Remember when we all thought layer masks in Photoshop were complicated?
Or when you first encountered the pen tool in Illustrator and wondered if it was designed specifically to make you cry?
Well, AI might feel like that right now - both exciting and slightly overwhelming.
If you've been hiding under your desk hoping this whole AI thing would just go away (I see you!) this episode is your friendly guide to understanding what these tools actually do, how they can save you from soul-crushing repetitive tasks, and how to start using them.
KEY POINTS- You're definitely not too late to start using AI in your creative work – we're still in the early days of this technology
- AI tools have evolved from technical systems to user-friendly creative assistants that anyone can use
- AI learns kind of like we do as creatives – studying examples and remixing what it's seen (minus the 3am existential crises)
- The most effective approach is using AI for the time-consuming parts of your process while focusing your human creativity on the parts that matter most
- Creative professionals who learn to work with AI will have an advantage over those who resist these helpful tools
- AI needs clear direction (just like that client who says "make it pop" needs better feedback from you)
- These tools are creative assistants, not replacements - they still need your creative vision and judgment
- ChatGPT: Your new brainstorming buddy that never gets tired or needs coffee (if you give it 20$ pocket money)
- Claude: Chat's cousin with different strengths - my favorite text based AI friend (well we chat every day!)
- Midjourney: Popular AI image generation tool used by designers and artists
- DALL-E: Another image generation tool that creates visuals from text descriptions
- Descript: The "why didn't this exist sooner?!" tool that edits transcripts and automatically fixes the audio too
- Canva: The designer-for-non-designers platform you probably already know and love (or hate)
- Sign up for ChatGPT at chat.openai.com – it's free and takes just a few minutes
- Spend 15 minutes exploring with AI on a current project you're working on – ask for ideas or alternatives
- Try the "make this better" test – take something you've created and ask AI to improve it in one specific way
- Notice what works for you – what felt helpful? What didn't? How might this fit into your creative process?
00:00:00 - My story of going from "what's AI?" to "I can't live without it"
00:04:00 - What to expect from this podcast and today's episode
00:05:25 - The evolution of AI: from "meh" recommendations to "wow, did it just write that?"
00:12:19 - How AI works - explained in creative-friendly terms
00:17:07 - Baby steps: How to start using AI without freaking out
00:19:00 - How different creative fields can use AI (designers, writers, marketers, and more)
00:23:08 - Common questions creative professionals have about AI
00:26:23 - "Will AI steal my job and my latte money?" (Spoiler: No, but it will change how you work)
00:31:00 - What's coming in future episodes
00:34:48 - Action steps and thoughts on AI's impact on photography
COMING NEXT EPISODEIn our next episode, we'll explore "prompt engineering" - which is simply how to talk to AI so it understands what you're asking for. You'll learn frameworks and techniques that help you get more creative, useful results without any techy background.
Did this episode make AI feel less like scary robot territory and more like a helpful creative tool? Share it with that friend who's still using the "I'm not tech-savvy" excuse to avoid learning new things! (We all have that friend... or we ARE that friend!)
Let's Connect!00:00:33
Hey there, welcome to AI for Creative Professionals.
00:00:36
I'm Tiana, and I'm super excited you are joining me for this first episode.
00:00:40
Before we dive into today's topic, I wanted to share how I
00:00:44
personally got involved with AI and why I started this podcast.
00:00:48
So before 2019, I was doing a bit of everything as a creative va, social
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graphics, ad creatives, simple video editing, and some photography
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on the side, though not really commercially, it was just, more
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something that I did in my spare time.
00:01:04
And so I was looking for a way to specialize my services to niche
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down instead of being a generalist.
00:01:11
And that's when I came across a course in content repurposing
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and the concept immediately clicked with me.
00:01:17
I thought, okay, well this is perfect.
00:01:19
I can take existing content and transform it into different formats.
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It seemed like the ideal way to kind of escape the generalist trap, so to say,
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and here's the thing, back then, content repurposing was incredibly time consuming.
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Like I'd have to watch an entire podcast episode.
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Or a webinar or online course multiple times just to be able
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to extract the valuable insights, For creating social graphics.
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It wasn't too bad since I was already using Canva at the time,
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so it was pretty straightforward.
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But finding those sketchy, punchy, interesting nuggets meant
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listening to content at least three times, and blog posts.
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Well, that was even harder because I am not trained as a
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content writer or a copywriter.
00:02:06
So I had to learn the structure of effective SEO blog posts from scratch.
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And even after learning the rules, I was still staring at
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that intimidating blank page.
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Trying to transform audio or video into written content.
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And I think each blog post took me about three to five hours to complete.
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And at that time I didn't have dedicated content repurposing clients,
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but I was practicing because I knew that this specialized service could
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potentially command premium rates.
00:02:35
And then Chat GPT went public in late 2022, and at that time I was doing
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various freelance work on Upwork.
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but I kept thinking about content repurposing, and I found another
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training program on it in 2023 just to see what changed since
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2019 when I took that course.
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And that's when everything shifted.
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Because ultimately the basic principles of creating a blog post were the same.
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But now I could use tools like Chat GPT, or Claude to assist me, and I was
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absolutely blown away the training also included prompts for repurposing long form
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content into social captions, blog posts, uh, newsletter, can't remember what else,
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but tasks that once took me several hours.
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To complete, were subtly much faster.
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So I had the skeleton essentially, and all I needed to do was refine it, adapt it
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to client's voice, and improve the flow.
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And that's when I realized the immense power of these tools
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for creative professionals.
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I decided to start this podcast to share what I've learned along
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the way, as these tools evolve.
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New AI capabilities are emerging constantly, like every week.
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And tools that we have at our disposal are also upgrading and
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the possibilities keep expanding.
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I remember last year, uh, I was sitting at a coworking space working on some
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deadline for a client, and I overheard two colleagues, which were designers.
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I think one was a web designer and another one was graphic designer and one
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guy was showing to the other guy what he made in Midjourney with some images.
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And the other designer looked at it and said, oh, well great.
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Now I need to learn yet another tool, or I risk becoming obsolete.
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And those were my thoughts just a few months earlier.
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Like many of you I've been watching as these AI tools have been completely
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transforming creative industries practically overnight, and some of
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my colleagues jumped in immediately.
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Others were like, this is just, you know, another gimmick or whatever it is.
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I found myself somewhere in the middle.
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So I was definitely very curious, but also pretty cautious.
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And whether you've been playing with AI tools for months, or you're just
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starting to wonder what all the buzz is about, this podcast is for you.
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Each episode will explore practical ways to transform your creative work with ai.
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Uh, will feature real tools, actionable strategies, and
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conversations with professionals that are making AI work for them.
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That's what this podcast is all about.
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Not so much the theoretical discussions about the future of ai, but real
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actionable advice you can use today to transform your creative process.
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Save time and possibly even learn some new capabilities you hadn't considered.
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In today's episode, we'll explore the evolution of AI and
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how we got to today's tools.
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We'll also break down how AI works in a way that makes sense for
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our creative minds, and we'll go through first steps for beginners in
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different creative fields, and also answer the most common questions I
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hear from creative professionals.
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By the end, you'll have a clear understanding of how to
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start incorporating AI into your own creative workflow.
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Now, if you're feeling behind on the AI revolution, I want
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you to know something important.
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You are definitely not too late.
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In fact, we are still in the very early days of this technology, and now is
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the perfect time to start incorporating these tools into your workflow.\
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Let's chat about how we actually got here, because AI didn't just pop overnight,
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even though it might feel that way.
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Computer scientists have actually been tinkering with artificial intelligence
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since the 1950s, and what really changed lately isn't the concept.
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It's how powerful, accessible, and just plain useful these tools
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have become for people like us.
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Back in the early days, researchers were basically trying to program intelligence
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by hand, writing specific rules for everything a computer should know.
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You can imagine how that went.
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It's like trying to teach someone to be creative by giving them a
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thousand specific instructions.
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We creative peeps know that that's not how it works, right?
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So what changed in the last couple decades that brought AI into our creative lives?
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Let me walk you through it.
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I promise to keep it light and short.
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around the early two thousands, companies like Amazon started
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using very basic machine learning.
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For those, you might also like recommendations.
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Remember those?
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Not exactly mind blowing, but it was a start and Google was doing something
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similar to improve search results.
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So AI was there, but kind of like an intern working quietly
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in the background, helpful, but not really taking center stage.
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Then around 2006, this researcher named Geoffrey Hinton, otherwise
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known as the Godfather of ai.
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He figured out a better way to train what we call neural networks.
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basically computer systems loosely inspired by how our brain works.
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His approach was called deep learning.
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Still at this point, it was mostly academics getting excited while the rest
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of us were busy discovering Facebook.
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Remember those good old times?
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The real wow moment came in 2012.
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There's this competition called ImageNet, where computer systems
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compete to recognize what's in photos.
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That year, a deep learning system absolutely crushed all the traditional
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approaches between 2014 and 2016, things got even more interesting.
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Google's AI system called Alpha Go beat the world champion at Go.
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A game so intuitive and complex that experts thought it would take
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decades for computers to master it.
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if you're not familiar with Go, just know that it makes chess look like
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tic tac toe in terms of complexity.
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I. And around the same time, researchers developed something called GANs.
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Don't worry about the name, and it could generate brand
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new, realistic looking images.
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Suddenly AI wasn't just analyzing things, it was also creating
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things as creative professionals.
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That's when our ears should have worked up.
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2017 to 2018 is when the foundation for today's text generating AI was developed.
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Researchers at Google created what they called transformer models, and
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this approach revolutionized how AI understands and generates language.
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2020 was when things really started to accelerate.
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OpenAI released GPT-3, which was mind bogglingly, larger and more
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capable than previous versions.
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It could write essay stories, even basic code that worked.
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And this is when many creative professionals started thinking, huh, maybe
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I should pay attention to this stuff.
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Also in 2020, Dall-E appeared named as a mashup of the surrealist painter,
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Salvador Dali and the Pixar robot Wall-E.
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It could create images from text descriptions, and while they
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weren't winning any design awards necessarily, the potential was obvious.
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2021 and 2022 brought an explosion of both capability and access,
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Midjourney and Stable diffusion came about as image generation platforms that
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actual artists and designers could use.
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Then ChatGPT hit the scene in late 2022 and suddenly everyone and
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their grandma was playing with ai.
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It gained a million users in just a few days.
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That kind of adoption is unheard of.
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In 2023, things leveled up.
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Again.
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GPT-4 showed significantly better reasoning and could understand
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images too, not just text.
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Claude from Anthropic joined the party with some different strengths, and that's
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the AI tool I use most often by the way.
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Video generation started becoming possible with models like Runway
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Gen-2, which could create short clips from text prompts, and
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suddenly AI wasn't just static.
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It was moving.
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Last year in 2024, we saw the rise of multi-model systems.
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It's basically a fancy term for AI that can work with text, images, audio, and
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video, all in the same conversation.
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Creative software started integrating AI features directly
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into the tools you already use.
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So the focus shifted from, look what AI can make to, how can AI fit into
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my actual creative process. Now in mid 2025, where we are today, it's all
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about integration and personalization.
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The AI features are being integrated into the creative software you already use.
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Models are getting better at adapting to your own personal style and preferences.
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The line between generating ideas, creating drafts, and refining final
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work is blurring as AI assists throughout the creative process.
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When I look at this history,
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two big trends stand out that made AI relevant for people like us.
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First, AI evolved from a super specialized systems to versatile
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tools that can understand and generate all kinds of creative content.
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Second, it became democratized.
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You no longer need a PhD or expensive computing setup to use these tools.
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They're available to anyone with an internet connection
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through user-friendly interfaces.
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I think understanding this history helps us put these tools into perspective.
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They're definitely not magic.
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They're the result of specific breakthroughs and approaches that
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shape what they can and can do well, and this perspective is crucial
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as we now look at how the systems actually work under the hood.
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If you're a creative professional rather than a technical one, understanding
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how AI works conceptually can help you use it more effectively.
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So let's break it down in a way that might resonate with your creative mindset.
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So picture this.
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Remember when you were first learning your craft, whether you're designer,
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writer, or any other creative professionals, you didn't start from zero.
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You studied the work of others, learned principles, techniques,
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practiced extensively, got feedback that was sometimes harsh, and you
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gradually developed your own style.
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I remember when I was learning photography many, many years ago, I'd spent hours
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studying the work of great photographers analyzing their composition, lighting
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techniques and how they captured emotion.
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Later,
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As I moved into graphic design, I applied the same process of
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absorbing influences and techniques.
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I wasn't consciously memorizing each photograph or each design work, but
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I was building an intuitive sense of patterns, approaches, and possibilities.
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this learning process might.
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Actually feel familiar when we talk about how AI works.
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First, these AI models undergo a training phase where they're
00:13:26
exposed to vast amounts of text, uh, images or other content,
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essentially studying the patterns.
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Just as you might have studied the works of great photographers or designers,
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these models analyze billions of examples of human created content.
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Imagine if you could read every book, article and website ever published,
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well, almost you wouldn't remember each word, but you develop an incredible
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sense of how language works, what ideas connect to other ideas and
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patterns of expression that's, somewhat similar to what happens in AI training.
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Through this process.
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They learn patterns, structures, and relationships in the data,
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grammar, factual information, reasoning patterns, stylistic
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elements and even cultural context.
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When you interact with an AI system by typing a prompt or instruction,
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you're essentially giving it a starting point based on its training.
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The AI predicts what should come next, what words, images, or ideas would
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most likely follow in this context, given all the patterns, it's learned,
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if you're familiar with the creative concept of riffing or improvising
00:14:36
based on a theme that somewhat similar.
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So the AI is generating content that statistically makes sense as a
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continuation of what you've provided.
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Drawing on all the patterns it's learned.
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I like to think of it like jamming with a musician who's listened
00:14:52
to every song ever recorded.
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They don't play the exact copies of songs they've heard, but their
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playing is informed by all that music.
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Give them a few notes to start and they'll create something new
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that fits with what you've begun.
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This is why the quality of your prompts or instructions matter so much, just
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like the quality of a creative brief affects the work you can produce.
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When we talk about prompt engineering, quote unquote, in future episodes,
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we are really talking about how to give the AI clear, inspiring
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direction, something that should feel familiar to creative professionals
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used to interpreting client briefs.
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Uh, for image generation, the process is conceptually similar, though technically
00:15:35
different models like Dall-E or Midjourney have been trained on millions of
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images paired with text descriptions.
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When you provide a text prompt, the AI generates an image that matches
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the description based on the patterns.
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It's learned from Similar description in its training data.
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Here's what's important to understand as a creative professional.
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AI doesn't think the way humans do.
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It doesn't have intentions, emotions, Or understanding in the human sense,
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what it has is an incredibly sophisticated ability to recognize and reproduce
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patterns from its training data.
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This has important implications for how you use AI in your creative process.
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First, AI works best when you give it clear context and direction much, like
00:16:22
how you might work better with clear client briefs or project parameters.
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Vague prompts lead to vague results.
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Second, AI is essentially creating probabilistic outputs based on
00:16:35
patterns in its training data.
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And third, AI doesn't have the judgment, taste, or contextual understanding
00:16:42
that you bring as a human creative.
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It can generate opinions, but evaluating those options, refining them and
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integrating them into broader creative goals still requires human expertise.
00:16:55
Understanding these fundamentals help explain Why AI tools work
00:16:59
the way they do, and it will help you get better results from them.
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As we move into the practical steps you can take right away.
00:17:07
Now that we understand what AI is and how it works, let's get practical.
00:17:12
Where should you start if you are, let's say, completely new to
00:17:15
using AI in your creative work?
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I recommend beginning with one of the general purpose AI assistance
00:17:21
like ChatGPT or Claude.
00:17:23
These tools are versatile enough, user-friendly, and can help with a
00:17:26
wide range of creative tasks without requiring any technical knowledge.
00:17:31
Let me walk you through a simple first step.
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Open up chat, GPT, which has a free version at chat.openai.com, and try
00:17:38
using it as a brainstorming partner.
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For example, if you are a graphic designer working on a logo for
00:17:45
a new echo friendly coffee shop, you might type something like,
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I am designing a logo for an eco-friendly coffee shop called Green Bean.
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Can you help me brainstorm some visual concepts that combine
00:17:55
coffee and sustainability themes?
00:17:57
In seconds, you'll get several thoughtful suggestions that might
00:18:01
spark ideas you hadn't considered.
00:18:03
You don't have to use these suggestions exactly as they are.
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The goal is to expand your thinking and possibly discover new directions.
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I tried this exact prompt.
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Uh, for a fictional project and one of the AI suggestions was to
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incorporate a coffee beans sprouting a small green leaf, symbolizing
00:18:21
both the product and sustainability.
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It wasn't revolutionary, but it was a solid concept that I haven't thought of.
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It became the starting point for something more unique after
00:18:31
I added my own creative twist.
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The same approach works for writers brainstorming article angles, marketers
00:18:37
developing campaign concepts or video creators planning content themes.
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Think of it as a collaborative brainstorming session where the
00:18:46
AI helps you generate more options than you might come up with a loan.
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The key with this first experiments is to start with low stakes, explanatory tasks.
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Use AI as an idea generator rather than expecting it to produce finished work.
00:19:01
This helps you learn the tools capabilities while
00:19:04
maintaining creative control.
00:19:05
Here are a few specific ways different creative professionals
00:19:08
might begin using AI tools.
00:19:10
For graphic designers, try using AI to generate mood board descriptions, color
00:19:16
suggestions or typography pairings.
00:19:18
You can also experiment with image generation tools like Dall-E
00:19:22
or Midjourney to create concept imagery or background textures.
00:19:26
For writers and content creators, use AI to outline articles, generate
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headline variations, or expand on rough notes you've created.
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It can also help with research by summarizing complex topics or suggesting
00:19:40
different perspectives on an issue.
00:19:43
I remember browsing through some Facebook group and one girl, she's a
00:19:47
freelance writer, and she said she uses AI to help with the most mundane parts
00:19:51
of her work, SEO meta descriptions generating, all texts for images
00:19:56
and formatting quotations.
00:19:58
These frees up her mental energy for the creative writing she actually enjoys while
00:20:03
still delivering the complete package
00:20:05
clients expect.
00:20:07
For marketers, try AI for creating campaign themes, generating social media
00:20:12
post ideas, or drafting email sequences.
00:20:15
You can also use it to analyze target audiences and suggest messaging
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approaches for different segments.
00:20:21
I recently spoke to a colleague who is a social media manager, and she
00:20:24
was responsible for creating content for seven different client accounts
00:20:29
daily she now uses AI to generate
00:20:31
initial post concepts for each client based on their content calendar.
00:20:35
She still edits and adds her own voice to everything, but she says
00:20:39
she's cut her content creation time by 40% at least allowing her to focus
00:20:44
more on strategy and engagement.
00:20:47
I see this firsthand in my own work too.
00:20:50
These days I do podcast management and also create social media content, which
00:20:55
is most often repurposing client's older materials or existing content.
00:21:00
AI has become invaluable for helping me transform a single piece of client's
00:21:05
content into multiple formats efficiently.
00:21:08
For instance, taking key points from a client's podcast episode
00:21:13
and transforming them into a week's worth of Instagram posts each
00:21:18
with a slightly different angle.
00:21:19
The core ideas are still theirs, but AI helps me reframe and reshape the
00:21:25
content for different contexts without starting from scratch each time.
00:21:30
For video and audio creators, AI can help develop script outlines, suggest B-roll
00:21:35
ideas, or create episode descriptions.
00:21:38
Tools like script can also assist with editing transcripts, which automatically
00:21:43
edits the corresponding audio.
00:21:45
In my workflow, I use AI to create everything from show notes, YouTube
00:21:51
descriptions with timestamps, resource links, key quote, pullouts, uh, newsletter
00:21:57
posts, tasks that used to take me hours after each recording session.
00:22:01
For UX designers use AI to generate user personas, write
00:22:06
micro copy, or develop user flows.
00:22:08
It can also help draft testing scripts or summarize user feedback themes.
00:22:13
In all these cases, the goal is to use AI to handle the more routine or time
00:22:18
consuming aspects of your process, freeing you to focus on the higher level creative
00:22:23
decisions that require your unique.
00:22:26
Perspective and expertise.
00:22:27
I think of it like having an eager assistant who's read
00:22:31
everything on the internet.
00:22:32
They might not have your taste or judgment, but they can quickly
00:22:35
generate options for you to consider.
00:22:37
Research topics on demand and handle repetitive tasks so you can
00:22:42
focus on the parts of your work that really need your human touch.
00:22:45
as you get more comfortable with these basic applications, you can
00:22:48
gradually explore more advanced uses.
00:22:51
But starting with this simple, low risk experiments is the best way to build your
00:22:55
confidence and understand what's possible.
00:22:59
Now that we've covered some first steps, let's address the questions I hear most
00:23:03
frequently from creative professionals who are just starting out with AI tools.
00:23:08
Question number one, do I need technical skills or coding
00:23:10
knowledge to use these tools?
00:23:12
For most of the tools we'll discuss on this podcast, the answer is no.
00:23:16
Many AI tools today are designed with user-friendly interfaces
00:23:20
that require no coding knowledge.
00:23:22
You're having a conversation or filling out simple forms rather than writing code.
00:23:27
That said, learning some basic prompting techniques, which we'll cover in our next
00:23:31
episode, can help you get better results.
00:23:34
It's more about being clear and specific in your communication
00:23:37
than anything technically complex.
00:23:40
Think of it as learning how to give better creative direction, not learning to code.
00:23:45
Question number two, will using AI make my work less original or authentic?
00:23:50
This is a valid concern, but remember that AI is a tool, not a
00:23:54
replacement for your creative judgment.
00:23:57
The most effective approach is to use AI to handle certain aspects
00:24:01
of your process, perhaps the more routine or time consuming parts.
00:24:05
As we mentioned, while you focus on the elements that require your unique
00:24:09
perspective and expertise think about how we don't consider photographers less
00:24:14
creative for using digital cameras with auto focus , or musicians less talented
00:24:19
for using digital audio workstations.
00:24:22
These are tools that handle technical aspects, so creators
00:24:26
can focus on their vision.
00:24:28
Your originality comes through in how you direct the tools, refine
00:24:32
their outputs, and integrate them into your broader creative vision.
00:24:36
AI might give you raw material, but transforming that into something
00:24:41
meaningful remains your creative act.
00:24:43
Question number three, what about copyright and ownership
00:24:47
of AI generated content?
00:24:49
This area is still evolving, but here's what we know now.
00:24:52
Content you generate using AI tools for your professional work can
00:24:57
generally be used commercially, but each tool has its own terms
00:25:01
of service that you should review.
00:25:03
The most important thing to understand is that you can't copyright the
00:25:06
exact output of an AI system, but you can copyright your creative work
00:25:12
that incorporates and substantially modifies AI generated elements.
00:25:17
For example, if you use AI to generate ideas or first drafts that
00:25:21
you substantially revise, or if you use AI generated images as reference
00:25:26
or components in larger compositions that you significantly transform,
00:25:32
you are creating a new work that reflects your creative output.
00:25:36
We'll have a full episode on this topic later in the series
00:25:39
with more nuance guidance.
00:25:41
But for now, the key principle is substantial transformation,
00:25:45
making the output truly your own through significant creative input.
00:25:49
Question number four, how do I know when to use AI and
00:25:53
when to do the work manually?
00:25:54
Honestly, this comes down to understanding your own creative
00:25:58
process and where the bottlenecks are.
00:26:00
AI tools are particularly helpful for tasks that are repetitive research
00:26:04
intensive or required generating many variations of something.
00:26:07
AI is less helpful for tasks that require deep emotional connection,
00:26:12
nuanced understanding of specific contexts or highly specialized expertise.
00:26:17
As you experiment with these tools, you'll develop an intuition for where they add
00:26:20
the most value in your specific workflow.
00:26:23
Question number five, will AI replace creative professionals?
00:26:27
I believe the answer is no, but it'll definitely change how we work.
00:26:32
The creative professionals who will thrive in the coming years aren't those
00:26:35
who resist AI tools, but those who learn to collaborate with them effectively.
00:26:39
You know, this isn't the first time creative fields have faced technological
00:26:43
disruption throughout history.
00:26:44
We've seen similar transition and concerns.
00:26:47
For example, when digital photography came about, traditional photographers
00:26:52
worried their craft would disappear.
00:26:54
There are people who initially refused to touch digital cameras, insisting nothing
00:26:59
could replace the art of film development.
00:27:00
Today, those same people create stunning work with digital equipment
00:27:04
that allows them more creative control than they ever had in the darkroom.
00:27:08
So the technology didn't replace photographers.
00:27:11
It's changed what they focused on, shifting energy from technical processing
00:27:16
to creative composition and concept.
00:27:18
Uh, graphic designers went through this, uh, with desktop publishing in the
00:27:22
eighties and nineties before computers, designers worked with exact knives,
00:27:27
rubber cement, and manual type setting.
00:27:29
, when digital tools appeared, many feared the accessibility would eliminate
00:27:33
the need for trained designers.
00:27:34
Instead, it eliminated tedious manual tasks and allowed designers to
00:27:39
iterate and experiment more freely.
00:27:42
Ultimately, you know, just upleveling the field.
00:27:45
Writers face similar fears with word processors and spell checkers.
00:27:49
Musicians face the same thing with digital audio workstations and synthesizers.
00:27:54
Film directors with digital editing and CGI.
00:27:57
In each case, the technology didn't replace the creative professionals.
00:28:01
It's changed the nature of their work and often expanded possibilities.
00:28:06
So there's a pattern across all these transitions.
00:28:09
The technical barriers, lower basic execution becomes more accessible
00:28:13
to everyone, and professionals shift their value toward higher level
00:28:17
creative thinking, conceptual work, and the human elements that technology
00:28:22
can't replicate, at least not for.
00:28:24
Now.
00:28:24
That said, I think we should acknowledge something important.
00:28:27
AI is evolving at a pace unlike anything we've seen before.
00:28:31
The jump from GPT-3 to GPT-4 happened in just a couple of years.
00:28:36
The leap from early image generators to today's sophisticated systems
00:28:40
took place in less than five years.
00:28:42
It's moving exponentially faster than previous technological transitions,
00:28:46
and that's honestly a bit unsettling.
00:28:49
I remember reading some LinkedIn post, uh, from a creative director who put it, well.
00:28:54
She said, with Photoshop , I had years to adapt.
00:28:57
With ai, it feels like I have months.
00:29:00
acceleration creates legitimate anxiety.
00:29:03
Will there come a point where AI can truly match human creativity?
00:29:06
Will it someday understand cultural nuance, emotional resonance, and
00:29:11
conceptual thinking the way we do, frankly, I dunno, nobody does.
00:29:15
It might,
00:29:15
but here's what I do know.
00:29:17
Worrying about hypothetical future scenarios doesn't help us navigate
00:29:21
what's happening right now.
00:29:22
The most productive approach isn't, to fixate about what might happen in five
00:29:27
or 10 years, but to focus on how we can use these tools effectively today.
00:29:31
the AI Tools available to us right now are incredibly powerful when
00:29:35
used as collaborators, but they still need human guidance, refinement,
00:29:40
and contextual understanding to create truly meaningful work.
00:29:44
They are partners, not replacements.
00:29:46
So rather than getting caught up in speculation about whether
00:29:49
AI will eventually replace us.
00:29:51
Which can definitely, you know, lead to either denial or paralysis.
00:29:56
I believe our energy is better spent learning how to collaborate with these
00:29:59
tools now and understanding their strengths and limitations, finding
00:30:04
where they can fit into our creative process and continuing to develop
00:30:08
the human aspects of creativity that ultimately remain our unique advantage,
00:30:13
The future likely belongs to creative professionals who can leverage AI to
00:30:17
handle the more mechanical aspects of their process while focusing their
00:30:21
efforts on the uniquely human elements.
00:30:23
Which are strategic thinking, emotional resonance, cultural
00:30:27
relevance, and innovative vision that no AI can replicate as of today.
00:30:32
So no, I don't think AI will replace creative professionals in the foreseeable
00:30:36
future, but it will replace creative professionals who refuse to adapt to
00:30:40
AI Just as digital tools eventually replace those who insisted on sticking
00:30:45
exclusively with analog methods, the question isn't whether to embrace these
00:30:50
new tools, but how to embrace them in a way that improves rather than diminishes
00:30:55
your unique creative contribution today.
00:30:59
Now that we've covered the basics of AI and its relevance to creative work,
00:31:03
let me tell you what you can expect from future episodes of this podcast.
00:31:06
I wanna make sure you know exactly what value you'll get by
00:31:10
subscribing and tuning in each week.
00:31:12
So each week we'll dive into practical, actionable content, specifically designed
00:31:16
for creative professionals looking to integrate AI into their workflows.
00:31:21
Our focus will always be on concrete applications rather
00:31:24
than theoretical discussions.
00:31:26
We'll cover specific AI tools and how to use them effectively.
00:31:30
Everything from general purpose assistance like ChatGPT to specialized
00:31:34
tools for design, writing, video, audio, and other creative disciplines.
00:31:40
We'll also explore prompting techniques that help you get
00:31:44
better results from these tools.
00:31:45
In fact, our next episode will focus on exactly this.
00:31:48
I'll share specific prompt frameworks and techniques that dramatically improve the
00:31:53
quality of what you get from AI tools.
00:31:55
You'll learn how to craft prompts that yield more creative, , relevant
00:31:59
and useful results regardless of which specific tool you're using.
00:32:03
Throughout the series, we'll discuss workflow integration, how to
00:32:06
combine AI tools with your existing software for maximum efficiency,
00:32:11
because the goal isn't to replace your current tool set,
00:32:14
but to actually just uplevel it.
00:32:17
We'll also address ethical and practical considerations, including copyright
00:32:21
disclosure and best practices for using AI generated content professionally.
00:32:26
These topics are evolving rapidly, and I'll keep you updated as things
00:32:31
change, and we'll also feature perspectives from creative professionals
00:32:35
across different fields who are using AI effectively in their work.
00:32:39
We'll hear them share their real examples and case studies.
00:32:42
Again, this won't be theoretical discussions.
00:32:45
There'll be practical examples you can learn from and adapt to your own work.
00:32:49
Some episodes will focus on specific tools or techniques, while others will
00:32:52
address broader strategic questions about how AI is changing creative industries
00:32:56
and how professionals can adapt.
00:32:58
Our guiding principle is that AI should serve your creative
00:33:02
vision, not the other way around.
00:33:03
We're not interested in replacing human creativity, but in helping
00:33:07
you leverage these powerful new tools to express that creativity
00:33:11
more efficiently and effectively.
00:33:13
Whether you're a designer, writer, marketer, photographer,
00:33:17
illustrator, video creator, or any type of creative professional.
00:33:20
My goal is to provide you with practical guidance that you can
00:33:24
apply immediately in your work.
00:33:27
Let me wrap this first episode with some strategic steps you can
00:33:31
take this week to begin exploring AI in your creative process.
00:33:34
If you haven't done so yet, which I believe most of you have, I. Sign
00:33:38
up for a free account on ChatGpt.
00:33:40
Just go to chat.openai.com and create an account.
00:33:44
This will give you immediate access to a powerful AI assistant that can help
00:33:48
with a wide range of creative tasks.
00:33:51
Step two.
00:33:51
Spend 15 minutes brainstorming with the AI on a current project you're working on.
00:33:56
Ask for ideas, alternative approaches, or help developing a concept further.
00:34:01
Step three.
00:34:02
Try a simple editing task.
00:34:04
Take a piece of content you've created and ask AI to help you improve it
00:34:08
in a specific way, making it either more concise, changing the tone,
00:34:12
or reorganizing it for clarity.
00:34:14
This is a low risk way to see how AI can improve your existing work.
00:34:19
Step four, reflect on the experience.
00:34:22
What was helpful, what wasn't?
00:34:24
How might you integrate this into your regular workflow?
00:34:27
This reflection is crucial for developing your own approach to working with ai.
00:34:32
Remember, the goal of AI is to save you time and to find specific areas where
00:34:38
it can enhance your existing skills.
00:34:41
By starting small and experimenting, you'll develop an intuition
00:34:45
for how these tools work best into your creative process.
00:34:48
Speaking of practical applications, let's talk about something that's
00:34:51
particularly relevant for those with photography backgrounds like me,
00:34:55
especially product photographers.
00:34:57
The new image creation capabilities in tools like ChatGPT raise
00:35:01
an interesting question.
00:35:02
The ability to simply upload a product photo and ask AI to create
00:35:06
different backgrounds, lightning scenarios, different environments.
00:35:11
Will there still be a need for traditional product photographers?
00:35:14
And it's a valid concern.
00:35:16
These tools can already generate surprisingly realistic product imagery
00:35:21
with different lightning and backgrounds.
00:35:23
A client could potentially upload a basic product shot and generate
00:35:27
dozens of variations without hiring a photographer for a multiset up shoot.
00:35:31
But here's my perspective.
00:35:32
While AI can modify existing images and create variations, it
00:35:36
still can't capture the authentic physical product in the first place.
00:35:42
The initial accurate representation of the product, with its true
00:35:46
materials, textures, and details, still requires skilled photography.
00:35:50
What's changing is what happens after that initial capture.
00:35:54
So I see this as a shift in how product photographers might work rather
00:35:58
than elimination of the profession.
00:36:01
The value may move towards creating the perfect base image with impeccable
00:36:05
lightning, uh, on the product itself, while the contextual elements
00:36:09
become more flexible through ai.
00:36:12
Photographers who adapt might find themselves capturing fewer setups,
00:36:16
but licensing their base images for more use cases as clients
00:36:21
apply those AI modifications.
00:36:23
This is exactly the kind of evolution we'll be exploring
00:36:26
throughout this podcast.
00:36:27
Not just whether AI will replace creative roles, but how it's likely to transform
00:36:32
them and where the new value might lie.
00:36:35
It's something to think about as we navigate these changes together.
00:36:38
In our next episode, we'll dive deeper into prompt engineering
00:36:41
the art of getting better results from AI language models.
00:36:45
Through more effective instructions,.
00:36:47
I'll share specific frameworks, techniques, and examples that will
00:36:51
help you craft prompts that yield more useful, creative and relevant results.
00:36:56
You'll learn how to speak the language of AI in a way that gets you exactly
00:37:00
what you need for your creative projects.
00:37:02
If you enjoy this podcast, please subscribe wherever you get your podcasts
00:37:06
and consider sharing it with other creative professionals who might benefit.
00:37:10
You can also find show notes, resources, and more information
00:37:13
at Www AI for creative pros.com.
00:37:17
Thank you for joining me for this first episode of AI for Creative Professionals.
00:37:21
I'm Tiana, and I'll be back next week with more practical guidance on
00:37:25
leveraging AI in your creative work.