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By:

Sumit Ranjan Das

21 August 2024 at 4:08:59 pm

EPFO’s Big Wage-Band Reset

Twelve years is a long time for a wage ceiling to remain unchanged. The last revision came in September 2014, when the limit was raised from Rs.6,500 to Rs.15,000. Last week, the Union Cabinet approved another increase, taking the ceiling to Rs.25,000 a month with effect from 17 September 2026. The government’s estimate is that more than 51 lakh additional employees will come within mandatory EPFO coverage as a result of the change. For employers and payroll professionals, however, the...

EPFO’s Big Wage-Band Reset

Twelve years is a long time for a wage ceiling to remain unchanged. The last revision came in September 2014, when the limit was raised from Rs.6,500 to Rs.15,000. Last week, the Union Cabinet approved another increase, taking the ceiling to Rs.25,000 a month with effect from 17 September 2026. The government’s estimate is that more than 51 lakh additional employees will come within mandatory EPFO coverage as a result of the change. For employers and payroll professionals, however, the headline number is only the starting point. The more important questions are who will be covered, which wages will be taken into account and how the revised provisions will be implemented. Wage Ceiling The existing wage ceiling of Rs.15,000 a month is being raised by Rs.10,000, or 66.7 percent, to Rs.25,000. The change takes effect from 17 September 2026 and marks the first revision since September 2014. The government expects more than 51 lakh additional employees to be covered. Estimated expenditure is about Rs.56,696 crore over five years, while annual government outgo is expected to rise to approximately Rs.11,339 crore. The standard contribution remains 12 percent each from the employee and employer, subject to applicable provisions. The Cabinet said the decision will expand access to provident-fund savings, pension protection under the Employees’ Pension Scheme (EPS) and insurance protection under the Employees’ Deposit Linked Insurance Scheme (EDLI), in accordance with the applicable scheme provisions. The wage ceiling is not merely an administrative threshold. It determines the point at which mandatory EPF coverage applies under the existing framework. At present, a fresh employee joining employment at wages above Rs.15,000 a month is not automatically brought within mandatory EPF coverage and may remain outside mandatory provident-fund, pension and associated insurance protection, subject to applicable statutory provisions. The revised ceiling will bring a substantial section of employees earning between Rs.15,000 and Rs.25,000 within the mandatory coverage framework. The government has also quantified the fiscal impact. The estimated expenditure is about Rs.56,696 crore over five years, while annual government outgo is expected to rise to approximately Rs.11,339 crore, compared with existing annual budgetary support of about Rs.10,250 crore. The Labour Ministry has linked the revision to sustained wage growth, rising incomes and the continued expansion of formal employment since the previous revision in 2014. Payroll Illustration Consider an employee earning Rs.22,000 a month who becomes subject to mandatory coverage under the revised ceiling. At the standard 12 percent contribution rate, if the full eligible wage is used as the contribution base, the employee’s contribution would rise from Rs.1,800 to Rs.2,640 a month, while the employer’s contribution would similarly rise from Rs.1,800 to Rs.2,640. Total monthly contributions would therefore increase from Rs.3,600 to Rs.5,280 — a combined increase of Rs.1,680. However, this should not be treated simply as Rs.1,680 of additional employee savings. Contributions are allocated between EPF and EPS components as prescribed, with the EPF component accumulating in the employee’s account and the EPS component providing pension benefits subject to scheme conditions. The Rs.22,000 example is illustrative, not a universal payroll formula. The final treatment of wage components, existing employees in this band, EPS allocation and transitional matters will depend on the statutory notification and EPFO implementation instructions. For payroll professionals, the immediate task is to assess the operational impact. Key questions include the effective date for existing employees and new joiners, which wage components will count towards PF, whether the 10 percent concessional rate for notified establishments will continue, how the revised ceiling will interact with EPS pensionable wages, and what changes will be required in payroll systems. The Cabinet approval establishes the policy decision; the formal Gazette notification and EPFO instructions will determine how it is translated into payroll processes. The revised ceiling is the first increase since September 2014 and is expected to bring more than 51 lakh additional employees, particularly those in the Rs.15,000-Rs.25,000 wage band, under mandatory EPFO coverage. For them, the change can expand access to provident-fund savings, EPS pension and EDLI insurance, subject to scheme provisions. For employers, it means reviewing payroll costs, employee data, eligible wage components, contribution calculations and compliance systems. The government has described the move as part of efforts to extend statutory social security and strengthen formal employment. The policy has been announced. For payroll professionals, the next chapter is implementation. (The writer is a Cost and Management Accountant and founder of TaxoDas. Views personal

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Writer: Dr. Ramnath Babu T J
Dr. Ramnath Babu T J
Nov 7, 2024
3 min read

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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