The 2026 EBRI/Greenwald Retirement Confidence Survey (RCS), the 36th annual assessment of American workers’ and retirees’ financial outlook, reveals a significant decline in retirement confidence across both demographics. Conducted jointly by the Employee Benefit Research Institute (EBRI) and Greenwald Research in January 2026, the survey underscores mounting financial pressures, a growing desire for accessible guidance, and a readiness for technology-driven solutions. For senior marketing and customer experience (CX) leaders, these findings highlight critical shifts in consumer sentiment and behavior, necessitating a re-evaluation of product development, communication strategies, and digital engagement models to address immediate concerns and long-term planning gaps.
Eroding Confidence and Mounting Financial Pressures
American workers and retirees are experiencing a notable decline in retirement confidence, driven by economic uncertainties and persistent financial challenges. Only 58% of workers and 71% of retirees express confidence in having enough money for a comfortable retirement, marking a decrease from the previous year for both groups. A quarter of less confident workers specifically cite inflation and the cost of living as primary concerns. This financial anxiety is further exacerbated by debt, which is problematic for 65% of workers and 40% of retirees. Critically, debt negatively impacts the ability to save for retirement for 58% of workers (up from 49% in 2025) and 29% of retirees (up from 24% in 2025). Adding to this unease, 78% of workers and 69% of retirees are concerned about potential government changes to the retirement system. Retiree confidence in both Social Security benefits (60% confident) and Medicare benefits (62% confident) has also fallen from 2025 levels.
What this means: Enterprises must acknowledge and directly address these pervasive anxieties. Generic messaging about financial well-being is insufficient. Targeted programs that address specific pain points such as inflation, cost of living, and debt management will resonate more effectively.
What to do:
- Tailored Financial Wellness Programs: Financial services firms should offer debt consolidation tools, personalized budgeting advice, or inflation-hedging investment strategies within their digital platforms. For instance, a bank’s mobile app could integrate a “cost of living impact” calculator on retirement savings.
- Benefit Communication Clarity: HR technology providers and benefits administrators should provide transparent communication about employer-sponsored retirement plans both as well as supplemental health options. This clarity can mitigate uncertainty surrounding broader government benefits.
- Flexible Product Design: Retail or e-commerce companies offering loyalty programs or subscription services could explore features that allow for greater payment flexibility or integrated savings accumulation, linking everyday spending to future financial goals.
What to avoid:
- Generic Messaging: Do not rely on broad statements about financial well-being that fail to address the specific economic stressors identified in the survey.
- Ignoring Debt: Avoid product strategies that focus solely on investment growth without integrating solutions for managing or reducing consumer debt, as this overlooks a core barrier to retirement readiness.
Summary: Direct engagement with customer financial anxiety through tailored solutions and transparent communication is critical for building trust and relevance.
Navigating Unplanned Retirement and Evolving Expectations
The survey highlights a significant divergence between expected and actual retirement experiences, pointing to an unpredictable landscape. While workers’ median expected retirement age remains 65, retirees report a median actual retirement age of 62, with three in five retirees indicating they retired earlier than 65. Nearly half of retirees (48% in 2026, up from 40% in 2025) retired earlier than planned, with the top reason being a health problem or disability (41%, an increase from 31% in 2025). Concurrently, 16% of workers now report they do not plan to retire at all (an increase from 2025), and a quarter adjusted their target retirement age to a later point.
What this means: Traditional linear models of retirement planning are insufficient. Enterprises must develop solutions that support dynamic, potentially health-interrupted, and phased transitions into retirement, acknowledging that many individuals will either retire earlier due to unforeseen circumstances or work longer.
Operating model and roles:
- Product Development for Flexibility: Financial institutions should design retirement income products with embedded flexibility, allowing for phased withdrawals or providing accessible liquidity for unforeseen health events. An example could be hybrid annuity products that integrate long-term care riders.
- Integrated Health and Financial Services: Healthcare providers and insurers can form partnerships with financial advisors or retirement planning platforms to offer holistic pre-retirement planning. These integrated services should factor in both projected medical costs and anticipated income stability.
- B2B SaaS for Workforce Planning: Technology solutions for employers that facilitate managing an aging workforce, offer flexible work arrangements, or support re-skilling programs for “un-retirement” scenarios are increasingly essential. These systems could help track employee health data (with consent) to anticipate early retirement risks.
What ‘good’ looks like:
- Proactive Engagement: Implement systems to identify customer segments approaching typical retirement age and offer resources for both planned and unplanned scenarios. This includes planning for health events as well as early retirement options.
- Clear Policy Frameworks: For enterprise clients managing their workforce, establish transparent policies that outline options for phased retirement, sabbaticals, or transitions to part-time roles. These frameworks should be communicated clearly to employees.
Immediate priorities (first 90 days):
- Segmentation Review: Analyze existing customer segmentation to identify cohorts with a high likelihood of experiencing unplanned retirement events.
- Product Portfolio Audit: Evaluate current product and service offerings for their adaptability to early or phased retirement needs, identifying gaps or areas for enhancement.
Summary: Adaptive solutions are necessary to support customers through an unpredictable retirement landscape, emphasizing flexibility, integrated services, and proactive planning.
The Imperative for Accessible Guidance and Digital Solutions
A significant guidance gap exists in retirement planning, with 43% of workers and 25% of retirees reporting they do not know where to seek financial or retirement planning advice. This gap coincides with a growing embrace of technology for financial management. Nearly half of workers (48%) both as well as 28% of retirees believe technology or AI will assist in managing their finances in the future. The use of AI tools such as ChatGPT as an information source has significantly increased, rising to 18% for workers (up from 11% in 2025) and 4% for retirees (up from 1% in 2025). This trend occurs even as traditional financial advisor usage by retirees has seen a notable decline. Furthermore, while 84% of workers are interested in guaranteed monthly income products, and 66% in a Social Security “bridge annuity,” only 36% of retirees actually utilize such products.
What this means: This environment presents a significant opportunity for enterprises to leverage digital channels and AI to democratize financial guidance and bridge the gap between interest and adoption for critical retirement products.
Governance and risk controls:
- AI Integration and Governance: Implement AI tools, such as chatbots or personalized financial planning dashboards, with clear ethical guidelines and robust data privacy policies (e.g., GDPR, CCPA compliance). All AI-generated advice must be verified and clearly attributed to the system or source. Establish red-teaming protocols for AI models.
- Data Readiness and Integration: Ensure CRM, billing, and investment platforms are fully integrated to provide a holistic customer view. This integration enables AI-driven insights and personalized recommendations. Establish service level agreements (SLAs) for data synchronization (e.g., daily data refresh, 99.9% uptime for API integrations).
- Consent Management: Implement explicit consent processes for data sharing with AI tools and for providing personalized financial advice. Customers must understand how their data is used and have control over it.
Metrics:
- Digital Engagement: Aim for a 15% quarter-over-quarter growth in active users engaging with digital financial planning tools.
- Customer Satisfaction (CSAT/NPS): Improve CSAT scores for digital advice channels to a target of 75% or higher, and increase Net Promoter Score (NPS) for clients utilizing AI-supported planning by at least 5 points year-over-year.
- Conversion Rates: Track the conversion rate from expressed interest in guaranteed income products to actual enrollment, targeting a 10% increase year-over-year.
- Complaint Rate: Monitor AI-related complaint rates, maintaining a target of below 0.5% of interactions, with clear escalation paths (e.g., RAG status for critical issues).
What to do:
- Develop AI-Powered Financial Tools: Invest in AI-driven platforms that provide personalized financial projections, debt management advice, and retirement readiness assessments. These tools must be intuitive and accessible across all digital channels.
- Clarify Guaranteed Income Options: Simplify the communication surrounding annuities and bridge products. Utilize clear, direct language and scenario-based examples to illustrate their value, explicitly linking product features to desired customer outcomes (e.g., “predictable monthly income of $X”).
- Hybrid Advice Models: Offer a combination of digital tools and human advisor support. This approach allows customers to leverage self-service for routine tasks while providing seamless escalation paths to human experts for complex inquiries or reassurance.
What to avoid:
- Over-reliance on Containment: Do not prioritize AI-driven self-service solely for cost reduction if it negatively impacts customer confidence or leads to unresolved issues. Ensure human advisor escalation paths are always readily available and efficient.
- Opaque AI Practices: Avoid deploying AI solutions without clear explanations of their functionality, the data they use, and their inherent limitations. Trust is paramount in financial advice; transparency is key.
Summary: Investing in accessible digital tools and clear product communication, supported by robust governance, is essential to meet the growing demand for financial guidance and drive adoption of effective retirement solutions.
Summary
The 2026 EBRI/Greenwald Retirement Confidence Survey presents a clear mandate for enterprise leaders: adapt to a future where financial confidence is fragile, retirement pathways are unpredictable, and digital guidance is increasingly expected. CX and marketing strategies must evolve to offer proactive, empathetic, and technologically informed support. By prioritizing data-driven insights, transparent communication, and robust governance for AI and digital tools, enterprises can build trust, enhance financial well-being, and effectively serve the evolving needs of workers and retirees navigating their financial futures.
