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Author: Mark de Grasse

AI for Newbs It’s Not So Scary!

If you feel like you’re late to the game… stop it. Even the most “experienced” AI experts (at least from the consumer side) have only been at it for a year or two. If you’re ready to start using AI, follow these steps.

AI is one of the first modern pieces of technology that is 100% user friendly. Yes, the thought of manipulating an “intelligent” machine sounds daunting to people, but that’s simply because a lot of modern technology hasn’t been user friendly.

You’ve been taught that any significant advance will come with it’s own set of unique challenges… when we first got online with dial-up you needed to install it from a floppy disk, listen to the devil’s piano play (dial-up), and navigate a completely new environment to find information.

When cell phones came about, I remember sitting on the curb in front of my parent’s house to make a phone call (with my Nokia no less) because that’s the only place that got reception.

AI isn’t either of those. In fact, AI’s chief benefit is it’s simplicity… you just need to get started.
Use the following steps to start using AI TODAY, and realize the simple benefits it has to offer.

If you’re a beginner to AI, you can get started right now! Simply use this 3 step process to start generating both written and visual content today.

STEP 1: Use AI Instead of Search

Next time you need an answer to a basic question, use ChatGPT. For example, let’s say you want to make banana bread for the first time. You could use a search engine and get 300+ million results including a bunch of product ads you didn’t ask for, OR you can type a quick query into ChatGPT and get a succinct, commercial-free answer in seconds and save yourself a ton of time.

The best thing about “prompting AI” (the act of questioning, instructing, or inputting data into an artificial intelligence) is that you get to ask follow-up questions!

So, ask how to make banana bread, then tell it to make a grocery list of what you need, or ask for alternative recipes that leave out ingredients that you’re allergic to, or go nuts and ask for 20 different recipes with different flavors! The sky is the limit.

STEP 2: Have Some Fun

After you’ve had your first “conversation” with AI, get goofy! One of my son’s favorite road-trip pastimes is having AI write funny poems. He’s 10 years old so they usually involve a sport and the word “farts,” but that’s just one option. Use this prompt in ChatGPT and have some fun:

Write a short, funny poem about [ENTER PERSON’S NAME] and how they always [ENTER ACTIVITY] which causes problems with [ENTER PROBLEMS].

Simply replace the bracketed text with whatever you want! Read it out loud and see what your friends think :)

STEP 3: Make Your Dreams Reality

Now that you have a handle on prompting, it’s time to create visual representations of your dreams. There are many visual tools out there, but I think the easiest to start on is DALL·E.

Similar to ChatGPT, you can simply prompt what you want and it will create it for you! Test it by explaining the last crazy dream you had and see what it comes up with!

If you’re more advanced (or have a BIGGER imagination), I recommend using Midjourney.

It’s a little more complicated, but you can simply use the Midjourney Emotionally-Drive Prompt Generator linked here to help you get going!

How Will AI Impact Content Creation?

If search marketing is going to significantly change, possibly reducing the organic traffic generation potential of search engines (Google, Bing, Baidu, Yahoo, etc.), what will that mean for content?

Will there be any value in creating content beyond basic brand and product information? Should you be waiting until a machine can make everything else for you? What’s the point of content creation if there’s little chance for traffic generation?

Do You Still Need to Make Content (or Pay the People to Make it for You)?

You’re probably worried that people won’t need to make content anymore because AI could potentially do it faster, better, and more creatively than people can, but you’d be 100% wrong.

While I’m a huge AI and science fiction fan, everything AI knows is really just what we know. It aggregates content, finds patterns, and learns… but if you let it run wild it will create things that are unidentifiable and therefore unknowable, making content confusing and worthless.

Just look at the picture at the top of this page… it’s not bad, but why is there a two-headed, blurry-faced writer on top of the typewriter?

AI can create content, but it can’t create YOUR content.

Not to say that you won’t use it to help in the creation of information surrounding your company and brand, but the guidance and curation of content is still solid in human hands.

What will happen is a rapid expansion of your ability to create more content with higher quality, in mediums you may have never considered before.

To date, content marketers and marketing departments in general have been limited by their access to the people needed to make more and better content.

Known as “creatives,” your standard design-oriented marketer is harder to understand than traditional, copy- and analytical-based marketers.

They’ll advise marketing and management professionals on the stylistic elements of branding that they themselves can’t explain very well, and can’t technically justify using the same methods as paid media (that being, “spend these resources and get this much money in return”).

This confusion between creatives and marketers has made “good” content generation difficult and restricted… and that’s where AI comes in.

AI simply breaks down this barrier to communication, essentially integrating the creative and marketing processes into a single, cohesive mechanism. It doesn’t eliminate the need for creatives either, it actually supercharges their abilities.

How Creatives & Marketing Professionals Work Together Right Now

Here’s how the relationship between creatives and marketing professionals works right now…

The marketing professional creates a strategy that requires a variety of marketing methods, platforms, and advertisements. Each activity will require a myriad of creative materials, including graphics, videos, banners, webpages, animations, articles, ebooks, etc. He or she then assigns tasks to content creators and creatives to design the materials.

What happens next is a tornado of tasks, re-quests, responses, revisions, redrafts, do-overs, arguments, fist fights, accusations, firings, rehirings, reorganization, and the list goes on and on. Those last few don’t happen EVERY time, but you get the idea.

It’s a TON of work with a TON of touchpoints. It’s complicated and messy and it can take forever. It’s the reason why you hear so many stories online about the “solo guy in a basement who creates everything himself and becomes a millionaire in six months.” Way more of those stories than, “a group of grandiose marketers work together in record time to do anything.”

The solo guy won because he wasn’t distracted by outside input and literally had to create everything himself. He had no money to hire anyone or the necessary knowledge and experience to manage them very well anyways.

All he did was his best to create everything using his existing skills and minimal resources.

What this led to was a simple, consistent, cohesive campaign of concepts and creatives that all shared the same voice, narrative, and style. It arose out of necessity, not design.

That’s what the best marketing campaigns have: a singular vision executed consistently.

Does the marketing campaign have to make sense? Polar bears drinking soda on an iceberg.

Does it have to be factual in any way? When you’re REALLY hungry, you should eat a chocolate bar with some peanuts in it.

Do you have to deliver on your promises? Any insurance provider claiming that “customer service” is what they really shine at (e.g. all of them).

No, it’s just a dumb little “something” repeated 5 million times. That’s what works in marketing.

So, if all Mr. Basement Millionare did was execute a simple vision consistently, why can’t entire teams of people do even better, especially when they have more money, time, personnel, directions, connections, experience, etc.?

They can’t because there are too many touch-points in the process. Too much coordination. Too much input. Too much ego. Too many objectives are made by too many people, each with their own reasons for making the decisions that they’re responsible for making.

What if there wasn’t an entire team working in marketing? What if it was just one person’s vision? The only way to achieve the Basement Millionaire-affect is to be (or employ) one Basement Millionaire responsible for executing one vision.

Does that mean that marketing should ideally be executed by a single person? The short answer is: yes. The longer answer is that it will de- pend on the size of the company and the scale of the project.

The best art is created by the artist who is the closest to their medium. It’s the clearest communication one person can give to another when it comes to an envisioned image/feeling/ experience. The right art, viewed by the right viewer, at the right time provides an almost psychic connection.

Good Marketing is Art.

Good marketing is art. It’s a single vision communicated singularly. How could that possibly be executed by more than one person, much less an entire team?

It can’t! It needs to be done by one… but how could a single person execute so much work themselves? You guessed it… AI.

AI will do for marketing what Computer-Aided Design (CAD) did for engineering. CAD replaced manual drafting of mechanical design. When was the last time you sketched an image, much less tried to draw a vision you have for a complicated, mechanical design that communicated perfect scale, measurements, and dynamically moving parts using a pencil, paper, and a calculator? It’s hard.

Now imagine a program that allows you to create 2D or 3D designs in minutes for designs that originally took hours, days, or months. Engineers became much, much more productive, and a single engineer could command a much, much higher pay rate by themselves.

The same thing is going to happen in marketing. Rather than a room filled with specialists trying their best to execute complex campaigns across multiple platforms using a compilation of techniques, you’ll have one person who can accomplish it all in a way that feels seamless, faster than ever before.

Dawn of the True Marketing Professional

This is going to be the dawn of the true Marketing Professional. Someone who can work with owners and executives to create campaigns so fast, so effective, and so on-point that even thinking about how things “used to be done” will cause growth in conference rooms around the world.

They’ll not only be master strategists, but they’ll also be wizards of AI automation and content creation.

Will they actually do every aspect of the process themselves, probably not, but they’ll be trusted to execute campaigns in real-time without referencing their team or outsourced professionals.

Similar to an accounting department where one top-level executive is expected to know everything and be able to calculate, adjust, and update any aspect of the accounting system on the fly, so too will marketers be responsible. They won’t just be expected to strategize, they’ll be expected to do.

No more sending out instructions to a graphic designer to ideate concepts. No more calls to your paid media specialist to aggregate data to create reports and identify trends. No more content outsourcing to create the pieces needed to execute a campaign. Just one person will be expected to know and coordinate everything.

Again, they won’t be actually doing everything, they’ll still need high-level professionals for that.

What’s the Job of Content Marketers in the Future?

Remember, this is a article series is about content, not marketing (it’s both technically, but the word “content” is on the cover). For that reason, we’re going to talk about the top-level content manager, rather than the other marketing managers in this speculative organizational structure.

There already exist several top-level content marketing positions out there. These include the Chief Content Officer or Director of Content Marketing, but those aren’t the positions I’m thinking of.

In order to manage the “content of the future,” companies will need someone who doesn’t simply create content campaigns, manage content creation, and coordinate the content strategy with the overall marketing strategy.

No, this person will need to manage all information within an organization, or at least any that could impact marketing or customer service.

This is in addition to content creation, but that function will take a backseat to organizationally-derived information databases that will be used to power your company’s AI. This system will be called the Organizational Knowledge Interface (OKI).

A new role will need to be created… I call it the Human Content Aggregator (HCA). Each company will need an HCA. Their primary role will be managing and growing the database that drives the OKI. This will require as much detailed data as possible about the company’s products, production practices, customer service, history, owner information, mission, principles, results, etc.

In the next article we’ll explore how and why each company will have an OKI.

What Does AI Mean for Websites?

If the internet was a physical space like a city, websites would be the buildings. Big companies like Google, YouTube, and Amazon would be the skyscrapers in the distance, while a small company website is a quaint house in the suburbs.

Now picture a modern city with no over-site. No regulations, no city guidelines, no safety precautions, no one to enforce anything, and no standard structure shared by anyone. What would that city look like?

It would look like a post-apocalyptic hellscape, no matter what the skills of the individual occupants might be.

The internet is the wild west right now, and the use of websites made it this way. Websites are fully customized, unstructured messes with no standard rules followed by any two people or organizations.

They’re the reason why search engines got created in the first place, to provide a map that calls out information about each place. Put in the magic words in just the right order, and you might just find a good website that has it (or 100 million of them that “sort of” have it).

The problem isn’t that we have the inability to create useful websites, or even the technology to create them, the problem is that websites are all 100% unique to the individuals and organizations that create them.

You can do absolutely anything you want, and therein lies the problem…

Websites are blank canvases, and unfortunately, very few of us are skilled painters. We’re impatient, unskilled, and uninterested painters for the most part.

We know we need to put something on the canvas, but we just don’t care, and if we don’t care, the likelihood of our audience caring is slim to none. It’s even worse when we DO care but still don’t consider the audience or the skills necessary to create something good, and simply create something we personally think is good.

Nothing is more disappointing than putting something you’ve worked hard on out in the world, and hearing the word “ew.”

That’s why we all default to consuming information on the few websites that have figured things out to a useful degree.

It’s why we all use the same websites… Google for search, Youtube for videos, Instagram for pictures, Amazon for shopping, etc.

The relationship we currently have with websites can be described with the following formula:

A Creator Makes Stuff They Think People Want
+
The Internet Provides a Platform to Share the Creator’s Stuff

=
People Find Stuff They Want

It sounds like it makes sense, but it starts at the wrong point… it starts with a creator, not with an individual’s problems and preferences for finding solutions.

What if we start with the individual first?

Every person is unique. Their situation is unique. Their wants and desires are unique. Their intelligence, personality, and experiences are unique.

How could any individual with their own uniqueness truly connect with another, especially when that other is as far away physically, mentally, and emotionally as you can be with a random stranger on the internet? In simpler terms, you can’t know this person less.

We currently combat this situation by fitting people into boxes provided by the dominant player in any given space.

We search the way that google has trained us to search: we rephrase our questions, review unrelated data, and click, click, click until we get an answer (maybe).

We shop the way that amazon has trained us to shop: we look at a bunch of random items with insanely long and unhelpful titles and make a decision based on whichever one will get to us the fastest, or the one that has the most and best of a long list of reviews, or the one that amazon literally tells us to buy.

We consume and share content the way that TikTok trained us to consume: it feeds us based on the posts we watch, our demographics, and our interests (and probably our facial expressions, attention spans, personality profiles, etc.), then we make content that fits in line with the content we’ve already seen so that we can “game the system” and become popular ourselves.

The point is, our interactions online have been 100% creator-driven, and they don’t truly reflect what we personally want or need in any real way. Just players in other peoples’ games.

We all want to be the “hero” in the stories we write ourselves. It may sound selfish, narcissistic, grandiose, and immature, but fcuk it… it’s your life, why shouldn’t it be that way?

No one like you has ever existed and never will again after you’re gone. As Dr. Ali Binazir stated during a 2011 Tedx Talk by Mel Robbins, “The odds that you exist at all are basically zero.” Mel gave slightly better odds at 1 in 400 trillion during his presentation.

The point is… we’re all INSANELY unique, and we deserve a solution that takes that fact into account (or is at least perceived to).

And that’s where AI comes in.

Imagine interacting with information that was uniquely structured in a way for you to personally consume.

Imagine using a browser that reformats the data provided by a company or organization in the best way for you to read it.

I create online courses, and as such, I’m very concerned with pushing my information into the audiences’ minds in a useful and applicable way. The problem is that there are more types of learners than I could possibly consider or accommodate with my content.

Are they visual learners? Auditory learners? Do they learn through the application? Do they have a disability I need to consider? Are their attention spans short or long? Do they need the information quickly or over time? Do they respond better to direct or indirect instruction? Do they learn better from men, women, robots, etc.?

I have the data. I know what I want to teach and the lesson I’d like you to learn, but after that, I’m kind of clueless.

Imagine a world where the internet works like this:

An Individual Needs a Solution
+
AI Understands the Unique Personality/Wants/Needs/Situation of the Individual
+
One or More Creators Provide Raw Data That Contains Elements of the Solution
=
AI Delivers a Custom Solution Based on the Available Data & Personal Needs of the Individual

In order to keep up with the new search functions, customer expectations, and data consumption of AI-enabled capabilities, brands will need to evolve.

I theorize that many of the large ones have already done so. Did you know that Amazon, Nike, Starbucks, Alibaba, and BMW all utilize AI in some capacity, some of which for years?

After a single successful implementation of the technology, how long would it take them to start to apply the capabilities to other aspects of the business? Not long.

I theorize that brands, especially big ones, will have something much better than websites… they’ll have “Organizational Knowledge Interfaces” (OKI’s for short), that will aggregate all of the information created by the company, searchable by an AI similar to ChatGPT (if not a licensed version of ChatGPT itself).

Look for the “replacement for websites” next.

AI Applied: Music

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.


By mid-2025, 25 AI-generated songs made it on the Billboard Top 100 chart, surpassing The Beatles record by one song. In July of the same year, the majority of playlists generated by users on Soundcloud, Spotify, and iTunes included at least one AI-generated song.

In early 2026, AI-Rock launched in partnership with the top music platforms, consuming their music and user data (anonymously, of course) to drive the creation of the Adaptive Music Generation Engine (AMGE)*.

The AMGE utilized user data to create custom music for each user based on their personal listening habits, playlists, and the preferences of similar users in the central database.

In its first iteration, the program simply asked the user to specify their top 20 favorite songs in order to generate custom music in the genre, melody, harmony, rhythm, timbre, pitch, silence, and form that they would most prefer.

To further enhance user experience and music consumption, AI-Rock also accessed all public records of each user to assess their current life events, habits, and personal interests to create lyrics relevant to their current mood, socioeconomic status, religious beliefs, political beliefs, and other public-facing information.

Users could further enhance their results by completing a detailed personality assessment through the platform.

The final enhancement available involved opening all communication platforms and private data to the platform, allowing AI-Rock to assess personal relationships, each user’s current mood in real time, and both known and unknown shifts in a user’s personality as perceived by the application.

By 2027, a number of mental health organizations began using AI-Rock to treat anxiety, mood, and personality disordered. Their use of the application eventually led to the development of Therapeutic Musical Interventions for Depression and Stress (TMIDS), which was widely adopted as both a direct and preventive treatment for a number of mental disorders.

AI Applied: Intellicurriculum

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.

By late-2023, over half of all online educational providers had begun to implement educational courses augmented by AI. The intention was to solve a nagging problem in the industry… low completion rates.

In the beginning of 2023, the completion rate was stuck at 15%, as it had been since the original fully-online educational platform, Jones International University, was founded in 1996.

As AI-customized content became increasing popular with the wide adoption of AI application in early 2023, many educational organizations began to implement customized coursework.

By mid-2023, an application called Intellicurriculum became a dominant player in the course-customization marketplace.

The concept was simple… train the Intellicurriculum AI, nicknamed Fiini (pronouned “Feeny”), to understand the interests of each student, then modify the course to include examples and concepts that feature those interests.

Early iterations of the application focused on user hobbies, typically sports whenever possible. For example, if a student named Bill enjoyed golf, each lesson would incorporate golf concepts and practices into what was being taught. When Bill wanted to learn about operational management, what better way to make a dry subject more interesting, than by including his favorite hobby. Here’s the content that Bill could expect to consume:

The content in the blue box was created by ChatGPT using the following prompt:

explain the concept of operational management using the sport of golf to provide further understanding

Operational management is a business concept that involves overseeing the day-to-day operations of an organization in order to ensure that everything runs smoothly and efficiently.

It encompasses various aspects such as planning, organizing, controlling, and monitoring the processes and resources involved in the production of goods or services. In order to explain this concept using the sport of golf, we can draw parallels to the way a golfer manages their game.

When a golfer steps up to the tee, they must first plan their shot by taking into consideration the distance to the hole, the direction of the wind, the contours of the fairway, and any potential hazards that may lie in their path.

This planning phase is similar to the planning stage in operational management, where managers must consider various factors such as available resources, market demand, and production capacity when making decisions about how to best execute their business strategy.

Once a golfer has planned their shot, they must then organize their approach by selecting the right club, setting up their stance, and aligning themselves with the target.

This organizing phase is similar to the way managers must organize the various resources at their disposal, such as human resources, financial resources, and technology, in order to ensure that they are being used efficiently and effectively.

During the swing itself, the golfer must control their body movements and apply the right amount of force in order to strike the ball cleanly and send it on its intended trajectory.

This control phase is similar to the way managers must monitor their operations to ensure that everything is running smoothly and make adjustments as needed in order to avoid any potential problems or bottlenecks.

Finally, after the shot is made, the golfer must monitor the flight of the ball and adjust their approach accordingly for the next shot. This monitoring phase is similar to the way managers must constantly monitor their operations and make adjustments in response to changing market conditions or other external factors.

The Fiini AI eventually incorporated a wide set of factors to create customized content for each user, including customized video, audio, graphic, and written coursework.

As students continued to use the application, their performance and progress continued to become more efficient, increasing the completion rate of online courses from 15% to over 95% by the end of 2024.

One explanation for the rapid increase in completion rates was course length. Since learning efficiency increased substantially, the length of the courses decreased by orders of magnitude. Without the need to manually incorporate multiple learning styles with each course, the duration of each was slashed by 50-90%.

Further, course creation became much faster. Rather then spending the majority of their time conceptualizing ways to explain core concepts, educators simply created the concept itself. Intellicurriculum then did the “heavy lifting” of creating examples and formatting the lesson into the preferred learning style of the user.

By 2025, most courses, both in-person and online, were transferred to platforms utilizing Intellicurriculum AI.

AI Applied: Woodwork

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.

In 2024, the AI named book – converter was launched and consumes over 10,000 texts overnight. Each text became its own app that could be searched and utilized by the user however they needed

One of the books was called Ted’s woodworking. Rather than simply looking up useful plans for items that could be built the app first force the user to fill out a short questionnaire about their wants needs and expectations.

For example, a user could specify which pieces of wood they had available, the tools they had available, and their previous history in woodworking based on this information, the app would then propose hey series of projects that could be used to create items with the resources available.

The real benefit of the process was that it broke down the barriers between learning a lesson and taking action. Historically, when trying to get into woodworking, a novice maybe stops by the need for specific materials, specific tools, and a general understanding of woodworking or the skill in question.

The plans that were proposed based on the user resources were not simply step-by-step instructions, rather they were displayed in the preferred learning method of the user. While one user may get a detailed video tutorial created specifically based on their available resources, another user may instead get a PDF-style manual with the same instructions, the key to making the app useful for both the vendor and the user is that these materials would be automatically generated based on the information in the original book in the resources of the user.

Further instructions, in regards to the dimensions of the item being created, will adjust based on the amount of wood, time, and skills of the user

AI Applied: PredictivePath.ai

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.

With the rapid adoption of AI processes and features throughout all social media platforms during 2023, a multitude of strategic partnerships between platforms began to arise. One notable partnership started in early 2024 between a start-up called PredictivePath.ai and Linkedin.

The goal of PredictivePath.ai was to provide students in high school and college with career options based on the work history profiles found on Linkedin. Since most users on Linkedin shared their profile data publicly, it provided the perfect data set to find patterns in work histories based on age, experience, education, location, and a host of other details.

PredictivePath.ai used this information to find career path patterns that could be applied to their users. Users of the app simply provided their existing education and work history to be given infinite paths that their careers could take based on

What users didn’t know was that the app could predict much more than possible career paths.

In the early years of the 21st century, people’s lives changed dramatically as technology became more and more integrated into their daily routines. The most significant change, however, was yet to come. In 2023, AI technology had advanced to the point where it was able to be integrated into various platforms and services, dramatically transforming how people approached their careers and personal development.

One such platform that emerged during this time was PredictivePath.ai. This revolutionary app was developed by a small startup that saw the potential for AI to make a real impact in the career development industry. PredictivePath.ai was unique because it combined the vast wealth of information found on social media platforms with the latest in AI technology to provide users with a highly personalized career development experience.

The idea behind PredictivePath.ai was simple yet powerful. The app analyzed the work history profiles of its users, taken from their Linkedin profiles, to provide students in high school and college with a wide range of career options. This was made possible because Linkedin users typically share their profile information publicly, providing a vast and rich data set that PredictivePath.ai could use to identify patterns in work histories based on factors like age, experience, education, location, and more.

Using this information, PredictivePath.ai was able to find career path patterns that could be applied to its users, providing them with an infinite number of career possibilities. Users simply needed to provide their existing education and work history to PredictivePath.ai, and the app would take care of the rest. This allowed young people to explore their career options more effectively and to make informed decisions about the direction they wanted their careers to take.

PredictivePath.ai quickly gained a large and dedicated following, and it wasn’t long before the app’s creators realized that they were on to something big. In early 2024, PredictivePath.ai announced a strategic partnership with Linkedin, the world’s largest professional networking platform. This partnership allowed PredictivePath.ai to tap into Linkedin’s vast database of users, providing even more accurate and up-to-date information to its users.

With the backing of Linkedin, PredictivePath.ai rapidly expanded its reach, becoming a key player in the career development industry. Young people around the world started using the app to explore their career options, and it quickly became the go-to tool for anyone looking to take their career to the next level. Companies and organizations also started to take notice, as PredictivePath.ai’s data-driven approach to career development provided them with valuable insights into the job market and the skills that young people were looking for.

By 2025, PredictivePath.ai was widely recognized as one of the most influential players in the career development industry. The app had helped countless young people around the world to find the right career paths for them, and it had become an indispensable tool for anyone looking to advance their career. PredictivePath.ai’s impact on the career development industry was felt far and wide, and it was clear that the app had changed the game forever.

As a future historian, I look back at the emergence of PredictivePath.ai as a seminal moment in the history of career development. The app’s combination of AI technology and social media data transformed the way that young people approached their careers, providing them with a powerful tool to help them make informed decisions about the direction they wanted their lives to take. The success of PredictivePath.ai shows how even small startups can have a big impact when they have the right combination of technology and vision.

AI Applied: AI Slack

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.


In late 2023, Slack, the all-purpose communication hub used by over 100,000 businesses, added an AI query capability to their application. Previously, the rudimentary search function could only search based on keywords and user names, restricting its use to the information known by the user.

Essentially, the AI consumed all data within a company’s Slack channel, assessing the information, intent, mood, subject, and patterns of all user conversations and shared data, including documents, links, pictures, videos, and other media. For an additional fee, the AI could also access patterns of in-formation collected by all Slack channels managed by the application to make judgments based on conversations within a single network.

The new search function massively enhanced each user’s ability to find conversations based on in- tent, rather than simple terms. The reach of these searches was restricted by the level of each person in the company.

For example, a lower-level user could search based on general project information, such as, “who was the last person to work on the Weyland project.” This capability allowed any user, no matter how limited their knowledge of the subject they were searching to get immediately up to date on the status of projects and other company events.

However, for higher-level users in management positions, the capability was expanded to recognize patterns in user conversations and comments to judge potential actions. For example, “who in the company is unhappy with their manager and why.” Slack would then as- sess all conversations to look for patterns of negativity, dissatisfaction, and mood by as- sessing conversations rather than simply look- ing for specific terms.

It could also be used to predict the future actions of employees by accessing application-wide patterns in all companies that use the application. The most useful function was to assess the conversations of employees who left their positions and when. Using this data, any manager could ask the question, “which employees will leave the company within the next 3 months,” to find future holes within the organization. The information could then be used to help prevent the exit, or speed it up to avoid complications in the future.