Swing-state voters are open to several ideas to keep Social Security benefits flowing for decades — as long as it’s the wealthy footing the bill, according to the latest Bloomberg News/Morning Consult poll.
An overwhelming 77% of registered voters in the seven states that will decide the 2024 presidential election like the idea of a billionaires tax to bolster Social Security shortfalls, the poll found. More than half say they approve of trimming benefits for high-earners, and for taxing wages for Social Security beyond the first $168,600 in earnings as done under current policy.
The poll was conducted among registered voters in Arizona, Georgia, Michigan, Nevada, North Carolina, Pennsylvania and Wisconsin between April 8-15.
A voter fills out a ballot at polling location in North Carolina.
Sean Rayford/Photographer: Sean Rayford/Getty
Across-the-board changes — raising the retirement age to 69 from 67 or introducing a new formula that results in less generous benefit payments — were less popular. Around one-fourth of poll respondents supported those policies, while about a third support increasing payroll taxes.
The poll demonstrates the difficult task Congress will face in the coming years as it grapples with how to shore up the social safety net program for aging Americans. The Congressional Budget Office estimates that starting in 2034 Social Security recipients will only receive about 75% of their promised payments if lawmakers don’t act.
“A lot of people want the government to take action, but they’re not really sure how,” Matt Monday, a senior manager for Morning Consult, said in an interview. “But the things that they do feel sure about is that someone else should do it,” he said, pointing to the wide popularity of the billionaires tax.
President Joe Biden’s billionaires tax would place a 25% levy on households worth more than $100 million. The plan taxes accumulated wealth, so it ends up hitting money that often goes untaxed under current laws. The president has also proposed higher payroll taxes on those making more than $400,000 as a way to strengthen the Social Security trust fund. Conversations in Washington about large-scale plans to find new ways to fund Social Security have become more pressing with projections showing the program is becoming increasingly unsustainable. But changes to Social Security are politically risky because older Americans, who are directly benefiting from the payments, are an important voting bloc for both parties.
Benefit programs for elderly Americans are one of voters’ top priorities in November — only the economy, immigration, abortion and protecting democracy were chosen more often when respondents were asked what single issue was most important to their voting decision.
The poll also found that swing state voters trust Biden more than Republican presumptive nominee Donald Trump to preserve Social Security and Medicare, with 45% trusting Biden and 39% trusting Trump.
Trump has not articulated a clear vision for the benefit programs. His campaign website says he will “always protect” Social Security without providing details. In a March interview, he said “there is a lot you can do in terms of entitlements in terms of cutting,” but later walked back that statement, saying he would never do anything to “jeopardize or hurt” the payments for older people.
Republicans in Congress have proposed raising the retirement age and using a new cost of living adjustment metric that would result in lower payments over time. Nikki Haley, who challenged Trump for the GOP presidential nomination, proposed scaling back Social Security benefits for future generations and higher income retirees.
Methodology
The Bloomberg News/Morning Consult poll surveyed 4,969 registered voters in seven swing states: 801 registered voters in Arizona, 802 in Georgia, 708 in Michigan, 450 in Nevada, 703 in North Carolina, 803 in Pennsylvania and 702 in Wisconsin. The surveys were conducted online from April 8-15. The aggregated data across the seven swing states were weighted to approximate a target sample of swing-state registered voters based on gender, age, race/ethnicity, marital status, home ownership, 2020 presidential vote and state. State-level data were weighted to approximate a target sample of registered voters in the respective state based on gender, age, race/ethnicity, marital status, home ownership, and 2020 presidential vote. The margin of error is plus or minus 1 percentage point across the seven states; 3 percentage points in Arizona, Georgia and Pennsylvania; 4 percentage points in Michigan, North Carolina, and Wisconsin, and 5 percentage points in Nevada.
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.
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.
Corporate tax accounting departments are navigating an era of unprecedented regulatory complexity as global tax harmonization frameworks take full effect alongside real-time digital tax reporting mandates. Tax directors and accounting teams are adopting cloud-based tax compliance automation tools to manage multi-jurisdictional tax liabilities and satisfy stringent reporting rules across international jurisdictions.
Implementation of Global Minimum Tax Provisions
The implementation of international tax reform agreements—notably the Pillar Two global minimum tax framework—has reshaped multinational corporate tax planning. Multinational enterprises with consolidated revenues exceeding established thresholds must ensure an effective tax rate of at least 15% across every jurisdiction in which they operate.
Accounting teams are implementing specialized tax calculation modules integrated directly into enterprise resource planning (ERP) platforms. These automated tools calculate effective tax rates per country, identify top-up tax liabilities, and generate standardized compliance documentation required by national tax authorities.
Real-Time Digital Invoicing and E-Reporting Mandates
Tax authorities across Europe, Latin America, and Asia-Pacific have enacted mandatory electronic invoicing (e-invoicing) and continuous transaction controls (CTC). Under these systems, corporate transaction data must be submitted electronically to government portals in real time at the point of sale or invoice issuance.
This shift toward continuous digital tax reporting eliminates traditional annual tax audits in favor of ongoing automated compliance monitoring. Accounting departments are upgrading invoicing software to ensure seamless XML data formatting, digital signature authentication, and real-time validation against tax authority databases.
Automation and Data Analytics in Corporate Tax Strategy
To keep pace with dynamic tax legislation, tax departments are transitioning from reactive compliance teams to proactive strategic advisors. Machine learning algorithms analyze corporate transactional data to identify tax credits, research and development (R&D) incentives, and cross-border transfer pricing adjustments.
By automating routine tax return filings and calculations, corporate tax directors can focus on long-term capital structuring, evaluating the tax implications of corporate mergers, and optimizing international supply chain networks.
Strategic Priorities for Tax Executives
1. ERP System Upgrades: Ensure enterprise software is capable of generating real-time, granular tax data required for global minimum tax compliance.
2. E-Invoicing Integration: Implement scalable e-invoicing platforms to satisfy regional continuous transaction control regulations.
3. Strategic Tax Analytics: Utilize predictive tax modeling tools to evaluate structural changes in corporate operations and cross-border trade.