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The Mel Robbins Podcast

How to Use AI to Make Money, Save Time, and Be More Productive

with Allie K. Miller

Published November 6, 2025
View Show Notes

About This Episode

Mel Robbins interviews AI expert Allie K. Miller about how everyday people can practically use artificial intelligence to save time, make money, and improve their lives. Allie explains what AI and generative AI are in simple terms, outlines four main ways to interact with AI tools, and shares concrete examples from travel planning and cooking to job searches and caregiving. They also address risks and concerns such as hallucinations, job loss, over-reliance, data privacy, and environmental impact, while emphasizing that learning to use AI now is crucial, especially for women and knowledge workers.

Topics Covered

Artificial intelligence Personal development Career transitions Entrepreneurship Leadership and management Mental health Meta-learning Caregiving

Disclaimer: We provide independent summaries of podcasts and are not affiliated with or endorsed in any way by any podcast or creator. All podcast names and content are the property of their respective owners. The views and opinions expressed within the podcasts belong solely to the original hosts and guests and do not reflect the views or positions of Summapod.

Quick Takeaways

  • AI is already embedded in everyday tools, and learning to use it now can dramatically increase your productivity, earning potential, and options.
  • Most people underuse AI because they give it almost no context; the more detail you provide, the more useful and tailored its help becomes.
  • You can interact with AI in four main modes: microtasks, real-time companion, delegated 20-minute tasks (agents), and as a teammate for your whole group or company.
  • AI can help with deeply personal and complex situations-from caregiving logistics to reframing stressful life events-but it should be used as a coach and collaborator, not a lazy shortcut.
  • If your employer is banning AI with no plan after several years, Allie advises learning it yourself, trying to lead AI adoption internally, and seriously considering leaving if they refuse.
  • Using AI across the entire job search process-from career direction to resume optimization and interview prep-can make candidates far more effective and differentiated.
  • Over-reliance and lazy offloading to AI can dull your thinking, but using it to brainstorm, plan, and refine still demands your critical thinking and creativity.
  • Women are adopting AI significantly less than men, which Allie sees as a major missed economic and societal opportunity, and she urges women in particular to lean in.
  • AI systems still hallucinate and can be wrong, but grounding them in reliable sources and checking citations can significantly improve accuracy.
  • Allie uses AI to repeatedly reframe problems in her own life, turning obstacles into opportunities, and says this has helped rewire how she responds to stress and setbacks.

Podcast Notes

Introduction: Why AI matters for everyday life

Mel frames AI as a powerful, free tool most people misuse or ignore

Mel claims AI can save you time, help you make more money, get more done, and improve your life[0:03]
• She emphasizes that AI is free, right in front of you, and available right now, yet most people aren't using it correctly
Mel notes that AI is already present in daily life whether you notice it or not[0:59]
• She points out you cannot avoid AI because it is already embedded in many systems around you

Introducing guest Allie K. Miller and her credentials

Mel calls Allie the "AI whisperer" because she advises leading brands and is the most followed AI expert on LinkedIn[1:20]
• Allie has experience on AI teams at IBM and Amazon, and this is her podcast debut
Mel says Allie will explain AI basics simply with everyday examples and outline four different levels of AI use[1:48]
• Mel expects listeners to leave knowing how to use AI to solve problems, improve what they do, earn more, save time, and find jobs
Mel sets the tone: this conversation is meant to empower, not scare, listeners about AI[2:28]

Getting to know Allie and what AI can do for you personally

Mel welcomes new listeners and positions this episode as a key resource on AI

Mel highlights that Allie was named by Time Magazine in 2025 as one of the 100 most influential people in AI[5:37]
• She notes Allie is the number one most followed voice in AI in business and shares Allie's educational background at Dartmouth and Wharton
Allie launched the first multimodal AI team at IBM[5:59]
• Mel explains multimodal AI as systems that understand text, images, and other data together instead of one at a time
At Amazon Web Services, Allie was global head of AI for startups and venture capital[6:11]
• In that role she advised major founders, investors, and machine learning leaders around the world

Allie states how AI can change a listener's life if they apply what she shares

Allie says if you take her advice to heart, you will learn how to use AI and save time[7:36]
• She adds you will get more support in your life and work, expand your capabilities and superpowers, and be shocked at what you can do with these systems
Allie believes AI can help you become the best version of yourself[8:08]
• She says she has seen this both in her own life and in the lives of millions of people she has taught, from a 91-year-old grandmother to recent graduates

Allie's vision: using AI to improve everyday life

Allie is excited about transformational uses of AI beyond just saving time[8:37]
• She lists examples such as researching a topic you've always been interested in, developing a workout plan, or having a better relationship with your child
Allie wants people not to be held back by their environment or context, and sees AI as a way to lead the life they want[9:01]

AI basics: What AI and generative AI are and how they work

Defining AI in simple terms

Allie explains that AI as an umbrella term has been around for decades, with the term coined in the 1950s[9:52]
• She defines AI as a system attempting to do a human-like thing, such as self-driving cars, a Roomba, or a spam filter
Mel summarizes that AI can be seen as any computer system trying to do tasks humans typically do[10:34]
• Allie notes it doesn't have to work the same way a human does; what's important is that the output could plausibly have been done by a human

Defining generative AI and what is new about it

Allie describes generative AI as a subset of AI, also around for decades, but now we have high-quality generative AI that changes how we handle email, work, and businesses[10:58]
• She explains generative AI as AI that looks at large amounts of patterns, such as the whole internet or all of Wikipedia, and picks up relationships like "zebra" being associated with "black and white" and "horse" but not "penguin"
Generative AI uses pattern recognition to generate net new content rather than copying and pasting[11:44]
• Allie notes it can generate images, tweets, emails, novels, movies, blog posts and more

Concrete example: How AI could change booking a trip

Traditional vs AI-enabled flight and vacation planning

Mel describes the "old" flow: calling a travel agent, then using airline sites, then googling flights and manually filtering results[12:11]
• She notes she currently searches flights on Google, then has to pick the right flight herself from the list
Allie explains the new AI-enabled approach where you describe the whole vacation context instead of just a route[13:18]
• You could say you are a family of five wanting somewhere warm in September, considering Charleston or Savannah, prefer 3-5 days, liked Scottsdale and Texas for specific reasons, are thinking about Bermuda, and list your children's allergies and preferences
• AI can then act as a co-pilot, using that context to recommend destinations and plan the trip before you even decide on a specific city like Atlanta
Allie clarifies AI is not just using search queries but patterns in written text about similar places and activities[14:30]
• She says even if you could Google flight lists, AI can create an entire action plan around the vacation, making the process "incredibly helpful"

Emotional relief from AI handling complexity

Mel says as a mom managing many variables, the idea of feeding all concerns into AI made her feel a giant exhale[15:04]
• She notes her business already uses AI heavily, but she hasn't used it much in her day-to-day personal life
Mel observes that frequent phone app updates signal AI features being added everywhere[15:57]
• She doesn't want herself or especially women to lean back and get left behind as AI accelerates

Three categories of AI value: faster, better, and new

Using AI to do existing tasks faster

Allie says the most obvious category is productivity: doing things you're already doing, but faster[17:20]
• She gives examples like writing emails faster, writing blog posts faster, and turning existing blog posts into videos more quickly
• She notes AI can synthesize large volumes, like 10,000 pages into a paragraph in a minute

Using AI to do work better, not just faster

Allie feels many people miss the "doing things better" category[18:20]
• She says people focus on cheating on essays (which she does not recommend) instead of using AI to improve their thinking and planning
She uses AI to prepare for big engagements, such as asking it to interview her and generate 20 questions a host like Mel might ask[19:41]
• She might ask AI to list five risks she hasn't considered in a plan and ways to mitigate them, or ten ways to make something more interesting

Using AI to do entirely new things you couldn't do before

Allie describes a woman in her mahjong club who used AI to build a personal training app without knowing how to code[20:36]
• The app drills her on mahjong tiles and combinations so she can spend time bonding with club members instead of studying a notebook
Allie emphasizes that AI's accessibility lets non-coders create tools that previously required significant technical skills[21:38]
• She notes that women are adopting AI 25% less than men, which she sees as a huge missed societal and economic opportunity
Allie stresses that getting your feet wet with a few prompts can start your gears turning, especially since Mel's audience is very smart[22:19]

Mindset: starting with AI and not waiting for a perfect moment

Overcoming hesitation and perfectionism

Allie reacts to people "waiting for the right moment" to learn AI by invoking Mel's 5-4-3-2-1 countdown concept[23:31]
• She notes people wait for a nonexistent perfection in finances, meals, or parenting, and that successful people act instead of waiting
She says those winning with AI are not necessarily big risk takers but people taking small, quick wins and iterating[23:31]
• According to Allie, they build a system of adaptability by experimenting with AI rather than making one huge leap

Allie's framing: AI as a personal executive assistant

Mel likens AI to having a personal executive assistant for tasks you wish someone else could do[24:48]
• She lists examples like designing a calf-focused workout, mapping a 20-minute walking loop, or coordinating schedules

Four interaction modes with AI

Mode 1: Microtasker

Allie defines microtasker use as handling small tasks like drafting a group text or planning dinner with dietary constraints[25:59]
• She gives an example: creating a group text for 20 dinner attendees with details like two people being gluten-free and someone only liking ham

Mode 2: Real-time companion (live video and voice)

Allie describes using AI in live video chat as a companion to help make decisions in real time[26:27]
• At a board game bar with 45 minutes, she used AI video mode to scan shelves and quickly choose a suitable game instead of evaluating every box herself
Mel summarizes that this is like having a guide that can assess an environment via video[27:57]
• Allie says AI can be very good at recognizing locations, especially when integrated with maps, but she would still trust dedicated navigation apps when lost
Allie also uses real-time AI by screen-sharing while browsing Etsy to pick gifts, talking back and forth like a virtual meeting[28:36]
• She highlights using video on a fridge to have AI suggest meals and generate grocery lists from pantry and fridge photos

Personal cooking example using real-time mode

Allie admits she is a terrible cook and says her sister reframed cooking as just chopping and heating things up[29:33]
• She takes photos of her fridge and pantry, feeds them to AI, and gets recipes plus a Trader Joe's shopping list to fill in missing ingredients
• This saves her hours, money, and reduces food waste and guilt about being disorganized

Mode 3: Delegating 20-minute tasks to AI agents

Allie describes a mode where you give AI a bigger task it can work on for about 20 minutes and then return a result[36:50]
• Example: a teacher uploads years of student reviews, asks AI to research 100 chemistry lesson plan examples, and generate a spreadsheet, summary document, and powerpoint-like pamphlet
Mel emphasizes this is powerful for solopreneurs and professionals who previously had no one to delegate things like websites, apps, or marketing plans to[37:20]
• Allie says solopreneurs used to feel deserted on an island, but AI now gives them "20% of a marketing person" or "20% of a customer support person"
• She notes average people can now record a video, upload it, and automatically get 15 pre-cut, captioned clips for social media, even translated into Spanish for a second channel

Mode 4: Teammates within organizations

Allie describes AI as a teammate that can support entire teams or departments[38:52]
• She gives an example of recording all meetings and having AI send a Friday report on project status, missed tasks, and latest updates by reading documents, Google Drive, and Gmail

Common mistakes with AI and the importance of context

Biggest beginner mistake: not giving enough context

Allie says most people give AI almost no context, e.g., just "plan me a family vacation" or "help me fix my apartment"[35:59]
• She stresses AI needs details about who is involved, what has been done before, and specific concerns to be truly helpful

Apartment organization example

For a new apartment, Allie suggests providing photos, square footage, photos of a previous apartment, and concerns like lack of storage or light[36:56]
• You can also add worries like guests seeing an unmade bed or the space appearing too empty or too cluttered
Mel asks if AI can find a couch within a budget and scan online options with delivery; Allie confirms it can[37:30]
• Allie shares an example where she asked AI for a watch under $50, AI-themed, round or square, black and gold, and watched it navigate sites to find options

How AI agents operate and handling sensitive information

Allie explains the agent is controlling a virtual computer you observe, similar to an IT person remotely controlling your machine[38:14]
• She flags that when it's time to enter credit card or login details, you should take over the screen, input them yourself, and then let AI resume
She notes these systems are not tracking your financial data when you take that precaution[39:07]

Simple daily AI habits and using AI to interview you

Most overlooked time-saving trick: let AI interview you

Allie says a very easy starting point is to come to AI with a problem and ask it to ask you 5-20 questions to help define and solve it[40:07]
• Examples include redesigning an apartment, planning how to keep a visiting parent entertained, or dissecting work issues
She recommends turning on dictation, then rambling about what you've tried, what you're worried about, and what you're good or bad at[40:19]
• Allie says she does this even at the hair salon, whispering to AI for 20 minutes and getting four hours of work done

Why depth of context matters and how AI supports planning

Mel notes Allie keeps reminding listeners that the amount of context directly affects the value of AI's responses[41:00]
• Mel frames using AI for scenario thinking as similar to human if-then planning but drawing on a massive data set to do it faster and better
Allie likes the idea of AI as a prosthesis for reinvention, not just a faster Google[42:13]
• She keeps a post-it that says "use AI to become the person you want to be" to avoid falling into a mere productivity trap

AI in the workplace: policies, quitting, and job search

Working for employers who ban AI

Allie bluntly says if you work for an employer who isn't using AI and is actively banning it three years into the revolution, you should prepare to quit[43:33]
• She argues such employers put knowledge workers at a massive disadvantage in their careers and future employability
She advises first learning AI yourself and volunteering to lead AI projects internally[44:28]
• If leadership still refuses and does not trust or allow AI, she recommends planning to leave, even if that means starting your own AI-enabled coaching or solo business

Using AI to find a job you love

Allie recommends first telling AI what you've done in past roles, including tasks you liked and disliked[45:21]
• She notes that even if you've been an accountant for nine years, you may not want to keep doing that, so AI should know your preferences and pain points
She suggests specifying company size preferences, in-office vs remote, travel preferences, and other work environment factors[45:57]
• Then you can ask AI for three jobs you're a perfect fit for, five jobs you could fit if you tell the right story, five if you take some courses, and five big stretch roles that might take a year to pivot into
Next, Allie advises asking AI to critique your resume with 20 suggested changes and to synthesize best practices from many strong resumes and company blogs[47:12]
• She says AI can pull 150 examples of great resumes and 20 blog posts from target employers, then turn that into concrete edits you should make
Allie also suggests using AI to generate creative ways to stand out, pitch yourself, and craft differentiated questions to ask in interviews[47:42]
• She notes simply knowing how to use AI makes your resume stronger

AI in a world of AI-based screening and communication

Mel points out AI-optimized resumes are useful when employers are also using AI to scan applications[48:55]
• Allie describes a scenario where an AI agent shopping for a car interacts with another AI agent answering the brand's sales questions, showing an "AI eating AI" dynamic
Allie emphasizes AI can coach you through asking for introductions or posting vulnerability on LinkedIn after layoffs, not just write formal documents[49:20]
• She notes many people have never written a post asking their network for help before, but AI can model thousands of such posts to guide them

Authenticity, coaching, and caregiving use cases

Using AI to support authentic communication and creativity

Mel highlights that AI can prepare and practice interviews and conversations so you show up more confident and effective in real life[51:27]
• Allie responds to concerns that AI kills authenticity by arguing some people can use AI to live a more authentic life
Allie describes herself as a "weirdo" who uses AI to create whimsical experiences like dumpling taste tests and laying under fake stars to a friend's violin[52:46]
• She says AI helps her come up with "weird whimsy ideas" that search engines wouldn't, enabling richer and quirkier personal experiences

Caregivers using AI to manage overwhelm

Allie shares a follower's no-code app that summarizes all school emails about his kid, plus emails from his partner, into a daily and weekly digest[52:16]
• The app produces a calendar, action items, and automated morning summary, reducing noise from many different sources
She notes caregivers-whether for children, family, or parents-face huge information overload, and AI can synthesize disparate inputs into digestible plans[52:46]

How to craft your first powerful AI prompt

Prompt template: "I'm a ___ who's trying to ___"

Allie suggests a simple structure: "I'm a [detailed description] who's trying to [detailed goal/problem]"[57:39]
• She encourages including age, role, recent attempts, specific worries, and desired outcomes-for example, a 57-year-old mother struggling to turn on a hair dryer in a hotel after trying multiple outlets and reset buttons
She says for complex problems, don't just ask for one answer; ask AI for many options and then have it rank and score them[59:08]
• For a caregiving scenario with siblings not helping and a parent developing dementia, you could ask for multiple solution paths and also for AI to list five ways you should think about the problem

Using AI to stress-test your own ideas

Allie recommends telling AI which approaches you have already tried and how they blew up, then asking for new approaches[59:57]
• She also suggests saying "I think I know the answer" and then asking AI for three ways the plan could go wrong, to surface risks you missed
She enjoys telling AI how weird and unique her situation is, then watching it still help her think through the problem[1:00:32]

Accuracy, hallucinations, and why AI sometimes "makes things up"

What are hallucinations in AI?

Mel mentions that a search recently claimed she was divorced and drove a Lamborghini, which are false, illustrating AI inaccuracies[1:00:58]
• Allie explains hallucination as AI "making things up," similar to a person on psychedelics, and says best models now have around a 1% hallucination rate on benchmarks
Allie notes models are trained on massive data and are surprisingly accurate overall, even outperforming PhDs in some tasks[1:01:38]
• She emphasizes hallucinations have dropped a lot but still exist; grounding and citations can improve reliability

Why AI tends to always answer instead of saying "I don't know"

Mel observes that AI feels like it's guessing what car she might drive based on patterns[1:02:53]
• Allie says users told systems to be "helpful" and rewarded them for answering, so the models learned that saying "I don't know" was not helpful and thus seldom do it

Concerns about AI: pace, education, privacy, and environment

Pace of change and lack of education

Allie admits even AI insiders feel "acid reflux" over how fast AI is changing compared to the last 20 years[1:04:24]
• She is concerned that companies haven't yet upskilled their employees, and parents aren't having real talks with kids about risks, mental health, over-reliance, misinformation, and cheating

Data privacy and environmental impact

Allie lists data privacy and data use as very real concerns with AI[1:05:07]
• She also worries about energy and water usage by data centers powering AI, clarifying that "the cloud" is actually physical data centers
Allie believes using AI gives you a voice in these debates because you can speak from experience about strengths and flaws[1:06:36]
• She is concerned that people who stay away from AI out of fear will have their voices missing from these conversations

Comparing AI energy use to video streaming

Allie notes there are two truths: environmental impact is a legitimate concern and should be discussed, yet some claims are exaggerated[1:08:00]
• She says streaming video for an hour uses over four times the energy of an hour of AI chat, so in some cases switching from streaming to AI could reduce energy use

Jobs, gender gaps, and how to use AI responsibly

Is AI coming for your job?

Allie states directly that there will be job loss because of AI, though the scale and timeline are unclear[1:08:42]
• She stresses that every existing job-marketing, legal, finance-will become AI-supported, shifting which tasks humans do
She gives a marketing manager example where AI constantly monitors metrics, flags anomalies, and suggests 20 possible solutions[1:09:18]
• In legal, she mentions AI being used for contract comparisons and clause risk analysis, which she also uses as a solopreneur
Allie reframes the fear from "AI is coming for my job" to "AI will be part of everyone's job" and also create new jobs[1:09:54]

Why women are slower to adopt AI and what to do

Allie notes many prominent AI voices are men, leading some women to feel the AI future "is not for me"[1:11:11]
• She observes women's use cases involve caregiving and teaching that are less often showcased, reinforcing a cycle of underrepresentation
She says at conferences she is more often asked about data privacy and environmental concerns by women[1:11:05]
• For people concerned about cloud data or environment, she recommends downloading small open-source models to run locally on a laptop with no cloud connection
Allie mentions she can use AI on airplanes without internet because of these local deployments[1:11:59]

Over-reliance and cognitive decline concerns

Mel references a Boston study suggesting significant cognitive decline from overusing AI, summarized as people "getting stupider" from over-reliance[1:12:35]
• Allie agrees over-reliance is a risk of many tech systems, including AI, and says the study showed people couldn't remember essays AI wrote for them
She argues we still need to teach kids math despite calculators, and likewise must teach taste, curation, critical thinking, creativity, and fact checking despite AI[1:13:53]
• Allie says if the goal is to remember what you wrote, then you should do the writing yourself, while still using AI to interview you or review your drafts

Gray areas: AI-written obituaries and wedding speeches

Allie mentions people using AI for obituaries or funeral remarks, and that many wedding speeches sound generic already[1:14:34]
• She calls these gray areas where people have to decide for themselves what feels responsible and authentic
She identifies urgency as a major driver of abuse: last-minute tasks push people to lazily offload to AI instead of speaking from the heart[1:15:15]
• Allie believes eliminating urgency where possible helps you use AI more responsibly and make better work

Future of AI and what excites Allie

Increasing accessibility and idea-to-execution compression

Allie is excited that AI tools are getting more accessible; two years ago you had to be a "perfect prompter," now short prompts, voice, and images often work[1:16:21]
• She says everyone has a "burning thing"-an idea, problem, or relationship-they want to improve, and AI is rapidly removing obstacles to acting on it
She predicts billion-dollar companies will be built with only a few people, and possibly even with one person, thanks to AI[1:17:10]
• Allie urges those who feel left out to lean in because the time from idea to execution on anything is compressing

Multimodal future and potential to talk to pets

Allie predicts a more multimodal world where inputs and outputs flow between text, images, audio, video, and more[1:18:37]
• She believes it is more likely than not that within about 10 years we will be able to "talk to our pets" using AI-powered translation of animal communication
She notes there is already research using AI on dolphin communication[1:19:21]
• Allie also imagines learning tough topics like quantum computing through AI-generated formats you prefer, such as a 25-page PowerPoint instead of a 700-page dense book

Emotional impact: not being alone and handling overwhelm with AI

AI as a way to feel less alone

Mel says many people feel alone and like everything is on them, and she is excited by Allie's framing that you're "not actually alone anymore" with AI as a helper[1:20:49]
• She highlights AI can act as an extension, team member, or delegate, expanding your time and capacity while awakening you to new options and plans

Advice for those overwhelmed by too many options

Allie acknowledges some listeners will now feel overwhelmed by options and pressured to "change their whole life" from a blank page[1:21:03]
• She encourages giving yourself space to fail and be weird with AI initially, breaking it and experimenting without expecting an immediate reinvention moment
She insists those willing to do this are actually ahead, not behind, even if the lightbulb moment comes later[1:23:11]

Final calls to action and Allie's personal reinvention story using AI

One most important action after this episode

Allie says if you haven't been using AI, simply use it so your voice can be included in shaping how these systems serve people[1:22:29]
• For people already using AI, she urges them to stop treating it as just Google and to try live interaction, delegated tasks, and voice conversations to unlock true superpowers

Using AI to become the person you want to be: Allie's dance floor story

Allie recounts moving to New York after a three-year road trip, losing all possessions in a sewage flood, and sitting on the floor of an empty apartment, crying over pretzels[1:23:52]
• Her therapist reframed the empty apartment as having a rare "dance floor" in New York, which led Allie to host a dance party and a New Year's planning session covering the floor in post-its
Allie then built a simple AI tool (with no code) that she could repeatedly feed problems into, asking it to reframe each situation like her therapist did[1:25:00]
• She configured it to give her multiple reframes, motivational sentences, and concrete action items each time she described a stressful situation
She says using this repeatedly completely rewired her brain, to the point that she hasn't needed the tool in months because she now naturally views stress as an opportunity for reinvention[1:25:48]
• She gives an example of being stressed about a meeting, and AI reframing it as a sign of importance and a consequence of her successful career and past resilience

Mel's closing encouragement and legal disclaimer

Mel thanks listeners for investing time to learn this tool and says she personally realizes how much more she has to learn about AI[1:26:57]
• She tells listeners she is proud of them for watching or listening and for sharing this with people in their lives who need to learn AI
Mel reiterates that she loves and believes in the listener and is now convinced that AI can be used as a tool to create a better life[1:27:34]
• She closes with a legal disclaimer that the podcast is for educational and entertainment purposes only and is not a substitute for professional medical or therapeutic advice

Lessons Learned

Actionable insights and wisdom you can apply to your business, career, and personal life.

1

AI becomes far more powerful and useful when you treat it as a collaborator and coach, giving it deep context about your situation and asking it to interview you, stress-test your ideas, and reframe your problems rather than just answer shallow questions.

Reflection Questions:

  • • What current challenge in your life or work could benefit from a detailed, context-rich conversation with an AI instead of a quick one-line query?
  • • How might having AI interview you about an upcoming project or decision change the clarity and confidence you feel going into it?
  • • This week, what is one specific problem you could describe to AI in three detailed paragraphs and then ask it for multiple options, risks, and reframes?
2

Waiting for a perfect moment to learn AI is a trap; small experiments and quick wins now will build adaptability and keep you from falling behind as AI becomes part of every knowledge job.

Reflection Questions:

  • • Where are you currently telling yourself you'll "start with AI later" instead of taking a small, low-risk step today?
  • • How could trying a single 10-minute experiment with AI this week reduce stress or workload in an area that's been nagging you?
  • • What is one tiny, concrete AI task (like summarizing an email thread or drafting an outline) you can commit to testing before the end of the week?
3

Used thoughtfully, AI can enhance your authenticity and creativity by helping you generate ideas, plan meaningful experiences, and practice hard conversations-while you still bring the heart, taste, and final judgment.

Reflection Questions:

  • • In what parts of your life do you feel like you're repeating generic patterns instead of expressing your real personality or values?
  • • How could AI help you brainstorm a more creative way to celebrate, connect, or communicate in an upcoming situation while you remain the final editor?
  • • What is one emotionally important conversation (or speech, email, or post) where you could use AI to draft options and then revise them until they truly sound like you?
4

If your company resists AI entirely, your long-term career risk increases; learning AI yourself and either leading its adoption or planning an exit is a strategic move, not an overreaction.

Reflection Questions:

  • • How supportive is your current workplace of using AI tools, and what does that imply about your skills and competitiveness 3-5 years from now?
  • • If you were to propose one low-risk AI pilot inside your organization, what problem or workflow would you choose to improve?
  • • What steps could you take over the next three months to both build your own AI skills and expand your career options beyond your current employer?
5

Over-reliance and lazy offloading to AI can dull your thinking, but using it to augment your reasoning-by asking for options, risks, and critiques while you still do the core thinking and deciding-keeps you sharp and speeds up your learning.

Reflection Questions:

  • • Where are you most tempted to let AI do the work for you instead of using it to challenge and refine your own thinking?
  • • How could you redesign your AI use so that it always includes a step where you compare, judge, and revise its output instead of accepting it as-is?
  • • What important project could you intentionally run through a loop of "my draft → AI critique → my revision" to both improve the work and strengthen your skills?
6

Reframing how you interpret difficult circumstances-with or without AI-can transform stress into opportunity, and AI can help you practice this reframing until it becomes your default mental habit.

Reflection Questions:

  • • What is one current situation that feels like a setback where you could ask, "What is the hidden advantage or opportunity here?"
  • • How might building a simple routine of feeding your toughest problem of the day into AI and asking for three positive reframes change your mindset over a month?
  • • Which recurring stressor in your life would benefit most if you practiced generating new perspectives on it every time it appears?
7

Because AI will increasingly shape information, work, and policy, choosing to engage with it now-especially if you're skeptical-gives you a voice in how it evolves and ensures your values are represented.

Reflection Questions:

  • • What specific AI-related risk (privacy, environment, jobs, education, etc.) do you care about most, and how well-informed are you from direct use of the tools?
  • • How could gaining hands-on experience with one or two AI systems strengthen your ability to speak credibly about what should change or be regulated?
  • • Who in your circle could you discuss your AI experiences with so that your concerns and values start influencing how they think and act too?

Episode Summary - Notes by Remy

How to Use AI to Make Money, Save Time, and Be More Productive
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