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The New AI Marketing Machine

How AI is reshaping the marketing landscape and where traditional specialists fit in.

October 21, 20255 min read

We've had a few unprompted requests about AI marketing this week — so we figured it's time to talk about it.

This week we're covering:

  1. Why the marketing industry has changed.
  2. How you should think about using AI in your marketing efforts.

And with the recent launch of OpenAI's Sora app (which we had some fun experimenting with this week as you can see below… and it's absolutely wild), now's the perfect time to figure out where AI should (and shouldn't) fit into your marketing strategy.

Sora video thumbnail

Our dream come true: a stadium full of Unprompted subscribers. Check out the video on YouTube.

The Digital Marketing Machine - A 2 Minute Rant

We've spent a lot of time working on marketing campaigns — both here at Lowcode Garage and in our previous companies. And we're not afraid to say it: the traditional marketing industry is… infuriating.

Over the past two decades, marketing evolved from TV spots and billboards into a hyper-specialized web of digital content production, a machine designed to capture attention and convert it into sales.

And somewhere along the way, it turned into a labyrinth of specialists.

Need a campaign? You'll be referred to the paid team, then the social team, then the SEO team, then the analytics team.

Each specialist will insist that you must invest in — and actively operate — every component of the marketing machine, or else their specialized efforts won't succeed. And, of course, you wouldn't see any tangible results from their work for another 6 to 12 months.

But lucky for us, the past two years of AI have completely rewritten the playbook.

Marketing 101: The Old Playbook

Traditionally, marketers divided their world into four pillars:

  1. Paid Media – When you pay to put your brand in front of people who haven't found you yet: ads, sponsored posts, influencer deals, search keywords.
  2. Earned Media – When others talk about you: press coverage, social shoutouts, testimonials.
  3. Owned Media – What you control: your website, blog, newsletter, or social accounts.
  4. Community – The people around you: your fans, groups, and events that bring them together.

Pre-AI, each of these required a dedicated specialist (or even a full team) to execute properly.

For example:

  • Websites needed engineers and keyword/ SEO specialists, graphic designers, UI designers, copywriters.
  • Video content required actors, scriptwriters, and editors.
  • Paid ads demanded all of the above plus data engineers to track and analyze metrics.

You can start to imagine how much time, organization, and money traditional marketing required (not to mention the headaches).

A Welcome Change: The 4 New Pillars of Marketing in the Age of AI

While the 4 pillars of marketing (paid, earned, owned, and community) are definitely still critical components of any brand or company's marketing success, the ways we execute them are evolving rapidly.

At Lowcode Garage, we've been thinking about how new AI tools can support marketing efforts across these traditional channels, which we think fits into four new pillars:

  1. Content Creation – new AI tools can now handle the heavy lifting in visual and written production
  2. Live Operations – AI is making customer support and 24/7 brand presence scalable across live social channels and community management
  3. Internal Operations – teams are now streamlining all of the tedious behind-the-scenes work with AI products and development tools
  4. Performance Analytics – LLMs are really good at parsing data and displaying insights, especially with typical marketing campaign data

The next time you need to do marketing, step back and think about whether you can use a new AI tool rather than hiring another marketing specialist. Because the chances are that there may be a better way to get the job done.

PSA: Please Don't Copy and Paste ChatGPT Copy for Social Posts!!!!

We know we've gushed about AI tools, but please, we beg you. If you want to use AI for marketing, do not just copy and paste whatever ChatGPT gives you.

It may seem like it sounds good. But it's AI slop that you can smell from a mile away.

So do yourself a favor, and spend 2 minutes thinking for yourself and either:

  1. Write posts yourself (yes, people still do that)
  2. Use ChatGPT as a brainstorming partner and make sure that the thoughts are yours

We've actually started making disclaimers in our own posts, that everything was written 100% without AI, and that all thoughts and opinions are our own.

People seemed to like that approach (and feel free to like the post too if you feel inclined)!

LinkedIn post disclaimer about AI

This was a lot… Can I get this to go?

We're so glad you asked. Yes, we've created a handy one-pager that summarizes these four new frameworks and includes AI tools for each category, just for you!

If you find this information helpful, please share it with your colleagues and friends who could also benefit from this new approach to marketing.

And of course, we're just a phone call away if you want to discuss any of these ideas with us.

Frequently Asked Questions

AI has transformed marketing from a labyrinth of specialized teams into accessible, efficient tools. Traditional marketing required dedicated specialists for websites, video content, SEO, and analytics, often with 6-12 month timelines for results. AI tools now enable businesses to handle content creation, live operations, internal workflows, and performance analytics without extensive teams. This shift has rewritten the marketing playbook, making sophisticated marketing capabilities available to businesses of all sizes.
The 4 new pillars of AI marketing are: 1) Content Creation - AI tools handle heavy lifting in visual and written production; 2) Live Operations - AI enables scalable customer support and 24/7 brand presence across social channels; 3) Internal Operations - AI streamlines tedious behind-the-scenes work with development tools; 4) Performance Analytics - LLMs excel at parsing data and displaying insights from marketing campaigns. These pillars represent how AI supports traditional marketing channels (paid, earned, owned, and community) in new, efficient ways.
No, you should not simply copy and paste ChatGPT output for social media posts. While AI can be a valuable brainstorming partner, directly copying AI-generated content creates "AI slop" that audiences can easily detect. Instead, either write posts yourself or use ChatGPT as a brainstorming tool while ensuring the final thoughts and voice are authentically yours. Many successful brands now include disclaimers that content is written without AI to build trust with their audience.
The traditional 4 pillars of marketing were: 1) Paid Media - ads, sponsored posts, influencer deals, and search keywords to reach new audiences; 2) Earned Media - press coverage, social mentions, and testimonials from others; 3) Owned Media - websites, blogs, newsletters, and social accounts you control; 4) Community - fans, groups, and events that bring people together. Pre-AI, each pillar required dedicated specialists or full teams to execute properly, making marketing resource-intensive and expensive.
AI tools can handle much of the work traditionally done by marketing specialists, but they work best as powerful assistants rather than complete replacements. AI excels at content generation, data analysis, and operational efficiency, allowing businesses to reduce reliance on expensive specialized teams for initial work. However, strategic thinking, brand voice refinement, cultural awareness, and the "last 10%" of details that make marketing memorable still benefit from human expertise and judgment. The key is using AI to enhance capabilities rather than expecting it to replace human creativity and strategic insight.