrowers cannot repay.
  • New corporate issuance clears either through asset-for-asset rotations by fully invested buyers or through leveraged purchases using bank-created money via collateralized lending such as repo, which increases system leverage.

Political-Economy And Policy Gating Risks (Qe Backlash, Tariff Authority, Onshoring Efficiency/Subsidies)

Constraints are not purely technical/financial: the corpus asserts that QE’s perceived distributional effects create backlash that can affect policy choice, and that tariff authority legality could gate onshoring/investment promises. It also presents contested assertions that onshoring is structurally inefficient (insurance premium framing) and that some foreign commitments depend on subsidies, affecting fiscal/issuance dynamics.

  • Onshoring is economically inefficient for the U.S. because domestic manufacturing is structurally higher cost, making onshoring akin to paying an insurance premium for national security and supply-chain resilience.
  • Post-crisis QE is perceived to have inflated asset prices more than the real economy and contributed to populist backlash, even if it prevented deeper job losses counterfactually.
  • Some foreign onshoring commitments are likely not economically attractive investments absent subsidies, implying benefits accrue more to the foreign firm than to the U.S. taxpayer.
  • Whether certain investment and onshoring promises materialize may depend in part on the legal outcome of tariff authority.

Watchlist

  • Yield curves are already reflecting issuance and growth pressure, and keeping rates low would likely require meaningful disinflation while an inflation-neutral backdrop implies somewhat higher rates.

Unknowns

  • Will AI/data-center investment generate sufficient cash flows/profits on a timeline consistent with the associated debt/financing needs?
  • Will household credit demand (consumer and housing leverage) re-accelerate enough to broaden the cycle beyond AI capex?
  • How binding will bank balance-sheet and regulatory capacity be in determining whether private banks can fund the pipeline via credit creation?
  • Which issuance-clearing pathway will dominate: asset rotation versus leveraged absorption via repo/collateralized lending?
  • Will the forecasted 2026 combination of real-economy stimulus and financial-market headwinds from asset supply materialize, and at what magnitude?

Investor overlay

Read-throughs

  • Market leadership may hinge on whether the cycle broadens from AI capex into household borrowing, since current credit pull is narrow. If consumer and housing leverage re-accelerate, growth could become more self-sustaining beyond AI-linked spending.
  • Rate and curve dynamics may be dominated by issuance and growth pressure, with low rates requiring meaningful disinflation. An inflation-neutral backdrop could imply somewhat higher rates, shaping valuation and funding conditions across assets.
  • Liquidity provision alone may have diminished marginal impact if banks are able but not willing to lend and if loan demand is weak. Macro outcomes may depend more on private credit creation capacity than on central-bank balance-sheet changes.

What would confirm

  • Evidence of broadening credit pull beyond AI capex, such as re-acceleration in consumer and housing borrowing consistent with a consumer-led phase following investment.
  • Indicators that banks are expanding credit creation, reflecting willingness and capacity, and that issuance is being absorbed via leveraged channels like repo without immediate funding stress.
  • AI and data-center projects begin generating cash flows and profits on timelines consistent with associated financing needs, reducing default and credit-crunch risk.

What would kill

  • AI-related investment underperforms and fails to generate sufficient profits, leading to defaults, widening spreads, and a later credit crunch that undermines the investment-led cycle.
  • Household credit demand does not re-accelerate, keeping the credit impulse narrow and preventing a transition to a broader consumer-led expansion.
  • Bank balance-sheet or regulatory capacity becomes binding, limiting private credit creation and forcing issuance to clear through asset rotation and repricing rather than leveraged absorption.

Sources