October 16, 2023
If you’re preparing for investment banking interviews, this is the kind of market week that’s worth studying because it connects macro volatility, central bank intervention, consumer resilience, and strategic M&A in one clean story. The common thread is pressure: geopolitical pressure in oil and currencies, policy pressure from inflation data, cost pressure at USPS, and competitive pressure across AI infrastructure.
That’s useful because interviewers don’t just want you to recite headlines. They want to see whether you can explain why a development matters for companies, investors, and deal activity. Here are the angles I’d actually use.
Oil moved on conflict risk, not current supply disruption
Oil futures were volatile after Hamas’ attack raised fears of broader Middle East supply disruption. Brent crude closed the prior week at $90.80 per barrel, while US West Texas Intermediate crude moved down to $87.75 per barrel. The market reaction was less about immediate barrels coming offline and more about investors trying to price escalation risk.
That distinction matters. Israel produces very little crude oil, and there were no direct oil supply disruptions at the time. So the trade was essentially a “wait-and-see” geopolitical risk premium rather than a pure supply-and-demand repricing. Prices surged earlier in the week, but profit-taking followed quickly.
For recruiting, this is a good way to show maturity in a markets discussion. Don’t just say, “Conflict means oil goes up.” A better answer is: oil can move higher when investors fear regional escalation, but if physical supply isn’t actually impaired, the move may be volatile and sentiment-driven. That also affects how you’d think about airlines, chemicals, consumer companies, and any business with energy as a material input cost.
Israel’s currency response shows how fast financial stability becomes the priority
The more direct financial market story was Israel’s currency defense. The Bank of Israel announced plans to sell $30 billion of foreign currency in the open market and introduced swap mechanisms offering up to $15 billion of liquidity. That’s a major intervention designed to stabilize markets during a period of extreme uncertainty.
The Israeli shekel had already depreciated by roughly 10% during the year due to political instability. After the central bank’s announcement, it fell another 2.8% against the US dollar, marking its sharpest devaluation since 2020. The government also moved to issue 2 billion shekels, or about $508 million, of bonds amid the turmoil.
For finance students, the important part is how currency weakness flows through the real economy. A weaker shekel can help some exporters, but it also raises import costs and can add inflationary pressure. The country’s tech exporters face a more complex setup: foreign revenue may translate more favorably, but local instability, funding conditions, employee costs, and customer confidence can all become issues.
This is also a reminder that central banks don’t only fight inflation. In stressed environments, they may step in to provide liquidity, manage currency volatility, and prevent disorderly market conditions. If you’re asked about geopolitical risk in an interview, connect the headline to capital markets: FX intervention, bond issuance, liquidity tools, and risk premia.
The US labor market stayed hot, but wage growth cooled
The US job market delivered a strong September print, with 336,000 jobs added. That beat expectations and marked the largest monthly increase since January. August’s numbers were also revised upward by 40,000 jobs. Leisure and hospitality added 96,000 jobs, while government roles increased by 73,000.
Normally, that kind of labor strength would intensify concerns about inflation. But the wage component softened. Average hourly earnings rose only 0.2% in September, below economists’ expectations. That matters because the Federal Reserve wants labor market cooling without a major collapse in employment.
For interviews, the nuanced answer is that a strong payroll number is not automatically bad for markets. Investors care about the mix. Strong hiring plus accelerating wages can pressure the Fed toward hikes. Strong hiring with cooling wage growth is more balanced: it supports consumer spending while reducing some inflation concern.
CPI was still sticky enough to keep “higher for longer” alive
September inflation came in slightly hotter than expected. CPI rose 0.4% from August and 3.7% year over year, compared with expectations of 0.3% and 3.6%. Core CPI, excluding food and energy, matched expectations at 0.3% month over month and 4.1% year over year. The 4.1% annual core inflation rate was the lowest increase in two years.
The details matter. Shelter rose 0.6% and accounted for about half of the overall increase. Used cars moved in the other direction, declining 2.5% as pandemic-related supply chain issues eased and the new car market improved.
The practical read is that inflation had cooled from more intense levels, but not enough to declare victory. Rising gas prices also had the potential to create upward pressure in coming months. The likely policy interpretation was not necessarily another immediate hike, but rather a higher-for-longer stance as the Fed continued pushing toward its 2% inflation mandate.
That’s a strong macro talking point for banking interviews because it affects valuation. Higher-for-longer rates pressure equity multiples, raise financing costs, and make leverage more expensive in M&A and sponsor transactions. Even if the Fed pauses, companies don’t get an automatic return to cheap capital.
Older consumers helped support spending despite higher rates
One of the more interesting consumer angles was the role of the senior population. The 65-and-older demographic reached 17.7% of the US population, its highest level since 1920. That group contributed 22% of total US consumer spending last year, the highest share on record.
The explanation is straightforward but important: baby boomers are a large group, roughly 73 million people, and many have stronger financial stability, lower reliance on borrowing, and the security of homeownership. That makes them less directly exposed to higher interest rates than younger consumers who may rely more heavily on credit or housing affordability.
This is useful for consumer coverage discussions. Rising rates don’t hit every consumer segment equally. A company selling into older, wealthier, less debt-dependent customers may have more resilient demand than one relying on younger consumers with variable-rate debt or tighter monthly budgets.
USPS shows what secular volume decline does to pricing
The United States Postal Service offered a different kind of business model lesson. Since 2004, annual letter volume fell 37%, largely because technology made online communication faster and more convenient. In response, USPS proposed raising stamp prices to 68 cents, a 3% increase from the current rate.
If approved, that would represent a 17% increase since August 2021 and the third stamp price increase in the same year. The proposal was part of a 10-year plan aimed at financial sustainability and avoiding an anticipated $100 billion in losses. USPS also considered price increases for international letters and other products, including certified mail. The changes were expected to take effect on January 21 if approved.
The financial pressure is clear. USPS reported a $2.5 billion net loss in the second quarter of fiscal year 2023 and had operated at a loss for the prior 15 years.
For finance students, this is a clean pricing-power case study. When volumes are structurally declining, raising prices can help revenue per unit, but it may not solve the core issue if customers keep shifting away from the product. In banking language, you’d separate cyclical weakness from secular decline. This looks secular.
AMD’s Nod.ai deal is about closing the AI software gap
On the industry side, AMD announced plans to acquire Nod.ai, an artificial intelligence and machine learning software company. The deal value was undisclosed and was expected to close within AMD’s current fiscal quarter.
The strategic rationale is the real story. AMD planned to absorb Nod.ai’s engineering team and technology to expand its open AI software capabilities. Nod.ai’s automation software was described as highly compatible with AMD hardware, and its tools were expected to give customers access to generative AI technologies, including developer tools, libraries, and a machine learning model.
Existing AMD products expected to be affected included Instinct data-center accelerators, Ryzen processors, EPYC processors, Versal SoCs, and Radeon GPUs. This matters because AI competition is not just about chips. Hardware needs software ecosystems, developer adoption, and customer usability.
The competitive backdrop was Nvidia. In its most recent quarterly earnings report, Nvidia recorded $13.507 billion of revenue, up 101% year over year. AMD recorded $5.359 billion of revenue, down 18% year over year. AMD’s Nod.ai acquisition also complemented the June release of its Instinct MI300 chip, designed for AI and high-performance computing and positioned against Nvidia’s dominant H100 chip.
If you’re asked for an M&A rationale, don’t overcomplicate it. This is a capability acquisition. AMD is using M&A to strengthen software and engineering talent around its AI hardware portfolio. That’s different from buying revenue scale or consolidating capacity.
AI demand is strong, but profitability is still unsettled
The AI software story had a second layer: monetization. Tech companies were pushing AI upgrades, but the economics were still challenging because AI tools require tightly integrated servers and expensive, power-hungry chips.
Microsoft and Google were launching AI-backed software upgrades with higher prices. Microsoft planned to charge $13 per month for basic Microsoft 365 software plus an additional $30 per month. Google was set to charge $30 per month. Zoom, meanwhile, was using an in-house AI solution to reduce costs.
The problem is that fixed pricing can become less attractive as customer usage rises and infrastructure costs scale with it. That’s why variable pricing based on usage can make sense for AI products. Investors were still concerned about the unpredictability of AI software profitability, even as AI-related share prices had risen during the year. OpenAI’s valuation reached $90 billion, reflecting the scale of investor optimism.
This is exactly the kind of answer that separates a decent interview from a strong one. AI growth is not the same thing as AI profit. You need to discuss gross margins, compute costs, pricing models, usage intensity, and whether companies can pass infrastructure costs through to customers.
Amazon’s Project Kuiper highlights scale, capex, and differentiation risk
Amazon also launched two prototype satellites for Project Kuiper from Cape Canaveral. The goal was to test satellite performance in space and related systems. Project Kuiper is aimed at providing fast and affordable broadband access to underserved and unserved communities globally.
Amazon’s CEO had allocated a $10 billion investment to the project, with approval to deploy more than 3,200 satellites. But the competitive setup is difficult. Satellite internet can be more expensive than ground-based alternatives, and Amazon is entering a market where SpaceX’s Starlink already had more than 2 million customers, 4,800 satellites in orbit, and $1.4 billion of revenue.
Amazon also faced legal disputes with an investor over its selection of rocket providers for Project Kuiper launches. For the project to succeed, Amazon needs to reduce costs and differentiate itself from Starlink and other satellite internet competitors.
From an investment banking lens, this is a long-duration strategic investment with heavy upfront capital requirements. The question isn’t just whether the technology works. It’s whether the unit economics, launch costs, pricing, and competitive positioning can support the scale of the investment.
How I’d use this in an interview
- For a markets question: discuss oil as a geopolitical risk premium rather than a current supply disruption story.
- For a macro question: connect strong payrolls, cooler wage growth, sticky CPI, and higher-for-longer rates to valuation and financing costs.
- For an M&A question: use AMD’s Nod.ai acquisition as a capability-driven AI deal focused on software, engineering talent, and ecosystem strength.
- For a business model question: compare USPS pricing pressure from secular volume decline with AI companies trying to price products around compute-heavy usage.
- For a strategic investment question: use Project Kuiper to discuss capex, scale, competition, and differentiation in a market already led by Starlink.
The best interview answers usually don’t come from memorizing the biggest headline. They come from tying the headline to incentives. What is management trying to protect? What cost is rising? What risk is the market repricing? Who has pricing power, and who doesn’t? This week gave you plenty of material to practice that muscle.