The US Midterms Exposed AI Market Volatility – How Will Enterprise SaaS Fare?

On November 5, 2026, US stocks suffered their worst day since April 2025. The Nasdaq 100 fell 6.36%, erasing $2.3 trillion in market value. The sell-off spread globally the following day, with South Korea's Kospi falling 6% and the main indexes in the UK, Germany, France and Spain all closing lower than they opened. A key trigger for this was the Democrats' victory in the US midterm elections. Many in the party campaigned on AI regulation, targeting data centre energy costs, model testing and AI liability.

On the same day, markets were dealt a second blow as the Bank of England raised rates to 4%, citing inflation due to the Iran war. On November 6, strong US jobs data also made a December US Fed rate hike more likely, dropping stock values further.

Since then, the Nasdaq has resurged slightly, and much of the bleeding from global markets has eased. Nonetheless, the event raises key questions for enterprise SaaS vendors – primarily, what does this volatility mean for their AI strategies and the buyers they serve?

The stresses of an AI market correction have arrived

In December 2025, Verdantix published a report on the risk of an AI bubble, identifying six key areas where stress would surface in the AI market. Three of these signals have now arrived. The first is weak earnings for infrastructure leaders, with results from Qualcomm and Arm triggering the chip sell-off. The second is data centre projects stalling over power or permits; in October, Microsoft walked away from Nscale's Loughton site and Finnish regulators halted Google's build-out. The third is credit stress. The IMF has flagged debt-heavy neoclouds as potential weak links, and OpenAI has raised less than half of its $30 billion funding target.

Growing AI budgets prove the long-term value behind the volatility

The signal that would turn a correction into a crash is enterprises freezing AI budgets. Our 2026 global survey shows that this has not occurred, and will not in 2027, with 62% of firms expecting their AI budgets to grow by more than 10% in 2027.

Although enterprise AI spend appears set to remain strong, valuations clearly swing hard whenever political or supply constraints threaten vendors’ gains. In February 2026, US tech stocks fell more than 5% in four trading days, then largely recovered on the fifth. Short-term share prices do not reflect AI's long-term value. While this sell-off is another signal, Verdantix does not consider it to be a major turning point that should result in pivots among vendors or buyers.

Resilience, not capability, will decide which SaaS vendors survive

The sell-off shows how quickly political and supply shocks can impact global markets. New liability rules for a model provider, a hosting region short of power or a data centre halted by regulators can all disrupt delivery. To mitigate that risk, vendors should strengthen resilience through diversifying model providers and hosting regions to ensure workloads and data remain portable. Additionally, they should build permitting and infrastructure delays into capacity plans and ground AI features in measurable ROI so that buyer confidence holds through market turbulence.

For more Verdantix takeaways from the midterm elections, check out our coverage of the results’ impact on green energy and the manufacturing sector.

To stay up-to-date on the latest AI market news and its impact on enterprise AI adoption, explore Verdantix AI Applied research or book an inquiry with our analyst team.