Smart Credit Building and Saving for a Secure Retirement
Understand the implications of adding authorized users to credit cards, and how to plan retirement so your money lasts.
01:40 Today’s first Money Question: A listener asks whether it’s a good idea to help a friend or family member build credit by adding them as an authorized user on your credit card. Credit expert Bev O’Shea joins Sean Pyles and Liz Weston to discuss the risks and benefits of adding authorized users, including the impact it can have on a person’s credit profile, the conditions under which it might be unfavorable and how many people a credit card holder can add as authorized users.
13:35 Today’s second Money Question: Sean and Liz turn their attention to the complex world of retirement planning. They discuss methods for evaluating whether you've saved enough for retirement, common pitfalls to avoid and why it's key to consult with a fee-only financial planner. The discussion digs deep into critical decisions around Medicare and Social Security and how to manage them effectively, how to ensure your retirement funds last and the impact of inflation on retirement plans.
In their conversation, the Nerds discuss: credit card authorized users; credit management; credit profiles; financial planners; retirement planning; Medicare; Social Security; retirement funds; inflation; health insurance; filing bankruptcy; and retirement savings.
Please take our listener survey at https://nerdwallet.com/survey to help us improve the show! Survey participants will be automatically entered into our Smart Money Podcast Sweepstakes for a chance to win a $100 Amazon gift card when you complete and submit the survey form. The Sweepstakes period is from June 19, 2023 to August 7, 2023. Limit One (1) Entry per person. No purchase necessary to enter or win. Odds of winning will be determined by the number of eligible entries received. Read the Official Rules for more details.
If you enjoyed today’s episode, then please vote for us in the 18th Annual People's Choice Podcast Awards! Register at https://podcastawards.com and find “NerdWallet’s Smart Money Podcast” in the Business category. Voting in other categories is optional. We appreciate it!
To send the Nerds your money questions, call or text the Nerd hotline at 901-730-6373 or email podcast@nerdwallet.com.
Like what you hear? Please leave us a review and tell a friend.
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.