Everyday AI Podcast – An AI and ChatGPT Podcast - EP 487: How AI is making us more productive and dumber at the same time

Episode Date: March 21, 2025

You're outsourcing your brain to AI 🧠.Bad idea?AI can write your SQL queries. Build your dashboards. Even brainstorm your next big idea.It’s saving you hours. Maybe days.But here’s the catch—it's also stealing your critical thinking. Making you reliant. Maybe even... dumber.Sumit Gupta knows this first-hand. He’s built data strategies at Notion, Snowflake, and Dropbox. And, he’s here to break down how AI is both supercharging productivity and quietly eroding our problem-solving skills.Are we trading our brains for convenience? Let’s find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversation and ask Jordan and Sumit questionsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:Personal use of Generative AI and productivity vs. intelligence dichotomyJordan Wilson's participation in the NVIDIA conferenceIntroduction of Sameet Gupta as a guestRole and experience of Sameet Gupta at NotionThe impact of AI on productivity and critical thinkingExamples of AI tools used by Sameet GuptaChallenges of balancing AI use with retaining critical skillsPotential risks and costs of over-reliance on AIWhite coding and its implicationsRecommendations and personal strategies to maintain skills alongside AI useThe influence of AI on different age groups, particularly studentsDiscussion on cost implications of using AI improperlyNotion's capabilities in enhancing productivity and retentionThe future impact of AI on knowledge workers and the workforcePractical advice for business leaders on AI integration and maintaining productivityTimestamps:00:00 "Using AI to Stay Sharp"04:11 Anthropic's Claude Gains Real-Time Web Access08:02 Streamlining Dashboards with AI10:48 "GPT for Quick Code Debugging"15:34 Guardrails Needed for Costly AI Mistakes17:27 AI for Repetitive Tasks20:35 Growing Business with AI Expertise23:20 AI's Impact on Younger Generation28:04 AI’s Impact on Future Workforce30:Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. I've been struggling with this one for years.

There's so many instances when I want to personally use generative AI in large language models to maybe help me complete a certain task faster, maybe to go into more depth. But then I think, okay, yes, this is going to save me some time. It's going to make me more productive. But am I just going to get dumb over time, right? the more I blindly hand off knowledge work to a large language model. Right. So it's something I'm excited to talk about today, kind of this dichotomy of, okay, how can we, you know, still use the best technology that I think any of us have ever seen maybe in

our lifetime, yet still keep our brains sharp, right? How can we find that balance of being productive, but not just getting dumber at the same time? This is going to be a fun one. I can't wait. What's going on, y'all? My name's Jordan Wilson and welcome to Everyday AI. This is your daily live stream podcast and free daily newsletter, helping us all not just learn AI,

but how we can leverage it to grow our companies and our careers. So it starts here with this very podcast. I'm excited for our guest for today, but it continues in our newsletter. So if you haven't already, please make sure to go to your EverydayAI.com. Sign up for the free daily newsletter. We're going to be recapping some of the most important points

and takeaways from this very conversation. and laying it all out for you, right? So you can actually take this info to grow your company and your career. All right. So before we get started, as a reminder, I just got back from the Nvidia conference. We're going to have a ton more out of GTC over the next week or two. I had so many amazing interviews. You know, I can't wait to, you know, release these over the next few days.

So just make sure to keep an eye out for those. All right, before we get started, I first want to go over some of the AI news for March 21st. So first, OpenAI has launched its advanced AI models for voice. So OpenAI has introduced three new voice models, which are called GPT40 transcribed, GPT40 mini transcribe, and GPT40 mini TTS or text to speech. Yeah, got to love the naming. All right. So these models are designed for transcription and text to speech applications and available through OpenAI's API for third party developers. So the models include some pretty nice groundbreaking features such as real-time streaming speech to text and customizable voice presets. So users can modify accents, pitch, tone, and even emotional

expressions through simple text prompts. So the new models significantly outperform Open AI's previous Whisper model, which is one of the best models in the world, achieving a 2.4 word error rate in English compared to Whispers higher error rates. They also perform well in noisy environments across 100 plus languages. All right. Open AI also launched a pretty cool competition, which is kind of rare for them. So we'll make sure to link to that in today's newsletter. All right.

Next, Gmail and Google have introduced some actual AI powered features for Gmail now. So Google has rolled out a new AI powered search feature in Gmail to display more relevant email results based on factors like recency, frequent contacts, and most clicked emails. Previously, Gmail's search function only showed emails contained entered keywords in chronological order, often leaving to overwhelming and irrelevance results. So users can now toggle between most relevant and most recent search results when using this new AI feature. Yeah, I'm excited to test this one out because, yeah, the old kind of Gemini for AI, it was just kind of a bad search, right?

So hopefully this one's better. You know, we'll find out. And speaking of something getting better and about time, my gosh, about time. Amazon's Claude finally has real-time access to the web. I don't know. This is like to me, this is like, you know, you've had an iPhone for 10 years and it just started text messaging like today. Anthropics super late on this.

But they did announce a major update to Claude, enabling it to search and process information on the internet in real time. So Claude's new web search feature is now available for paid users in the U.S., allowing the AI assistant to access and synthesize up-to-date information instead of relying solely on training data. So the feature includes direct source citations, a move designed to address concerns about misinformation and AI hallucinations while boosting user trust. So, yeah, I know I've been kind of hard on Anthropic for this very reason, but I think it, if I'm being honest, it was kind of getting almost like dangerous. to use any large language model not connected to the internet. Yes, you still have to do your due diligence to make sure these AI in large language models are just hallucinating information, but still.

All right. Yeah, we're going to have a lot more on those stories and ton in our newsletter. So make sure you go to your everyday AI.com. All right, let's get to it. Good to be back live. Good to see y'all on the LinkedIn and YouTube machines, big bogey face, and Brian and Jay, Zach, Michelle, Jessica, everyone else. if you have any guests.

Questions for our guests, make sure to get them in. Michelle, Sandra, Cecilia, Gene, everyone else. What's up? All right. I'm excited for today's guests. So please help me welcome to the show, bringing him on.

There we go. We have Sumit Gupta, who is the lead, B.I. Engineer at Notion. Sumit, thank you so much for joining the Everyday AI show. Yeah, no, thanks. Thanks a lot, Jordan, for the welcome and morning. All right.

I'm excited for, this one. Before we get into this topic, which I'm going to try it hard to shut up and let you talk a lot because I've got a lot of feelings on this one, Sumit, but can you first tell us a little bit about what you do in your role at Notion? I'm sure most people know Notion, but maybe just, you know, for those that don't as well, maybe if you could describe that as well. Yeah, sounds good. So I lead the BI Engineering at Notion. I support sales and marketing team here. If you've never heard of Notion. So Forbes like to call Notion as AI everything app. You can think of notion as a blank canvas and you can do pretty much everything. You can do notes, you can

do database automation, you can create your own GAN chart and project management. Notion can pretty much do everything nowadays. And I come from a place in India. I was born in Bombay. I've been in US for 10 years and have been using AI like in professional life for a couple of years now. And I'm pretty excited to talk about the topic. I'm actually like, as much as I'm excited, I'm also like, it's a topic which is very close to me. And I think it's the same with you also.

So let's let's get going. All right. Let's get to it. Is using AI making us dumb? Yes. The short answer is yes. But allow me a couple of minutes to explain that part, right? In my rule, right, at notion I, day and day out, my job is,

to write SQL query. SQL query, my job is to create dash puts and reports in Tablo. And, you know, before AI, like let's say if I, if I wanted to create a Tableau report, it would take me three to four weeks, right? Generally, there's a lot of QR-fro involved with stakeholders, and I would go and write a lot of calculated fees. I'll write, I'll do a lot of joining, I'll iterate over charts, right? But nowadays, whenever I get a request from my stakeholders, I'm okay I strategize of how the dashboard might look like what do I need what calculate it feel I need and then I I feed that data into AI right I you wouldn't believe I have premium subscription of pretty much anything every AI that

you can imagine GPT publicity cloud like you know all the AIs have their own strength right so in my case I would go to let's say cloud and be like you know what create a calculated field for financial financial financial year right and comparing financial year metrics and cloud will split out a 200 old calculated field right if i was to do that previously right if i was to do that it would take me at least four to five hours to even you know get it right with cloud i it does not even take four to five minutes it probably takes like less than a minute right so it makes me productive 100 percent like you know instead of spending two two days writing calculated field i'm i'm finalizing my calculated

fields and you know my metrics in like two hours right But the counter side, counter of that is it's made me lazy. Let's put it back away. And when you're lazy, you're not thinking really hard. When you're not thinking hard, you're dumb. Right. It's so true, right? And, you know, I'm curious, you know,

see me through your personal experience because I, you know, I remember the early days, you know, back in like 2020, right? before chat GPT came out, there's all these, you know, essentially writing tools, right? And I was a journalist. And so I was using this technology early on and I'm like, okay, this is good. And then it started to get to a certain point for me, even before chat GPT came out that I'm like, wait, I'm starting to turn off my brain in some instances, right? And, you know, you have to start keeping that in check.

You know, I'm curious, what was the point for you, right? When maybe the power of certain LLMs started to, you know, really get really good. and you're like, wait, do I have to, like, sit back and look at how I'm using these? Like, did you have a certain point where you were like, whoa, I, like, I have to make sure I'm still using my brain? Yeah, yeah. I remember the time that you're talking about because I think before GPD came out, there were like article relighter services, right, like copy AI and those kind of companies,

award AI, et cetera. And those were great. But GPD came along and then you're like, wait a minute. minute, is this real, right? And as well as specific instance of when I felt this is like, you know, life changing, right? When I was at Snowflake, I was tasked to build like a streamlet report and then I'm not a Python visit, right? So I started using GPT to like debug my code part of my, part of my like trying to debug my code. Because previously you would go on Stack workflow, you would research, you would spend a couple of hours, you know, and you try, you'll try multiple different coding solutions.

to see if it's what's working, right? And then with GPT, I was able to do that in less than 30 minutes, right? And this is like early to 2020, late 2022, right? Where models were still not like great, right? It was great at the time, but now when you think about it, how clon works, right, with the coding output, etc. and with Courser AI, etc. In 2022, the fact that I did not need a mentor or a coding body to actually

review my code and get the code working, That was a mind-boggling moment for me. So what's your advice? You know, maybe for people who are struggling. And, you know, I'll even say like one of my personal examples, right? I said I'm a journalist. You know, I do a lot of writing. I write a daily newsletter, right?

And there's some instances where I use AI and then there's some instances where I don't. Because at least I feel if I start handing off one of my, you know, most polished skills that I've been getting paid for two decades to do, if I just keep handing that off, I'm going to lose that skill, right? How can, how can, you know, business professionals out there, Sumit, start to, how can they find that balance? Yeah. I think in my case, I'm not to a point where I'm handing my life off to AI yet. And I don't think so I will ever do that.

Because when you're in tech, if you're not learning, if you're not critical thinking, you'll be out of job illness in six months. And I'm completely aware of that. And to be honest, I only use AI for things that I am already great at or you know, you need some support. I wouldn't go about and be like, oh, I'm an AI researcher, writer technique, write a research paper of 30 pages, right? That's, that's BS. That's not the best use of my time. Even if I, even if AI could write it, that's not who I am.

and that's not what I want to do. So in short, I want AI to do the repetitive task that I generally used to do previously. And in the area that I am already exported, right? I'm an expert in Google search. But nowadays, the cloud just launched web search, right? Little to that, but before that, complexity, I would ask publicity to be like, you know what?

Like literally early last week, I've been looking to like, do a lot more speaking gigs this year. I went to perplexity. I'm like, perfect, Poverxity years a prompt, go about and search like data conferences or analytics conferences, which are still open for a speaker. They have called for speakers, right? And Poplexity gave me like 25 different links.

If I was to do that, right, it would take me a couple of hours, if not more to even do that. So things that I'm exported and which has a repetitive element to it, that's where AI shines. Yeah, that's a great point. Yeah, anything with research, repetition, right? Things that don't like, you know, yeah, if I'm researching something manually and I have 30 tabs open, like I think maybe that process is making me dumber, right? Not by skipping it is probably making me smarter, right? Not getting stuck down all these rabbit holes.

But, Samin, I'm wondering is, is there any downside, right? Like specifically like cost, right? Because sometimes, you know, as an example with vibe coding, right? You know, because I think this is huge, right, when it comes to, you know, coding, software development. Everyone's just, you know, sometimes maybe turning off their brain too soon. Is there a downside even to elements like that? Oh, I think we lost your audio there, sweet.

Yeah, yeah, yeah. So I think the white coding moment is here. I think a couple of weeks back, YC, right, Y Combinator published a post where 90% of the YC back startups are, you are white coding. like their apps completely based of AI coding. I mean, that's great, but I think I have a couple of examples that I would want to talk about. One of them is like I read a post on X or Twitter as we used to call. Someone wrote a code and they used the AWS Access Key, etc.

And then the backend wasn't very secure. And then hackers were able to access back and then the founder saw like a million dollar bill. Right? Because when you're white coding, you're not thinking of backing. You're like, oh, yeah, the website looks pretty. That website looks great. I'm ready to get that funding. So that's one instance. Another instance is recently one of our non-technical stakeholders,

wipe code and you wrote a SQL query. The SQL query with the joins and everything else should have taken less than like a few dollars to execute on our platform like on Snowflake, but it took over $10,000 because when you're querying like trillions of rows, if you're not careful, if you're not efficient in writing a query, the select star statement can cost you thousands of dollars. And that's what happened. So that's the downside of using AI without really like when I think of AI, I think of myself as a guardrail for AI, right? AI can do what I ask them to do, but it's my job to make sure there are garterils that are and make sure that it's working, but it's not costing in dollars, right?

Then it should. Yeah, that's a good point, right? And so for those that aren't familiar, you know, vibe coding, you know, that's essentially when either non-technical people or people who know how to code, right, instead of just going in there and, you know, writing it by hand, they're just kind of passing it off to, you know, maybe a tool like cursor or something like that. But if you're using an API, right, and you're paying the usage, yeah, those bills can skyrocket.

right uh right uh you you know i'm curious uh simit is there anything that you're that you're doing uh you know actively you know to ensure that you're still staying sharp right that you're not getting dumber right i think this is something i'm asking you right because i i need to find these things myself because i sometimes find myself over reliant uh on large language models right what are you doing in your day to day to make sure that you don't hand off too much and and you know finding that balance yeah I think my way of think as I alluded to it right my way of thinking of best use case of AI is a repetitive task anything let's say and as I mentioned like especially in my case right when I'm SQL Quaring or when I'm

writing or building tab or dashboard the first iteration is always mine right I'll go ahead and build the dashboards right because I don't want to lose that touch but But once that first innovation is done, generally, you know, after a part of time, you need, you are like the way you have created a writer's block engineers and you know, data visualizers like me can have that block tools. So I'm like, okay, what do I do next? What can I improve? That's why AI comes into picture because think of AI. What's LLM? LLMs are being fed like with a million visualization, right?

And they know like, you know what to look, what's good, what's great, what's bad, right? So you can take that suggestion. And that's what I do. I take this suggestion. I'm like, okay, how do I improve this chart? How do I improve this query? Can I make this query more efficient? Right?

And that, that, I have that cut off. Without that cut off, I would be even more dumb. I mean, I know I keep using dumber as a very loosely, but not that I'm dumb. Like I work for notion, right? I mean, obviously we are all smart here. But the fact that that cut off is really important for me, I am hoping and hoping and praying that that cutoff does not get lower and lower as the day's fire and it should ideally get higher and higher and that is why i want to talk about this topic because it's an emotional

topic for me itself where i'm like it's an it's an inflection point where i'm like i don't want to get this cut off lower i want to keep this keep a high bar of you know uh making sure that i stay on top of my feel i critically think and you know i'd be in the job the market is already rough You don't want to make it easy for folks to not hire you. Yeah, and now's a good time to point out, you know, live stream audience. If you do have any questions for Samit, make sure to get them in now. You know, there was a recent study. We covered this one in our newsletter.

It was for Microsoft. It was a great, great study. It was called the impact of generative AI on critical thinking. And it found that for knowledge recall, 72% of participants reported using much less effort or less effort compared to not using Gen AI. So, like I think, right,

and you know, maybe this isn't a stretch, right, but I think of the brain as a muscle, right? The more you use it, the smarter you get. The less you use it, the more you turn it off, right?

The dumber you get. And, you know, we, we hear constantly about how, you know, these, these LLMs and the benchmarks and,

you know, these pseudo IQ tests and, you know, like, it's getting to the point, you know, as we quote unquote approach AGI or ASI or whatever you want to say, right, that any large language model is going to know more than any human. So like, how should we be addressing this, right?

Because part of me is like, okay, maybe it's good to just give more and more to these large language models because they're smarter and they know it and I don't, right, versus, okay, well, I'm not then developing new skills. Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience. Meet Firefly AI Assistant, now live in the Adobe Firefly app, the all-in-one creative AI studio. Powered by Adobe's creative agent, Firefly AI Assistant lets you start with your vision, just describe what you want, and shape the outcome as it takes form with the Assistant. The Assistant orchestrates multi-step workflows,

drawing on 60-plus pro-grade tools across Adobe Creative Cloud apps, including Photoshop, Illustrator, Premier, Lightroom Express and more to help bring your ideas to life. You can also get started with creative skills, a growing library of pre-built workflows for common creative tasks like batch editing photos, creating mood boards, portrait retouching, and creating social variations. Every step the assistant takes is visible so you can refine, redirect, or take over at any time. You stay in the driver's seat as the creative director. Adobe Firefly AI assistant now in public beta.

See it today at firefly.adobie.com. Yeah. So that's exactly where you should have your own, old like, you know, cutoffs or, you know, baseline of when you bring AI in your life. You cannot be bringing AI in your life or everything. I mean, you might be tempted to, right? But it's like the way I think of it as, like,

you're getting short-term results for long-term losses. Right? That's how I view AI, if I start using it. AI for everything in my life. Let's say if you're a student, right? I think I saw a post like last week from a Berkeley professor and he's been teaching like database and database for like 10 years. And he noticed that people have stopped asking a lot of questions in the classes now, like students. But then he also realized that he's like, oh, maybe I'm, I, I've just become so great that students don't have any questions. But then during tests, right, midterms,

The average score was the lowest it has been in last 10 years. Right. Because students actually without even trying to understand or learn, they're using AI to, you know, write assignments, you know, but then when you are in, when you have a midterms, right, in the class, you don't have access to let's the GPT. You are not going to recall what was thought because you just weren't focusing or your, you just did not, you did not stretch your muscle enough to like in your assignments to retain that or retain or recall that information.

So that's a very good use case of where AI is actually impacting, you know, even younger generation. Because at least for us, like we come from place where we still have built that muscle, right? Like, you know, when we were growing up, right, we had to do it because GPT did not exist. Like I wrote a book, right, the Tableau Workshop. It took me a year and a half to write that book. Nowadays, if I was to do the same thing again, it would take me less than three months because I know for a fact, a lot of things would be GPT driven. right so the fact that you know having that guardrail having that cut off for when to use AI and when not to use AI is going to be as critical as the fact that your prompts are supposed to be great yeah i think i think you bring up yeah a lot of a lot of good points there and i'm sure there's going to be you know many more uh of some of those types of stats right to just show hey you know scores across the board on on certain standards

standardized testing are probably going to continue to go down, especially when you can't use AI, right? Because I think that people are maybe leaning a little too heavily on it. So even for myself, right, I think the productivity piece maybe has that downside, right? Because I've never felt so productive in my life. I've never felt that I've learned so much in my life, right, since AI came out. You know, you mentioned, you know, being able to, you use something like a, you know, quick search tool, perplexity, deep research, GROC, deep research, open AI, deep research. So I feel I'm able to bring in all this knowledge, but then I just feel I forget it, right? Like, do you ever find yourself, yes, now I'm more productive and more knowledgeable, but I'm still not retaining anything. Like, do you ever feel that way? Yeah, I can give, I, I, specific example.

I think one of the one of the everyone who's listening in the will understand so when you type something in Google let's say right and if you make a mistake right then Google says did you mean let's say a word X Y Z right and you don't you don't you don't even try to make correct it you just click on that like the correct spelling right of that word and you know you Google searches for you imagine like your ability to recall like you when you're typing you almost know that the spelling is going to be wrong but you hope that Google is going to correct you right that

happens far too often right and then I'll treat to your question again right right so I have started noticing that when I used to write SQL query myself I would know how to write case when statement I would know how to write let's say specific function in SQL but now if I don't have GPD I have to like okay how do I write even case statement right because this statement can be complicated So when that infection point comes in, I'm like, I don't think so this is working for me, right? AI is making product. But then if the fact that I can't retain information anymore, I am becoming more of an AI than a new one.

Yeah. That's a good point. You know, as weird as this sounds, I find, and this is for me why this topic really does hit home. Like, I'm not exaggerating. I'll look up things on, you know, chat GPT search, perplexity, you know, Google. search, whatever, on a certain topic that I'm trying to learn. And in so many cases, and I kid you not, in so many cases, a lot of the first sources are myself, right? And that, and like, in that, you know, because I covered something six months ago or I had a guest on or I did a tutorial,

right? And for me, that's that it, it almost hurts because I'm like, wait, I'm learning from myself and I forgot this. And this was three months ago, six months ago, how did I forget this? right? Is that going to become, do you think, more and more common, just our ability to retain information for a longer period? Right. Like, I find myself struggling with this often. Yeah, that's going to happen. If we don't, see, as I mentioned, with our, like, you know, pre, let's say, 90s-born folks, right? Or pre-80s or 90s born. At least in our case, we grew up with that critical thinking ability, right? We were supposed to do our own job, right?

So that's why like we both like, we both are able to talk about AI and how it's making us number, right? Talking about cutoffs and guardrains for folks younger than us. Like if you have 15 or 16 right now, you have like the whole computer in your palms, right? And you are like using AI for everything in your life. Right. So, uh, the fact that. you do not go through that muscle-bending exercise for like a decade or two, right? You don't have that retain, ability to recall or retain that much.

Your muscles not built, right? Your brain muscles just not built. But I hope that as much as AI is a boom, right? It's helping folks. It does not turn into a course in five to 10 years where, you know, there's let's say now let's 10% of world population who can get let's say job in IT because of you know their critical thinking ability but in 10 years I hope there's not a that number still stays at 10 or above not goes down to let's say one or two percentage because the top one or

two percentage who who know how to use AI in the job are going to be millionaires right are going to be in the market in the in the demand for like years to come. But that top one to two persons are not going to run the world. You need more people, you need critical thinking ability. You need people who can retain and recall. And you know, use AI to like as an assistant, not replace a real human with the AI. AI is your assistant. Not like your personal full-fledged human who can do everything that you can imagine. It should be complimentary. It should be complimentary. should always be complimentary to you, not the other way around.

Yeah. So, you know, anyone that's listened to this show, like, you all know, I hate when, you know, people come on here and pitch their products. But, you know, Michelle is asking, and I, like, I feel to meet, you have to take this one because, you know, asking, tell us more about Notion. Can it help with this retention? Like, I got to give you that one because it's a softball because it's great for that. No, 100%.

So, if you've never heard of Notion, I highly recommend you. We have a free trial. I don't like I'm not representing the representing notion here right it's all personal opinion but go ahead go to notion dot com sign up for a free trial you would be surprised with what notion can do for you right obviously it's a note-taking app but notion now also has like assistant AI which basically if you connect your let's say Slack you connect your other tools right and if you ask question it's like a knowledge AI now where it will search through your post messages on Slack it will If you were to use notion in your professional setting,

it will search through your docs and give you like relevant information. GPD works great, but it does not have access to your personal information, or you know your company information or knowledge based on the company. And that's where notion AI shines. The fact that you can, I have had so many instances with notion AI and I'm like, hmm, did someone talk about, let's say a metric, right? because I've been a notion for a year. So there have been metrics that have been the company has been using for multiple

use, right? But okay, when it was the first time someone mentioned, let's say, month over month retention for product users? So notion here actually goes to the whole slack history that we have and gives me like exact link and connoissell context of, okay, this is when let's say director of demand gen was talking about this. Right. So the fact that notion AI does that for you is a me.

Obviously, that's one of the features of notion here. There's the fact that you can create nodes, you can create automations. If you are new to notion, I would highly recommend you just Google notion templates. People have the whole brain on notion. There's the whole concept. Jordan, you would know like there's a whole concept of like second brain on notion. Just Google that second brain on notion and you would be amazed with what people can create. Yeah, yeah.

do agree. And I was like, hey, perfect, perfect chance there to answer a question super directly. But, you know, this one might be controversial. So Sandra, thanks for this. You know, she's asking, could, could this be the end of the knowledge worker, right? You know, for decades, we've gotten, you know, we've gotten jobs. We've gotten promoted, right? Companies have have grown into unicorns, trillion dollar companies based on what its people know. So me, could could this, could we be not now, right? But could we be. the end of the knowledge worker anytime soon? I know folks talk about a lot about, oh, is AI going to take my job or is AI going to replace

me? I think that's partially true for jobs which has a lot of repetitive aspect to it. Right. And I believe knowledge workers fall in that category. But the counter argument to that is, so if you're a knowledge worker and if it, let's say, you were doing, let's say, 10 tasks a week. With AI, if you upgrade yourself, if you know how to use AI to complement your job, instead of doing 10 jobs, if you're doing 40 jobs now, because AI, right, AI can hallucinate.

We all know that, right? AI is not perfect. Like any, any time I see an AI output for a metric or something, I generally go about and, you know, verify that myself, right? And as a knowledge worker, if your job wouldn't be, now to research a lot but to fact but to validate what the research is saying so instead of doing 10 tasks if you upgrade yourself to do let's say 30 tasks 40 tasks you're always going to be in the demand but if you are one of those lazy workers where you know you're still stuck at 10 and you ask

AI to do 90% of your job and you know let's say you you do a report for a cdio of your company and you know the ctio uses that number in in a board deck and that number is absolutely weird and does not make sense. You're not going to be in your job because your job is to validate and verify and obviously get that info, but if you don't validate it and verify, you're going to be out of job. And that's that's all a good thing. I think, I think that's a great, a great take there. Yeah, yeah. I'll, I'll have to save my, my hot takes on that one for another day. But so we've covered a ton in today's episode, you know, from some of your personal examples and how, you know, sometimes using AI might just be more expensive. It might be better, right? It might be making us dumber in the end.

But, you know, as we wrap up, what's your one most important takeaway for business leaders out there grappling with that same thing, you know, feeling, yeah, I'm becoming more productive, but I might be becoming a little dumber. What's your, what's your best takeaway for everyone? Yeah, don't change the hype. I think the hype right now is MCP and Modern Context Protocol and, you know, white coding, right? Don't chase it. Think of, you know, your specific use cases, right? Of how, think of all the repetitive tasks that your company has or you are doing. And think of can AI helping here, right?

Don't go chasing. Oh, can AI create reels for me? With one click. Yes, it can, but is it going to add value to your audience? Probably not. Right. So think of repetitive tasks where, you know, you can use AI as a compliment, but don't think of, replacing AI as your full-fledged assistant yet and I the way I like to believe is like this is the worst AI will ever be right that's how I like to think in in two years ago Claude AI the coding output wasn't like great now

to how do you can build your website in less than two minutes right like a full flat gaming gaming thing with unity etc so to business leader as I mentioned Think of all the repetitive tasks that you can automate. Use NATM, use Make.com, automate your workflow. But don't chase the cloud and don't chase those click baity titles. You can go on YouTube and you can find that. People talking about how AI replaced my, how AI helped me structure my life.

That's great. But those are just for recording purposes, you go talk to them. That's not a real use case. Love it. I think some great takeaways and some wise words for those of us out there, you know, struggling to walk that tightrope between, you know, productivity, but still retaining all of that knowledge that makes a special, unique human. So, Samit, thank you so much for sharing your time and talents with the Everyday AI show. We really appreciate your time. Yeah, thanks a lot, gentlemen. Thanks. Thank you.

All right. All right, everyone. there was a lot of great info there. If you missed anything, if you need to hear it again, if you need to know more, our newsletter is where that's going to happen. So if you haven't already, please go to your everyday AI.com. Sign up from the free daily newsletter. If this was helpful, tell someone about it.

Right. So if you're listening maybe here on LinkedIn or Twitter, just go ahead, repost, retweet, re-X, whatever it's called. Help, help someone out. Also, help us out. Tune in tomorrow and everyday. For more Everyday AI. Thanks, y'all.

Thanks. Wait. Meet Firefly AI Assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution.

Stand control with the ability to step in and refine at any time. See it today at Firefly. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.