American Federation Of Teachers Opposes Crypto Market Structure Bill In New Letter

bitcoinistPubblicato 2025-12-11Pubblicato ultima volta 2025-12-11

Introduzione

The American Federation of Teachers (AFT) has formally opposed a proposed crypto market structure bill, urging the Senate Banking Committee to reconsider the legislation. In a letter, AFT President Randi Weingarten called the bill “irresponsible” and “reckless,” warning it could endanger pension funds and retirement plans like 401(k)s by exposing them to volatile and potentially fraudulent crypto assets. She highlighted a provision allowing non-crypto companies to issue stock on blockchain, bypassing existing securities regulations, which could lead to “disastrous outcomes.” The AFT’s opposition aligns with concerns from other groups, including the AFL-CIO and several Democratic senators, who fear the bill may weaken investor protections and potentially trigger another financial crisis. Progress on the bill has been delayed, but a new draft is expected for review soon.

The American Federation of Teachers (AFT) has formally added its voice to the growing opposition against the proposed crypto market structure bill, urging the Senate Banking Committee to reconsider the legislation.

In a letter obtained by CNBC, AFT President Randi Weingarten described the bill as “as irresponsible as it is reckless,” citing the alleged dangers it poses to working families’ pensions and the overall economy.

AFT Calls Out Loopholes In Crypto Legislation

In her correspondence with Senate Banking Committee Chairman Tim Scott and Ranking Member Elizabeth Warren, who is known for her consistent skepticism toward digital assets, Weingarten expressed significant concern about the implications of the proposed legislation.

She stated that the current draft gives the AFT “deep concern” over the risks posed to retirement plans, including the union’s own pensions. Weingarten argued that advancing the crypto legislation could open the door to “widespread fraud” and “unethical practices” within retirement schemes.

Weingarten alleged that the bill “misleadingly” portrays cryptocurrencies as stable and mainstream, despite their volatility. She argued that rather than providing necessary safeguards. “If passed, it will undercut the safety of many assets and cause problems across retirement investments,” she noted.

Among the specific concerns raised by the AFT was a provision allowing non-crypto companies to issue their stock on the blockchain, thus evading existing regulatory frameworks for securities.

Weingarten warned that this loophole and the corresponding erosion of traditional securities laws could have “disastrous outcomes.” She noted that pensions and 401(k) plans may end up invested in unsafe assets, even when they are nominally traditional securities.

Additionally, she criticized the legislation for inadequately addressing the fraud and illegal activities that Weingarten believes remain prevalent in crypto markets, labeling it “irresponsible” and “reckless.”

Delays And Heightened Concerns

In the letter, Weingarten also stressed that if the bill were to become law, it could potentially set the stage for the next financial crisis. The AFT’s stance aligns with concerns previously expressed by the AFL-CIO, the nation’s largest labor union, which also opposed a draft of the crypto bill in October.

In line with Weingarten’s opposition, Democratic senators, including Warren, have raised concerns regarding the balance of regulatory oversight between the Commodity Futures Trading Commission (CFTC) and the Securities and Exchange Commission (SEC).

Massachusetts Secretary of State William Galvin reiterated these concerns in a letter, highlighting that the proposed legislation could exclude significant portions of the financial industry from state oversight, creating risks for millions of savers.

Progress on the Senate’s version of the crypto market structure bill has faced delays, partly attributed to the recent lengthiest government shutdown in US history.

Senator Lummis recently provided insight into potential timelines, indicating that her goal is to share a new draft by the end of the week. She plans to allow both the crypto industry and lawmakers from both parties to review the draft before moving forward with markup next week.

The daily chart shows the total crypto market cap valuation currently at $3.12 trillion. Source: TOTAL on TradingView.com

Featured image from DALL-E, chart from TradingView.com

Domande pertinenti

QWhat is the main reason the American Federation of Teachers (AFT) opposes the crypto market structure bill?

AThe AFT opposes the bill because it believes the legislation is irresponsible and reckless, posing significant risks to working families' pensions and the overall economy by potentially opening the door to widespread fraud and unethical practices within retirement schemes.

QAccording to AFT President Randi Weingarten, what specific loophole in the bill could allow non-crypto companies to evade existing regulations?

AThe bill contains a provision that would allow non-crypto companies to issue their stock on the blockchain, thus evading existing regulatory frameworks for securities.

QWhich two major US regulatory agencies' balance of oversight is a point of concern for Democratic senators regarding this bill?

ADemocratic senators, including Elizabeth Warren, have raised concerns regarding the balance of regulatory oversight between the Commodity Futures Trading Commission (CFTC) and the Securities and Exchange Commission (SEC).

QWhat potential consequence does the AFT warn could occur if this crypto bill becomes law?

AThe AFT warns that if the bill becomes law, it could potentially set the stage for the next financial crisis.

QWhich other large labor union had previously expressed opposition to a draft of this crypto bill, as mentioned in the article?

AThe AFL-CIO, the nation's largest labor union, also opposed a draft of the crypto bill in October.

Letture associate

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit27 min fa

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit27 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit31 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit31 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit31 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit31 min fa

Trading

Spot
活动图片