Crypto May Be Loud Online, But Only 4% Of Voters Care: Poll

bitcoinistОпубліковано о 2026-05-14Востаннє оновлено о 2026-05-14

Анотація

A Politico survey reveals a stark disconnect between crypto industry lobbying and U.S. voter priorities. While crypto groups have spent over $130 million on the 2024 elections, only 4% of voters say a candidate's position on crypto would influence their vote. Affordable housing, consumer fraud protection, and lower bank fees rank as far more important issues for voters. The poll also shows public ambivalence toward digital assets. Only 27% support government efforts to make crypto mainstream, while 31% oppose it. Over half of respondents have never traded crypto and don't plan to. Among those who have traded, 7% say a candidate's stance would sway their vote. Furthermore, 45% view crypto investing as a risk not worth taking. Despite low voter interest, Congress is advancing crypto regulation. The Senate Banking Committee is set to vote on a regulatory framework bill, a version of which already passed the House in June.

A separate poll released Friday by HarrisX found that 47% of registered voters said they would consider crossing party lines to support a candidate who backed crypto regulation legislation — a figure that stands in sharp contrast to new data showing crypto barely moves the needle for most Americans when they head to the polls.

The Lobbying Machine Behind The Legislation

The Politico survey, conducted by polling firm Public First and covering 2,035 US adults, found that only 4% of respondents would factor a candidate’s position on crypto into their voting decision.

Source: Politico

Affordable housing topped the list of issues voters want Congress to address, followed by consumer fraud protection and lower bank fees. Crypto regulation came in last.

That gap between voter priorities and industry muscle is hard to ignore. Crypto lobbies spent more than $130 million during the 2024 elections — more than any other industry — and have already committed $320 million to shape the upcoming November midterms, according to data compiled by researcher Molly White.

Survey results on public opinion regarding whether the US government should formally adopt crypto as a mainstream financial asset. Source: Politico.

In Illinois alone, crypto-aligned PACs have spent over $5.5 million opposing specific congressional candidates this year.

BTCUSD currently trading at $79,593. Chart: TradingView

Republican Representative Dusty Johnson acknowledged the disconnect. Most voters don’t think about digital assets, he told Politico, but those who do feel strongly about it. He described it as a high-intensity issue that is slowly growing in public awareness, even if the numbers remain small.

A Public Still Divided On Digital Assets

The survey also captured a broader wariness toward crypto among ordinary Americans. Only 27% said they support or strongly support the US government taking steps to make crypto a mainstream financial asset.

A slightly larger share — 31% — said they oppose or strongly oppose such a move. More than half of respondents said they had never traded crypto and had no plans to do so.

Image: Pexels

Among the 19% who had actually traded crypto, 7% said a candidate’s stance on the issue would influence their vote. The poll also found that 45% of respondents considered crypto investing a risk not worth taking, even with the promise of high returns. Only 25% disagreed.

Senate Moving On Crypto Regulation This Week

Meanwhile, Congress is pushing ahead. The Senate Banking Committee is set to vote on whether to advance a long-awaited bill that would establish a regulatory framework for the crypto industry.

A version of the bill — known as the Clarity Act — already cleared the House in June. Reports indicate the White House has been involved in negotiations between crypto interests and banking lobbies to shape the final version.

Featured image from Unsplash, chart from TradingView

Трендові криптовалюти

Пов'язані питання

QAccording to the poll, what percentage of voters would factor a candidate's position on crypto into their voting decision?

AAccording to the Politico survey, only 4% of respondents would factor a candidate's position on crypto into their voting decision.

QWhat issue topped the list of voter priorities that they want Congress to address, as revealed in the article?

AAffordable housing topped the list of issues voters want Congress to address, according to the survey.

QHow much money did crypto lobbies spend during the 2024 elections, and how does this compare to other industries according to the data cited?

ACrypto lobbies spent more than $130 million during the 2024 elections, which was more than any other industry.

QWhat percentage of survey respondents support the US government taking steps to make crypto a mainstream financial asset?

AOnly 27% of survey respondents said they support or strongly support the US government taking steps to make crypto a mainstream financial asset.

QWhat legislative action is the Senate Banking Committee set to take regarding crypto, as mentioned in the article?

AThe Senate Banking Committee is set to vote on whether to advance a long-awaited bill, known as the Clarity Act, which would establish a regulatory framework for the crypto industry.

Пов'язані матеріали

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit50 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit50 хв тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit2 год тому

Торгівля

Спот

Популярні статті

Як купити 4

Ласкаво просимо до HTX.com! Ми зробили покупку 4 (4) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити 4 (4).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої 4 (4)Після придбання 4 (4) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля 4 (4)Легко торгуйте 4 (4) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

526 переглядів усьогоОпубліковано 2025.10.20Оновлено 2026.06.02

Як купити 4

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни 4 (4).

活动图片