Your output tripled, your results did not, and the 2026 Orbit Media blogger survey of 1,042 content marketers finally explains what actually broke.
You are publishing more than you ever have. Faster, cleaner, more consistent.
And it is doing less.
The posts go up, the analytics stay flat, and you have started to wonder whether you are the problem or whether the whole channel just died while you were busy learning prompts.
Here is the direct answer. You are not the problem, and the channel is not dead. AI gave you speed, and you spent that speed on more of the same thing instead of on the parts of the work that were actually producing results.
Andy Crestodina and the team at Orbit Media published their 13th annual blogger survey on September 8, 2026. They asked 1,042 content marketers the same questions they have asked every year since 2014. Two numbers from that report should stop you cold.
92.4 percent now use AI for blogging. And only 13.9 percent report that their blog delivers strong results, which is an all time low across all thirteen years of the survey.
For twelve straight years that "strong results" number sat between 20 and 30 percent. This year it fell to 14. Six points below the previous floor.
Crestodina's read on the data is the part nobody wants to hear. AI use does not correlate with better performance. It does not correlate with worse performance either. It correlates with nothing.
Performance dropped because marketers used their new speed to quit the expensive stuff. Original research. Influencer collaboration. Human editors. Keyword research. Paid promotion. Every strategy that correlates with strong results is on the decline, and every strategy that correlates with weak results is on the rise.
Candidly, that is a harder truth than "AI content is bad." It means speed was never the constraint. The constraint was having something worth saying and the judgment to know when the draft is not it.
AI removed the excuse. It did not remove the work.
Key Takeaways
- AI adoption among content marketers hit 92.4 percent in 2026 while reported strong results fell to 13.9 percent, an all time low across thirteen years of the same survey.
- Andy Crestodina's Orbit Media data shows AI use correlates with neither better nor worse performance, which means the tool was never the variable that mattered.
- Performance collapsed because marketers used their time savings to abandon original research, human editing, expert collaboration, and keyword work.
- Graphite found that roughly half of new web articles are now primarily AI generated, yet 86 percent of articles ranking in Google Search are human written.
- The fix is not writing less with AI. It is spending the reclaimed hours on the work AI cannot do for you.
The Problem Is Not That AI Writes Badly
I run a lot of AI assisted content. I am not going to pretend otherwise while writing a post about this.
So let me name the tension honestly, because I live inside it.
When a draft takes twenty minutes instead of four hours, the rational move looks like publishing more drafts. That math feels airtight. More at bats, more chances to connect.
The math is wrong, and I have felt it be wrong in my own work.
Here is the thing. Every hour AI gave back was an hour that used to be spent on something. Interviewing a customer. Pulling your own numbers. Emailing an expert for a quote. Reading a competitor's report closely enough to disagree with it. Handing a draft to a human editor who tells you the middle section is filler.
Those hours did not feel like the valuable part. They felt like overhead. So when a tool showed up that let us skip them, we skipped them.
The Orbit Media data shows exactly how much we skipped. The average content marketer now spends about 50 fewer hours per year writing than in 2022. That is a full work week reclaimed.
In that same window, strong results fell from 26 percent to 14 percent.
We got the week back and got worse.
Ann Handley put it better than I can in her comment on the survey. She said AI makes it stupid easy to remove effort, and the data is a reminder to be much more discerning about which effort we remove and which we keep.
The reframe is this: you did not automate the writing. You automated the writing and quietly deleted everything around it. Then you blamed the writing.
What the Research Actually Shows
Four data points, all sourced, all from people who published their methodology.
One. The tool is table stakes, not an advantage. Orbit Media's 2026 survey of 1,042 content marketers found that 92 percent use AI and 8 percent do not, and both groups are equally likely to report strong results. There is no performance gap. The non AI group is more likely to report disappointing results, which means AI protects your floor without raising your ceiling.
Two. Volume went up, quality signals went down. Ahrefs surveyed 879 marketers and found that those using AI publish 42 percent more content per month, a median of 17 articles versus 12 for non users. More posts, same results. That is a very expensive way to stay flat.
Three. Search does not reward the volume. Graphite analyzed 55,400 articles from Common Crawl using three independent AI detectors and found that roughly half of all new web articles published are now primarily AI generated. In a companion study across 31,493 keywords, they found that 86 percent of articles ranking in Google Search are human written, and only 7 percent of results in position one are AI generated. Answer engines behave the same way. 82 percent of the articles ChatGPT and Perplexity cite are human written.
Read that gap again. Half the supply is AI. Fourteen percent of the visibility is.
Four. The clicks that remain are getting harder to earn. Pew Research Center studied the browsing behavior of 900 US adults across roughly 70,000 Google searches. When an AI summary appeared, users clicked a traditional result 8 percent of the time. Without a summary, 15 percent. Users clicked a link inside the AI summary itself on just 1 percent of visits. Ahrefs measured the same phenomenon across 300,000 keywords and found AI Overviews correlated with a 34.5 percent lower click through rate for the top ranking page.
So the field got twice as crowded and the door got half as wide, and the industry's response was to publish 42 percent more.
Now the good news, because there is some.
The Orbit Media data also shows what still works, and it is unambiguous. Influencer collaboration is the single strongest predictor of success in the dataset, with those marketers beating the benchmark by 2.6 times. It is also the most abandoned tactic, down from 25 percent of marketers in 2017 to 7 percent today. Publishing original research improves the likelihood of strong performance by 50 percent, and marketers using a formal human editing process beat the benchmark by nearly two times.
Orbit Media is not theorizing. They publish six to eight original research studies a year, a human named Amanda edits everything before it ships, every article carries visuals and outside quotes, and they run monthly webinars and an annual conference. Crestodina says the program took years to build and works like a champ.
Cyrus Shepard of Zyppy SEO caught the irony in his comment on the same report. Marketers are retreating from original research at the exact moment Google and AI engines started preferring it, and at the exact moment AI tools made producing it easier.
The System: Spend the Speed on What AI Cannot Do
Stop thinking about AI as a writing tool. Start thinking about it as a budget.
Every AI assisted draft returns hours to you. The only question that matters is where those hours go. Right now, for most people, they go to producing another draft. That is the loop that is failing.
Here is the reallocation.
AI handles the mechanical layer. Outlining. First drafts. Restructuring a messy argument. Turning one piece into five formats. Summarizing a long report so you can decide whether to read it. Cleaning up transcripts. This is real work and AI is genuinely good at it. Keep all of it.
You handle the proprietary layer. This is the part that cannot be prompted, because the raw material does not exist online.
Your customer conversations. Your own data. Your losses. What you charge and why you changed it. The objection you heard four times last month. The tactic you tried that failed. The expert who will give you a quote because they know you.
Notice what all of those have in common. None of them are retrievable. A model cannot generate what nobody has written down yet.
That is the entire moat. Not better prompts, not a secret tool, not a longer post. Information that exists only because you went and got it.
There is a signal worth watching here. One of the top posts in r/PromptEngineering this week was someone asking for a prompt that strips the AI rhythm out of their drafts. Thousands of people are now spending effort making AI output sound less like AI output. That is a tell. When your competitive edge is disguising the tool, you do not have an edge, you have a costume.
And this is not just a content problem. Deloitte's State of AI in the Enterprise 2026 report found that only about 25 percent of organizations have moved 40 percent or more of their AI experiments into production. Everyone is piloting. Very few are shipping anything that changes an outcome.
Same disease, different department. The tool got adopted. The work did not get redesigned around it.
The system is one sentence: use AI to buy hours, then spend every one of those hours on things a model cannot produce.
Seven Steps to Rebuild the Loop
1. Count your reclaimed hours before you spend them. Look at your last five posts and honestly estimate what each would have taken you in 2022. Subtract what it takes now. That number is your budget. Most people find between five and fifteen hours a month, and most people cannot tell you where it went.
2. Book one customer conversation per post. Thirty minutes, recorded, with a client or a prospect or a community member. Ask what they tried before you and why it did not work. One conversation produces more usable specifics than an hour of prompting, because it produces things nobody has published.
3. Publish one original data point per quarter. You do not need a thousand respondents. Poll your email list. Pull your own conversion numbers. Tally the last fifty sales calls by objection type. Orbit Media's data says original research raises your odds of strong results by 50 percent, and it is the one format AI structurally cannot fake.
4. Reinstate a human editor. A person, not a model. Someone whose job is to say "this section says nothing." The Orbit Media data shows the human editor group beats the benchmark by nearly two times, and the AI editing group underperforms it. If you cannot hire one, trade edits with a peer every week.
5. Get one outside voice into every piece. A quote, an interview, a disagreement with someone named. Influencer collaboration is the strongest performance predictor in the entire survey and only 7 percent of marketers still do it. The bar is on the floor. Step over it.
6. Run a judgment pass on every draft before it publishes. This is the step most people skip, so make it a prompt you actually use. Paste this into Claude or ChatGPT with your draft:
[The Job] Review the draft below and tell me whether it contains anything a reader could not get from any other article on this topic.
[The Background] I write for non technical small business owners who are curious about AI but overwhelmed by it. My advantage is supposed to be my own client work, my own numbers, and my own mistakes. I am worried this draft is competent and generic.
[The Deliverable] Give me three things: a list of every claim in the draft that is genuinely proprietary to me, a list of every paragraph that any competent writer with the same topic could have produced, and one specific question you would ask me to pull something original out of my head that is not on the page yet.
[The Questions] Ask me any questions you have.
7. Kill the volume target and replace it with a strategy count. Orbit Media identified eight strategies that correlate with performance. Marketers doing six or more are nearly three times as likely to report strong results. Not one of the 1,042 respondents does all eight. Pick your current number, add one this quarter, and stop measuring yourself by posts per month.
Frequently Asked Questions
Should I stop using AI to write my blog posts?
No. The Orbit Media survey found AI users and non users are equally likely to report strong results, but non users are more likely to report disappointing ones. AI protects your floor. It just does not raise your ceiling. Keep it for drafting and reallocate the hours it saves you.
Does Google penalize AI generated content?
Google's stated position is that it rewards helpful content regardless of how it was produced. But Graphite's data across 31,493 keywords shows only 14 percent of ranking articles are AI generated and just 7 percent of position one results. Whatever the policy says, the outcomes favor human work.
How much original research do I actually need?
Less than you think. A poll of your email list, a tally of your last fifty sales calls, or your own before and after numbers all qualify. Orbit Media's data shows publishing original research raises your odds of strong results by 50 percent regardless of study size.
Is blogging still worth doing in 2026?
Yes, but not as a volume play. Search clicks are down, with Pew finding an 8 percent click rate when AI summaries appear versus 15 percent without. The programs still winning combine original data, outside experts, real editing, and formats beyond text.
What if I do not have time for customer interviews or original data?
You almost certainly do. Orbit Media calculated that the average content marketer now spends 50 fewer hours per year writing than in 2022. That is a full work week already freed up. The time exists. It is currently being spent producing more posts.
The Excuse Is Gone
You did not get worse at this.
You got handed a tool that removed your best excuse, and the excuse was doing more work than you realized. "I do not have time to interview a customer" was true in 2022. It is not true now, and some part of you knows it.
I have caught myself on the wrong side of this. The pull toward publishing more because I can is real, and it is strong, and it does not announce itself as laziness. It announces itself as productivity.
That is what makes it dangerous.
Here is what I want you to take from Andy Crestodina's data. Thirteen years of the same question, and the year everyone finally got the tool is the year the results hit bottom. That is not a coincidence and it is not an indictment of AI. It is a measurement of what we quietly stopped doing.
So take one thing off your publishing calendar this month. One post. Use the time it frees to call a customer, or pull your own numbers, or send an email to someone smarter than you asking for a quote.
Publish four posts with something in them instead of eight without.
If you want to see how we build that reallocation into a repeatable system, come look at our training replays and the AI Insiders membership. No pressure. The work stands on its own either way.
Speed was never the constraint. You were just the only one who could remove the other one.
About the author
Jonathan Mast is the founder of White Beard Strategies, where he teaches non technical entrepreneurs to use AI to amplify skills they already have. He runs a Facebook community of roughly 500,000 members and the AI Insiders membership. He built a seven figure agency, lost it, and rebuilt.
Sources
- Orbit Media Studios, "Blogging Statistics 2026: What 1,042 Content Marketers Told Us About What Works," Andy Crestodina, September 8, 2026: https://www.orbitmedia.com/blog/blogging-statistics/
- Graphite, "AI Now Writes as Many Online Articles as Humans," Paredes, Druck, Benson, and Smith, May 2026: https://graphite.io/five-percent/research/ai-now-writes-as-many-online-articles-as-humans-do
- Graphite, "How Does AI-Generated Content Perform in Search and Answer Engines?": https://graphite.io/five-percent/ai-content-in-search-and-llms
- Pew Research Center, "Google users are less likely to click on links when an AI summary appears in the results," July 22, 2025: https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
- Ahrefs, "AI Overviews Reduce Clicks by 34.5%," Ryan Law and Xibeijia Guan, April 17, 2025: https://ahrefs.com/blog/ai-overviews-reduce-clicks/
- Ahrefs, "Marketers Using AI Publish 42% More Content," Ryan Law, June 11, 2025: https://ahrefs.com/blog/marketers-using-ai-publish-more-content/
- Deloitte, "State of AI in the Enterprise 2026": https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-ai-in-the-enterprise.html
