Commercial Awareness Update: August 3rd 2026

Catch-up: The 1-Minute Interview Test | Commercial Awareness Update: July 22nd 2026 | Deep Dive: How Corporate Bond Markets Actually Work

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Three stories from the last week that connect in ways worth understanding properly.

Here's what we're covering:

Let's get into it.

Prepare for interviews, under pressure.

This one is remarkable.

Leopold Aschenbrenner is a 25-year-old former OpenAI researcher who, in 2024, published a 165-page essay arguing that artificial general intelligence could arrive as early as 2027. He called it Situational Awareness. It became required reading in Silicon Valley. Then he launched a hedge fund with the same name and bet real money on the thesis.

The bet, for a while, was extraordinary. By the end of June 2026, the fund had returned 439% after fees and grown to $45 billion in assets. Early backers included the Stripe co-founders, the former GitHub CEO, and trading firm Jane Street. It was one of the fastest-growing hedge funds in history.

By the end of July, it had lost roughly $35 billion. The entire public equity portfolio had been sold to Ken Griffin's Citadel at a discount. Aschenbrenner's prime brokers — Goldman Sachs, JPMorgan, and Bank of America — had been working with the fund to meet margin calls before the forced sale.

Here's what actually happened, because the mechanism is the important part.

The fund was running approximately 400% leverage. That simply means for every £1 of investor capital, it was borrowing and investing roughly £4 more. When things are going well, leverage amplifies returns — which is how you turn a strong AI thesis into a 439% gain. When things go wrong, it amplifies losses with exactly the same ferocity.

The AI infrastructure stocks that the fund was heavily long — CoreWeave, Nebius Group, SK Hynix, Sandisk, Micron — fell between 30% and 47% in July as the broader AI trade corrected. At 4x leverage, a 30% fall in the underlying position produces a loss of roughly 120% of the capital invested in that position. The margin calls kicked in fast. With no fresh investor capital arriving, the fund had no choice but to sell.

There was a second problem running simultaneously. The fund had also been betting against software companies, shorting names like Adobe on the thesis that AI disrupts them. When the AI trade corrected, those short positions went against the fund too — software stocks rose as the rotation out of AI infrastructure benefited the rest of the market. The fund was losing on both sides at once.

Six days before the forced sale, Aschenbrenner had sent investors a letter calling the July AI stock selloff "some of the most attractive opportunities since early 2025" and inviting fresh capital by August 1st. That capital never arrived. By the time the deadline passed, the portfolio was already in Citadel's hands.

"Leopold just stopped taking calls," one investor told the Financial Times.

Why this matters for your career — and for interviews specifically.

A few separate things are worth pulling apart here.

First, the leverage point. 400% leverage means that being right about a thesis in the long run doesn't protect you in the short run. Aschenbrenner's AI thesis may still prove correct. AGI may arrive by 2027. The infrastructure demand he identified may be as large as he believed. But leverage doesn't give you time to be right eventually — it forces you to be right on the market's timetable, not your own. That distinction is one of the most important concepts in fund management, and being able to articulate it clearly in an interview is a genuine differentiator.

Second, the crowded trade dynamic. We've been covering the AI infrastructure trade all year — the picks and shovels logic, hedge funds at record semiconductor exposure. Situational Awareness was essentially an extreme expression of exactly that trade, with leverage. The unwind of a position that large creates forced selling that pushes prices lower, which creates more margin calls, which creates more selling. That self-reinforcing cycle is a real risk in any crowded trade, and it's precisely what the June correction in semiconductor stocks foreshadowed.

Third, the Citadel angle is worth noting. Ken Griffin's fund stepped in to buy the entire distressed portfolio at a discount. That's what sophisticated, well-capitalised funds do during forced selling events. They wait, they have dry powder, and they buy at prices that reflect someone else's panic rather than the underlying value of the assets. That's a very different kind of market participant from the one doing the selling.

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On Friday, ExxonMobil and Chevron reported Q2 earnings. Shell reported the same week. The numbers are extraordinary.

Chevron posted $12.1 billion in quarterly profit — the highest in the company's history. Its upstream earnings, the division that actually produces oil, were up roughly 200% year on year. Revenue hit $70 billion against analyst expectations of $62 billion.

ExxonMobil reported $14.5 billion in net income — its highest since 2022 and more than double its year-ago result. Broken down, that's approximately $160 million in profit every single day of the quarter.

Shell reported $10.8 billion in net earnings — its second-highest ever quarter.

Combined, these three companies averaged roughly $404 million in profit every day for three months.

Here's the mechanism, because it's more interesting than the headline.

Most people assume oil companies make more money simply because oil prices are higher. That's true, but it's only part of the story.

The second driver this quarter was refining margins. Refining is the process of turning crude oil into usable products: petrol, diesel, jet fuel. Global refining capacity has been declining for years as refineries close and few new ones are built. When that constrained capacity meets a supply shock — like the effective closure of the Strait of Hormuz — the margins on turning crude into products can surge dramatically. Chevron's downstream earnings, the refining division, jumped from $737 million a year ago to $4.9 billion this quarter. That's a sixfold increase in a single year from refining alone.

ExxonMobil's CFO flagged something beyond the Middle East situation specifically. Ukrainian attacks on Russian refineries and China reducing its petroleum product exports have further tightened global refined fuel supply. The strain is increasingly in refined products rather than crude itself, he said — which means even if oil prices stabilise, refining margins could stay elevated.

The political consequence worth knowing about.

$404 million per day in combined profit from three companies during a war that's caused genuine economic hardship for millions of people has not gone unnoticed. European lawmakers and US Democrats are publicly calling for windfall taxes on oil companies. That debate is directly relevant to anyone interested in energy sector investing, consulting on energy policy, or working in government advisory roles — and it's the kind of second-order consequence that distinguishes strong interview answers from superficial ones.

Your fastest route to an offer this application season.

On Tuesday, the Federal Reserve held its benchmark rate at 3.5% to 3.75% for the second consecutive meeting under Kevin Warsh.

The decision itself was widely expected. What's less expected — and more important to understand — is that mortgage rates in the US have risen to their highest level in a year despite the Fed not having raised rates.

The average 30-year fixed mortgage rate in the US climbed to 7.4% last week, the highest since August 2025.

Why are mortgage rates rising if the Fed hasn't hiked?

This is a genuinely important concept that trips people up in interviews constantly.

The Fed directly controls the federal funds rate — the overnight rate at which banks lend to each other. Mortgage rates are set differently. They're primarily benchmarked against 10-year US Treasury yields, which are determined by the bond market, not by the Fed directly.

When bond market investors expect inflation to stay elevated for longer — which is what the Iran war and rising oil prices are causing — they demand a higher yield to hold long-dated government bonds. That pushes Treasury yields up. Mortgage rates follow. The Fed can hold its overnight rate steady and mortgage rates can rise anyway, because two different mechanisms are at work.

The Chevron CEO put it plainly on his earnings call: "Every day that goes by, the situation gets more difficult." If oil stays above $90 or pushes back toward triple digits — which Exxon's CFO suggested is possible — the inflationary pressure on long-dated bond yields continues, mortgage rates stay elevated, and the housing market remains under pressure regardless of what the Fed formally decides to do with its rate.

That transmission mechanism — from a war in the Middle East to oil prices to bond yields to mortgage rates — is exactly the kind of joined-up thinking that demonstrates genuine commercial understanding.

Three stories this week, one connecting thread.

The Iran war isn't just a geopolitical story. It's a financial markets story, an inflation story, a refining margins story, a bond yields story, and — through the AI infrastructure correction that hit Situational Awareness — even a hedge fund story.

Exxon making $160 million a day, a 25-year-old's $45 billion fund collapsing on AI leverage, and mortgage rates hitting a one-year high despite no Fed action all trace back to the same root cause: an energy supply disruption that's been reverberating through every part of the economy since February.

Most people see individual stories. The readers of this newsletter who have been following these threads since the beginning of the year now have the context to see the system. That's the difference between knowing what's in the news and understanding how the world actually works.

That’s all for now. Have a good week ahead!

Afzal

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