Fiscal dominance is here, or is it?

One of the more useful AI tools that I have set up recently is a bi-weekly macro and demographics theme scout, which collects material on a given topic and runs through a number of recent and older sources, and synthesises this material into a brief essay, as well as a text to speech (TTS) document so that I listen back with the ElevenLabs text-to-speech app.

I thought it might be useful to recycle some of this material on the blog. One of the topics my AI scout landed on earlier this year was fiscal dominance, and whether developed markets are now slipping into this regime after a long period in which monetary dominance—activist monetary and passive fiscal policy—was the norm. I would frame the question like this. Has fiscal largesse during Covid, the subsequent fiscal support to protect against sequential global supply shocks in energy, and more generally deglobalisation and a focus the government balance sheet as a strategic lever for economic security pushed monetary policy into a Sargent and Wallace world of "unpleasant arithmetic”?

Here is the essay with some additions by me and more recent contributions.

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Global Leading Indicators, July/August 2026 - On the precipice

Global leading indicators stabilised over the summer, albeit at a weak level, so far dispelling fears that the downturn which began in Q2 marked the start of an accelerated decline in the headline LEI diffusion index into outright negative territory.

The deterioration in global LEIs since March—coinciding with the shock to global energy markets from the US-Iran war—has unfolded against an increasingly stark divergence across financial markets. Equities remain relatively calm, with the rotational tape continuing, while bond markets are closer to panic as a combination of inflation concerns—shifting the outlook for monetary policy—and fears over persistently large fiscal deficits in developed economies pushes yields higher.

The key question is whether this repricing in global bonds ultimately spills over into equities, tightening financial conditions through lower equity prices and, by extension, delivering a further hit to leading indicators. For now, that transmission is not happening. One explanation is that equity markets view rising yields as a natural counterpart to the AI boom: stronger investment is supporting growth while raising expectations for future productivity gains. Add to this the crowding-out of government bonds by surging private-credit issuance to fund the AI build-out, and the coexistence of rising yields and robust equity markets looks less anomalous, for now.

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Where are we on AI and sell-side research?

I should be honest about my bias here. On a spectrum between those who see AI as a technology that overpromises and will eventually underdeliver, and those—like Marc Andreessen and DHH—who see it as a transformative technology with enormous promise, I am firmly in the latter camp. All that really means, however, is that I am choosing to lean into the technology for two reasons. First, because I genuinely think it is cool. Second, because whether I like it or not, it will transform the industry in which I work. I can’t afford not to understand and use it.

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Market Chartbooks, Sep 5 2026 - The barbell blocks out the noise

These chartbooks capture market themes which presently exist in a vacuum from which the oxygen has been sucked out by fears over the sell-off in bonds, its drivers and implications for monetary policy, and the AI story, which continues to capture the attention of bulls and bears alike. These two themes will continue to dominate the main market narrative as speculation intensifies over whether the data are pulling the Fed towards tightening, perhaps as early as this month, or whether it will ride out the storm with no change in rates. In the AI story, meanwhile, the next big test of the bull market’s strength and resilience will be the much-awaited IPOs of the frontier labs—OpenAI and Anthropic—which require significant and ongoing injections of capital to stay alive, even as they remain the principal conduits through which AI is transmitted to the real economy.

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