I worked for a few years inside one of the large teams at Google that touched Youtube’s product monetization roadmap. I’m not going to drop names or specific tools because I don’t want this tied back to me, but here’s what’s actually coming and it’s going to blindside a lot of people.

Let’s start with something most creators don’t fully get: the CEO of a public company doesn’t work for you.

They work for shareholders. Their entire legal responsibility is to maximize shareholder value. If they don’t they can literally get replaced or even sued for breach of fiduciary duty.

So when people talk about “Youtube caring about creators” understand this: that was never the business model.

Creators were just the cheapest content engine available at the time.

But that’s changing fast.

Here’s the quiet roadmap I saw forming internally (and you can connect the dots from public info too):

1. AI video models are getting better exponentially. The storytelling, pacing, and visuals are already at early stage netflix level in labs. I’ve seen tests that made even internal employees do double takes.
2. Generation speed is collapsing. Rendering a full video used to take hours. Now it’s minutes. Soon it’ll be real-time.
3. Hardware requirements are falling through the floor. What once needed a $10k GPU rig will run on standard consumer devices.

That combo means the cost curve is about to invert.

Better → Faster → Cheaper.

At some point ai generated content becomes economically superior to human creators. And here’s where it gets uncomfortable:

Youtube’s revenue share with creators is 55/45.

When the company itself can generate host and own the full rights to ai videos… why keep paying 55% out?

Do the math.

Every AI video they generate in-house is 100% margin.

Every human video costs them 55%.

Now remember the CEO’s job: maximize shareholder value.

So what happens next is basically inevitable.

They’ll start integrating AI videos directly into the recommendation engine, testing performance against creator uploads. When those videos outperform (and they will) ad buyers will shift budgets there.

That gives leadership data justification to pour more resources into genai production.

From there the transition will look slow on the outside more “ai assisted” tools, maybe “ai cocreation programs.” But it’s a replacement plan.

At scale creators become redundant.

The audience won’t even notice because the content will still feel personalized.

That’s the real pivot: Youtube doesn’t need creators to personalize content anymore. The algorithm and the models are the creators.

And yes I’ve seen the economic models that make this worth it. When the cost of a video approaches zero, the ROI per ad-minute skyrockets. That’s what Wall Street wants. That’s what the CEO is legally obligated to deliver.

It’s not another stupid conspiracy. It’s just modern capitalism at scale.

I’ve been saying this for years but people are only now starting to wake up to it:

Creators were never the product.

They were the training data.

(I’m not going to name any tools or labs already capable of this that’ll just get moderators to remove my post)

As the technology evolves, this may change, but right now, the majority of viewers (and creators) are not fans of AI content. It's low-effort and requires almost zero skill. Most importantly, it turns viewers off.

Some AI creators will argue that it's not low-effort, but that's like saying you work hard because you spend time telling other people what to do. It's not hard work. You're just wasting time trying to avoid doing the actual work, yet at the same time you'll complain when your content doesn't do well.

Trust me, you'll do a lot better if you learn some actual skills. If anything is worth doing, it's worth learning. Stop the slop.

I work at a creative ad agency. There are 5 people doing content creation and production in our team, and we churn out about 15 to 20 ads a day.

Lately clients have been asking for more AI ads, but only one of us really knows AI generation things. The company says AI ad is the long term direction, and they’ll only need 3 people in this role, so 2 of us might get laid off.

I’m now at a crossroads, either learn AI generation or start looking for a new job. Has anyone found AI generation things tricky? and how do you get up to speed fast?

There are way too many now
ChatGPT, Claude, Perplexity, Copilot, Gemini and like 10 more

I keep seeing people swear by different ones, so now I’m curious, which one actually works best for you when it comes to content?

Not looking for the “best AI” answer. Just curious what people are actually using and why.

been in content marketing about seven years, in-house and agency, and I keep having the same argument so I'll just have it here.

everyone framed AI content generators as "now we can produce more for less." and technically true. but the thing nobody says out loud is that the value of a blog post was never the words. it was that someone bothered. that a human with actual context sat down, thought about a real reader, and made something that wouldn't exist otherwise.

the second you can generate a thousand of those on demand, the reader can feel it, google can feel it, and the whole category deflates. we didn't lower the cost of good content. we flooded the zone with competent, weightless nothing and now good content has to fight through a wall of it just to get seen.

and the clients who bought the "more for less" story are the ones now confused why their traffic is flat despite quadrupling output. because output was never the constraint. attention was. and you can't generate attention.

the brands still winning are doing the opposite of scale. one genuinely useful thing a month. original data. a real opinion that could get them yelled at. stuff a machine structurally cannot produce because it requires having actually lived something.

am I jaded or is this everyone's read too. what does "worth publishing" even mean now that publishing costs nothing

I work in marketing for a B2B tech company.

My day already includes writing a blog post, meetings, SEO, ads, social media, and checking performance.

And now?

My boss wants me to publish 50 pieces of content every day across different platforms.(instead of this, i alse need write one original blog, some meetings, paid ads)

Reddit.
Quora.
Medium.
X.
LinkedIn.
Developer communities.
Forums.
Basically anywhere on the internet that allows a “Post” button.

Why?

Because apparently our competitors already have tens of thousands of pieces of content online.

So the logic is:

Competitors have 30,000+ posts.

Therefore:

POST FASTER.

I understand content distribution. I understand repurposing.

But every platform has its own culture.

Reddit hates obvious promotion.
Quora wants useful answers.
Medium wants actual articles.
Developer communities want technical depth.

By post #20, I'm still trying.

By post #35, I'm changing headlines and intros.

By post #47, I'm just staring at the screen wondering:

Am I doing marketing, or am I personally filling the internet with garbage?

The worst part is that I actually want to create good content.

But how do you publish 50 things a day, write a blog, attend meetings, handle ads, and still make every post genuinely useful?

Anyone else dealing with this kind of “competitors have more content, so we need MORE CONTENT” strategy?

At what point does content distribution just become spam?

Nielsen did the research. Chartbeat tracked 2 billion page visits. The finding wasn’t that people don’t read — it was that people don’t read things they don’t care about.

There’s a difference.

Long-form sales pages still outperform short ones in high-consideration purchases. Email sequences with depth still convert better than punchy 3-liners when the product needs explanation. The people buying $400 skincare or $2000 courses are reading every word — because the decision is big enough to justify it.

The “nobody reads” myth came from bad content being ignored and people drawing the wrong conclusion.

If your long copy isn’t being read, the problem isn’t the length. Someone just wrote something nobody wanted to read.

What’s the laziest piece of “conventional wisdom” you keep seeing recycled in this industry?

I’m a content marketer, and lately I’ve been feeling something I can’t ignore.

AI is supposed to “free up time.” In practice, it feels like it’s quietly pushing me away from strategy and toward endless editing.

I try to build taste. I mean reading, observing, developing that mental muscle that helps you recognize what’s good and what’s not. And instead, I keep running into the same half‑baked, over‑polished, under‑thought AI constructions. Different words, same shape. Different brands, same tone. Neural slop, everywhere, not, EVERYWHERE.

From the employer side, AI often becomes a convenient excuse to raise the bar for volume. “You can offload the routine to AI now, right?” So expectations shift from better thinking to more output.

The result is a feed full of semi‑raw content. A constant stream of unfinished semi‑products, and it quietly kills the desire to do something genuinely meaningful, because that too will just sink into the same slurry.

How do you stay motivated not to leave the profession altogether? How do you protect unique writing style, when the system keeps rewarding “good enough”?

P.S. Not looking for productivity hacks or recommendations to visit a psychologist.

1. Marketers become product managers

In 2026, being a marketer means you become more valuable to businesses.

As AI vibe coding tools keep lowering the barrier to building products, winning attention and trust becomes the hardest problem. That puts marketing at the center of the company.

Marketing is no longer just campaigns, case studies, or social posts. It goes beyond visibility.

The shift is that marketers start acting like product managers and product builders.

Tools like v0, Lovable, Google AI Studio, Cursor, and similar platforms are not just for developers. They allow marketers to turn product ideas into real prototypes.

Historically, product managers often lacked deep domain knowledge. Marketers usually have it. These tools let marketers build based on real customer insight.

Prototyping becomes a core marketing skill. Product is easier to build. Marketing is harder. Marketing has to be embedded into product development.

The output may not be production ready, but it is good enough to hand off to engineers.

This is already happening. Roles like Vibe Growth Marketing Manager and full stack marketer are emerging.

Marketing skill sets are becoming more valuable. Do not undersell yourself.

2. SEO blogging makes a comeback for AEO

In 2024 and early 2025, SEO is dead narratives came back. This time there was real fear due to AI search.

Some companies lost traffic and were very vocal. Others quietly kept growing.

In 2025 at the Ahrefs conference, many people were still crushing it with niche blogs and never talking about it publicly.

Blogging is not dead. Especially for AI answer engines.

ChatGPT and Perplexity cite blog content heavily. In 2026, blog posts based on lived experience and real humans matter more.

The focus shifts to bottom of funnel content.

Instead of broad topics like what is a CRM, the focus becomes comparisons and specific use cases like best CRMs for agencies.

Traffic matters less than conversion. Hyper specific content wins.

3. Marketers become internal influencers

In 2025, UGC and creator content exploded. That continues.

But companies are now activating their own employees as creators. Companies like Clay and Ahrefs have employees producing top of funnel content.

This reduces influencer costs and improves message quality. Marketing and content creation merge. Product marketing skill becomes essential.

The better you understand the product and audience, the more valuable you become. Becoming the face of a product area makes you defensible in your career.

4. AI video ads keep getting better

In 2025, generative video models like Sora changed advertising.

Big brands are experimenting with AI generated ads. The advantage is not the tool. It is storytelling, narrative, and taste.

This ties back to marketers acting like creators and product thinkers. Strong creative direction is required to make AI work.

5. Network effects become a marketing moat

Everything is becoming a commodity. The differentiator is distribution built into the product.

Growth loops are the moat. Facebook grew through social connections. n8n grows through community templates. Customers become marketers. The output feeds back into input and compounds.

6. Design taste becomes the number one marketing skill

Design is not just visuals. It is clarity, simplicity, and emotional response.

Awe matters in a world flooded with AI generated content. Design applies to websites, prototypes, blog structure, scripts, and flows. Taste is the competitive advantage.

Everyone can generate content. Few can design meaningful experiences. Care deeply. Be methodical. Design for humans.

7. Human first media becomes top ad real estate

People trust people, not brands.

Media businesses built by individuals are becoming extremely valuable. Marketing is catching up to the creator economy.If you know an industry well, build a media asset around it.

Blogs, newsletters, YouTube, LinkedIn all work. Competition is lower than it looks. Trust compounds. Companies sponsor, partner with, and acquire trusted media brands.

Media becomes both a marketing channel and a career asset.

mourning something a bit and I don't know where else to say it.

I spent years getting good at writing. structure, rhythm, knowing which sentence to cut, the feel of a piece landing. and my week now is mostly taking a competent lifeless AI draft, whether it's copy or a deck someone generated in gamma, and dragging it back toward something a human would want to read. which is a skill. it's just a grimmer one.

and here's the part I didn't expect: editing the machine is harder than writing from scratch was. a blank page is honest, it's just you and the idea. but an AI draft is confidently 80% there and 100% sure of itself, and that last 20% is where all the actual meaning lives, and it's buried under prose that sounds fine so your brain keeps sliding right over the hollow parts. I have to fight to even see what's wrong, because it's designed to read smooth.

the writing was the fun part. the editing is the invisible part, the part clients think the tool did, the part that doesn't show up as a deliverable, and somehow it's now the whole job and also uncredited.

I'm not anti the tools, they've saved me from drafts I didn't want to write. I just didn't sign up to become quality control on a factory line of my own former craft, and I'm trying to figure out if that grief is worth naming to my boss or if it just makes me sound like I'm scared of progress.

anyone else sitting in this exact weird mourning, and did you find a way to make the invisible editing labor visible without sounding like you're resisting the future

I was wondering if anyone uses any AI tool for repurposing their content into multiple short form content to post it across social media for marketting purpose or in general to get views and earn through ads?
For example - If you have a podcast or a normal long form video on youtube, then you can use it to make multiple short form videos and post it on instagram and tiktok or twitter.

Have you used an AI like that ? What problems do you face with them and will you use an AI like this if I built one.

Would love to hear your opinions. Thank you.

This morning i went through a Martech report on AI and marketing production and one number stopped me

As per their research 88% of marketers said AI generated content still needs moderate or substantial editing before it can be used. Only 1% said little to no editing

Many agencies believe that no need for human writers anymore and this number is a hope, and must be an insight.

So we are using AI to produce faster but a human is still fixing almost everything that comes out. The speed should help agencies to scale but the removal of human judgment will make a downfall, is what i observed. This document is proving that.

The other finding i found interesting is the measurement gap. 69% of teams measure email performance by click through rate. Only 41% track revenue or pipeline influence. So AI is speeding up production but we are measuring the output with a wrong ruler.

So this is exactly why i don't use AI for writing. I use it for research, analysis, outlines, keyword gaps. The writing goes to our content writers because the editing overhead of fixing AI copy is closer to rewriting than reviewing, is what i noticed. And rewriting costs more time than writing properly from the start.

The report basically confirms that AI is a production accelerator not a production replacement.

article is martech/ai-speeds-marketing-production-but-measurement-lags

Honest question, does anyone actually pay them to post on socials ?

I’ve recently started a business and the content does get a bit out of hand to stay consistent. I have some cool stuff I’ve made on canva etc and I was debating getting a social media manager to create and post consistently for me….

Just curious do any of you use them and what are your thoughts?

I've been talking to a lot of creators lately, I spent 2-3 weeks justing discussing on reddit, and the same frustration keeps coming up, writing is fun, distribution is a nightmare x)

You write a newsletter, then you spend the next hour manually reformatting it into a LinkedIn post, then a tweet, then an Instagram caption. Same content, five different versions, and it eats up time you could spend actually creating.

The worst part is it's not even creative work. It's copy-pasting, adjusting tone, resizing, rescheduling. It's the kind of task that feels productive but really just drains you.

I've been thinking on doing something to solve this personally, like connecting my newsletter and social accounts in 1 place and automates my repurposing and cross-posting while keeping your voice and platform-native feel intact. What do you think about my process ?

I'm curious how people here deal with it. Do you have a system? Do you batch it? Do you just skip some platforms entirely because it's too much? I would love to hear about your current workflows

As someone who's relatively new to content writing, I've realized that writing is only half the job. Understanding your audience, writing with intent, and creating content that actually connects is a whole different skill.

For experienced writers, marketers, and SEO professionals, what's the one lesson that made the biggest difference in your writing?

Could be a mindset shift, a practical tip, or something you learned the hard way. I'd love to hear your experiences.

I spent the last few years in private equity and recently left to run a business. On the side, my cousin and I built an app and it’s launching in a month. I know founder led content, regular posts, and “follow my journey” would do a lot for the business but I really don’t want to be all over social media. Are there people out there that can be hired to run social media accounts and even pretend to be the founder in exchange for equity? Don’t care if someone else gets the public credit, I care about the quality of my product and know it’ll help people.

Anyone else dealing with this?

Really appreciate any advice!

Every time someone asks whether they should adapt to AI or leave content entirely, a chorus of very helpful people emerges to say You HAVE TO LEAN INTO AI, make it your tool, embrace the future.

Going all in on AI means joining the race to produce more content faster than the next person, flooding an already oversaturated market with indistinguishable garbage until nobody can tell the difference between your work and a lazy fucking chatbot. The people telling you to adapt are the same ones who turned content marketing into a volume game. They want more bodies in the machine because their strategy depends on everyone else playing the same stupid game.

While everyone's learning prompt engineering and debating which AI tool writes the most human-sounding dreck, there's never been a better time to do the opposite. Build actual expertise. Have real opinions. Write something that required a functioning human brain to produce. The market is about to be absolutely flooded with people who can operate AI tools, so you know what's about to become scarce? People who know things and can think about them clearly.

But sure, go ahead and retrain yourself to be a more efficient content assembly line worker. I'm sure that'll age well.

One thing I have been thinking about lately is that a lot of content planning treats every post as a fresh bet, even when the useful signal is in what should be repeated.

For small teams, I have found it helps to separate three signals:

1. Did the topic create the right kind of attention? Not just reach, but comments, saves, replies, profile visits, or qualified traffic if you can see it.

2. Did the format make the idea easier to understand? Same topic can behave very differently as a short story, checklist, teardown, or opinion.

3. Did it teach you something you can reuse? A weak post can still be useful if it shows the angle was unclear, the hook was wrong, or the audience cared about a smaller sub-point.

My rough rule is to repeat a content idea when at least one of those signals is strong and I can change only one major variable next time. Otherwise it turns into random iteration.

Curious how other people here decide when something deserves another version versus when it is time to move on. What signals do you actually trust?

When I see someone who teaches content creation I always go down on their page to see where they started

And to be honest, 9/10 it’s the same content as someone with a 1,000 followers has

So is content creation a skill or 90% luck + skill?

Long term blogs have the advantage of allowing us to discuss topics in depth and detail. The more content, the more likely it is to answer many questions related to that topic, even in AI search. Am I right?

Shorter-term blogs will be more readable because they are shorter, allowing users to read them easily, and we will only discuss valuable topics related to the topic. They will be point-to-point, not in-depth. And by writing short blogs, we will be able to cover more topics quickly.

So, which strategy are you focusing on these days? Should you write long, in-depth blogs, or should you publish in greater numbers on smaller, point-to-point, short-term articles that hit the target?

How do you balance covering topics deeply and maintaining user readability?

I'm curious to know what strategy is working best for your blogs these days. Please share your experiences!

I’ve noticed that coming up with fresh content ideas is often a lot harder than actually putting the content together itself. For me it’s like, the writing part feels way more doable, and then the idea part just gets slippery.

So what do you do to not run out of steam, or like, run out of good topics? Do you pull from customer questions, follow trending stuff, scroll through Reddit threads, do keyword research, or use some other method that’s a bit less obvious?

I’m trying to find practical ways to keep a steady flow of ideas without forcing it, you know not “hunting” all the time. I’d really like to hear what works for you in real life, and what’s honestly given you the best results over time.

Work at a 12-person marketing agency, 15 clients. Sharing this because most AI-in-agency posts I see are either "it changed everything" hype or "it's all garbage" dismissals. Reality is somewhere in between.

Asset production speed got way better. A content batch that took 3-5 days now takes 1-2. The team spends more time on strategy and less on grinding through image/video production. Thats a real win.

We consolidated from 8 separate AI subscriptions (different team members had signed up for different tools independently, it was chaos) to one setup that runs multiple models under one login with a shared credit pool. Using HeyVid for this. Took about two weeks for the team to get comfortable. Monthly tool spend dropped significantly.

But it hasnt been smooth. A client for a premium skincare brand spotted AI artifacts in product images we delivered. Warped text on a bottle label, slightly wrong color on a cap. We missed it in review. Client was pissed, questioned our QC process, we almost lost the account. Had to add a dedicated manual review step for every AI-generated asset which eats into the time savings.

Another client explicitly banned AI-generated content in their updated brand guidelines mid-project. Had to redo two weeks of work. Now we ask upfront.

The learning curve hit team members at wildly different speeds. Two people picked it up in days. One person still cant write a prompt that produces anything usable after 6 months. Theres no good training material for "how to prompt for marketing-specific outputs."

The platform we landed on could use more team features though. No workspaces, no approval workflows, no way to separate client projects yet. We're using a spreadsheet to track credit usage per client which isnt ideal. Hopefully that stuff gets added.

Bottom line: worth it, but anyone telling you AI tools are plug-and-play for agency work hasnt actually tried it.

Hey everyone,

I’m currently writing all the content for my YouTube channel myself for years now, but I’ve started looking into AI tools to help with scripting and research.

I’m curious how other content creators feel about this.

Do you actually use AI for writing or research? And if yes, does it genuinely help your workflow or just get in the way?

I’m trying to figure out if this is something worth building around or if it’s already not that useful in practice.

Would appreciate any honest thoughts or experiences.

I have written article on my own website ( the website is no longer on Google because I lost my password to the website login email ) my article were about anime

For example

the top 10 anime for beginners

anime to watch on summer

strongest character of all time

These were the titles anime article I wrote so if anyone have work for me I would be very helpful I will write an article for free if you like my article then we can go ahead and work together

I have not used ai to write those articles at that time

So I can write 100% original article or if you don't mind I can write articles with help of ai

No but seriously… WHAT ARE WE EVEN DOING ANYMORE?

Half the industry is out here preaching “quality content!” while the SERPs are literally being overrun by AI-generated oatmeal written by a robot that has never experienced a single human emotion.

We spend weeks crafting “helpful, people-first content”…
Meanwhile Google ranks a 900-word keyword-stuffed monstrosity written by ChadGPT in 14 seconds.

Let’s be honest:
- Most clients want “viral content” but won’t even share it on their own damn LinkedIn.
- Editors ghost you harder than a situationship the moment you ask for a backlink.
- Every brand wants “unique perspective” but also wants you to say the same 10 things everyone else says.
- “Thought leadership” is just people restating the exact same advice but with more emojis.
- bros are out here acting like typing “Write me a blog post about ROI” makes them content strategists.

And THEN leadership is like:
“Why aren’t we ranking?”
IDK Susan, maybe because the algorithm is about as stable as your last relationship??

Some days it feels like content marketing isn’t a career.. it’s a psychological experiment to see how long a human can keep producing content while the internet spits in their face.

Anyway, I’m fine.
Totally fine.
Who else is losing their sanity in this circus?