Global Volatility, Energy Risks, and Market Resilience in Focus

Resilience at Scale: The Strategic Role of U.S. Equities in Volatile Markets

Within the Chief Investment Office, we seek to construct portfolios with resilience at the core, emphasizing a sustained up-in-quality bias across risk assets. Given its size, liquidity, high-quality fundamentals, and sector composition, the U.S. serves as a foundational anchor in globally diversified portfolios.

In conflict-driven, risk-off environments, U.S. equity drawdowns tend to be shallower than those of smaller, import-dependent markets that exhibit outsized beta to energy prices.

Because its market structure is anchored by several large cap businesses with high returns on capital, durable cash-flow profiles, and long growth runways, the U.S. absorbs external shocks more effectively than markets whose indices are more heavily tied to cyclical commodities, volatile currencies, or external funding dynamics.

Market depth and liquidity further reinforce this structural advantage.

With an equity market capitalization of roughly $60 trillion, the U.S. functions as the primary global clearinghouse for risk, supported by unmatched Treasury, credit, and equity market liquidity. This depth is critical during periods of global stress, when investors prioritize markets capable of absorbing large flows without significant price dislocation. By contrast, the combined market capitalization of the next 22 largest countries is only $24 trillion, highlighting the scale asymmetry that drives relative stability.

Energy shocks tend to strengthen the U.S. dollar, enhancing relative asset resilience.

In conflict scenarios, especially those involving Middle Eastern energy risks—safe-haven flows and the U.S.’s growing net-export position in crude oil and liquefied natural gas typically support USD appreciation. A stronger dollar not only cushions U.S. real returns but also tightens financial conditions abroad, often amplifying volatility in non-U.S. equity markets.

On fundamentals, U.S. earnings growth consistency and durability remain paramount.

Across multiple cycles, U.S. companies have delivered strong earnings growth, higher margins, and more stable profitability relative to most major regions. This stands in contrast with markets dominated by more cyclical sectors, where corporate earnings show higher correlations to GDP swings and are more vulnerable to commodity-price and FX shocks.

Bottom Line: Given their size and depth, U.S. markets tend to exhibit greater resilience to heightened geopolitical risks. When turmoil causes higher energy prices, the U.S.’s position as a net exporter of petroleum and natural gas reduces the aggregate drag on the economy.

Artificial Intelligence (AI) does not appear to be displacing employment

Global policymakers note that the impact of Artificial Intelligence on the labor market remains highly uncertain. In a speech last month, Fed Governor Michael Barr outlined two scenarios: one of rapid AI adoption, in which “a large share of the population is essentially unemployable,” and a less disruptive, gradual-adoption scenario³. Barr added that “the long-run effects of AI are likely to be profoundly positive. But in the short term, AI may deeply disrupt labor markets and harm some workers.” European Central Bank President Christine Lagarde told a committee of the European Parliament in February that while AI is increasing productivity, “we are not yet seeing consequences in terms of labor market and waves of redundancies”⁴.

These measured remarks by policymakers appeared to receive less attention than a Substack post last week that outlined a hypothetical scenario, two years in the future, of double-digit unemployment rates and a large equity market drawdown because of AI disruptions⁵. This scenario seems highly unlikely to us. More importantly, there is scant evidence of material labor market disruption at present. Purported signs of job loss due to AI frequently have alternate explanations that we find more convincing.

In a February 2026 post titled Measuring AI agent autonomy in practice, Anthropic reported that “Software engineering accounted for nearly 50% of agentic activity⁶. Combined with other observations, concerns that AI is displacing jobs have risen. For example, outplacement firm Challenger, Gray & Christmas reports that 17% of layoff announcements since the end of 2022 were made by technology companies—this is a sector that accounts for only 2% of private payroll employment. Private job growth slowed from 3.3% in 2022 to an average annualized pace of 0.8% in the subsequent three years. However, we are skeptical that these planned layoffs and slower job growth can be attributed to the launch of ChatGPT in late 2022.

First, during the extraordinarily tight labor market that followed the pandemic, U.S. technology firms appear to have over-hired given concerns about meeting their need for workers. This was followed by efforts to optimize their workforces, which were more likely triggered by the Fed’s aggressive policy tightening in 2022 rather than the launch of ChatGPT late in that year. Fed rate hikes were also a more likely driver of slower overall U.S. job growth.

Second, countries with high enterprise adoption rates for AI—such as India and Singapore, have not experienced weak employment growth. In the three years since the launch of ChatGPT, total employment in India has risen 4.2% per year versus an annual average of 2.3% in 2021 and 2022. Singapore reported solid job growth of 2.5% in 2023, 1.5% in 2024, and 1.8% in 2025.

Third, the Bank for International Settlements published a paper in late January on the effects of AI adoption on productivity and employment, based on a study of approximately 12,000 European firms. The study concluded: “Crucially, the productivity improvements stem from capital deepening rather than workforce reduction: AI augments worker output without diminishing employment levels in the short term, countering prevalent concerns about immediate job displacement.”

Bottom Line: We do not, at this point, see strong evidence of material job displacement due to AI adoption. Given recent concerns about the impact of AI on the software sector, we also note that online job recruitment firm Indeed reports that job posting for software engineers in late February 2026 are running 12% above the same period last year.