Indiana Enacts HB 1042, Opening State Retirement Plans to Crypto Investments

TheNewsCryptoPublicado em 2026-03-04Última atualização em 2026-03-04

Resumo

Indiana Governor Mike Braun has signed House Bill 1042 into law, permitting state-managed retirement plans to offer cryptocurrency investment options. The bill, which passed the Indiana General Assembly and received final approval on March 4, requires the Hoosier START 529 plan, the Teachers Retirement Fund, and the Public Employee Retirement Fund to provide a self-directed crypto investment window by July 2027. Participation remains optional for individuals. The legislation also protects crypto users by prohibiting most public agencies from imposing special taxes on crypto payments or banning businesses from accepting digital assets. Additionally, it safeguards the right to use self-hosted wallets and prevents local governments from unfairly targeting or banning crypto mining operations. This move aligns with a growing trend of integrating crypto into traditional financial systems in the U.S.

Indiana has officially entered the crypto domain, with Governor Mike Braun signing House Bill 1042 into law, allowing for digital asset options for investment for specific state-managed retirement plans.

After clearing both chambers of the Indiana General Assembly, the bill obtained final approval from the governor on March 4. While Rep. Kyle Pierce first proposed the legislation on February 25, it was signed by both the Senate President Pro Tempore and the Senate President.

As the Bill includes the Hoosier START 529 education savings plan, the teachers retirement Fund (TRF), and the Public Employee Retirement Fund (PERF), all these plans must offer one crypto investment option through a self-directed brokerage window by July 2027. Where the participation is optional for individuals, it now opens the door to Bitcoin and other digital assets exposure for public workers.

Strengthening Rights for Crypto Holders

As the bill offers protection for crypto users, it stops most public agencies and local governments from imposing special taxes or fees on crypto payments. The bill prevents the government from banning businesses or individuals from accepting crypto as payment for legal goods and services. Also, the bill protects the individual’s right to hold and control their own digital assets using self-hosted, hardware, and non-custodial wallets.

Also, the bill favors mining operations, where the local governments cannot create rules that unfairly target the crypto mining business or individuals. As they are allowed to apply general rules, but they cannot fully ban crypto mining.

The approval of HB 1042 signals increasing crypto policy momentum across the United States. This approval was followed by President Donald Trump signing an order last August allowing 401(k) retirement plans to offer crypto investment options.

With that, Indiana now positions itself as an early adopter in state-level crypto integration and shows a broader shift toward integrating crypto investments into traditional retirement and payment plans.

Highlighted Crypto News:

Pardoned BitMEX Cofounder Pledges £20 Million to London Maths Institute

TagsCryptoIndia

Perguntas relacionadas

QWhat is the main purpose of Indiana's House Bill 1042 that was recently signed into law?

AThe main purpose of Indiana's House Bill 1042 is to allow for digital asset investment options in specific state-managed retirement plans and to provide protections for cryptocurrency users and miners.

QWhich specific state retirement plans in Indiana are required to offer a cryptocurrency investment option by July 2027?

AThe Hoosier START 529 education savings plan, the Teachers Retirement Fund (TRF), and the Public Employee Retirement Fund (PERF) are required to offer a crypto investment option through a self-directed brokerage window by July 2027.

QHow does HB 1042 protect the rights of individuals who hold cryptocurrency?

AThe bill protects individuals by preventing most public agencies from imposing special taxes on crypto payments, banning the prohibition of crypto as payment for legal goods, and safeguarding the right to hold and control digital assets using self-hosted, hardware, and non-custodial wallets.

QWhat restrictions does the new law place on local governments regarding cryptocurrency mining operations?

AThe law prevents local governments from creating rules that unfairly target cryptocurrency mining businesses or individuals. While they can apply general regulations, they are prohibited from implementing a complete ban on crypto mining.

QFollowing Indiana's action, which former US President previously signed an order related to cryptocurrency and retirement plans?

AFormer President Donald Trump signed an order in August allowing 401(k) retirement plans to offer cryptocurrency investment options.

Leituras Relacionadas

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.

marsbitHá 1h

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

marsbitHá 1h

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.

marsbitHá 1h

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

marsbitHá 1h

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.

marsbitHá 1h

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

marsbitHá 1h

Trading

Spot
活动图片