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Administration calls for less AI regulation, tax-free AI training

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The White House has released what it calls America’s AI Action Plan, which calls for a wide variety of measures involving AI, such as cutting regulations, promoting standards, developing the market and aligning models with certain values.

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.”

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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