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Guide to the saver’s match for financial advisors

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Tens of millions of lower-income retirement savers could soon get up to $1,000 in matching contributions toward their nest eggs each year — but they’ll need financial advisors’ help.

That’s the key takeaway from a report last month by The Morningstar Center for Retirement & Policy Studies and interviews with four experts about the “saver’s match” program, which is a provision of the sweeping 2022 Secure 2.0 retirement law that’s slated to take effect in 2027. As the replacement for the current “saver’s credit,” the match provides up to 50% in annual matching contributions from the federal government on the first $2,000 flowing into a saver’s retirement account for those with modified adjusted gross income of $35,500 or less for individuals or a maximum of $71,000 for couples.

READ MORE: The retirement savings race gap is wide and growing

Financial advisors often focus on high net worth clients whose wealth stretches far beyond that eligibility. However, they also frequently work with clients whose businesses sponsor employer retirement plans that must adjust their systems and raise workers’ awareness to enable them to fully tap into their benefits. Many firms and advisors also regularly participate in pro bono planning that aids people of any means with volunteer services. Amid persistent racial disparities in retirement savings and the continuing flow of Secure 2.0 provisions taking effect across the retail wealth management industry, professionals will play a pivotal role in ensuring that the saver’s match reaches its potential to boost millennial and Generation Z nest eggs by a mean of 12%, the report said.

“The impact is intuitively the biggest when people are changing their behavior, taking full advantage,” said Spencer Look, an associate director of retirement studies with Morningstar’s retirement center and co-author of the report. “There could be a big impact if we do that well as an industry and we implement this well.”

Advisors, employers and other parts of the 401(k) and retirement-savings ecosystem require some time to “not only to get the infrastructure, the plumbing in place,” but try to “target the potentially eligible participants in their plans and make sure they understand this is free money to them,” said Jack VanDerhei, the director of retirement studies with Morningstar’s retirement center and the other co-author of the study. For example, some of the eligible workers who aren’t currently 401(k) plan participants may need to set up their first individual retirement account in order to receive the government matching contributions. At the very least, advisors should know that the saver’s match and other parts of Secure 2.0 are “certainly going to influence the entire landscape going forward,” VanDerhei said.  

“It’s a given that, if the 2017 tax modifications are going to be salvaged in 2025, a number of retirement situations will come into play as far as taking looks at things like mandatory Rothification,” he said. “This is something that’s already been put in place and is going to be perceived by many as being a big help in terms of some of the retirement gaps going forward.”

What the study found

The current saver’s credit has reached fewer than 6% of filers due to design shortcomings like the requirement that they have an income-tax liability and a lack of knowledge among eligible savers, Morningstar’s report said. The researchers found “reasons to believe that the saver’s match will be more effective than the saver’s credit,” including the facts that savers will no longer be obligated to have federal income tax liability, that the money “will be directly deposited into their retirement accounts — a more tangible benefit that could encourage greater participation,” and that the law instructs agencies such as the Treasury Department to promote it, they wrote. 

“That said, the success of the saver’s match will largely depend on how effectively it is implemented,” Look and VanDerhei wrote. “To maximize impact, the government and retirement industry should reduce barriers and minimize savings friction wherever possible, within limits. Clear and accessible communication and education — including an awareness campaign — are also critical to ensure qualified individuals understand and use the program effectively.”

READ MORE: Secure 2.0 created emergency accounts. Will 401(k) plans use them?

The maximum match of $1,000 on top of the first $2,000 in retirement savings each year will go to taxpayers with modified adjusted gross income of $20,500 or less as individuals, $30,750 or lower for heads of households and as much as $41,000 among couples. For those with higher modified adjusted gross income, the matching contributions phase out at respective levels of $35,500, $53,250 and $71,000. Among millennials and Gen Z savers, roughly 49% of Hispanic households, 44% of Black Americans, 29% of white taxpayers and 26% of other racial and ethnic groups will qualify for some level of matching contributions. 

Using census data on those generations in terms of gender, marriage status and race and a simulation model called the “Morningstar Model of U.S. Retirement Outcomes,” Look and VanDerhei predicted that single women’s wealth at retirement could jump 13%, that of Black savers could grow 15% and Hispanic households could surge by 12%. Those figures assume that they get the highest matching contribution in 2027 and retire when they’re 65 years old, and that the program spurs more people to open retirement accounts and save more in order to take advantage. But even without behavioral changes, the saver’s match could boost the generations’ retirement nest eggs by 8%.

“When looking at the results from different demographic perspectives, we found that single women, non-Hispanic Black Americans and Hispanic Americans see greater benefits compared with other groups,” Look and VanDerhei wrote. “Moreover, our results show that workers in industries with a higher risk of running short of money in retirement are projected to experience a more significant increase in their retirement wealth under the new program.”

Help needed

The match necessitates “buy-in from everyone” across employees, employers, advisors, recordkeepers and governments, plus ample financial wellness education, according to Pam Hess, the executive director of the Defined Contribution Institutional Investment Association’s Retirement Research Center, which has worked on prior research about the potential impact of the saver’s match as part of a joint effort with the Morningstar center and the Aspen Institute Financial Security Program called the Collaborative for Equitable Retirement Savings. In addition, the findings of the latest study explain why more employers are considering how they could provide emergency savings, paycheck advances or low-interest loans, she said.

“Peoiple need help meeting their short-term financial struggles,” Hess said. “Employers are coming up with other solutions to help their workforce. You put those together with the saver’s match, and it could be really meaningful.”

READ MORE: 401(k) fees are lower but still hard to understand. Planners can help

Until the policy starts in 2027, advisors could get a head start by trying to increase the number of households using the existing credit, according to Catherine Collinson, CEO and president of the nonprofit Transamerica Institute and its division Transamerica Center for Retirement Studies, which found in a survey earlier this month that only 51% of workers are aware of the saver’s credit. The match “essentially reimagines and replaces and takes the saver’s credit to the next level, and the saver’s credit is available right now,” she said.

“Most people don’t wake up in the morning thinking about taxes everyday, unless it’s April 14 — the day before everything is due,” Collinson said, noting that many people also push back on the idea that they are among the “low-to-moderate income retirement savers” eligible for the credit. “The general public does not relate to that messaging, so this is where it’s so critical for financial advisors who can help to get the word out.”

More ways to get involved

On the other side of the equation, the sponsors and recordkeepers could use a nudge from the advisors to ensure they’re giving the employees the means to get the biggest match “systematically, in a way that is doable and viable,” Hess said. Right now, many employers simply don’t “have all the information they need to know who’s eligible and who’s not,” based on their modified adjusted gross income, she noted. 

“We know that engaging employees is really hard — getting that connection is increasingly hard in a noisy world,” Hess said. “First you have to figure out who qualifies, and then you have to get the dollars from the government into that account, which is not a connection that’s in place today.”

Advisors’ expertise could overcome some further barriers to participation based on the continuing problems that “there’s still a major trust issue going on any time the government gets involved” and some people may not understand how to open an IRA, VanDerhei said. They’ll also be able to point out that the match would benefit “a lot of people” to a certain extent, so it’s not just for those of the lowest means, Look said.

“Pro bono work, volunteering to help educate and talk through with people in the community who may be eligible is very, very important,” he said.

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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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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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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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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