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America's AI Leaders Built the Case for Scale Before Earning Public TrustAmong 1,566 registered voters, "none of these" outpolls every major tech and AI company tested on responsible AI, while voters focus on jobs, misinformation, water and electricity costs WASHINGTON and KANSAS CITY, Mo., Aug. 6, 2026 /PRNewswire/ -- Veleonis and co/efficient released Building Faster Than Trust, a survey of 1,566 registered voters on eight major technology and AI companies and America's AI buildout. In the race for scale and national competitiveness, the AI industry made its case to investors and policymakers, but in a game dominated by county and local chokepoints, the industry left a gaping hole - convincing voters to back their cause. Amazon, Apple, Google and Microsoft, brands rooted in commerce, devices, search and productivity, are viewed positively by an average 20-point margin. Anthropic, Meta, OpenAI and X/xAI, rooted in AI, social media or both, are viewed negatively by 20 to 42 points. One group has reputation to protect; the other has trust to earn. Voters readily name trust leaders in established categories: 54 percent choose Google for online search, 34 percent Apple for phone privacy, and 30 percent Microsoft for productivity software. On responsible AI, most name no company at all. Key Findings
That exposure reaches data center developers, investors, utilities, construction firms and public officials. "Trust is becoming a deployment constraint for the AI industry," said Mark Drapeau, founding partner of Veleonis. "Capital can finance a data center and technology can power it, but neither secures public permission. Companies must answer who benefits, who pays and who is accountable." "The industry is selling productivity. Voters are asking about jobs, misinformation, water and electricity," said Ryan Munce, president of co/efficient. "That mismatch becomes political at a statehouse, utility commission or county board, where leaders will be judged on the questions voters are actually asking." Building Faster Than Trust is available at https://dashboards.coefficient.org/ai-study-generic/. Methodology co/efficient surveyed 1,566 registered voters nationwide May 2-4, 2026, by mobile text and landline. The margin of error is ±2.5 points. About Veleonis Veleonis advises leaders where technology, markets, politics and public opinion collide. More: https://www.veleonis.com/ About co/efficient co/efficient provides polling, analytics and messaging for political and public affairs leaders. More: https://coefficient.org/ Media contacts Veleonis co/efficient
SOURCE Veleonis LLC
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