Society for Human Resource Management Urges Government to Delay Implementation of Overtime Regulation Until 2025

The Society for Human Resource Management (SHRM) has recently called on the federal government to delay the implementation of its forthcoming overtime regulation until 2025. The U.S. Department of Labor proposed a Fair Labor Standards Act (FLSA) rule in August that would make it mandatory for employers to pay overtime to all workers earning less than approximately $55,000 when they work more than 40 hours in a workweek. In response, SHRM submitted a comment to the Department of Labor (DOL) requesting an extension of the proposed 60-day implementation period.

The Society for Human Resource Management (SHRM), a professional HR organization, has urged the government to delay the implementation of overtime regulation. SHRM has expressed concerns over the potential challenges faced by businesses if the proposed regulation is implemented without sufficient time for preparation. SHRM argues that the implementation process will primarily fall on HR professionals and business executives, who will need to make crucial decisions regarding salary adjustments or worker reclassifications. However, these decisions will also impact other departments such as finance teams, IT departments, and managers.

Insufficient time for assessment and organizational strategy

In its comment to the DOL, SHRM highlights the need for an extended implementation period, advocating for a delay until January 1, 2025. According to Emily Dickens, SHRM’s Chief of Staff, Head of Public Affairs, and Corporate Secretary, the proposed 60-day period is simply inadequate for businesses to fully assess the final rule, identify affected employees and roles, and develop and execute an organizational strategy with structural changes.

Impact on smaller businesses

SHRM emphasizes that while some employers may be equipped to handle the changes, many smaller businesses are not. Adapting to the overtime regulation would be particularly challenging for these organizations, which may lack the necessary resources or infrastructure to promptly comply with the regulation within a short timeframe.

Concerns about automatic increases for the threshold

Apart from the implementation period, SHRM also raises concerns regarding the DOL’s proposed automatic increases for the salary threshold. The current proposal suggests resetting the threshold every three years. SHRM argues that continued increases in the threshold could lead to a significant reduction in the importance of the FLSA’s duties test, which is an essential component in determining whether employees qualify for overtime pay.

While addressing concerns about the proposed threshold increase, SHRM also suggests that the DOL consider a lower threshold altogether. SHRM acknowledges the need for an adjustment from the current $35,000 threshold but does not provide a specific dollar figure as a recommendation. Nevertheless, the organization believes that the proposed $55,000 threshold represents a considerable leap, requiring careful consideration of the potential consequences for businesses across industries.

The Society for Human Resource Management’s call to delay the implementation of the forthcoming overtime regulation until 2025 emphasizes the need for businesses to have adequate time to assess the final rule, evaluate its impact on their workforce, and make informed decisions about salary adjustments and worker classifications. SHRM highlights the difficulties faced by smaller businesses in complying with the regulation within a short timeframe and expresses concerns about the proposed automatic increases to the salary threshold. As the DOL considers the feedback from SHRM and other stakeholders, it is imperative to strike a balance that ensures fair treatment for workers while also considering the operational challenges faced by businesses of all sizes.

Explore more

Why Poor CRM Data Quality Is Sabotaging Enterprise AI ROI

The modern corporate landscape is currently locked in a high-stakes arms race to integrate artificial intelligence into every facet of sales and marketing, yet most of these digital engines are running on fumes. While executives pour millions into sophisticated neural networks and predictive modeling, they often overlook a sobering reality: artificial intelligence is a force multiplier that accelerates the impact

The Great AI Content Glut Fails to Capture Human Attention

Generative Artificial Intelligence is now capable of producing media at infinite scale with near-zero marginal cost, yet human capacity to process this content remains stubbornly finite. The current digital ecosystem is flooded with an overwhelming volume of automated material that threatens to bury genuine communication under a mountain of synthetic noise. As marketing departments and media houses increasingly rely on

How to Drive B2B Demand with ABM, Brand, and Content

The silent shift of high-value prospects into private digital communities has rendered the traditional, volume-heavy marketing funnel nearly obsolete for modern enterprise organizations. In the current 2026 landscape, the frantic pursuit of lead quantity has been replaced by a sophisticated focus on account quality and relationship depth. Decision-makers are no longer responding to unsolicited outreach; instead, they navigate the “dark

Blogging Success Hits 12-Year Low Despite Record AI Use

The modern digital landscape is currently witnessing a historic collapse in content marketing efficacy that contradicts the massive technological advancements seen over the last few years. While automation tools have flooded the market and become a standard part of the professional workflow, the actual impact of a well-crafted blog post has reached its lowest point since the early 2010s. This

How AI Shopping Assistants Are Transforming Retail Branding

The Intermediary Invasion: When Algorithms Choose Your Wardrobe Digital shoppers are increasingly delegating their entire decision-making process to sophisticated autonomous agents that bypass traditional marketing channels entirely. This transition marks the arrival of a computational layer where an algorithm, rather than a human, determines the value of a brand. As these bots take over the tasks of browsing and comparison,