Big Tech stocks rally after Democrats win control of Congress

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Big Tech rally after Congress win

Highlights

Amazon jumps 8%, Google rises over 6%, Microsoft adds 4%, Meta gains 3%, and Apple climbs nearly 7% as Democrats win Congress.
Tesla drops 2%, SpaceX falls 3%, Nvidia slips just over 1%, and CoreWeave sinks 10% as 40 out of 41 ballot measures oppose AI data centers.
Democratic victories in Texas, Georgia, and Ohio governor races increase concerns of stricter state-level data center regulations, favoring incumbent hyperscalers over neoclouds.

Election outcome reshapes technology market positioning

As reported by CNBC, investors are pushing major technology stocks higher as Tuesday's election results remove a layer of political uncertainty and favor established companies with strong balance sheets. Amazon jumps 8%, Google rises more than 6%, Microsoft adds 4%, Meta gains 3%, and Apple climbs nearly 7% in Wednesday trading.

David Kelly, chief global strategist at JPMorgan Asset Management, says on "Squawk on the Street" that a divided government leads to moderation in growth, moderation in inflation and less uncertainty, helping lift the stock market. Apple's gain also comes as the company faces Trump's tariffs and recently receives refunds.

Data center restrictions weigh on Musk-linked and smaller AI plays

At the same time, stocks linked to Trump adviser Elon Musk and the AI data center buildout are falling as investors assess tougher conditions for new projects. Tesla drops 2%, SpaceX falls 3% and Nvidia slips just over 1%, while CoreWeave sinks 10% as smaller AI cloud providers, often called neoclouds, face a weaker sentiment backdrop.

Concerns center on state-level restrictions after 41 local ballot measures address whether to limit or enable AI data centers, with voters opposing data centers in 40 of them. Analysts also note that Democrats backing data center moratoriums win gubernatorial races in Texas, Georgia and Ohio, increasing fears that projects could face added regulation or political blockage.

Macquarie analyst Paul Golding says issues including backup power emissions, zoning, water, grid interconnection and tax policy are often overseen by state regulators. Needham analyst Laura Martin says higher regulatory barriers entrench incumbents and raise risks for new entrants, reinforcing the advantage of hyperscalers that already have the capital, cash flow and operating scale to build AI infrastructure.

Even so, some industry executives do not see the results as signaling a nationwide construction slowdown. Chris Miglino, chief executive of Axe Compute, says companies are still raising capital, enterprises are still spending and demand for capacity remains, although tighter rules in some regions could steer investors and customers toward providers that already secure power, financing and deployment capabilities.

In our earlier article on the mounting headwinds for U.S. AI data centers, we highlighted how rising financing costs, construction delays, and power constraints are making many buildout plans harder to execute. We also noted that only a minority of announced projects appear credible, while local opposition and grid limitations are adding further uncertainty—pressures that can hit smaller providers hardest and strengthen the position of well-capitalized hyperscalers.

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