Democrats put 7-figure investment behind their Musk-focused playbook in Virginia

Contributing sentiments towards policy:

62% : Democratic campaign leaders now see deep-red Virginia districts that Trump won by double digits as within reach.
45% : "We see all as part of the map now, as the impact of Musk's evisceration of the federal government workforce becomes clear," In one mostly rural district encompassing Petersburg, Democratic candidate Kimberly Pope Adams is facing off against Republican incumbent Kim Taylor for the second time since losing to her in 2023 by just 53 votes.
41% : But Virginia Democrats are taking a spree of special election wins - including in January, when a pair of Democrats outperformed in Northern Virginia - as a sign that voters across the political spectrum disagree with the direction of the country under Trump.
36% : "Between now and November, there will be lots of ads featuring Musk as he takes a chainsaw to our economy and our democracy, and the Republicans who are too terrified to stand up to him and Trump" said state Del. Dan Helmer, the Democratic campaign chair for the Virginia House of Delegates. Musk, who Trump has said will step away from his role as a special government employee in the coming months, has indicated he intends to invest heavily to promote Republicans in the Virginia and New Jersey elections, along with the midterms, and the party may have a hard time turning it down.
32% : Democrats believe they have an even stronger argument against President Donald Trump and Musk's government-slicing Department of Government Efficiency in Virginia, where the state economy depends heavily on the business of Washington, D.C. and thousands of federal workers are facing layoffs.
16% : Adams said that in her conversations with both Democratic and Republicans, those voters are worried about potential cuts to Social Security, Medicaid and Medicare - and many are unhappy about Musk's influence over the federal government.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.