Financial Planning Tools and Trends | by Jules Buxbaum | Thursday, February 13, 2025
How AI is Changing Retirement Planning in 2025 is the new frontier for retirees, business owners, and financial advisors looking for smarter and more adaptive strategies. With advanced algorithms analyzing massive datasets, AI is empowering people to get better outcomes than ever before.
Retirees have distinct goals, and the ability to customize a retirement plan can matter as much as selecting the right portfolio. By incorporating AI solutions into their services, many advisors now offer deeper analysis and guidance, including AI-driven client lead generation and retention.
Recent forecasts show rapid adoption of artificial intelligence in retirement services. According to a late-2024 industry survey, 91% of investment managers either use AI or plan to bring it into their asset analysis and portfolio strategy process.
This surge is driven partly by AI’s ability to adjust retirement projections in near real time. Rather than reviewing your plan once a year, AI systems can update when markets move, personal income changes, or new investment vehicles appear.
Financial professionals anticipate a jump in the personalization of in-plan retirement solutions. For instance, a 2025 report from major plan sponsors noted that usage of AI-powered managed accounts in 401(k)s increased participant savings rates by 7% within the first month of receiving tailored advice.
Although AI streamlines tasks like portfolio rebalancing and risk assessments, human oversight is still key. People often seek the emotional support and creativity that a strictly algorithmic platform can’t replicate, so hybrid service models blend AI insights with an advisor’s practical expertise.
Robo-advisors have evolved far beyond basic portfolio allocation. Today’s AI-enhanced advisors analyze spending habits, forecast healthcare costs, and project tax rates on a customized level.
These platforms can offer incremental “nudges” to increase contributions or refine asset mixes before a market swing. Many also address how volatility, inflation, and other factors can chip away at expected retirement income, a topic further explained in our inflation risk overview.
The biggest advantage is speed. If signs of a market correction appear, AI-driven systems act quickly, whether by rebalancing or shifting certain allocations to preserve capital. A typical human advisor appointment might not occur for weeks or months.
Still, technology isn’t infallible. Algorithms can miss unanticipated market shocks or major policy changes, reinforcing why a collaborative approach—blending AI’s processing power with hands-on advice—often provides the best results.
Traditional wisdom says that people should hold fewer equities as they grow older, often by following a rigid glide path that steadily cuts market exposure. However, AI-based models challenge this idea by looking at future earnings versus current wealth, not just chronological age.
If someone has substantial future earning potential, they might handle bigger short-term fluctuations, even beyond 60 or 65. Conversely, a younger individual with minimal future income prospects might need a more balanced or conservative stance today.
AI engines assess how long you expect to work, possible salary changes, desired retirement age, and other variables in real time. This perspective questions generic glide paths and encourages a personalized approach. To learn more about alternatives to these target-date funds, visit our article on the hidden risks of target-date funds.
By focusing on cash-flow patterns and the equity risk premium that has persisted for decades, advanced algorithms can point to more growth-oriented allocations than many mainstream methods might suggest. This strategy aims to prevent individuals from running out of funds decades into retirement just because they cut back on risk too early.
At 2Pi Financial, we integrate AI with a belief in higher equity allocations—particularly for those whose future income might not cover longer retirements. Our platform weighs personal wealth, earning potential, and overall comfort with market volatility to deliver truly customized suggestions.
A key part of our method is our proprietary tool, Two Pi’s Financial Planning Engine. This resource prompts you to enter details like your planned retirement age, current savings, and personal expectations, then generates insights on withdrawal probabilities and suggested portfolio mixes. If you adjust a factor—like your target retirement age—our AI immediately re-simulates the likelihood of your plan lasting as long as you need.
Unlike simplified frameworks that rely mostly on age, we weigh future earnings and spending goals to decide when it might be reasonable to take on more market exposure. This thinking stems from research on how the equity risk premium remains robust over time and may serve the majority of retirees better than a highly conservative route.
We also recognize that no single formula covers everyone’s situation perfectly. Behavioral differences, changing life circumstances, and potential health costs all come into play. Our AI approach evolves as your data changes, creating a living plan that adjusts with your reality.
Traditional calculators often consider just salary, age, and maybe a desired retirement timeframe. Modern AI solutions take these inputs further, incorporating factors like yearly tax bracket shifts, local cost of living, and even the possibility of part-time work in later years.
In practice, this means shorter feedback loops. If your salary rises or you relocate to a more tax-friendly state, updated suggestions appear almost immediately. AI’s processing volume empowers you to weigh thousands of potential outcomes without sorting through multiple spreadsheets or manual steps.
Increasingly, these solutions also tackle healthcare projections. According to a 2024 study by HealthView Services, AI-powered tools that consider long-term health data were 25% more accurate in projecting lifetime medical expenses than older methods. For many retirees, that extra precision can ward off unexpected costs.
One of AI’s biggest advantages is identifying gaps in your strategy that you might not have noticed. You may spot an asset allocation mismatch, an overly cautious contribution rate, or a missed tactic to reduce taxes on retirement income.
Another benefit is automatically optimizing withdrawal sequences. AI examines possible scenarios to figure out which accounts to tap first, how to spread distributions across Roth and Traditional IRAs, or whether additional steps—like partial annuitization—might help. These tech-driven adjustments can spare people from significant tax hits.
Some automated platforms also send alerts about lifestyle changes affecting you. For instance, if your pay rises, the AI might suggest boosting your monthly savings enough to close any shortfall by your target retirement date. That kind of immediate insight is a sharp contrast to once-a-year reviews.
AI is bringing a more personalized, data-focused approach to retirement planning. Real-time calculations, risk modeling based on future earnings, and the ability to predict healthcare or tax costs are fueling smarter decisions.
Still, technology doesn’t eliminate the need for human judgment. Checking for common mistakes or unusual life events remains critical to any long-term strategy. With the right balance, AI-driven retirement planning can give you a powerful edge in achieving your future goals.
1. HealthView Services. (2024). “Healthcare Cost Projections in AI-Driven Retirement Tools.” Available at: https://www.healthviewservices.com
2. Mercer. (2024). “Chasing Brighter Futures: AI and Retirement Plans.” Available at: https://www.mercer.com/insights/investments/market-outlook-and-trends/chasing-brighter-futures-ai-and-retirement-plans