Accounting
Administration calls for less AI regulation, tax-free AI training
The White House has released what it calls
Regulation, deregulation and standards
Among many other things, the plan calls for the Department of Commerce, in cooperation with the National Institute of Standards and Technology, to convene a broad range of public, private and academic stakeholders to accelerate the development and adoption of national standards for AI systems and to measure how much AI increases productivity at realistic tasks in those domains. The administration believes this will encourage AI adoption.
“Many of America’s most critical sectors, such as healthcare, are especially slow to adopt due to a variety of factors, including distrust or lack of understanding of the technology, a complex regulatory landscape, and a lack of clear governance and risk mitigation standards. A coordinated federal effort would be beneficial in establishing a dynamic, ‘try-first’ culture for AI across American industry,” said the document.
The plan also calls for guidelines and resources for federal agencies to conduct their own evaluations of AI systems for their distinct missions and operations and for compliance with existing law, as well as supporting the development of the science of measuring and evaluating AI models. Further, it would promote the development of the science of measuring and evaluating AI models in an effort led by NIST at DOC, the Department of Education, the National Science Foundation, and other federal science agencies.
At the same time, the administration also believes regulations need to be rolled back. The plan recommends working with federal agencies to identify, revise or repeal regulations, rules, memoranda, administrative orders, guidance documents, policy statements and interagency agreements that are felt to be unnecessarily hindering AI development or deployment, as well as soliciting feedback from businesses and the public at large about current regulations that hinder AI innovation and adoption, and work with relevant federal agencies to take appropriate action.
Meanwhile, in order to encourage the building of data centers, the plan would weaken certain environmental regulations, like the Clean Water Act, expedite environmental permitting, and make federal lands available for construction.
It also recommended a review of all Federal Trade Commission investigations commenced under the previous administration to ensure they do not advance theories of liability that unduly burden AI innovation.
AI regulation in the future could come from the establishment of regulatory sandboxes or AI Centers of Excellence where researchers, startups and established enterprises can rapidly deploy and test AI tools while committing to open sharing of data and results. These efforts would be enabled by regulatory agencies such as the Food and Drug Administration and the Securities and Exchange Commission, with support from the Commerce Department through its AI evaluation initiatives at NIST.
The plan also seems concerned about ensuring models conform with certain values. Specifically, the administration wants to revise the NIST AI Risk Management Framework to eliminate references to misinformation, diversity, equity and inclusion, and climate change. Further underscoring the point, it also wants to update federal procurement guidelines to ensure that the government only contracts with frontier large language model developers who ensure their systems are perceived by the administration as objective and free from top-down ideological bias.
Training and labor
The plan also contains a number of labor and training-related measures in recognition of widespread anxiety about mass job loss in the wake of AI.
Under the plan, the Treasury Department would release guidance clarifying that many AI literacy and AI skill development programs may qualify as eligible educational assistance under Section 132 of the Internal Revenue Code, given AI’s widespread impact reshaping the tasks and skills required across industries and occupations. In certain situations, this will enable employers to offer tax-free reimbursement for AI-related training and help scale private-sector investment in AI skill development.
Meanwhile, the Department of Labor would leverage its available discretionary funding for the rapid retraining for individuals impacted by AI-related job displacement. Paired with this would be clarifying guidance to help states identify eligible dislocated workers in sectors undergoing significant structural change tied to AI adoption, as well as guidance clarifying how state Rapid Response funds can be used to proactively upskill workers at risk of future displacement.
The plan would also support the creation of industry-driven training programs that address workforce needs tied to priority AI infrastructure occupations as well as expand early career exposure programs and pre-apprenticeships that engage middle and high school students in priority AI infrastructure occupations.
Market development
The plan also suggests measures to grow and mature the financial market for the kind of large-scale computing power generally needed by startups and academic institutions developing AI technologies. Right now such arrangements often involve long-term contracts, which are beyond the budgetary reach of most. The administration would like to increase access in a similar manner as other financial offerings.
“America has solved this problem before with other goods through financial markets, such as spot and forward markets for commodities. Through collaboration with industry, NIST at DOC, OSTP, and the National Science Foundation’s (NSF) National AI Research Resource (NAIRR) pilot, the Federal government can accelerate the maturation of a healthy financial market for compute,” said the plan.
The plan also calls for working with tech companies to increase access to private sector computing, models data and software resources for the research community.
This is part of the larger push to encourage open-source and open-weight models that are freely available by developers for anyone in the world to download and modify. Such models, according to the document, have unique value for innovation as they can be used without being dependent on the model provider. That would also allow those with sensitive data to use AI without sending information to the vendor’s servers.
“We need to ensure America has leading open models founded on American values. Open source and open-weight models could become global standards in some areas of business and in academic research worldwide. For that reason, they also have geostrategic value. While the decision of whether and how to release an open or closed model is fundamentally up to the developer, the federal government should create a supportive environment for open models,” said the plan.
Other topics covered include combating deep fakes and other synthetic media, science funding, cybersecurity and trade. Overall, the administration said winning the “AI race” is essential for maintaining U.S. power and influence.
“Whoever has the largest AI ecosystem will set global AI standards and reap broad economic and military benefits,” said the document. “Just like we won the space race, it is imperative that the United States and its allies win this race.”
Over the last few years, AI has gone from being a novelty to a mission-critical business strategy for many accountants. Innovative, forward-thinking firms are using these tools to streamline manual tasks, ensure compliance and provide the best possible service to their clients. According to the 2025 Intuit QuickBooks
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However, AI adoption is at varying levels across the industry. While nearly every firm has begun experimenting with basic AI tools, many remain in a sandbox phase, hesitant to move toward full-scale integration due to perceived complexity or costs.No matter where you may fall on the integration spectrum, the fact remains: AI is rapidly reshaping the accounting industry. If you’ve delayed AI adoption in your business, you’ll want to create a focused plan to catch up.
Time is of the essence, but don’t sacrifice strategy for speed
Firms that are ready to take the leap from casual use to deep integration may find themselves in need of accelerated adoption, but speed should not come at the cost of strategy. Identify tangible, practical ways that easy-to-use tools can impact your business through automation. Having a strong strategic focus allows firms to implement workflow changes to streamline manual tasks, ensure compliance and provide excellent service to your clients.
To begin your AI journey, here is a four-step plan that firms can use to transition from experimentation to execution, in a safe, practical manner:
Step 1: Kick off your first AI project
As is the case with many things, getting started is often the most challenging step. While enthusiasm is high, uncertainty with implementation risks can cause hesitation. The key is to lower risk by embracing AI and implementing an intentional, phased approach. Begin by weaving AI tools into high-impact, low-risk tasks, such as summarizing meeting notes, drafting client or firm-wide memos, or translating complex concepts into easy-to-understand ideas. Monitor results carefully and, if these initial attempts need adjustment, be prepared to pivot to the next use case until you can clearly demonstrate that AI systems are delivering a measurable impact on your operations. From there, you can learn from early experiences, adapt strategy, and scale appropriately to complete more complex projects.
Step 2: Dig into your AI toolkit
The marketplace is crowded with AI-powered tools that promise to do everything from enhancing your workflows to improving the customer experience. It can be hard to know which ones are worth investing your time and money. Find a trusted source like a respected peer, or leverage your professional network to help discuss the tools that may be the best fit for achieving your business goals. You can also look within the tools you’re already using to see if they offer AI-powered features, which can help ease into the transition. Additionally, look for free high-quality education to upskill your team. For example, Anthropic offers a Claude AI University that provides excellent foundational resources for moving beyond basic prompts.
Step 3: Review an AI security checklist
An important element in AI implementation is security. With AI tools needing access to firm and client data to function, it leads to questions of how the data will be protected. This makes the right AI and cybersecurity strategy critical. Firms must proactively ensure that client data remains protected from today’s increasingly sophisticated threats by embracing an established cybersecurity framework such as
Step 4: Openly discuss AI usage with your clients
Once you’ve established the best way to use AI tools that meet your firm’s needs, you’ll want to communicate all of the advantages afforded by these tools to your clients. Make sure you highlight the benefits and simultaneously ensure you are addressing any potential concerns. It’s also important to get explicit consent from all clients if you’re sharing their information with the third-party tools you may use. While this might seem like an extra step, it will go a long way toward fostering a greater level of transparency and deepen trust between you and your clients.
Don’t get left behind
Adopting AI does not have to be intimidating, expensive or overly complex. Think of it as a strategic business move that will not only keep you competitive, but will potentially free you up to focus on keeping clients happy and growing your practice. By strategically focusing on these best practices, identifying AI use cases in a phased approach, evaluating the right tools for your business, ensuring client information is secure and clearly communicating your AI strategy, you’ll be AI-ready in no time.
The Financial Accounting Standards Board met this week to discuss its projects on accounting for transfers of cryptocurrency assets and enhancing the disclosures around certain digital assets, such as stablecoins.
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During Wednesday’s meeting, FASB’s board made certain tentative decisions, according to a
At a future meeting, the board plans to consider clarifying the derecognition guidance for crypto transfer arrangements to assess whether the control of a crypto asset has been transferred.
FASB also began deliberations on the
The board decided to provide illustrative examples in Topic 230, Statement of Cash Flows, to clarify whether certain digital assets such as stablecoins can meet the definition of cash equivalents. It also decided to include the following concepts in the illustrative examples:
- Interpretive explanations that link to the current cash equivalents definition;
- The amount and composition of reserve assets; and,
- The nature of qualifying on-demand, contractual cash redemption rights directly with the issuer.
FASB plans to clarify that an entity should consider compliance with relevant laws and regulations when it’s creating a policy concerning which assets that satisfy the Master Glossary definition of the term “cash equivalents“ will be treated as cash equivalents.
“I agree with the staff suggestion to look at examples,” said FASB vice chair Hillary Salo. “From my perspective, I think that is going to help level the playing field. People have been making reasonable judgments. I agree with that. And I think that this is really going to help show those goalposts or guardrails of what types of stablecoins would be in the scope of cash equivalents, and which ones would not be in the scope of cash equivalents. I certainly appreciate that approach, and I think it has the least potential impact of unintended consequences, because I do agree with my fellow board members that we shouldn’t be changing the definition of cash equivalents, and it’s a high bar to get into the cash equivalent definition.”
“I’m definitely supportive of not changing the definition of cash equivalents,” said FASB chair Richard Jones. “I believe that’s settled GAAP in a way, and we’re not really seeing a call to change it for broader issues. I am supportive of the example-based approach. The challenge with examples, though, is everybody’s going to want their exact pattern, but that’s not what we’re doing.”
The examples will explain the rationale for how digital assets such as stablecoins do or do not qualify as cash equivalents and give a roadmap for other types of digital assets with varying fact patterns to be able to apply.
“We really don’t want to be as a board facing a situation where something was a cash equivalent and then no longer is at a later date,” said Jones. “That’s not good for anyone, so keeping it as a high bar with certain rigid criteria, I think, is fine.”
Stablecoins are supposed to be pegged to fiat currencies such as U.S. dollars and thus provide more stability to investors. “In my view, while a stablecoin may meet the accounting definition established for cash equivalents, not every one of those stablecoins in the cash equivalent classification represents the same level of risk,” said FASB member Joyce Joseph.
She noted that the capital markets recognize the distinctions and have established a Stablecoin Stability Assessment Framework to evaluate a stablecoin’s ability to maintain its peg to a fiat currency. Such assessments look at the legal and regulatory framework associated with the stablecoin, and provide investors with information that could enable them to do forward-looking assessments about the stability of the stablecoin.
“However, for an investor to consider and utilize such information for a company analysis the financial statement disclosures would need to include information about the stablecoin itself,” Joseph added. “In outreach, the staff learned that investors supported classifying certain stablecoins as cash equivalents when transparent information is available about the entities at which the reserve assets are held. Therefore, in my view, taking all of this into consideration a relevant and informative company disclosure would include providing investors with the name of the stablecoin and the amount of the stablecoin that is classified as a cash equivalent, so investors can independently assess the liquidity risks more meaningfully and more comprehensively by utilizing broader information that is available in the capital markets and its emerging information.”
Such information could include the issuer, reserves, governance and management, she noted, so investors would get a more holistic look at the risks that holding the stablecoin would entail for a given company.
The board decided to require all entities to disclose the significant classes and related amounts of cash equivalents on an annual basis for each period that a statement of financial position is presented.
Entities should apply the amendments related to the classification of certain digital assets as cash equivalents on a modified prospective basis as of the beginning of the annual reporting period in the year of adoption.
FASB decided that entities should apply the amendments related to the disclosure of the significant classes and amounts of cash equivalents on a prospective basis as of the date of the most recent statement of financial position presented in the period of adoption.
The board will allow early adoption in both interim and annual reporting periods in which financial statements have not been issued or made available for issuance.
FASB also decided to permit entities to adopt the amendments to be illustrated in the examples related to the classification of certain digital assets as cash equivalents without the need to perform a preferability assessment as described in Topic 250, Accounting Changes and Error Corrections.
The board directed the staff to draft a proposed accounting standards update to be voted on by written ballot. The proposed update will have a 90-day comment period.
Senators introduced several pieces of tax-related legislation this week, including measures aimed at improving customer service at the Internal Revenue Service, cracking down on tax evasion and curbing the carried interest tax break, in addition to efforts in the House to repeal the Corporate Transparency Act.
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Senators Bill Cassidy, R-Louisiana, and Mark Warner, D-Virginia, teamed up on introducing a bipartisan bill, the
The bill would establish a dashboard to inform taxpayers of backlogs and wait times; expand electronic access to information and refunds; expand callback technology and online accounts; and inform individuals facing economic hardship about collection alternatives.
“Taxpayers deserve a simple, stress-free experience when dealing with the IRS,” Cassidy said in a statement Wednesday. “This bill makes the process quicker and easier for taxpayers to get the information they need.”
He also mentioned the bill during a
“I’m happy to meet with the team … and do all I can to make it as good as you want it to be,” said Bisignano.
“My bill would equip the IRS with the legislative mandate to create an online dashboard so that taxpayers can monitor average call wait time and budget time accordingly,” said Cassidy. He noted that the bill would allow a callback for taxpayers that might need to wait longer than five minutes to speak to a representative, and establish a program to identify and support taxpayers struggling to make ends meet by providing information about alternative payment methods, such as installments, partial payments and offers in compromise.
“I know people are kind of desperate and don’t know where to turn for cash, so I think this could really ease anxiety,” he added. “This legislation is bipartisan and is likely to pass this Congress.”
Cassidy and Warner
“Taxpayers shouldn’t have to jump through hoops to get basic answers from the IRS — and in the last year, those challenges have only gotten worse,” Warner said in a statement. “I am glad to reintroduce this bipartisan legislation on Tax Day to ease some of this frustration by increasing clear communication and making IRS resources more readily available.”
Stop CHEATERS Act
Also on Tax Day, a group of Senate Democrats and an independent who usually caucuses with Democrats teamed up to introduce the Stop Corporations and High Earners from Avoiding Taxes and Enforce the Rules Strictly (Stop CHEATERS) Act.
Senate Finance Committee ranking member Ron Wyden, D-Oregon, joined with Senators Angus King, I-Maine, Elizabeth Warren, D-Massachusetts, Tim Kaine, D-Virginia, and Sheldon Whitehouse, D-Rhode Island. The bill would provide additional funding for the IRS to strengthen and expand tax collection services and systems and crack down on tax cheating by the wealthy.
“Wealthy tax cheats and scofflaw corporations are stealing billions and billions from the American people by refusing to pay what they legally owe, and far too many of them are getting a free pass because Republicans gutted the enforcement capacity of the IRS,” Wyden said in a statement. “A rich tax cheat who shelters mountains of cash among a web of shell companies and passthroughs is likelier to be struck by lightning than face an IRS audit, and Republicans want to keep it that way. This bill is about making sure the IRS has the resources it needs to go after wealthy tax cheats while improving customer service for the vast majority of American taxpayers who follow the law every year.”
Earlier this week. Wyden also
The Stop CHEATERS Act would provide the IRS with additional funding for tax enforcement focused upon high-income tax evasion, technology operations support, systems modernization, and taxpayer services like free tax-payer assistance.
“As Congress seeks ways to fund much-needed policy priorities and address our growing national debt, there is one common sense solution that should have unanimous bipartisan support: let’s enforce the tax laws already on the books,” said King in a statement. “Our legislation will make sure the IRS has the resources it needs to confront the gap between taxes owed and taxes paid – while ensuring that our tax enforcement professionals are focused on the high-income earners who account for the most tax evasion. This is a serious problem with an easy solution; let’s pass this legislation and make sure every American pays what they owe in taxes.”
Carried interest
Wyden, King and Whitehouse also teamed up on another bill Thursday to close the carried interest tax break for hedge fund managers that
Carried interest is a form of compensation received by a fund manager in exchange for investment management services, according to a
Under the bill, the
“Our tax code is rigged to favor ultra-wealthy investors who know how to game the system to dodge paying a fair share, and there is no better example of how it works in practice than the carried interest loophole,” Wyden said in a statement. “For several decades now we’ve had a tax system that rewards the accumulation of wealth by the rich while punishing middle-class wage earners, and the effect of that system has been the strangulation of prosperity and opportunity for everybody but the ultra-wealthy. There are a lot of problems to fix to restore fairness and common sense to our tax code, and closing the carried interest loophole is a great place to start.”
Repealing Corporate Transparency Act
The House Financial Services Committee is also planning to markup a bill next Tuesday that would fully repeal the Corporate Transparency Act, which has already been significantly
If enacted, the repeal would eliminate beneficial ownership reporting requirements, removing a transparency measure designed to help law enforcement and national security officials identify who is behind U.S. companies.
“This repeal would turn the United States back into one of the easiest places in the world to set up anonymous shell companies, something Congress worked for years to fix,” said Erica Hanichak, deputy director of the FACT Coalition, in a statement. “These entities are routinely used to facilitate corruption, financial crime, and abuse. Rolling back the CTA doesn’t just weaken transparency, it signals to bad actors around the world that the U.S. is once again open for illicit business.”
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