Crypto Dollars Helped Lift U.S. Politicians to Victory in Congressional Primaries

CoinDeskPolicyPublicado a 2024-03-05Actualizado a 2024-03-06

Resumen

Campaign giving from industry sources has factored heavily in several races, aiding some likely future members of Congress, though November will see the major test.

  • Crypto political action committees contributed to congressional candidates who won their primaries on Tuesday, including in Texas, North Carolina and Alabama.
  • The bulk of their giving went to tank U.S. Rep. Katie Porter in her bid for a California Senate seat.

Focused campaign spending from the crypto industry hit paydirt in Super Tuesday elections across the U.S., with several key congressional races going the way the industry had hoped.

Crypto interests had focused special attention on ensuring U.S. Rep. Katie Porter failed to secure a Senate seat in California, based on fears that she'd emulate Sen. Elizabeth Warren (D-Mass.) as a digital assets antagonist. In California's top-two primary contest, initial results show Porter coming in a distant third, which not only leaves the prominent progressive out of the running for the Senate but also out of a job next year in the House of Representatives.

"From the White House to the Senate to the House, make no mistake: The crypto voter is here," said Josh Vlasto, a spokesman for Fairshake and other political action committees (PACs) established by crypto businesses and investors. "The crypto voter cares whose side a candidate is on, and the crypto voter will play a pivotal role in the 2024 elections."

Advertisement
Advertisement

While Porter was the industry’s top target, crypto’s role in her defeat may have been symbolic. Porter never posed a serious threat to U.S. Rep. Adam Schiff (D-Calif.), the open primary winner who will now face Republican Steve Garvey in November for the Senate seat.

In total, the crypto PAC, including Fairshake and Protect Progress, spent more than $13 million on four congressional races, Vlasto reported. Of that amount, more than $10 million was devoted to defeating Porter.

Crypto interests also steered $1.7 million to help Shomari Figures dominate a crowded field of Democrats for a House race in Alabama. Figures – a veteran of several government roles in Washington – once worked for Sen. Sherrod Brown (D-Ohio), who has so far been an impediment to crypto legislation progress as the chair of the Senate Banking Committee. But Figures indicated on his campaign website that he'd "embrace the new landscape around digital assets, like cryptocurrency, to stimulate innovation and technological advancement."

Advertisement
Advertisement

In Texas, the industry PACs backed Julie Johnson with almost $1 million in another congressional race in which she'd so far secured more than half of the vote, despite facing nine other Democratic candidates.

And in North Carolina, the crypto industry boosted Tim Moore for a congressional race there, devoting more than $500,000 to the Republican speaker of the North Carolina House. Moore secured that nomination on Tuesday, and his seat is considered key to a shift toward more Republicans in the state's congressional delegation.

The outcomes in those races represent a preliminary win for crypto interests but whether Congress is friendlier to the sector next year will really turn on what happens in the November general elections. Most importantly, the president for the next four years will determine who is running the regulatory agencies and how they'll operate, and the majority parties in the Senate and House will control the agenda for crypto legislation. But whichever party ascends, progress in Congress will still require the two sides work together.

"We believe crypto election spending could help in the next Congress if the industry's preferred candidates win in November," said Jaret Seiberg, an analyst at TD Cowen, in a research note on Wednesday. Yet it won't be decisive as enough crypto critics will remain to ensure whatever bill advances is a compromise."

"Key critics remain in power, including Senate Banking Chair Sherrod Brown and Sen. Elizabeth Warren," Seiberg noted.

Edited by Kevin Reynolds.

Lecturas Relacionadas

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbitHace 3 hora(s)

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbitHace 3 hora(s)

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbitHace 6 hora(s)

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbitHace 6 hora(s)

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbitHace 9 hora(s)

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbitHace 9 hora(s)

Trading

Spot
Futuros
活动图片