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Trump’s tariffs raise tax-cut stakes with recession fears rising

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1 year ago

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President Donald Trump’s much bigger-than-expected tariff hikes increase the urgency of the Republican tax-cut package now in negotiation, while threatening to undermine its boost to business and consumer confidence.

With the biggest selloff on Wall Street since the COVID crisis showcasing investor concerns about Trump’s plans to jack up U.S. tariffs against all trading partners, the stakes are now higher for the GOP tax package. A simple extension of the 2017 income-tax cuts that are set to expire at the end of this year would offer no new fiscal stimulus.

“The main question is what do they do that goes beyond extending the 2017 cuts?” said Alec Phillips, chief U.S. political economist at Goldman Sachs Group Inc. “The tariffs that are being discussed look like they are on a larger scale than the net tax cut that seems to be under consideration in Congress.”

Republicans appear aware of the potential trade-off. Senate GOP members this week unveiled a budget blueprint that provided for $1.5 trillion of extra tax reductions, on top of a $4 trillion extension of the 2017 measures. Treasury Secretary Scott Bessent, one of Trump’s main negotiators, said the administration wants to incorporate Trump’s campaign pledges of ending taxes on tips and overtime pay, added relief for seniors and deductions for purchases of U.S.-made cars. Lawmakers are also aiming to include business-tax breaks viewed among the most pro-growth of the proposals.

The White House chief economist, Stephen Miran, also argued on Friday that the administration’s planned wave of deregulation will have a “powerful, and arguably much more powerful,” effect than tariffs.

But the danger is the ramp-up in import levies tips the economy into a downward spiral that makes it tough for tax cuts, a reduced regulatory burden and even lower interest rates to quickly reverse. Bloomberg Economics estimated that, with the panoply of measures Trump has announced, the average U.S. tariff rate is poised to climb to almost 22%, or the highest in roughly a century.

The tariffs aren’t yet fully in place, and may be subject to negotiation. If they do proceed, most economists see a sizable boost to inflation. Federal Reserve Chair Jerome Powell Friday said the price effects could be temporary, or prove “more persistent.” With wage growth slowing, that implies a hit to household incomes. A consumption hit could in turn spur employers to lay off staff and curb investment — even in an environment of cheaper borrowing costs.

“Large shocks are usually associated with nonlinear effects and unintended consequences,” JPMorgan Chase & Co. economists led by Bruce Kasman wrote in a note to clients Thursday. The bank on Friday changed its call on the economic outlook and now sees the U.S. sliding into a recession this year — an outcome Bessent has rejected.

Then there’s the timing issue. The most powerful wave of tariff hikes yet is set to take effect April 9. But the tax-cut legislation is likely months away from passage. Bessent highlighted in a Bloomberg TV interview Wednesday that the Republicans have never been more united. Even so, the so-called reconciliation bill that Republicans are using to bypass Democrats involves a complicated process, requiring many steps before it’s enacted.

And even then, the tax relief is for next year’s income, while the tariff-related risks are surging in the here-and-now. 

“Whatever fiscal oomph that we may get is probably a 2026 reality, whereas the trade policy uncertainty is a headwind to growth is a 2025 reality,” said Richard Clarida, managing director and global economic adviser at Pacific Investment Management Co. and a former Treasury official in the George W. Bush administration. “In the narrow, limiting case, where you don’t do anything on tax on tips or this or that, then there’s essentially no real net stimulus.”

Bessent has repeatedly emphasized that the Trump administration’s priority is Main Street, not Wall Street, and he and the president have embraced the idea of a transition period to where the economy is propelled by the private-sector — rather than the government-led growth pattern they say prevailed under Joe Biden. High import levies could also offer a path toward better trade deals.

“Is this ugly right now? Is this distasteful? Absolutely,” said Phil Orlando, chief market strategist at the asset manager Federated Hermes. “But it was exactly the sort of thing they needed to do in order to get everyone’s attention and start to have a series of negotiations to try to level that playing field and boost economic growth through more normalized trade.”

The tariffs in the meantime will be bringing in fresh revenue to the government, which — while it cannot count toward paying for the tax cuts according to reconciliation-bill rules — may help reduce the outsize federal budget deficit. Bessent has estimated the tariff income at $300 billion to $600 billion a year.

A political risk for the Republicans, beyond any potential recession, is that import duties are regressive — disproportionately affecting lower-income buyers of overseas goods. That risks the working-class voters that helped the GOP secure both the White House and both chambers of Congress in November.

The Tax Foundation, a policy think tank, has estimated the announced tariffs will impose an average tax hike of over $1,900 per household for 2025. By comparison, Senate Majority Leader John Thune said a four-person household with $80,000 in earnings would avoid sending an additional $1,700 to the government next year thanks to the tax package.

The tariffs are “highly damaging and primarily burden low and middle income families,” said Samantha Jacoby, deputy director of federal tax policy at the Center on Budget and Policy Priorities. “Small targeted tax cuts for low income or middle income families doesn’t change that.”

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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7 days ago

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August 15, 2026

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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2 weeks ago

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August 9, 2026

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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2 weeks ago

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August 5, 2026

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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