June 2026 Market Update

The character of equity leadership shifted in an important way. Artificial intelligence remained the dominant long-term investment theme, but investors became more selective about where they were willing to pay for future growth. Hyperscale cloud providers and several software companies came under pressure as investors questioned whether the unprecedented pace of AI infrastructure spending would translate into attractive returns on invested capital. Semiconductor manufacturers and memory suppliers, by contrast, continued to outperform as demand for AI hardware remained exceptionally strong. Rather than signaling an abandonment of the AI investment cycle, June marked a meaningful shift from rewarding AI spending to demanding clearer evidence of monetization.

Investor sentiment weakened after reports showed hyperscaler free cash flow metrics are under pressure as AI capital spending continues to rise. Collectively, the largest cloud providers are now expected to spend in excess of $700 billion on capital expenditures during 2026, with much of that spending directed toward AI data centers, the networking infrastructure, and next-generation semiconductor deployments.

That concern was reinforced by the Bank for International Settlements, which warned that the current AI investment boom could echo earlier technology manias such as railroads and the dot-com era “the optimism surrounding AI may not last, despite its promise of future productivity gains. The current surge in capital expenditure could prove unsustainable if supply bottlenecks restrain production. Intense competition for market leadership may fuel overinvestment further, as seen in previous innovation waves, increasing the risk of a sharp reversal if AI payoffs disappoint.” 1 The result is not a rejection of AI itself, but rather a tougher bar for the companies spending most aggressively to reach.

Geopolitical developments provided a notable counterbalance to those concerns. The energy shock that dominated May largely reversed during June as tensions surrounding the Strait of Hormuz eased following diplomatic

progress between the United States and Iran and renewed ceasefire agreements across the region. Although isolated disruptions persisted throughout the month, shipping activity improved materially and crude oil prices fell sharply from their May highs. Brent crude fell from the low 90s ($ per barrel) at the end of May to low 70s by late June. The reversal in energy prices became one of the defining macro developments of the month, easing concerns that the conflict would evolve into a prolonged supply shock.

June also marked the first Federal Open Market Committee meeting under Chair Kevin Warsh, providing investors with their initial look at the Federal Reserve’s new leadership. As widely expected, the Committee unanimously left the federal funds rate unchanged. The more consequential signal came from the updated Summary of Economic Projections, which reflected a meaningfully more hawkish outlook than earlier in the year: the median projection for year-end 2026 shifted from implying a rate cut in March to implying a modest rate hike, with seventeen of eighteen participants judging the risks to inflation as tilted to the upside. Policymakers revised their inflation forecasts higher while trimming their growth expectations. Notably, Warsh did not submit his own rate projection and has been openly skeptical of forward guidance and the dot plot as a communications tool. Warsh also announced a broad review of the Federal Reserve’s communications framework, balance-sheet policy, inflation framework, and data-and-forecasting processes, signaling that the leadership transition may extend beyond monetary-policy decisions.

June ultimately represented less a reversal of the bull market than a transition to a more discriminating investment environment, one in which capital rotated toward evidence and away from expectation. The path to a constructive second half remains open, but it now runs through a more skeptical market, a more hawkish Fed, and the growing insistence that AI spending justify itself in returns rather than narrative.