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The Weekender · 08.14.26

A View From The Balcony: Escaping Bias to See Markets More Clearly

Record highs, AI anxiety and economic uncertainty can make it difficult to separate belief from observation. Gary Paulin takes a step back to examine what today's markets actually look like from a distance.

  • Markets & Economy
  • Equity Insights
  • Fixed Income Insights
  • Multi-Asset Insights

Key Points

Gary Paulin takes a closer look at market sentiment, AI investment concerns and earnings commentary through the lens of a possibilist rather than a pessimist or optimist.

Despite record highs, investor caution remains widespread. Historically, skepticism has rarely been the hallmark of major market tops.

Stepping onto the balcony can help investors separate belief from observation, revealing a market that looks more nuanced than prevailing sentiment suggests.

The Weekender is my bi-weekly take on macro shifts and emerging themes. It’s not investment advice — or even our firm’s official view. I aim simply to inform, challenge, and maybe entertain. If you’d like this in your inbox every other Saturday morning via Northern Trust, subscribe to The Weekender.

Belief

British philosopher Bertrand Russell once said, "I would never die for my beliefs because I might be wrong." Stock trader Jesse Livermore squandered his $100 million fortune trading his belief that stocks would keep falling, rather than what he actually observed — that they were rising (I can relate). Italians once believed tomatoes were poisonous, and lemmings, so the myth goes, believe in following each other off a cliff. Our beliefs, biases and preconceptions can blind us to reality, to change, to new ideas. "The difficulty," as economist John Keynes put it, "lies not in the new ideas, but in escaping from the old ones." A scenario that can lead to bad outcomes. Poor returns. Less tomato pizza. Even death (for lemmings).

 

Going to the Balcony

 

William Ury wrote one of the best books on negotiation, Getting to Yes — the kind you wish you could remember mid-negotiation. Ury was recently interviewed by Tim Ferriss (listen here), and said something that helped me get out of my own way when processing the polarising narratives around AI, bond markets, the Trump administration, and China. He talked of fighting the urge to be an optimist or a pessimist: Try not to think in binary terms — few things in markets are deterministic. Instead, be a "possibilist." Think in terms of what's possible. To do that, get distance, "go to the balcony." Become a detached observer, watching a scenario as if it's a play in which your bias — your belief — is just one role among many.

 

So, this week I went to the balcony to watch two “shows:” one about sentiment, another about the antidote to natural stupidity (artificial intelligence).

 

Show 1: Current Sentiment

 

The first show was a two-part warm up about current sentiment — the market's pulse. There are plenty of ways to measure it: positioning data, sentiment surveys, put/call ratios, bull-bear spreads, margin debt, NAAIM Exposure Index, AAII Sentiment Survey and the like. Instead, let me share a few observations from the balcony:

 

**Act 1. No Applause **

 

Records highs were hit this week across several major markets — the S&P, , the , the Financial Times Stock Exchange (FTSE) Group in the UK — to little fanfare. No party hats. No balloons. Even now, with U.S. inflation data coming in cooler than feared and the pushing toward fresh all-time highs, the tone has stayed measured rather than euphoric.

 

As I wrote in “Rational Exuberance” some months back, "We're still struck by the degree of scepticism we encounter. Typically, new highs are greeted with party hats and balloons, and yet… the vast majority remain somewhat solemn. Sober, even. And sobriety is seldom seen at market tops… And until scepticism gives way to euphoria, this market fails Galbraith's test of a bubble — a mass escape from reality. If reality is what shows up in earnings, and expectations are what's priced, then the escape we're seeing is running in reverse: multiples have de-rated, not inflated. Exuberant, yes. Irrational, not yet."

 

The same holds now.

 

**Act 2. A Subtle Review.**

 

Not every market signal is obvious or shows up in hard data. Some are softer, narrative signals — cultural tells that reveal positioning by proxy. Liaquat Ahamed's 1873, a history of the Panic of 1873, has become essential reading in tech and finance circles this year (email me for the best podcast on it). It's a reminder to keep situational awareness when leverage and euphoria combine — ahem, Mr. Aschenbrenner. Satya Nadella, Microsoft CEO and chairman, called it "required reading," then invoked it again on an earnings call. A CEO reaching for a 150-year-old panic narrative on an earnings call doesn't measure fear directly, but it reveals it: An audience preoccupied with historical catastrophe is, by definition, an audience still hedged, still cautious. And caution isn't usually what you find at market tops. The crowd reading about crashes is rarely the crowd that causes them.

 

The Counterfactual?

 

Imagine the counterfactual: Instead of 1873, the book on every desk was one preaching unconstrained abundance — a tech revolution, boundless optimism. Perhaps it's simply where I live (the UK), or the company I keep (sceptics, mostly), but I'm not sensing the same appetite for Abundance by Ezra Klein and Derek Thompson, The Cloud Revolution by Mark Mills, or The Techno-Optimist by Marc Andreessen (more on him shortly). What's also overlooked is that part of the reason for the 1873 crash was excess liquidity created by war reparations paid by France — think quantitative easing, but from abroad and paid directly into consumers' hands. And why did the Prussians win that war? Better technology — specifically, faster trains (better mobilisation, preparation and rail infrastructure certainly helped as well!). Which helps explain why we call this an AI arms race. One I hope we win.

 

The Andreessen Factor

 

A quick aside before the main show. I mention Marc Andreessen above, who — as you may know — sits on the panel of Federal Reserve Chair Kevin Warsh's Productivity and Jobs task force. Worth raising, because there's a live debate over why real yields are so high. Plenty of plausible explanations exist — rising term premia on Fed uncertainty, heavier supply issuance, growth expectations — but one less-discussed thread runs counter to the disinflationary, lower-rates narrative: A productivity boom might actually lift the neutral interest rate (r*), since it raises the broad return on capital. According to Syzygy Investment Advisory's CEO Bill Callanan, Andreessen has been vocal in his view of AI as a massive, near-term structural boost to corporate efficiency. So might this panel be positioned to validate a Greenspan-'90s-style productivity surge on a compressed timeline — feeding directly into higher potential GDP and r* assumptions? Whether that's good news for mortgage rates, affordability or voters is less clear. Still, it's an interesting possibility to watch.

 

Now, back to the show.

 

Show 2: Solving for Natural Stupidity

 

Turning to the main show on AI — and note, there were other billings of interest this week: “The Bond Vigilante,” “Perils in Prussia,” and an apparently breathless soliloquy titled “The President's Poetry” — but none held the cachet, interest, or relevance to market fundamentals of AI, a show that's been a box-office hit for months and is touted to run for many more.

 

I was expecting something uplifting; instead it felt more dramatic. Not a tragedy, but niggly enough to keep the audience from full participation. Rather than showing how AI could unlock human potential, productivity and innovation — and help solve the debt crisis — the play's premise leaned into its worries: The mix shift from cash flow to capital expenditure (capex), from capital-light to capital-intensive, from buybacks to new issuance. It fretted over over-spending, a peak in memory pricing, a possible credit-bubble burst (see credit default swaps for clues), circular finance, concentration risk (it's just AI, after all), and Chinese competition. Watching from the balcony, I found myself considering the counter-narratives to each — if only for balance.

1. Capex today is the cost of control tomorrow.

 

is being deliberately depressed by investment, not structurally destroyed. As Amazon's CEO Andy Jassy has said, "we're investing to be the meaningful leader, and our future business, operating income, and FCF will be much larger because of it." The FCF trough we're seeing now isn't a sign of a broken model — it's the price of owning the rails into the AI economy of the future. By most estimates, hyperscaler FCF recovers sharply after the trough, with aggregate free cash surpassing recent peaks toward the end of the decade. The window to buy that at a discount closes the moment the market starts pricing the 2028–2030 FCF explosion — and that repricing could happen faster than most expect. A bit like AI.

 

2. Cheaper industrials

 

One argument against owning technology stocks is the mix shift from capital-light to capital-intensive business models — the more capital-intensive, the more cyclical the earnings, and the lower the multiple applied to them. That logic shows up in the significant de-rating across many large tech stocks recently. Some now trade at multiples not far from more capital-intensive businesses like utilities — which, tellingly, share similar drivers and are often regulated too. That seems a little odd to me.

 

3. Equities are still scarce.

 

Despite the handwringing over new supply (the SpaceX IPO and subsequent lock-up expiry), fading buyback support from mega-cap tech, and Commodity Trading Advisor (CTA) strategies becoming marginal sellers, the reality is there's $1.2 trillion in authorised buybacks for 2026 — a record year if fully acted on. Buybacks should exceed equity issuance and continue absorbing supply. SpaceX has traded up since its first lock-up expired (clearly some positioned ahead of it), and vol-targeting strategies tend to buy more equities as volatility falls — and the is near its lowest level all year. P.S., for real asset scarcity, look at the UK FTSE, which is de-equitising via take-outs at an ever-increasing rate.

 

4. Future returns are found in the order book.

 

Granted, there's little evidence yet that incremental capex is generating higher returns — hence the overspending concerns. But it's simply too early; the rails haven't been fully laid. Still, there are signs returns are coming. Orders for many cloud providers are rising faster than capex, with book-to-bill ratios as high as 4x — extremely healthy. As Gavin Baker, managing partner and CIO at Atreides Management, discusses in this excellent podcast, graphics processing unit (GPU) shortages are now so acute that rental prices for old chips are rising faster than for new ones (spot prices are rising faster than contract) — meaning returns on those sunk costs are likely to compound quickly, good news for anyone with an installed base or excess capacity (see OpenAI and Meta's latest revenue lines). As an aside, if we already have a compute shortage while large language model and agentic AI penetration is still relatively low, what happens once we're all running a multitude of agents on a multitude of tasks? Which we will be.

 

5. Peak margins needn't mean peak earnings or a credit bust

 

One concern is that parts of the AI ecosystem may be approaching peak profitability. Memory margins may have peaked, leverage has risen, and some investors worry today's economics represent the high-water mark.

 

Perhaps. But earnings are a function of both margins and volumes.

 

Even if margins merely stabilise, volumes may continue expanding rapidly. Gavin Baker argues that higher memory demand is inevitable as agentic AI spreads, requiring more memory to make GPUs more efficient and generate more tokens. In other words, the market may be focused on the second derivative while the first derivative is still compounding.

 

Nor does the leverage concern appear quite as alarming through that lens. Debt becomes problematic when the underlying collateral is falling in value. Yet GPU scarcity remains acute, pricing continues to hold up better than many expected, and spot values for much of the underlying compute infrastructure remain firm. As contracts reset and cash flows grow, today's financing needs may prove more temporary than structural.

 

In short, the market may already be discounting the full downcycle while demand, volumes and earnings power continue to move in the opposite direction.

 

6. Circular/centralised finance is broadening and being distributed.

 

Until recently, there were only around ten players in the AI ecosystem, Nvidia central to all of them. Some degree of circular financing was unavoidable, and I can forgive the comparisons to cable roll-out in the internet bubble. But Nvidia's recent financing deal may ease some of that concern. What it's announced with the likes of BlackRock, Blackstone, Apollo and KKR should help spread funding risk (and returns) and start to decouple the circularity worries. The fact the underlying collateral value is stable-to-rising even after normal depreciation cycles doesn't hurt either.

 

7. It's not just AI.

 

I've spent a lot of time reading earnings transcripts over the years — they offer early signals on the economy and add context (and confidence) to growth forecasts. This earnings season was no exception, and beyond the extraordinary acceleration in earnings (unprecedented outside of recoveries), the standout was the breadth of companies talking about a brighter future. It's not just AI. Technology is still the driver, but where it once accounted for most earnings growth, it's now roughly half. The median stock in the is expected to grow EPS +12% this quarter, a sharp jump from a year ago — and we see it in the commentary too. Deutsche Bank highlighted how frequently the phrase "broad-based" came up, not just in tech but across freight, steel, equipment rental, staffing, packaging and regional banks. Given our recent discussion of Alan Greenspan's , I found the commentary from Packaging Corp. of America (PKG) instructive. Per its president, "demand was very strong throughout the quarter across our entire customer base. Shipments were up over 24% in total and per day versus last year, with the legacy business up 4.1%, achieving a record for total quarterly shipments." Capex comes with GDP multipliers — this kind of commentary, combined with small-business optimism, durable goods orders, and at multi-month highs, suggests growth could be about to accelerate from here.

 

8. China/open source will commoditise intelligence. And that's a good thing.

 

We expect the market for intelligence to commoditise — or bifurcate, similar to Android and Apple iOS — with China and/or open source serving mass-market AI needs, while U.S. firms hold the lead at the highest end of the innovation curve. Frontier labs may look to vertical commercialisation opportunities, but one thing is clear: They all run on the same cloud providers, so value still accrues to the compute and infrastructure layer, which is possibly why Jensen is such a fan of promoting open source. And in time, the new innovations and applications that will be built on top. Read more on this topic in the previous Weekender.

 

Of course, all of these counter-points could be just as biased as the ones they're answering. But they're worth holding up all the same, if only to see what's possible.

 

Back to the Balcony for Show 3

 

Bertrand Russell warned against dying for our beliefs because we might be wrong. Markets demand the same humility. The possibilist doesn't need to decide whether this is a bubble or a breakthrough. S/he simply weighs what's possible, updates as new evidence emerges and resists becoming captive to a single story.

 

Right now, the market's belief looks cautiously constructive: sober at the highs rather than euphoric, hedged rather than greedy, increasingly funded by order books rather than optimism alone. None of that proves anything. But it does suggest that the crowd reading about crashes still isn't the crowd causing them.

 

And from the balcony, that's enough to keep watching the third “show” before forming too strong a belief about how it ends.

 

Have a great week (and may New Zealand’s All Blacks be victorious in South Africa, in what’s termed the greatest rivalry on earth).

 

Gary

Main Point

What becomes visible from the balcony

Markets often look different when viewed from a distance. Despite record highs, today's backdrop appears characterized more by skepticism than euphoria. Stepping back from our assumptions may reveal a more nuanced picture of sentiment, growth and AI than many believe.

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Gary Paulin

Chief Investment Strategist, International

Gary Paulin is chief investment strategist, international for Northern Trust Asset Management. He is responsible for developing and communicating the firm’s investment outlook across asset classes as well as producing investment analysis and thought leadership for the broader marketplace globally. To build out economic and market views, Gary regularly collaborates with the firm’s investment teams in equities, fixed income, multi-asset and alternatives.

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