Half of older Americans are rethinking their retirement status: survey

Didier Malagies • July 18, 2024


Survey data released Wednesday by F&G Annuities & Life Inc. shows that economic realities and other considerations are driving Americans to either delay or come out of retirement.


F&G’s newly released Retirement Reconsidered survey, which was conducted in May across a sample of 2,048 respondents ages 50 and older, found that 51% of this cohort are thinking of reentering the workforce or pushing back their retirement plans.


Despite some recent economic headwinds in the form of stock market growth and ebbing inflation, the majority of pre-retirees surveyed report feelings of anxiety. Sixty-eight percent of the respondents who have yet to retire say they have already pushed back their plans or are considering it, up from 64% last year.


This trend is even more pronounced among Generation X respondents (ages 50-59), with 71% of this group having already delayed or thinking of delaying their retirement date, up from 65% last year. Half of the Gen X cohort said that if they came out of retirement, they would be more likely to work in a different industry.

“As Gen Xers near retirement, our study shows that their worries are heightened,” John Currier, president of F&G, said in a statement. “Having the right advice and financial tools can help alleviate these concerns, including engaging with a financial professional and considering products like fixed indexed annuities (FIAs) and registered index-linked annuities (RILAs) that can provide a mix of upside potential and downside protection.”


Inflation was the most common reason for a potential or actual change of course, cited by 49% of pre-retirees and 44% of retirees.


“This remains a challenging macroeconomic environment to navigate for those close to or in retirement,” said Chris Blunt, CEO of F&G. “As our survey shows, Americans are still reconsidering what retirement means to them, and that may look different from previous generations.


“We believe taking a proactive approach in financial planning can help mitigate some of the economic risks, allowing people to focus on their own personalized roadmap of how and when to retire.”


Notably, however, economic factors are not the only issues at play. One-third of respondents who have delayed or are thinking of delaying retirement said they’re doing so “because they love what they do for work.” Among those who have already retired, 45% said they would consider changing course because “they enjoy the challenge from working.”


Seven in 10 individuals who have changed course or are contemplating it have sought advice. But spouses were the most common source of advice among this group and only 16% discussed their plans with a professional financial adviser.


Reverse mortgage professionals may also need to be part of the conversation. In May, Finance of America executive Steve Resch told HousingWire‘s Reverse Mortgage Daily that financial planners are becoming more receptive to the concept of reverse mortgages. One reason for that is the need to manage long-term care expenses for their clients — costs that can be influenced by inflation.



“The clients are very hesitant to pay for an insurance solution, which can be very expensive — we could be talking $10,000 to $15,000 per year for an insurance solution,” Resch said.



Have A Question?

Use the form below and we will give your our expert answers!

Reverse Mortgage Ask A Question

Start Your Loan with DDA today
Your local Mortgage Broker

Mortgage Broker Largo
See our Reviews

Looking for more details? Listen to our extended podcast! 

Check out our other helpful videos to learn more about credit and residential mortgages.

Now offering a 3rd Mortgage

By Didier Malagies • October 6, 2025
A third mortgage is an additional loan secured by the same property after a first and second mortgage already exist. It’s essentially a third lien on the property, which means it’s in third place to be repaid if the borrower defaults — making it riskier for lenders. Because of this higher risk, third mortgages typically: Have higher interest rates, Offer smaller loan amounts, and Require strong borrower profiles or solid property equity. 🤖 How AI Is Transforming 3rd Mortgage Lending AI tools can make offering third mortgages much more efficient and lower-risk by handling the data-heavy analysis that used to take underwriters days. Here’s how: 1. AI-Powered Lead Generation AI platforms identify homeowners with significant equity but limited cash flow — ideal candidates for third liens. Example: AI scans property databases, loan records, and credit profiles to spot someone with 60–70% total combined LTV (Loan-to-Value). The system targets those borrowers automatically with personalized financing offers. 2. Smart Underwriting AI underwriters use advanced algorithms to evaluate: Combined LTV across all liens, Income stability and payment history, Real-time credit behavior, Local property value trends. This allows the lender to make quick, data-backed decisions on small, higher-risk loans while keeping default rates low. 3. Dynamic Pricing AI adjusts rates and terms based on real-time risk scoring — similar to how insurance companies use predictive pricing. For example: Borrower A with 65% CLTV might get 10% APR. Borrower B with 85% CLTV might see 13% APR. 4. Automated Servicing and Risk Monitoring Post-funding, AI tools can monitor the borrower’s financial health, detect early signs of distress, and even suggest restructuring options before default risk rises. 💡 Why It’s Appealing Opens a new revenue stream for lenders and brokers, Meets demand for smaller equity-tap loans without refinancing, Uses AI automation to keep costs low despite higher credit risk, Attracts tech-savvy borrowers seeking quick approvals. tune in and learn https://www.ddamortgage.com/blog didier malagies nmls#212566 dda mortgage nmls#324329

Always look at the 10 year treasury

By Didier Malagies • September 29, 2025
Great question — the 10-year U.S. Treasury Note (T-Note) is one of the most important benchmarks in finance, and it’s tightly linked to interest rates. Here’s a breakdown of how it works and why it matters: 1. What the 10-Year Treasury Is It’s a bond issued by the U.S. government with a maturity of 10 years. Investors buy it, loaning money to the government in exchange for: Semiannual coupon payments (interest), and The face value back at maturity. Because it’s backed by the U.S. government, it’s considered one of the safest investments in the world. 2. Yield vs. Price The yield is the effective return investors earn on the bond. The yield moves inversely with the bond’s price: If demand is high and price goes up → yield goes down. If demand falls and price goes down → yield goes up. 3. Connection to Interest Rates The 10-year Treasury yield reflects investor expectations about: Future Federal Reserve policy (Fed funds rate). Inflation (higher inflation expectations push yields higher). Economic growth (slower growth often pushes yields lower). While the Fed directly controls only the short-term Fed funds rate, the 10-year yield is market-driven and often moves in anticipation of where the Fed will go. 4. Why It’s So Important Mortgage rates & lending costs: 30-year mortgage rates generally move in step with the 10-year yield (plus a spread). If the 10-year goes up, mortgage rates usually rise. Benchmark for global finance: Companies, governments, and banks often price loans and bonds based on the 10-year yield. Risk sentiment: Investors flock to Treasuries in times of uncertainty, driving yields down (“flight to safety”). 5. Practical Example Suppose the Fed raises short-term rates to fight inflation. Investors expect tighter policy and possibly lower inflation later. If they believe inflation will fall, demand for 10-years might rise → yields drop. But if they fear inflation will stay high, demand falls → yields rise. Mortgage rates, business loans, and even stock valuations all adjust accordingly. ✅ In short: The 10-year Treasury is the bridge between Fed policy and real-world borrowing costs. It signals market expectations for growth, inflation, and Fed moves, making it a crucial guide for interest rates across the economy. tune in and learn https://www.ddamortgage.com/blog didier malagies nmls#212566 dda mortgage nmls#324329 

AI underwriting to human underwriting and this is what happened

By Didier Malagies • September 24, 2025
Speed & Efficiency AI Underwriting: Processes applications in seconds to minutes. 1.Can instantly pull data from multiple sources (credit reports, bank statements, income verification, property valuations, etc.). Ideal for high-volume, standardized cases. Human Underwriter: Takes hours to days, depending on complexity. Manually reviews documents, contacts third parties, and applies professional judgment. Slower, especially for complex or edge cases. 2. Data Handling AI: Uses algorithms and machine learning to analyze massive datasets. Can detect patterns humans might miss (e.g., spending behavior, alternative data like utility payments, even digital footprints in some markets). Human: Relies on traditional documentation (pay stubs, tax returns, appraisals). Limited by human bandwidth—can’t process as much raw data at once. 3. Consistency & Bias AI: Decisions are consistent with its rules and training data. However, if the data it’s trained on is biased, the system can replicate or even amplify those biases. Human: Brings subjective judgment. Can weigh special circumstances that don’t fit a neat rule. Risk of inconsistency—two underwriters might interpret the same file differently. May have unconscious bias, but also flexibility to override rigid criteria. 4. Risk Assessment AI: Excels at quantifiable risks (credit scores, loan-to-value ratios, historical claim data). Weak at unstructured or nuanced factors (e.g., a borrower with an unusual income stream, or a claim with unclear circumstances). Human: Strong at contextual judgment—understanding unique borrower situations, exceptions, or “gray areas.” Can pick up on red flags that an algorithm might miss (e.g., forged documents, conflicting information). 5. Regulation & Accountability AI: Regulators are still catching up. Requires transparency in decision-making (explainable AI). Hard to appeal an AI decision if it can’t explain its reasoning clearly. Human: Provides a clear chain of accountability—borrower can request explanations or escalate. Easier for compliance teams to audit decision-making. 6. Cost & Scalability AI: Scales cheaply—one system can process thousands of applications simultaneously. Lower ongoing labor costs once implemented. Human: Labor-intensive, costs grow with volume. Better suited for complex, high-value, or unusual cases rather than mass processing. ✅ Bottom line: AI underwriting is best for speed, scale, and straightforward cases. Human underwriters are best for nuanced judgment, exceptions, and handling edge cases. Most modern institutions use a hybrid model: AI handles the bulk of simple files, while humans step in for complex or flagged cases. tune in and learn https://www.ddamortgage.com/blog didier malagies nmls#212566 dda mortgage nmls#324329
Show More