ChatGPT: Are you trying to find a way to make some additional money? Look no further than OpenAI’s ChatGPT, a language model powered by artificial intelligence. With the help of a large language model (LLM), this conversational AI platform can produce writing that appears human and can react naturally to requests. You can use ChatGPT to monetize your writing abilities while working from home. In this article, we will share a few ways in which you can use ChatGPT to make money.
How can ChatGPT make you rich?
Content writing
Excellent for writers who wish to make a solid living from what they write. Marketing offices are always in need of writers who can produce excellent material quickly. ChatGPT can help you write more quickly so you may take on more assignments.
Blog posts
Writing blog posts with ChatGPT is an additional method of earning money. ChatGPT is a useful tool for coming up with blog post ideas, writing blog posts, and even optimising them for search engines. Over time, this can be a really effective technique to get passive income.
ChatGPT for Social Media Management
Additionally, you may utilise ChatGPT to produce captivating and successful social media content to advertise your website. Influencers who are currently making money on social media can use ChatGPT to produce content more quickly and effectively.
Create Effective Marketing Campaigns
Even if you think you can produce content for websites or social media, you can always gain from a thorough marketing plan. With the assistance of other accomplished marketers and the data ChatGPT already has stored in its memory banks, ChatGPT can assist you in identifying your target market and creating a successful marketing strategy.
Creating a website
Developing a website to advertise your goods or services is another method to make money with ChatGPT. Landing pages, product descriptions, and blog articles may all be created with ChatGPT for your website. You may concentrate on other parts of your website, such as design and marketing, by using ChatGPT to save time and effort on writing.
Last year, Amazon CEO Andy Jassy said that every business division at the company was experimenting with AI. Today, Amazon has announced its most ambitious AI product yet: a chatbot named Rufus to assist with your online shopping.
Imagine ChatGPT, but one that knows every detail about all the products in Amazon’s vast catalog. Plus, it is also connected to the web, which means it can pull information from the internet to answer your questions. For example, if you plan to buy a microSD card, Rufus can tell you which speed class is the best for your photography needs.
Amazon says you can type all your questions in the search box, and Rufus will handle the rest. The generative AI chatbot is trained on “product catalogue, customer reviews, community Q&As, and information from across the web.”
In a nutshell, Amazon wants to decouple the hassle of looking up articles on the web before you make up your mind and then arrive on Amazon to put an item in your cart. Another benefit of Rufus is that instead of reading through a product page for a certain tiny detail, you can ask the question directly and get the appropriate responses.
An AI nudge to informed shopping
Amazon
Amazon says Rufus is capable of answering generic queries such as “What to look for before buying a pair of running shoes” or simply telling it, “I need to deck up my workstation,” and it will automatically recommend the relevant products. In a nutshell, it’s a web-crawling recommendation machine that will also answer your questions, product-specific or otherwise.
“Customers can expand the chat dialog box to see answers to their questions, tap on suggested questions, and ask follow-up questions in the chat dialog box,” says the company’s official blog post.
For queries such as “Is this phone case reliable,” the AI bot will summarize an answer based on product reviews, Q&As, and information on the product page. At the end of the day, it’s all about making informed purchasing decisions with some help from an AI chatbot.
Amazon
Rufus is currently limited to a small selection of Amazon mobile app users in the U.S. as part of a beta test. However, this is an early version of the product, and Amazon also warns that Rufus “won’t always get it exactly right.” In the coming weeks, the AI chatbot will be made available to a broader set of users in its home market.
Rufus seems to be one of the more thoughtful and practical implementations of generative AI I’ve seen recently, and far away from the hype machinery built around the tech with hidden caveats. Plus, it seems to be free, without any Prime mandates.
A few major services won’t have native apps for the Apple Vision Pro at launch.
Apple’s Vision Pro has arrived. The devices launches on Feb. 2 and whether you’ve already ponied up for the mixed-reality headset or plan to order one, you’re probably wondering which applications will be available when you finally get the Vision Pro in your hands. (If you want to be one of the first to take Apple’s headset for a demo run, here’s how.)
Interested companies are already lining up: On Jan. 16, Disney announced it will have Disney Plus for the Apple Vision Pro, which will bring 3D movies to Vision Pro users at launch, including Avatar: The Way of Water and Star Wars: The Force Awakens, as well as hyperrealistic Disney environments that allow you to watch movies and TV shows in places like Star Wars’ Tatooine and Marvel’s Avengers Tower.
However, not every app you might be hoping for will be accessible on the Vision Pro on Day 1.
In fact, several major companies are choosing to not build exclusive Vision Pro apps for their services, nor make their existing apps compatible, most notably Netflix, according to Bloomberg’s Mark Gurman. Instead, if you want to use Netflix on the Vision Pro, you’ll have to access it through your web browser, just as you would on your computer.
Not sure if your favourite application will work on the Vision Pro? Here’s a list of which services will and will not work at launch on Apple’s long-awaited headset.
What kind of applications are there on the Vision Pro?
On your iPhone, you can really only download one kind of application, and that’s any app in the App Store that’s designed to run specifically on iOS.
With the Vision Pro, it’s a little different. Two types of apps can run on the Apple headset:
Compatible apps: These are iOS/iPadOS apps that are not optimized for the headset but will still work on the Vision Pro when it launches. These apps will appear in a window on visionOS.
Native apps: These are optimized apps built specifically for visionOS. You’ll get a more immersive experience with these apps on the Vision Pro.
Apple announced that over 600 apps with native support for Vision Pro will be available when the headset launches in the US on Friday. And that’s in addition to the over 1 million compatible apps across both iOS and iPadOS.
However, some apps simply won’t appear on the Vision Pro, because there is no native app nor is the existing iOS/iPadOS app compatible.
Which applications won’t be available on the Vision Pro?
As mentioned above, Netflix is a notable absentee from the Vision Pro. Not only is Netflix not building an app for the Vision Pro but its iPhone/iPad app won’t support VisionOS either. A Netflix spokesperson told Bloomberg, “Our members will be able to enjoy Netflix on the web browser on the Vision Pro, similar to how our members can enjoy Netflix on Macs.”
YouTube is another major service that won’t be building a dedicated app for the Vision Pro. Again, if you want to watch YouTube videos on the Vision Pro, you’ll have to access it via Safari or another web browser. The iPhone/iPad app won’t support VisionOS as well.
Spotify reportedly isn’t planning on developing an app for the Vision Pro or making its iPhone/iPad app accessible either, and Meta may be skipping the headset as well, according to reports.
And which applications will be available on the Vision Pro?
Along with Apple apps such as Apple Arcade (hundreds of games), Apple Music, Apple TV and Safari, at launch, these are a few of the third-party apps that will be available as native or compatible apps on the Vision Pro:
Adobe Lightroom (native)
Amazon Prime Video
Box (native)
Crunchyroll (native)
Discovery Plus
Disney Plus (native)
ESPN
Fantastical (native)
Fubo
Imax (native)
J.Crew (native)
JigSpace (native)
Max (native)
Microsoft 365 (Word, Excel, PowerPoint, Outlook and more) (native)
MindNode (native)
MLB (native)
Mubi (native)
Navi (native)
NBA (native)
Night Sky (native)
Numerics (native)
Paramount Plus
Peacock
PGA Tour Vision (native)
Pluto TV
Red Bull TV (native)
Slack (native)
TikTok (native)
Tubi
Zoom (native)
Wayfair (native)
Webex (native)
Zillow Immerse (native)
This is obviously not a complete list, considering there are over a million apps that will work on the Vision Pro. And even if your app doesn’t work with the Vision Pro, like Netflix, you can still access it through Safari or another web browser.
That tape over your webcam might not be enough — the hackers are watching; it might be the right time to install another privacy shutter.
In a report just published in Science Advances, researchers at the Massachusetts Institute of Technology (MIT) emphasized the risks to imaging privacy that ambient light sensors can offer. Users of devices worried about security may find solace in software permissions that limit webcam use and hardware solutions like shutters. Nonetheless, studies have demonstrated that one of the typical ambient light sensors used in a variety of devices can be used to collect visual data. These tiny sensors are normally permission-free on a device level and aren’t closed or deactivated by users.
MIT researchers utilized the Samsung Galaxy View 2 in their investigations. The ambient light sensor on this relatively dated and huge (17.3-inch) consumer tablet is located close to the front-facing (selfie) camera — which is still a pretty popular arrangement.
Manufacturers of devices classify ambient light sensors as low-risk since software (or malware) may frequently access them directly without requiring any authorization or privileges. However, prior research has demonstrated that in roughly 80% of cases — even a basic sensor can yield sufficient information to deduce keystrokes from a keyboard and steal a device’s authorizations and passwords. The latest study demonstrates the potential of an ambient light sensor in conjunction with the device’s screen, which serves as an active light source.
Some devices are more susceptible to these ambient light sensor espionage techniques.
Some devices will be more susceptible to this ambient light sensor espionage technique than others because every device has a different light sensor speed and measurement bit depth, screen brightness, and light sensor precision (see image above). As you can see from the source article numbers, some of the tablet device’s image captures took several minutes. However, ambient light sensor imaging spy technology is verifiably accurate and has room for improvement.
The MIT researchers pointed out that the light sensors are “quite useful,” and we need and want them. The MIT researchers said to adjust the following to stop your peeping-cyber-toms.
Reposition the sensor so it doesn’t face the user.
Hopefully, when manufacturers become better aware of the ambient light sensor issues, they will implement a few changes to prevent the “snooping tech” from finding more victims.
Deanna is an editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind, Editor in Chief for Calendar, editor at Entrepreneur media, and has over 20+ years of experience in content management and content development.
During my time with Apple Vision Pro, I sat in the studio with Alicia Keys during a private rehearsal, carefully approached a dinosaur and watched movies in Avengers Tower. But what’s stuck with me isn’t these immersive experiences — it’s the fact that Apple has made using a VR headset feel as intuitive as swiping around your iPhone. And while that alone might not be worth $3,500, it certainly has me intrigued at the potential of this fancy set of goggles.
Apple’s much-hyped “spatial computing” headset has plenty of exciting capabilities, from putting you in a virtual, customizable movie theater to doubling as a full-on computer that lets you get work done, browse the web and use familiar Apple apps in new and engrossing ways. There’s not much of a learning curve either; navigating this device is often as simple as looking around and pinching your fingers.
But does all of that warrant its staggering price? And out of the folks who do have that kind of cash to spend, who should actually buy one? Here’s my attempt at answering those questions after some brief hands-on time with Apple’s long-awaited headset.
Available starting Feb. 2, the Apple Vision Pro is an immersive “spatial computing” headset that lets you watch movies, play games, get work done and use your go-to Apple apps in a whole new way.
Apple Vision Pro may be a new type of product from the company, but the process of using one will feel pretty familiar to anyone already deep in the Apple ecosystem. Before I put the headset on, I used an iPhone to scan my face to ensure the experience was properly personalized — just like you do when setting up Face ID on your handset.
It was then time to sit down and strap the thing on. The headset’s default medium Solo Knit band turned out to be too big for me, so I simply popped it off and swapped in a small option that fit much better. The straps attach and detach with an easy magnetic snap, not all too different than swapping out Apple Watch bands. I used the onboard dial to tighten the band a bit further for a snug fit, pressed the headset’s Digital Crown button and felt the internal lenses automatically close in on my eyes. Then, it was time to play.
Apple
The Vision Pro’s home screen is likewise familiar: a floating array of apps like Photos, Safari, Apple TV and Music that look exactly like they do on your iPhone or iPad. Except instead of swiping around a touchscreen, you’re navigating with your eyes.
By far, this is what impressed me most about Apple’s headset — your eyes are effectively the mouse cursor, and anything you look at will instantly be highlighted and ready to be selected with a quick pinch of your finger. There was something surreal about smoothly bouncing between Apple TV’s various options just by moving my eyeballs, and aside from a few minor hiccups, using gesture controls to open apps, resize and arrange multiple windows and zoom into the finer details of my photo library all felt smooth and intuitive. I’ve experienced solid eye tracking on VR headsets like the Meta Quest Pro and PlayStation VR, but Apple’s implementation provides the most frictionless controller-free navigation I’ve ever seen.
Mike Andronico/CNN Underscored
Thanks to the Vision Pro’s outward-pointing cameras, I could easily see and interact with the Apple reps in front of me while bouncing between apps. It’s similar to the Meta Quest 3’s passthrough capabilities, but everything looked a bit sharper. You don’t have to stay in the real world while on the home screen, though; the Digital Crown lets you finely adjust how much of your chosen virtual environment (such as the serene views from Haleakala I selected) seeps through. This is a nice edge over the Quest 3, which only lets you choose between full immersion and full passthrough.
As for how Vision Pro feels to wear? I’ll have to get my own unit to see how it holds up over prolonged use, but I found Apple’s headset to be fairly comfortable during my roughly 25-minute demo — at least in terms of weight. I did have an issue with the lenses, which pinched my nose a little too tightly during the initial setup process and stayed that way throughout my session. Thankfully, an Apple rep noted that you can manually adjust the lens distance in the settings menu, and that there will be multiple eye insert options you can switch between to find a comfortable fit.
Related articleThe 7 best Apple Vision Pro accessories to check out for your new headset
Immersive apps with some serious potential
Apple
The content I tried out on Apple Vision Pro largely fell into two categories: new, immersive versions of things you can already do on your other Apple devices, and a few custom-made experiences that have me intrigued about the potential of this powerful and pricey headset.
I started out by flipping through the headset’s Photos library, where you can see your pictures and videos in ways that a static screen simply doesn’t allow for. Zooming into a series of portraits shot on an iPhone 15 Pro revealed much more detail than I’d be able to see on just my phone, as I could easily make out the very fine patterning of a woman’s dress. Looking through panoramic photos reminded me of being inside the mind-boggling venue of The Sphere in Las Vegas, as my entire peripheral vision was suddenly immersed in these beautiful wide-screen nature shots.
Then there’s Spatial Photo and Video, which Apple is pushing as one of Vision Pro’s key selling points. These 3D photos and videos can be captured on your iPhone 15 Pro or directly on your headset, then played back on your Vision Pro to let you relive a cool memory in virtual reality. It certainly was neat — a photo of kids eating cake had lots of depth to it, and when one of them blew bubbles in a video, it looked as if the bubbles were coming toward me. I watched one spatial video recorded at a family’s dinner table, and it almost made me feel like I was there with them. The overall quality of Spatial Photo and Video is impressive but not quite so good that I forgot I was watching a video rather than actually reliving a memory.
Apple Vision Pro is perhaps best suited as an immersive movie-watching device, at least if my short time in the headset is any indication. The Apple TV app provides a wealth of engrossing viewing options, many of which effectively let you block out the real world and enjoy your own personalized movie theatre or stream your favourite shows while in the virtual wilderness. I was especially impressed by the multiple “seating” options (such as “front row” or “balcony”) that I was able to switch between while watching Avatar: The Way of Water in 3D at a crisp-looking 4K resolution.
I also checked out a few three-dimensional Apple Immersive Videos shot specifically for Vision Pro. These were neat; I had front row seats to an Alicia Keys jam session, got a bit unnerved watching a tightrope walker at the top of a mountain and smiled as a bloat of baby hippos practically ran into me. However, these weren’t true 360-degree videos, and the large black borders I noticed whenever I moved my head around took me out of the experience a bit.
Apple
But the real magic happened when I opened up Disney+. My real-world surroundings washed away, and I was suddenly watching movies while overlooking the New York City skyline from Avengers Tower. Needless to say, I geeked out. This virtual environment — one of several available in Disney’s streaming app — was painstakingly detailed to please nerds like me, as I looked around in full 360 degrees to notice things like Doctor Strange’s cape hanging in a corner or some leftover takeout shawarma sitting on a table to my right. These backgrounds are also dynamic; when I transported myself to Tatooine and played a trailer for “A New Hope,” the scene around me automatically shifted from day to night to help me get better immersed in the movie. This felt like an experience truly built for Vision Pro rather than just an iOS app blown up on a big virtual screen, and I hope to see more like it as developers invent for the headset over time.
Another highlight was the Mindfulness app, in which a calming narrator encouraged me to slow down and relax as the real world slowly faded away into a serene darkness where I was surrounded by colourful dots. It was a short session but still very soothing, and much needed after a full day of hustling around the city.
The rest of my demos were a standard mix of Apple stuff and familiar augmented reality experiences. As a taste of the Vision Pro’s enterprise chops, the JigSpace app let me virtually explore, manipulate and take apart an Alfa Romeo vehicle, which I was able to make as small as a toy car or as big as the real thing using simple hand gestures. An app called Explore Dinosaurs thrust me into a mixed-reality wilderness where a virtual butterfly managed to spot and land on my real finger, and where a dinosaur tracked and reacted to my movements as I walked around the room. I got a little spooked when it got right up in my face, which means it worked.
Then there’s the basic Apple functionality. Multitasking between apps and scrolling through the CNN Underscored homepage on Safari felt smooth and intuitive, and I was able to type on a fairly reliable virtual keyboard that felt comparable to the one on the Meta Quest 3. But typing on a virtual keyboard is never ideal, which is why I was pleased to see that you can use voice dictation in Safari by simply looking at the microphone icon at the top of the browser. Oh, and Apple’s own hardware — such as its mice and keyboards — is also supported. This headset packs the same Apple M2 chip you’ll find in many of the best MacBooks, so it’s no surprise that juggling and rearranging multiple apps felt instant and stutter-free.
Some uncanny concerns
Mike Andronico/CNN Underscored
I had a good time inside of the Apple Vision Pro, but a few concerns came to mind after I watched another person use the headset. After my demo, I was taken to a room where someone was working with a Vision Pro on (complete with a Magic Keyboard and Magic Trackpad) in order to simulate how you might interact with someone wearing the goggles in an office. Due to the headset’s ability to create a virtual representation of your face, which Apple calls Persona, I was actually able to see this person’s eye movements and expressions through the front of the headset — or at least an uncanny digitized version of them. While I could indeed make out every blink and raised eye this person made, it was all just slightly off in a creepy, “Black Mirror” kind of way. For what it’s worth, you can use the Digital Crown to adjust how visible your “eyes” are through the headset — the idea being that you’ll make things fully opaque to indicate you’re going heads down and clear when you’re able to talk.
Apple also showed off what taking photos and videos looks like to the person on the other end; a quick white flash for the former and a prolonged pulse for the latter. You’ll also hear the standard iPhone shutter sound when someone takes a picture. Unlike the flash, this sound can be disabled (much like it can on an iPhone). I find this to be a slight privacy concern for folks who are unaware that they’re being photographed, but it is in line with devices that have similar functionality, such as the Ray-Ban Meta smart glasses.
The takeaway
Mike Andronico/CNN Underscored
I came away from my Apple Vision Pro demo impressed and intrigued, but I still have plenty of questions and concerns. Here’s what I do know: Apple has successfully made a mixed-reality headset that’s nearly as intuitive to use as an iPhone or a Mac, all without any cumbersome controllers or unreliable gesture tracking (like with Meta’s headsets) to get in your way. If nothing else, that lays the groundwork for how great the Vision Pro could be after a few iterations, and hopefully a lower price.
Its $3,500 cost alone will likely be prohibitive for many, though this is a device that can ostensibly function as your 4K TV and your computer — two types of products that can easily run you thousands of dollars on their own. The question is, are you willing to have your TV and your computer strapped to your face, with device-specific quirks and limited battery life? Unless you’re an avid Apple enthusiast with an unlimited budget, it’s hard to imagine who might fall into that camp.
I also have questions around fitness and gaming — two things I use my Meta Quest 3 for almost daily. Aside from Super Fruit Ninja, I haven’t seen many titles that look to take advantage of Vision Pro’s powerful ability to bring virtual games into your real-world living space. And as an avid Supernatural user, the Vision Pro doesn’t seem to have comparable apps that’ll get me excited to work out (no offense to the Apple Fitness+ trainers).
It’s for these reasons that I’m especially eager to truly live with the Vision Pro for a few weeks and see if it’ll truly become part of my daily routine or just a fun, expensive toy to use when I want to return to Avengers Tower. We’ll have a lot more to say on Apple’s new headset once we receive one, so stay tuned for more.
Feature Image Credit: Mike Andronico/CNN Underscored
A Consumer Reports study found that thousands of companies contribute to Facebook’s data stores on each person.
Facebook gets data on individual users from many thousands of companies, and a new study (PDF) from Consumer Reports tried to put more exact numbers on it.
Researchers found that, on average, Facebook received data from 2,230 different companies for each of the 709 volunteers. One extreme example showed that “nearly 48,000 different companies were found in the data of a single volunteer.” In total, Facebook data archives showed that 186,892 companies had provided data on all of the study’s participants.
Volunteers recruited with help from The Markup pulled their personal data from Facebook using its Download Your Information tool and shared it with the researchers.
Image: Consumer Reports
Companies using Meta’s advertising platform upload customers’ personal information and buying habits, which Meta uses to serve targeted ads to those people or people with similar profiles. The researchers believed that the ease of “microtargeting” campaigns to specific user data accounted for the fact that 96,000 of the companies listed were only targeting one of the volunteers.
Ninety-six percent of the study participants’ archives contained information shared by a data broker called LiveRamp, but it wasn’t all data brokers. Large retailers like The Home Depot, Walmart, or Amazon showed up, too, while other smaller businesses were “surprisingly well represented,” such as a car dealership in a 24,665-person town in Texas that covered 10 percent of the study’s volunteers on its own.
Most couldn’t be identified, though, as they used nonsense combinations of characters like “Bm 5 100tkqc nlm” or generic names like “Viking.” But the name doesn’t really matter, does it? Acxiom, the number two data broker that appeared in the study’s data, says it can reach “over 2.5 billion of the world’s marketable consumers” and boasts about its “ability to build a complete view of the consumer for improved consumer recognition.”
We’ve all heard someone say our smartphones are listening to us, and that must be how they know which ads to show us. The truth is, companies aren’t just sitting around waiting for us to talk about jeans — they already know we want the jeans, what size we wear, which brands we like, and roughly what time of year we usually start buying them.
Correction January 20th, 12:30PM ET: This story previously said Acxiom owns LiveRamp. While Acxiom did purchase LiveRamp in 2014, it later adopted the LiveRamp name and sold Acxiom Marketing Solutions in 2018. We regret the error.
Feature Image Credit: Illustration by Nick Barclay / The Verge
As a comms leader at Activision Blizzard, Claire Nance tracks all the trends obsessing marketers. She explains why the next big thing isn’t always the best.
Our industry loves a good story. And so it should. Marketers are, after all, storytellers themselves.
But look at the industry’s big stories or trends from the last few years, and you quickly see a pattern emerge, one that places greater emphasis on latching on to ‘the next big thing’ without a longer-term view to real-world implementation or impact.
In 2022, it was the metaverse. Barely did an earnings call or marketing strategy presentation went by without the ‘m’ word being hastily inserted. There was (and still remains) pervasive confusion around what actually constitutes the metaverse, but that didn’t stop the rush to proclaim the launch of marketing campaigns in the ‘metaverse’ and the flood of metaverse-related categories at industry events and award programs.
In many cases, these activations were within virtual gaming and social platforms, legitimate growing areas of opportunity and interest for marketers that became wrapped up by the desire to be part of the buzz and hype around the industry’s trend of the moment.
The result was that the industry conversation skipped a few steps in understanding audience behavior in virtual spaces to unlock the real impact these experiences can have both now and in the future. The story was instead focused on the latest brand to activate in ‘the metaverse’ without contextualizing it within the current technological landscape and paying little attention to results, impact or objectives.
In 2023, it happened again. And yes, I’m talking about AI. Witnessing the abrupt shift from metaverse to AI across industry headlines, events and areas of expertise this year has been simultaneously amusing and dispiriting. Once again, the priority has been to jump on to the big story of the year and ride the buzz while overshadowing the real potential AI technology offers. Such was the attention given to AI this year that the term became a proxy for technology that involved even basic levels of automation or machine learning (both of which existed before the 2023 AI hype bubble), missing the opportunity for education around what it actually is and thus how marketers should be thinking about it into the future.
It’s easy to identify the similarities between the metaverse and AI and, thus, why they became the prime marketing story in their respective years. They’re both new forms of technology that are conceptually easy to understand yet inherently complex.
They present a level of accessibility and familiarity that makes it easy for them to be inserted into existing industry conversations while also occupying a high degree of technological sophistication that makes them feel exciting and advanced. The other important component of the narrative arc was that both the metaverse and AI gained prominence after major tech industry announcements – Facebook’s name change to Meta in the case of the metaverse and the launch of ChatGPT in the case of AI.
The speed and ferocity at which both the metaverse and AI became the dominant stories for marketing and advertising exposes our industry’s penchant for chasing the next big thing. There is an at-times outsized focus on ‘newness’ and being first regarding how we think about innovation in marketing, which can lead to the scenarios above, where one idea or technology dominates the year until the next ‘next big thing’ comes along. The result of this is not only that focus remains firmly in one direction, leading to an abundance of retrofitting ideas and technology to align with the newest obsession, but also that other forms of innovation that do not fit quite so neatly into the popular industry discourse can be overlooked.
As we sit at the cusp of 2024, how quickly will we see AI discarded for the next technological advancement, as we saw with the metaverse at the start of 2023? Or is there instead an opportunity to rethink how we think about innovation within marketing and the stories we tell ourselves?
As an industry, we consistently speak to the importance of identifying objectives and goals upfront, yet that may be forgotten when it comes to new technologies and ideas. Innovation, for innovation’s sake, serves little purpose, and the same can be said for innovation driven primarily by industry hype. The focus should be on outcomes, impact and exploration, rather than a need to follow the noise. After all, innovation aims to find a better way of doing things to achieve the desired results, irrespective of whether it can be attached to the current industry buzzword.
Future technologies are exciting, but without fully understanding them, it’s easy to miss areas of real potential. The appeal of the metaverse and AI was that they were easy concepts to grasp but spoke to a technologically advanced future, creating the potential to ‘skip ahead’ in the conversation around them. Understanding these technologies better as they exist today allows for more advanced innovation and execution tomorrow. But this can be easy to overlook when the intent is speed over evaluation.
None of this is to discount the potential impact of future technologies on our industry, nor the need for us to be talking about them. But there is an opportunity for the discourse around them to be smarter. As we look ahead to next year’s industry predictions, mine might somewhat optimistically be that how we talk and think about innovation evolves and that we don’t need another ‘next big thing’ to shape how we think about the future.
Learn all about this popular chatbot without spending anything.
Anyone who has used ChatGPT will know all about its enormous potential, but knowing about this chatbot doesn’t mean you’ll know how to really squeeze everything you can out of it. That’s where an online course could really help.
Fortunately, platforms like Udemy are offering a wide range of free online courses on ChatGPT. We’ve checked everything out and lined up a standout selection of free courses to kickstart your learning journey. We’re nice like that.
These are the best online ChatGPT courses you can take for free this month:
These free online courses do not include certificates of completion or direct instructor messaging, but that’s the only catch. You still get unrestricted access to all the video content, so you can learn at your own pace.
TL;DR: Find the best free online ChatGPT courses on Udemy. Learn how to make the most of ChatGPT without spending anything.
All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.
Some people consistently earn hundreds of likes and comments on each of their posts, and their audiences have helped them achieve financial freedom and security.
However, they all started with no network and zero followers.
So what actions did they take to achieve this success?
In this post, I’ll share 15 outstanding personal branding examples and break down their strategies to build successful personal brands so you can use the same process to achieve similar results.
3 Things All Strong Personal Brands Have In Common
As I analysed these individuals with strong personal brands, I noticed that all their strategies have three key things in common.
While there are many ways to build a personal brand, implementing these three commonalities into your personal branding strategy will significantly increase your likelihood of success.
Consistency
Every person on this list posted content consistently for an extended period of time (i.e., posted content 2-5 times per week for several years).
A consistent publishing schedule is essential to build your personal brand for a few different reasons:
It takes time to find your own brand identity and voice.
It takes time to build trust and a genuine relationship with your target audience.
It takes time to find audience-content fit (i.e., content that your audience likes and that you enjoy creating).
Therefore, even if you don’t think your initial content is very good, publish it to start gathering data and figure out what you enjoy creating and what resonates with your audience. You’ll also get better at creating content by publishing more.
Target A Single Niche
Another commonality I noticed among these individuals with great personal brands is that they all focus on a specific niche.
A key mistake many creators make is discussing too many different topics or expanding into other niches. While it may be boring to talk about one specific niche, the reality is that your audience probably follows you because they enjoy learning about that specific topic you cover.
For example, if you talk about digital marketing, NFTs, and solopreneurship, there’s a good chance that the people interested in digital marketing won’t be interested in your NFT content. As a result, you’ll find it difficult to build a loyal audience that loves all of your content.
Additionally, most people are only experts on one topic, so choose the niche you feel you know best.
However, if you want to post content related to your personal life and growth, this content can make you more relatable and strengthen your relationship with your audience.
As a general rule, make about 80% of your posts related to a specific topic, and then the other 20% of posts can be about your personal life or interests.
Share Real Experiences
Many readers don’t enjoy blog posts written primarily for SEO because these posts often lack personal experience. In fact, many people now turn to ChatGPT for strictly factual information.
Sharing your personal experiences makes your content more relatable as your audience is likely facing challenges you’ve also faced, and they’d love to hear someone else’s perspective on how they approached and solved that problem.
Bonus: Choose A Primary Platform
Most large influencers today began by publishing content on just one platform.
Over time, many of them branched out to different content formats, but at that point, they usually had teams behind them to assist with content repurposing. If you’re beginning your personal branding journey and don’t have a team to help you repurpose your content, focus on just one platform.
Brett Williams is a designer who makes over $100,000 per month with his one-man design agency, DesignJoy, and $50,000 per month from a course on productizing service businesses.
Nearly all of his customers for both businesses come from his 70,000 followers on Twitter.
To grow his audience, Brett followed all of the best practice advice, like posting consistently, owning a specific niche, and sharing his authentic experience. However, he also shared a lot of revenue numbers.
Here’s just one example of the transparency he regularly shares around revenue numbers.
He is also a solopreneur, which is currently a trending topic.
So the combination of real revenue numbers around a trending topic helped him quickly build a large audience.
Codie Sanchez has built a strong personal brand in the entrepreneurship category. Specifically, she has established herself as an expert on buying boring businesses and has helped make that niche a trend.
Before focusing on building her personal brand, she had already built a portfolio of “boring” brick-and-mortar businesses. So when Cody decided to double down on building her social media presence, she already had capital to deploy and hired social media experts to help her repurpose the content across YouTube, Twitter, LinkedIn, and even a newsletter.
Today, she uses her audience as lead generation for her portfolio of businesses, and she also has a course that helps students identify and buy great “boring” businesses.
The key to her growth on social media likely comes down to a few things:
She hires experts. She hired people like ex-YouTuber Jamie Rawsthorne to help her grow her YouTube channel, and she also hired people to help build her social media profiles. These experts already understand the nuances of how each algorithm works, making it easier to optimize the content for each platform and grow faster.
She has unique experiences and shares them through excellent storytelling. Few people have worked on Wall Street and then built a portfolio of boring businesses, like car washes and laundromats. This experience gives her content unique context, which makes it more interesting.
She had a strong personal network. While she was in the trenches building these businesses, she also built a strong network. Therefore, when she decided to double down on building her online presence, she already had a leg up. So meet more people in real life and build genuine connections by attending conferences, hosting your own events, or sparking thoughtful conversations in the comments on other people’s social media posts.
Chris Do is a designer and the CEO of The Futur, an online education platform whose mission statement is to teach 1 billion people how to make a living doing what they love.
Today, Chris has a strong online presence across multiple platforms, but his primary growth channel is Instagram.
He outlines the approach he used to grow to nearly one million organic Instagram followers in this video:
As you’ll hear in the video, Chris’s main strategy to grow his Instagram following was transforming his existing keynote presentations into fun, engaging carousels.
This arsenal of content made it easy for him to post consistently, because he just had to reformat it into carousels. Additionally, he had already tested these keynotes with live audiences and knew what did and did not resonate with them.
The main takeaway is to look at the content you already have that has resonated with your audience and then repurpose it into engaging content formatted for that platform.
Chase Dimond has built a strong follower base on LinkedIn, and there are a few key reasons why he’s been successful.
First, he positioned himself in a very specific niche. Rather than trying to compete in the larger marketing consultant niche, he established himself as an email marketing expert for ecommerce companies.
In fact, if you look at his LinkedIn profile, he has sent over a billion emails for ecommerce companies that have collectively generated over $150 million in attributed revenue.
As a result, any ecommerce owner struggling with email marketing will immediately identify him as a specialized expert who can solve their specific problem.
He also publishes daily on LinkedIn, and you can tell that his posts are very visual. In fact, rather than typing out text-based content, he just uses screenshots from Twitter. This helps the text jump out at scrollers and capture their attention.
Jon Youshaei is an ex-YouTube employee who left his job to build his own YouTube channel.
Today, he is a well-respected thought leader and has interviewed YouTube experts like MrBeast, Danny Duncan, and many other creators.
While Jon publishes fairly regularly, he publishes less often than some other creators on this list.
Instead, his fast growth is mainly due to the outstanding guests he has on his podcast.
If you want to grow your personal brand faster, consider collaborating with other influencers in your industry. Jon already had some connections from his time as an employee at YouTube, but you can always start by interviewing smaller influencers and then work your way up.
Ideally, target influencers that also share content they participate in creating, as that will help your content earn more reach.
Jon also puts a lot of effort into editing the podcast videos to make them more entertaining than a traditional conversation. If you plan to do content collaborations with other influencers, think about how you can make your interviews unique and entertaining.
Romana Hoekstra is a SaaS marketer who quickly built an impressive audience on LinkedIn.
While many of the creators on this list are founders of multi-million dollar businesses, Romana is a great example of a freelancer who has built a strong personal brand. So even if you don’t have a stack of impressive accolades, like a multi-million dollar exit, you can still establish yourself as an expert by niching down and consistently creating visually attractive and actionable content.
She was even named a top content marketing voice:
About 80% of her content is focused on content marketing for SaaS companies and the other 20% is related to her personal life, making her a relatable and interesting creator.
Romana also puts a lot of effort into creating visually appealing graphics.
Regardless of the social media channel you’re posting your content on, think about how you can make it more engaging and fun for people to consume.
Elena Verna is the Head of Growth at Dropbox and has mastered the art of balancing entertaining content, like memes, with thought-provoking ideas that interest other high-level executives.
Here’s just one example of a meme she shared recently that is funny to her target audience:
However, she also frequently posts thought-provoking, original content like this post:
While Elena certainly has an advantage as an executive at a major company, anyone can use her strategy of mixing memes with thought-provoking leadership content.
You’ll also notice that a lot of her content is observational. For example, rather than telling you her opinion, she shows you an interesting fact and then offers her analysis.
This is another great example of her “observational” style content:
If you don’t have anything interesting to share and are looking for content ideas, identify patterns and share them with your audience. Then, you can provide your observation on it.
Alex Hormozi’s personal brand blew up seemingly overnight.
He grew from just 180,000 to 1.2 million followers in just six months, and two main factors allowed him to achieve such rapid growth in such a short period.
First, he had already built several eight-figure businesses, so he had very unique (and valuable) personal experiences to share. Even if you don’t have experience building multiple eight-figure businesses, you can still create equally interesting content by either interviewing these experts or taking their advice, implementing it, and then documenting your results.
However, he also credits his rapid growth to his content repurposing strategy. He was originally only producing seven pieces of content per week, but his growth took off when he increased his content output to 80 pieces per week.
The best part is that he didn’t even increase the amount of content he created. Instead, he simply hired people to repurpose the content he was already producing across more platforms.
Justin Welsh has established himself as one of the most prominent solopreneurs on social media and has over 450,000 followers on Twitter and over 500,000 followers on LinkedIn.
He was previously an executive at a successful startup, and after getting burned out, he eventually built his own personal brand.
Justin revealed that he relies heavily on content repurposing and publishing workflows, as he believes consistency is essential for building a personal brand.
Here, he shows that he posted the same piece of content 12 days apart, and you can tell it performed very well both times.
Using templates prevents you from starting from scratch each time you create a piece of content, and you feel intimidated staring at a blank screen.
The key to building a strong personal brand really comes down to consistency, so consider creating content templates to make it easier to create content. This way, you won’t waste time staring at a blank screen as you won’t have to start from scratch each time you create a piece of content.
Jay Clouse quit his job to become a full-time creator and has grown his social media following to over 35,000 followers on LinkedIn and over 40,000 followers on Twitter.
He is also a top voice on LinkedIn and earns over $50,000 per month as a solo creator.
He recently revealed exactly how he would focus on building an audience in 2024, and here’s the step-by-step process he recommends:
Choose one word or catchphrase to be associated with. For example, Nick Huber is known for “sweaty startups,” whereas James Clear is known for building small habits.
Create a free email course. An email course will help you build a deeper relationship with your readers, and unlike on social media, where you depend on an algorithm to show them content, you own the audience. Email subscribers have also permitted you to be in their inbox, so you’ll probably have a deeper relationship with them.
Choose a discovery platform. Similar to the advice I mentioned at the beginning of this post, Jay recommends that you double down on one platform (YouTube, Twitter, etc.).
Design your social media profile to align with your premise. Whatever you choose to be known for, optimize your tagline and personal brand statement to speak to your target audience. The most effective personal brand statements are clear, concise, and make it obvious what kind of value you provide.
Study, study, study. Whatever you choose to be known for, aim to become an expert on that topic so you provide the most helpful advice possible.
You can read his full step-by-step guide on building a personal brand, but those are the main steps to get started.
Jay also does interview-based videos with top creators, and leveraging their audiences has helped accelerate his growth. He is also a master at content promotion and creates mini-trailers of the interviews, which he then promotes on social media.
Ross Simmonds has over 65,000 followers on Twitter and is known as an influencer in SaaS marketing.
He has an impressive content publishing frequency and Tweets several times per day, and he revealed in the post below that he also relies heavily on content repurposing and republishing.
Most of his posts include helpful tips SaaS companies can use to improve their marketing strategies, but he also includes the occasional personal/philosophical post to keep his content relatable and personal.
Ross also creates many different types of social media content. For example, while most people only post text-based Tweets, Ross frequently posts graphics and even video content on Twitter.
If video content is your primary content format, you can easily repurpose them into short clips or even hire a copywriter to repurpose snippets of it into written content formats.
Unlike other influencers on this list, Noah Kagan has steadily built his personal brand over the past decade and didn’t use a single platform to build his audience.
Instead, he hosted in-person events, attended conferences, and made a real effort to build personal connections with people in real life.
As many of these people he met levelled up in their careers, these personal relationships have helped him grow on social media. For example, he recently launched a book and is well on his way to becoming a bestselling author, as his friends all pitched in to help promote it.
The main takeaway you can learn from Noah is that sometimes the best way to grow an audience is to meet people in real life, provide value, and cheer for them when they win.
He has also consistently posted content on his podcast, YouTube channel, and social media accounts for over a decade, so have a long-term mindset as you build your personal brand.
Nick Huber has risen to Twitter fame thanks to his unique niche (storage sheds) and the occasional controversial and/or uncomfortable statement.
Unlike most tech entrepreneurs, he stands out as a down-to-earth, country person, which makes him unique and fits his brand nicely.
Think about your unique interests and hobbies and then weave them into your content marketing strategy.
If you don’t feel that you fit in with the traditional tech entrepreneur mold, embrace your unique characteristics, because they will actually help you stand out.
Kevin Espiritu runs the largest YouTube channel on gardening. He began as a blogger and eventually transitioned to YouTube as his primary platform.
After switching to YouTube, he became the face of the channel and eventually began building his personal brand in the broader entrepreneur community.
Today, he regularly shares content on Twitter about his experience as a top player in the creator economy.
However, unlike many other solopreneurs and influencers on this list, Kevin doesn’t have a specific content framework or strategy for his personal brand. He purposefully writes on his Twitter biography that his Tweets are mainly notes to himself.
If you’re struggling to think of content ideas, write about anything you’ve recently discovered that you find interesting. If you find something interesting, there’s a good chance other people will also find it interesting, and as a result, you’ll grow a following.
Alex Lieberman is a co-founder of the popular newsletter Morning Brew. Yet today, he’s best known as a content creator and regularly creates content around entrepreneurship, the creator economy, and business ideas.
A key reason Alex is such a successful content creator is that he’s great at sharing his personal struggles and experiences.
For example, he openly shared about his failure with a backyard game he began after leaving Morning Brew.
If you’re posting primarily instructional content, think about how you can post more experiential-style content so that you seem more relatable.
Start Building Your Personal Brand Today
As you can see, there are many different ways to build a personal brand, but finding your niche and voice can be challenging.
To help you navigate the challenge of personal branding, we created the Copyblogger Academy, a community of solopreneurs and content creators building personal brands. You’ll also have access to courses on personal branding and direct feedback from the team behind Copyblogger and top personal branding experts.
If you want to invest in yourself and take your first step towards financial freedom, try the Copyblogger Academy today.
Here’s how to pivot your career into AI and how your existing skills can help open doors in the booming AI field.
Since I’ve been covering the new boom in AI, I’ve been getting reader letters asking how to grow into that industry. This letter from Rick is representative of many of them:
I’m trying to transition from my industry of life science to big tech. I want to continue to learn more about AI and its applications, with the focus on becoming a product manager who can showcase knowledge and use cases for it.
Do you have any suggestions for an experienced product manager, with very little machine learning experience, starting out on what to learn in the AI/ML space to become marketable? I’m going to start by taking the free courses from IBM as you mentioned. I would love to work with engineering and development teams on crafting products utilizing these technologies specifically.
What stands out about Rick’s letter is that he’s experienced as a product manager, but his field is life sciences rather than traditional tech. This experience is important, because he does have skills that can transfer into other fields.
I also receive letters from readers who don’t mention experience or pre-existing skills, but just see that prompt engineers are raking in the big bucks and want to be part of the windfall. I mention this, because a lot of less experienced folks see stories about app developers making millions or prompt engineers making six-figure incomes and think that just one course, or just wanting it hard enough, will get them the gig.
Back when I taught entry-level programming, about half my students wanted to program. The other half wanted programming jobs because they paid well. Unfortunately, that second set of students weren’t all that willing to apply themselves to the craft. They just thought that the mere fact that they took a course in programming would get them a job. And it might have. But without demonstrable skills, that job wouldn’t have lasted more than a few weeks.
My point here is that you have to be willing to do the work, and you also have to be able to bring something to the job. Rick seems willing to do the work, and he has skills he can bring to the job. Below are the five steps I’d recommend Rick — and anyone interested in pivoting to AI work — take.
1. Identify your current skills
This is important if you want to switch careers. What skills do you already have?
As a product manager, Rick undoubtedly has some people-wrangling skills. Product managers have often been described as CEOs without the authority or the pay. That’s because they need to manage and cajole people from multiple disciplines and departments.
He probably has some serious writing skills. Writing a product requirements spec is not a trivial task.
Depending on what kind of product manager he is, he might also have marketing communications skills. By this, I mean the ability to write promotional copy describing his products for prospects, not just the implementation teams.
As an experienced product manager, he probably also has strong project management skills, strong organization skills, and some level of product knowledge (in his case, for life science-related offerings).
2. Identify skills that might transfer
Rick might not be aware of this, but he has skills that are particularly well-suited to the world of AI. Prompt engineering (the writing of instructions for generative AI tools) is much more about structuring requests in natural language than it is about writing code.
If a product manager can do anything, it’s writing clearly articulated specifications that take into account known constraints. That’s already very close to prompt engineering. He’ll have to learn the particular nuances of prompt engineering and how to battle those constraints, but he’s in the perfect place to move into that role.
He also understands development teams, projects, and the product management process, which is as important to tech companies as it is to life science businesses.
What about if you’re not a product manager? What skills do you have that might transfer?
Back in the old days of AI, expert systems were built by modelling specific expertise of subject matter experts. But today’s large language models pull information from vast tracts of information, often straight off the internet. If you have a domain-specific expertise that’s valuable, say medical knowledge or petroleum modelling, or even how a house is constructed, that knowledge may be valuable to AI companies trying to break into those industries.
Don’t assume that knowledge needs to be high-tech or super high-end. If you’re a teacher, you have expertise in teaching and communicating knowledge, as well as the fields you teach in. If you’re a parent, you sure have experience with the real ins-and-outs of raising kids. If you have warehouse experience, go to the front of the supply chain line.
To be clear, just because you know something doesn’t mean you’re instantly going to get an AI gig in that area. But make sure you are aware of the subjects you’re strong in, and make sure you communicate those subjects as part of your transfer search.
Let’s go back to that teacher example. Teaching involves breaking down information into understandable chunks, creating lesson plans, and creating validation procedures to ensure students have learned the material. That’s very valuable in the AI process as well.
What about if you’re a good salesperson? Sales skills are perhaps the most important skills anyone can have because selling pays for our salaries. Learn about the AI business, especially the types of prospects and sales cycles. And then present yourself to an engineering-driven company desperate for sales skills. Here’s a hint: most engineers don’t have a clue how to sell.
What if you don’t have so-called professional skills? What if you’re a secretary or administrative assistant? If you’re smart, can apply yourself, and can learn, you also have an opportunity here. All companies need strong organizational skills and the ability to structure and manage projects. Do the learning tasks outlined in this article, do the resume-building tasks described at the end, and you might be able to change that title from administrative assistant to logistics manager for an AI company.
What about if you’re a coder, but not familiar with AI coding? Coding skills are hugely important. Just focus on the next section and train yourself on how your coding skills can use AI. Build a project or two. I talk about that in-depth next.
3. Train yourself
But, Rick says he doesn’t know the AI field. He doesn’t know the business of AI (all the players, how they relate, their competitive landscape). He doesn’t really know how it all works. And he’s never done any actual AI work.
The first is very easy to improve on. Read publications like ZDNET. Read voraciously about the AI industry. In fact, the very best way you can learn about a business you want to move into is to consume all the trade materials you possibly can. Read constantly. If you put in an hour of reading every day for six months, all of it centered on your desired target industry, you’ll build a strong familiarity with that industry.
Taking the free courses is also a good idea. But it’s very important not to just consume the material, but to do the exercises. The ChatGPT Prompt Engineering for Developers course offered by OpenAI (the folks who make ChatGPT) and DeepLearning (an education provider) has a hands-on simulator where you can construct prompts with code, and play with them.
The IBM course has a module where you can use IBM’s tool to do some project work. Use it and practice with it. Amazon, too, has free courses that include hands-on experience.
I’ll be spotlighting more free courses. Take them. Take as many as you possibly can. Give yourself time to really work the assignments and learn the material.
Then, get yourself a ChatGPT Plus and Midjourney account. You’ll spend about $30/mo, but you’ll have access to more powerful tools than just the free stuff. Use those tools. A lot. Experiment. Learn their limits and explore their strengths. Become comfortable with what they can do and how they fall short.
My point here is simple: make yourself knowledgeable. If you want to get a job in a field where you don’t possess the experience, expertise, or credentials, you won’t get anywhere without any of them. Fortunately, AI is a field that doesn’t require board certification or a specific terminal degree. But it does require knowing stuff.
4. Build yourself some AI resume points
By the time you’re ready to ask for a job interview, make yourself into someone who can answer those interview questions with confidence and competence. When asked, “Show me what you’ve built with AI,” have something you’re proud to show off. When asked about the future of AI, have enough knowledge to clearly articulate all the issues, opportunities, and concerns. When asked about the strengths and weaknesses of offerings by Amazon, Google, Microsoft, OpenAI, and others, know enough to be able to answer.
Another thing that will make you more attractive to hiring managers in the AI space is some experience in the AI space. Now, obviously that’s the Catch-22 that’s existed with jobs since there were jobs. Hiring managers want folks with experience, but how are you supposed to get experience without the job?
Well, here’s how: Be creative.
For someone in product marketing, there are two clear ways to add some fairly easy line items to your resume.
The first is a writing a blog or a newsletter. Starting a Substack is super easy. Write about marketing and business observations involving the AI industry. Deconstruct products and strategies of the various AI players. Even talk about your journey into learning more about AI. Use your product marketing background to provide weight to your discussion.
Now, for those of you not of the product marketing ilk, find how you can relate what you do know to AI and write about it. Experiment with the AI tools you do have and see how they might apply to your unique set of skills. Let yourself tinker, but ultimately, you want to do something you can put up on LinkedIn that has the word “AI” in it.
Speaking of that, especially for our product marketing friend Rick, find an AI Kickstarter project or a small AI startup, and offer to be a part-time advisor. You can offer services like looking over their marketing plans and offering advice or editing, or you can offer to write some marketing copy. The point is, if you don’t require payment, and put in a few hours a week, you can start relating with folks in the AI field.
Now, here’s the trick that will better help you move the job needle: Agree to do these services in return for giving you a title associated with the company. It doesn’t have to be a line title, like “marketing manager.” It can simply be “advisor.” The point is, you want to be able to legitimately list on your LinkedIn profile something like, “Advisor, Happy Valley AI Enterprises,” or something similar.
5. Give it six months
I know. Now that you’ve decided you want to transition into AI, you want the gig tomorrow. Well, pal, that’s not going to happen. But if you give yourself six months, and you work it seriously, you’ll have a pretty good chance of moving into this new field.
Put in an hour each day. Make sure you read relevant articles every day. Do some project work and tinkering in the field every few days. Make AI part of what you do. Try using AI in your current job, just to see how it can fit in.
The point here is that by the end of six months, make it so that AI isn’t this new thing you want to move into, it’s this thing that you’re already very familiar with and use as a matter of your daily activities.
That way, by the end of the six months, you’re not asking to “move into AI,” but to “use your AI skills and knowledge in the AI field.” That’ll come across as much more powerful to hiring managers.
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