
Accounting Today
Accounting Today
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The acceleration of artificial intelligence (AI) adoption across industries has become one of the most transformative business stories of the decade. Companies are not merely deploying AI to augment human productivity, they are redesigning workflows, reducing headcount, and reallocating capital toward AI systems and data infrastructure. This has operational and ethical implications in addition to tax consequences that few organizations have fully explored.
The recent One Big Beautiful Bill Act (OBBBA), which permanently reinstated 100% bonus depreciation for qualified capital investments and immediate expensing for research and development (R&D) expenditures, adds new urgency to this analysis. The bill effectively removes tax friction that once discouraged large-scale investment in technology and automation.
The OBBBA codifies a new economic reality: U.S. tax policy now actively subsidizes the move from human labor to AI, rewarding companies that reinvest workforce dollars into automation.
For decades, labor dominated the cost structure of most enterprises. Today, the OBBBA has fundamentally changed the economics of workforce planning. U.S. tax policy now favors automation over labor, creating strong incentives for companies to redirect spending from payroll to capital investments. As businesses replace portions of their workforce with AI systems, labor expenses decline while capital expenditures rise.
Under these provisions, AI-related costs can be:
These rules deliver immediate advantages: lower effective tax rates, improved cash flow from accelerated deductions, and short-term valuation boosts. However, timing matters. As payroll shrinks and capital spending stabilizes, recurring deductible expenses decline, increasing taxable income in later years. In essence, automation delivers a front-loaded deduction surge followed by a steady-state flattening, requiring careful timing and multi-year modeling.
Takeaway: Tax rules reward automation, but businesses must weigh short-term gains against long-term impacts to optimize cash flow and maintain compliance.
Understanding these tax dynamics is only the first step. As automation directs cost structures, tax can no longer be an afterthought. It must be included in strategic decision-making. The financial and operational impact of AI adoption puts added pressure on leaders to integrate tax strategy into every stage of automation planning.
Forward-thinking companies should:
In the automation era, tax becomes a catalyst for innovation, guiding decisions that drive efficiency, growth, and competitiveness.
Takeaway: Companies that integrate tax considerations early into automation planning are better positioned to capture incentives, optimize cash flow, and maintain compliance.
When payroll is replaced with AI investment, enterprise value experiences a temporary boost as businesses look more profitable and cash-rich on paper:
These gains are often timing-based, not permanent. Once deductions normalize, valuation effects fade, requiring proactive and ongoing financial planning.
Takeaway: Treat automation’s valuation uplift as short-term. Model deferred tax impacts and clearly communicate what’s driving results to stakeholders.
As your company adopts AI and automation, state and local taxes (SALT) can shift in ways that affect your bottom line. Here’s what matters most:
Automation redesigns your tax footprint in several ways:
Expect less exposure in high-payroll states and more where data centers or automation hubs are located.
Federal law allows full, immediate write-offs for R&D and equipment, but states vary:
Track which states align with federal rules before making major automation investments.
While automation reduces headcount, it opens doors to new savings:
Combine state incentives with federal expensing for maximum benefit.
Automation redefines tax presence:
Update your tax strategy to reflect technology-driven nexus and map where your digital presence creates tax obligations.
Here’s how to prepare for automation-driven changes:
These steps help your organization adapt effectively, reduce risk, and capture every available tax advantage.
The move from labor to capital investment is redefining where companies locate operations as property replaces payroll in apportionment formulas. Historically, enterprises chose locations based on access to skilled labor and payroll-tax efficiency. In the automation era, those decisions increasingly hinge on where capital is taxed rather than where people are paid.
Key factors in site selection:
States taxing capital lightly will attract AI data centers, robotics facilities, and digital infrastructure. Expect a new era of state competition as jurisdictions:
Takeaway: Consider state tax, property cost, and incentive policy when determining where to locate AI and automation investments.
Understanding how tax policy aligns with automation leads to smarter business decisions. Tax leaders have an opportunity to influence workforce design, capital allocation, and long-term competitiveness.
If your organization is exploring AI adoption, consider how federal and state tax rules, credits, and planning strategies fit into your roadmap. Engaging tax advisors early can help you capture benefits and position your business for sustainable growth.
Contact us today to start the conversation.
The information provided in this communication is of a general nature and should not be considered professional advice. You should not act upon the information provided without obtaining specific professional advice. The information above is subject to change.


In private equity, audit readiness is often framed around portfolio companies and their ability to deliver timely, accurate financials. But what happens when the lens shifts to the fund itself?
Fund-level audits, particularly for Small Business Investment Companies (SBICs), introduce a distinct set of challenges and compliance requirements that deserve equal attention. While delays at the portfolio level can erode investor trust and complicate reporting cycles, inefficiencies at the fund level may disrupt capital calls, delay distributions, and invite regulatory scrutiny.
Fund managers must understand the distinct audit rules tied to fund classification. For funds operating under the SBIC program, the stakes are even higher as noncompliance can jeopardize access to Small Business Administration (SBA) leverage and hinder future fundraising efforts.
This guide explores the nuances of fund-level audit preparedness, outlines key differences between SBIC and non-SBIC audits, and offers practical strategies for managing both effectively.
Based on our experience with portfolio company audits, many of the same challenges show up at the fund level, often with added complexity, regulatory pressure, and tighter timelines. Below are several frequent issues that can be avoided with thoughtful planning and the right resources:
Fund-level audits require a clear understanding of how accounting standards differ across fund types. These six steps can help improve your audit preparation and reduce compliance risk:
Be ready to provide a breakdown of all investments, including any adjustments made to fair value and the rationale behind them.
Auditors will require financials from underlying portfolio companies to validate fund-level reporting.
Maintain clear documentation of valuation methodologies and support for any changes in investment value.
At Elliott Davis, we specialize in guiding private equity firms through both portfolio and fund-level audits. Whether you're working through GAAP, SBA standards, or both, our team offers tailored support to streamline your audit process and build investor confidence.
Reach out today to learn how we can help make your next audit cycle smoother.
Looking for guidance on portfolio company audit readiness? Check out our related article.
The information provided in this communication is of a general nature and should not be considered professional advice. You should not act upon the information provided without obtaining specific professional advice. The information above is subject to change.


Physician and clinical services like infusion, behavioral health, dental, and specialty care account for nearly 20% of U.S. healthcare spending. The sector is expansive, essential, and growing fast. Yet for most-mid-sized practices, that growth is shadowed by rising costs, staffing shortages, and operational challenges.
With multiple locations and service lines, understanding your true profitability is the key to stability, smarter resource allocation, and sustainable growth. Margin analysis in healthcare reveals hidden inefficiencies and enables data-driven decisions that create measurable value.
Operating margins are the backbone of performance. They show whether a healthcare practice can cover its costs and still reinvest in people, technology, and future growth.
Despite their importance, many practices only review margins annually, if at all. With reimbursements tightening and expenses surging, an annual approach is no longer enough. Leaders need real-time visibility into performance across locations, services, and payers to make informed decisions.
Margin analysis empowers healthcare organizations to:
Without this insight, companies risk making decisions based on assumptions, investing in underperforming services, and missing opportunities to scale.
For information on strategic market positioning and how benchmarking fuels smarter business decisions, read our related insight.
A growing multi-specialty healthcare practice with over a dozen physicians and multiple locations was preparing for a sale but lacked financial clarity around profitability by doctor, location, or specialty. When the leadership team engaged an investment bank, they were told the business couldn’t be taken to market until the financials were in order, an exercise that delayed their plans. In short, they weren’t deal-ready.
By segmenting financial data by provider and service line, the practice uncovered data that showed infusion services (previously lumped into general revenue) were driving a disproportionately high margin. This insight helped them identify ways to optimize operations and position infusion services as a key selling point for private equity buyers.
With a clear understanding of profitability, the practice was able to restructure its reporting and move forward with a successful sale.
Click here for the full case study.
Healthcare organizations often continue to rely on archaic systems to track important data. Many have not optimized their reporting, leading to delays in delivering financial statements and key performance indicators (KPIs). This lack of urgency can lead to compounding issues that don’t get addressed until it’s too late—when expenses have exceeded budgets, overtime has been paid, and other variable costs have disrupted cash flow and profitability.
Real-time dashboards can change the game.
When operational leaders have access to integrated, up-to-date financial and clinical data, they can act accordingly in real-time by:
For more information on how a management reporting system transforms decision-making for healthcare entrepreneurs, read our related insight.
There is no single benchmark for a “good” margin across healthcare in general. A mature urgent care clinic might operate efficiently at 15%, while a well-established dental group might aim for 30–40%. What matters most is whether your margin can sustain your business model, support future growth, and absorb risk. That answer depends on your stage of growth, payer mix, and operational efficiency.
Benchmarking can provide helpful context, but only if applied carefully.
Too often, practices compare themselves against industry averages without accounting for key variables. Consider:
For example, an oral surgery group in expansion mode may show thinner margins than the average for general dental offices, but those higher fixed costs and startup investments may lead to outsized returns over time.
At Elliott Davis, we help organizations understand their true profitability. Our team works with customers to build margin dashboards, define KPIs, capitalize on cost-saving opportunities, and develop pricing models rooted in real performance data.
We also help align teams to break down silos and enable cross-functional discipline across budgeting, planning, and execution.
When margins are under pressure, the smartest investment is visibility. Let us help turn your data into decisions. Contact us today to get started.
The information provided in this communication is of a general nature and should not be considered professional advice. You should not act upon the information provided without obtaining specific professional advice. The information above is subject to change.