I Asked Nearly 100 People About Starting Again After 50. AI Wasn’t the Hard Part

Last Wednesday night I asked a simple question on X: “Anyone over 50 starting something new right now? A business, a course, a craft, a second career. What is it?” I added my own answer. At 69, I’m building Zyrro, an AI startup.

Then I went to bed. By the next afternoon, more than 27,000 people had seen it. Nearly 100 had answered, aged from 45 to 83. More than 400 had clicked through to my profile to see who was asking.

I’ve been writing online since 2009, and I’ve learned that you can’t fake a response like that. People don’t answer a question unless it touches something real. This one did. Here’s what they told me, and what I think it means.

The replies

Some answers made me laugh. Some made me stop and read them twice.

One person wrote that at 83, they’re starting life all over again. 

• A 70-year-old is working on a wind energy project. 
• A 55-year-old finished a PhD last year and won a NASA contract this year. 
• A 64-year-old is bootstrapping a restaurant operations platform that’s approaching $1 million in transactions in under a year.
• A 73-year-old woman is roasting specialty coffee. A 65-year-old published a first book this year and is turning it into an online workshop. 
• A 60-year-old has just started writing a first novel. 
• Someone else is finally starting the band they should have started years ago. On Threads, one person couldn’t find a patch for every baseball stadium, so they made all 83.

These aren’t people winding down. They’re people winding up.

What the numbers say

I sorted every real answer into groups. I left out the jokes, the ads and the “good on you” replies, which left 98 answers.

More than half are building a business. About one in five changed careers or went back to study. One in eight took up something creative. And about one in ten said they’re still looking. I’ll come back to them, because they’re the most important group in this story.

Of the 52 people who told me their age, the youngest was 45 and the oldest was 83. The median was 58.

This isn’t a scientific sample. These are people who follow me on X, and people who start things are more likely to answer a question about starting things. But the pattern matches much bigger studies.

The Kauffman Foundation tracks who starts new businesses in the US. In 1996, people aged 55 to 64 made up 14.8% of new entrepreneurs. By 2021, it was 22.8%.

A study of 2.7 million US founders, by researchers from MIT, the Kellogg School of Management and the US Census Bureau, found that the average founder of the fastest-growing new companies was 45 when they started. A 50-year-old founder was 1.8 times more likely to build one of those companies than a 30-year-old.

The picture of the 25-year-old founder in a hoodie is a story, not a fact. Experience counts.

The script that says stop

So why does it feel so hard to start again after 50? Because most of us were handed a script early. Work. Stop. Rest. Get the job, climb the ladder, retire at 65 and fade out quietly.

That script was written for shorter lives and safer jobs. Both are going. And when you try to step off it, the world often pushes back.

In 2009 my business collapsed and my marriage ended in the same year. I was 51. I applied for about 700 jobs, and the word I heard again and again was “overqualified”. For a lot of people over 50, that word really means “too old”.

I wasn’t alone then, and people aren’t alone now. In AARP’s 2026 survey, 64% of US workers aged 50 and over said they had seen or experienced age discrimination at work. Researchers at Boston College have also found that since ChatGPT launched, workers aged 55 and over in the jobs most exposed to AI have been leaving work at higher rates. Many of them are still looking for work, not retiring.

Then there’s the fear story. You’ve seen the headlines. AI will take your job. AI will leave you behind. If you’re over 50, the message is that the future has already moved on without you.

The fear story doesn’t match what people say

Over four months I read 3,660 replies to my posts on X, from about 2,000 people, most of them over 40. When I asked people over 50 whether AI had left them behind, only 1% said yes. Most were curious. Many were excited. I wrote about it in my AI Over 50 study.

The replies to last week’s question said the same thing. About four in ten people mentioned AI or software without being asked. They’re building apps, automating their work, making music and teaching other people over 50 how to use AI at work.

Why experience is the edge

There’s another reason people over 50 are doing well with AI, and it’s the one I find most exciting. AI is very good at producing answers. It’s poor at knowing which answer is right.

That takes judgment, and judgment takes years. If you’ve managed people, run a budget, sold to customers or raised a family, you know what good looks like. You can spot when something sounds right but isn’t. That’s the most useful AI skill there is, and you can’t learn it in an afternoon.

You can see it in the replies. One person spent 30 years writing software and now combines that experience with AI tools to build custom software for businesses. Another is building AI teaching materials for the agriculture industry, in two languages, at 72. A filmmaker who switched careers a few years ago is building AI workflows around their stop-motion and time-lapse work.

None of them threw away their experience to use AI. They put the two together. A 25-year-old can learn the tools as fast as anyone. They can’t download 30 years.

That doesn’t mean everyone is on board. In February 2026, Pew Research found that 58% of Americans aged 50 to 64, and 77% of those 65 and over, don’t use AI chatbots at all.

But here’s what struck me. The tools are no longer the hard part. They now work in plain English, and you can learn the basics in an afternoon. AARP found that 54% of adults over 50 feel confident they can learn and adapt to new technology.

The hard part is something no tool can do for you.

The 9% who are still looking

Read the replies from the people who are still looking, and you hear something different.

“57 here and trying to find something.” “Trying to start something else… have not found the right niche yet.” “Need help. I’m 61. Ex-CEO. Took some time for side projects and looking to resurface.” And the one I keep thinking about: “I’ve never in my life thought so much about my future as I do now at 60. It’s as exciting as it is scary.”

None of them said “I can’t learn AI.” They said, in different ways, “I don’t know what to do next.”

That’s the real gap. AI has made doing things almost free. You can build an app, write a book or start a newsletter in a weekend. But it hasn’t made choosing any easier. When you can do almost anything, it gets harder to decide what to do.

I know that feeling. In 2009 I had no plan. What I had was something I’d always done: explain new technology simply. I’d done it as a teacher and then selling IBM PCs. So at 52 I started a blog, writing at 4:30am before work. It went on to reach 33 million readers. I didn’t become someone new. I went back to something I’d buried.

If you’re over 50 and still looking

If you’re in that 9%, here’s what I’d suggest. None of it needs an app.

1. Look backwards before you look forwards. Write down three times in your life when you lost track of time. What were you doing, and who were you helping? Your next chapter is often hiding in your last few.
2. Ask what people always come to you for. The thing you think is ordinary is often what other people find hardest. Mine was explaining technology.
3. Run a small test, not a big leap. I didn’t quit my job. I wrote before work for four years. Give yourself 30 days and one small project. Make something, and show it to someone.
4. Use AI as a sparring partner, not a fortune teller. Tell it your story and ask it to point out patterns you can’t see. Then decide for yourself. The judgment is yours, and that’s where 30 years of experience pays off.

Why I’m building Zyrro

This is the problem I’m building Zyrro to solve. Two questions come back again and again after a long career: who am I now, and what should I do next?

Zyrro starts with 13 questions about your life and work. It reads the patterns in your answers and shows you your strengths, what gives you energy and directions that fit who you are now. Then it helps you take small steps, because a direction you never act on changes nothing.

It isn’t a personality test that puts you in a box. It’s closer to a mirror that shows you what’s already there.

We’re opening it first to the people on the waiting list. If you’re over 50 and wondering what comes next, you can join the waiting list here. It’s free, and all it asks for is your first name and email.

The second half is for starting

One simple question told me something the headlines miss. People over 50 aren’t being left behind by AI. Many of them are using it to build the things they always wanted to build.

What holds people back isn’t the technology. It’s the old script, and not knowing what to write in its place.

The 83-year-old starting life all over again didn’t ask permission. Neither did the 73-year-old roasting coffee, or the 55-year-old with the NASA contract.

So here’s my question for you. If the old script disappeared tomorrow, what would you start?

Sources

• Replies to @jeffbullas, “Anyone over 50 starting something new right now?”, 11–12 November 2026 (thread on X)
• Kauffman Foundation, Who Is the Entrepreneur? United States, 1996–2021
• Azoulay, Jones, Kim and Miranda, “Age and High-Growth Entrepreneurship”, summarised by Kellogg Insight
• AARP, 2026 age bias survey
• AARP, artificial intelligence survey of adults 50 and over, 2025
• Boston College Center for Retirement Research, reported by The Next Web, July 2026
• Pew Research Center, Majority of Americans 50 and older don’t use chatbots, February 2026
• Jeff Bullas, AI Over 50 study

The post I Asked Nearly 100 People About Starting Again After 50. AI Wasn’t the Hard Part appeared first on jeffbullas.com.

* This article was originally published here

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The Front Door Is Closed. Build a Side Door.

In 2015, three economists sent more than 40,000 job applications to real employers in 12 American cities. The CVs were fake and almost identical. The only thing they changed was the age.

The older applicants got far fewer calls. For office admin jobs, women aged 64 to 66 were called back 47% less often than women in their early thirties. Same skills. Same experience. Different birth year.

I didn’t need a study to tell me that. I lived it.

700 doors

At 51, my business collapsed. My marriage ended in the same season. So I did what you are supposed to do. I wrote a CV and started knocking on doors.

I sent about 700 job applications. I tailored the letters and followed up. Most never replied. The few that did were polite, brief and final.

No one ever wrote “too old.” No one had to. The silence said it for them.

I remember the quiet shame of it. I had run a business. I had sold technology through the early days of the IBM PC. I had more experience than ever, and the market acted as if it counted against me.

In March 2009, at 52, I tried something else. I started a blog with about $10 on a free WordPress site. A week later, a day job finally came through. But the real door had already opened, and it wasn’t the one I had been knocking on.

My first post was a few lines about Twitter and Jennifer Aniston. It ended with three words: “Watch this space.” I had no idea I was really writing them to myself.

The front door

Let’s be clear about the villain. It isn’t a hiring manager or a recruiter. Most of them are decent people doing a hard job with too many applications on their desk.

The villain is the front door itself. It is a system built to sort strangers fast. It reads your CV, counts your years and makes a guess. For people over 50, it keeps making the same guess.

The study I opened with was run by David Neumark, Ian Burn and Patrick Button, and published by the Federal Reserve Bank of San Francisco. They tested five sets of jobs. In every one, the oldest applicants got the fewest calls.

The study looked at lower-skilled jobs, and the gap was largest for women. But the direction never changed. Every time, the oldest CV lost.

This isn’t one old experiment either. In a survey published in January 2026, AARP asked 1,656 American workers over 50 about age bias. 64% said they had seen or experienced it at work. 22% said they felt they were being pushed out of their jobs. And of those who had seen it, 91% said it was common.

That isn’t a few bad bosses. That is a system doing what it was built to do.

A new lock on the door

Here is the part that should worry us. The front door is getting a new lock, and it is made of software.

Many large employers now use AI to score, sort and rank applicants before a person ever sees them. In 2023, a job seeker named Derek Mobley sued Workday, a company that makes these screening tools. He said he applied for more than 100 jobs at companies using its software and was rejected every time.

In May 2025, a federal judge in California allowed his age claim to go forward as a nationwide collective action for applicants aged 40 and over. Nothing has been proven yet, and Workday says the case lacks merit. But the question in that courtroom is the question of our time. What happens when an old bias is copied into a faster machine?

It stops being silence from one employer. It becomes silence at scale.

The filter doesn’t hate you

This is the sentence I wish someone had said to me at 51.

“The filter doesn’t hate you. It just counts you”.

It counts your years. It counts the gaps. It counts the keywords you forgot to use. It has no idea who you are, what you have survived or what you could build next. It was never built to know.

That changes what you should do about it. You can’t argue with a filter, and you can’t charm it. You can spend two years polishing your CV for a machine that has already decided. Or you can stop knocking on that door and find another one.

The side door

The blog was my side door. Nobody screened me. Nobody asked my age. People read what I wrote, and if it helped them, they came back.

My first big invitation didn’t come from a recruiter. It came from a reader. Jonny, who owned a golf resort in New Zealand, emailed to ask me to run a paid workshop there. The next invitation was to speak in Italy, and they flew me business class.

No CV was involved. The work was the CV.

What kept me going in those early years wasn’t confidence. It was evidence. A comment from a stranger. A reader in a country I had never visited. An email from someone who had tried what I wrote about, and it worked.

Every small reply was proof that someone could see me, even when the front door couldn’t.

Over the next decade, that blog reached 33 million readers in about 190 countries. The front door said I was finished. The side door said I was just getting started.

I’m not telling you this to boast. I’m telling you because the data says my story is less rare than it looks.

Economists Pierre Azoulay, Benjamin Jones, J. Daniel Kim and Javier Miranda studied about 2.7 million US founders. Among the fastest-growing new firms, the average founder was 45, not 25. A 50-year-old founder was about 1.8 times as likely as a 30-year-old to build one of the fastest-growing 1 in 1,000 firms.

Think about that. The same market that won’t call you back is being built, quietly, by people your age.

Experience doesn’t stop being valuable at 50. It just stops being readable at the front door.

What AI changes

This is where I part ways with the gloom.

AI is putting a stronger lock on the front door. But it is also handing out keys to the side door, to anyone who wants one.

When I started in 2009, the hardest part wasn’t the writing. It was the technology. I didn’t know how to set up WordPress, and some days I wanted to throw the computer out the window. Today that wall has gone. You can ask AI to help you build a website, shape an idea, draft a plan or turn 30 years of experience into something people can see.

I’ve watched this happen in real time. Since July I have been running an experiment on X, and with AI’s help I analysed 3,660 replies from about 2,020 people. One theme kept coming back, most of all from people over 50. In their own words, they said some version of the same thing: AI had let them back in.

Back into skills they thought they had lost. Back into ideas they had shelved for years. Back into work that felt like theirs.

Last month I posted two short lines on X: “I’m 69. I’m supposed to be thinking about retirement.” It became one of my best posts of the year, with more than 18,000 views, 358 likes and 185 replies. The replies were not really about retirement. They were about being written off, and refusing to accept it.

It isn’t only my readers. A report from LinkedIn and AARP found that over five years, the number of workers over 50 listing skills like AI on LinkedIn grew by 25%. That is nearly double the growth rate for younger workers.

The story that older people can’t keep up with technology is out of date. Many are not just keeping up. They are using it to build a way around the door that shut them out.

The hard part

I want to be honest about what a side door costs.

“Just start something” can sound easy when you are not the one paying the rent. I know it isn’t. That is why I am suggesting small steps, not a leap off a cliff.

A side door isn’t a guaranteed paycheck. My blog paid nothing for a long time. I wrote at 4:30am, five days a week, with hardly any readers and no proof it would work. Most side doors look like dead ends for the first year.

And not everyone can wait. If you need income next month, keep applying. Knock on the front door, and push back on age bias where you find it.

Just don’t make the front door your only door. That is the trap. It hands a system that was never built to see you the final word on what you are worth.

Three ways to start your side door

1. Make one thing people can see. Not a CV, but a piece of work. Write about a problem you have solved fifty times. Record a short video. Build a simple tool with AI. A CV tells people what you did. Visible work shows them what you can do.
2. Use AI to build, not just to apply. Most people over 50 use AI to polish job applications for the filter. Flip that. Use it to help you make the thing itself: the website, the first draft, the plan. Let it handle the technology that used to stop you.
3. Share it where people gather. Post it. Send it to ten people who would care. Reply to people in your field with something useful. Each small act opens a door that no filter controls.

You don’t need 700 doors. You need one that answers.

The question

At 51, I thought the front door was the only door. I knocked 700 times and blamed myself for the silence.

At 69, I see it differently. The silence wasn’t a verdict on me. It was a system doing what it was built to do: counting instead of seeing.

The front door may stay shut. That doesn’t end your story. It may be where the next chapter starts.

So here is my question for you. If no one were checking your age, what would you build?

P.S. Not sure what your side door is?

That is the question I built Zyrro to help answer. You answer 13 open questions about your life and work. Zyrro reads the patterns in your story: what energises you, what drains you and the themes that keep coming back. Then it helps you choose a path and take small steps in the real world.

Zyrro is opening soon to a small group of early testers. If you would like to be one of them, join the waiting list at zyrro.ai.

Sources

1. Neumark, Burn & Button, “Age Discrimination and Hiring of Older Workers”, FRBSF Economic Letter 2017-06
2. AARP Research, age bias survey of workers 50+, January 2026
3. Holland & Knight, “Federal Court Allows Collective Action Lawsuit Over Alleged AI Hiring Bias” (Mobley v. Workday), May 2025
4. Azoulay, Jones, Kim & Miranda, “Age and High-Growth Entrepreneurship”, NBER Working Paper 24489 / AER: Insights 2020

The post The Front Door Is Closed. Build a Side Door. appeared first on jeffbullas.com.

* This article was originally published here

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I Had 535,000 Followers. Why Was Nobody Seeing Me?

In 2009 I cracked the code on  how to grow an audience on Twitter. Followers were everything then when the social media algorithm  was the social graph. That meant that if people followed you, they saw what you posted, so I spent years building a following and working with the system. And I had a significant 535,000 followers. That was the old game.

But 17 years later, on June 24, 2026, my posts were only seen about 200 times. The social media term for that is “impressions”. The reality is that compared to 2014, I was almost invisible. The new interest graph pioneered by TikTok had changed the game.

The gap between the old and the  new was vast and it meant that my investment of time and money back then was now worth almost zero.

The gap

That gap is the story and the history of social media. 

The platforms have moved from the social graph, where the people who follow you decide who sees you, to the interest graph, where the algorithm decides what each person is interested in and shows them that. 

Your followers are now one signal among many. And the feed you’re competing in is filled with content that AI can produce in seconds, at almost no cost, without end.

The experiment

So in June I started an experiment. 

I’m 69, and I wanted to know whether I could crack the code a second time: how do you get seen on the interest graph, in a flood of AI content? I posted every day and used AI to analyse every number X gave me.

Four months later, my posts have been seen 2.7 million times since 1 July, and I’ve gained more than 3,000 followers. In October I averaged 35,000 views a day. 

When I started, it was 200.

But views don’t tell you who is listening. So this week I went back through every reply to my posts since July: 3,660 replies from 2,020 people. I used AI to help me sort and count them.

Followers no longer decide who sees you

The clearest sign is in my own replies. Only about one in five of the people who replied to me were following me. If they’re any guide, most of the people seeing my posts weren’t on my follower list at all. X “had” decided that they’d be interested.

To be fair, the algorithm isn’t hiding me from every old follower. Many accounts from 2009 to 2015 are no longer active. But even allowing for that, a typical post today reaches less than 1% of my followers. The audience I spent years building now buys me very little reach.

So what does get you seen? So using X as a platform to do some research from the 3,660 replies that had responded to my posts on X. And these are the insights that have changed how I create content and how I use social media on X. 

1. Name the feeling

On the interest graph, the algorithm watches what people stop for, and shows the post to more people like them. So the question is what makes a stranger stop.

Since early October I’ve posted ten questions in the same format. Four of them took off, reaching between 12,600 and 25,100 people. The other six stalled below 3,600.

The difference wasn’t the time I posted or the length. Every question that took off asked how AI makes you feel. “Does AI make you feel left behind, or let back in?” drew 283 replies. “Has AI made you more excited about your future, or more uncertain?” drew 313.

The ones that stalled asked practical questions, such as whether starting again is harder now than at 30, or who still asks for your advice. They were fair questions. But they asked people to think, not to feel.

People don’t stop for a topic. They stop for a feeling they recognise in themselves. A machine can produce endless content about AI. It’s much harder to fake the moment someone reads a question and thinks, “that’s me.”

Even so, only about one in three of those questions broke through. The answer isn’t to post more. It’s to take more shots with the kind of post that can land.

2. Write for an audience, not a topic

The interest graph doesn’t only decide how many people see you. It decides which people. Write broadly and it will find you a broad crowd.

From July to September I wrote about AI in general: its risks, its paradoxes, what it does to thinking. Those posts drew a crowd, but the wrong one. About four in ten of the real people replying were debating AI itself. Very few were thinking about their own next chapter.

In October I narrowed the lane. I wrote for experienced people working out what AI means for their own work and life. Since mid-October, nine in ten of the real people replying fit the four groups I’m building Zyrro for:

• Builders making something new: 30%
• Rediscoverers getting back skills and energy they thought they’d lost: 22%
• Defenders of experience, arguing that judgment matters more now, not less: 20%
• People who feel threatened or worn out by the pace of change: 18%

A community is starting to form. About half of the people replying since mid-October had replied before, and 232 people have now replied across more than one period. Compare that with the July to September crowd: only 98 of 582 came back in October.

The posts that brought the most followers were personal, not clever. A post about why I’m not retiring brought 304 profile visits and 41 new followers in a day. The story of the year my business collapsed and my marriage ended brought 524 profile visits, more than any post since July. Personal detail tells the algorithm, and the reader, exactly who you are for.

3. Count people, not replies

This was a surprise. The flood of AI content isn’t only in the feed. It’s in the replies.

As I read, I kept seeing the same kind of reply: polished, agreeable, and saying back to me what I’d just said in slightly grander words. “The good question is the hard bit, the agent will happily answer a bad one.” One account had replied to me 72 times. Its bio said it was building a tool that writes replies for people.

So I counted. In July to September, about four in ten replies to my posts read as machine-written. Since mid-October it’s about one in four, from 139 different accounts.

This isn’t just my account. Imperva’s 2025 Bad Bot Report found that bots made up 51% of all web traffic in 2024. The machines aren’t only reading the internet now. They’re joining the conversation.

The effect is easy to miss. Reply counts no longer measure connection. If you judge your content by its replies, you are partly judging how attractive it is to software. I now count people: profile visits, new followers, and real people who come back.

4. Reply more, don’t post more

When anyone can publish endless content, adding more of your own is the weakest move. I learned that the hard way.

In the week of 20 July I posted 22 times a day, and at first it worked. Views jumped from about 7,000 a day to 55,000. So I kept going at close to that pace into August. Reach fell week after week.

In October I posted about 8 times a day. Views were higher than in August, and profile visits per 1,000 views tripled, from 1.0 to 3.1.

When I lined up the daily numbers, profile visits barely moved with how many posts I published. They moved with how many replies I wrote to the people in my threads. Posting is the shop window. Replying is the conversation that brings someone inside. And a real conversation is the one thing the flood can’t copy at scale.

There’s a cost to this, and I should be honest about it. I did all of it by hand, and replying became a treadmill. The next stage has to fit into about an hour a day.

5. The people reading aren’t always the people replying

The replies told me who was talking. X’s own audience data told me who is listening, and they are not quite the same people.

The people who click through to my profile are older than the people who reply. Over the past week, 68% of them were 45 or older, and one in four was over 65. Four in ten of the people who reply are between 25 and 44.

That gap matters. The quiet readers read, think and then visit my profile to decide whether I’m worth following. Most of them never reply to anything. If I judged my work only by the replies, I’d end up writing for the wrong people.

The bios of the people who do reply tell the rest of the story. One in four works in tech or software, one in five is focused on AI and one in five runs a business. Most are not influencers: 61% have fewer than 500 followers. These are working people trying to work out what comes next.

What this means if you’re trying to be seen

If you built an audience the old way, those followers aren’t wasted. But they no longer guarantee that anyone sees you. Each post now has to earn its reach from strangers.

You don’t need a big following for any of this to apply. Most of the people replying to me have fewer than 500 followers. The lessons work at any size.

• Stop counting followers. Watch profile visits and new followers per post instead. They tell you whether strangers liked what they found.
• Write to a group of people, not about a subject. “AI” is a subject. “Experienced people working out what AI means for their work” is an audience. The second one tells you what to write next.
• Name the feeling. Ask how something makes people feel, and they’ll answer from their own life. Ask what they think, and you’ll get a debate.
• Tell your own story, odd details included. The posts that earned followers were personal and specific: a year, a loss, a decision. Polish is cheap now. Detail is not.
• Count people, not replies. Likes and reply counts now include a lot of software. Profile visits and new followers are harder to fake.
• Spend your time on the people who come back. Replying to the same real people again and again is how the following becomes a community.

One caution. 

This is one account, on one platform, over four months. X decides who sees each post, and it can change the rules tomorrow. That’s why every win on X has to end somewhere I own: an email address, a newsletter subscription or a waitlist.

What I’m doing next

The experiment showed that visibility can come back, even after years of shrinking reach and even in a flooded feed. Now it needs to turn into something lasting. Here is the plan for the next month:

• Two feeling questions a day, and a record of which ones break through.
• About an hour a day of replying, spent on real people, especially the ones who keep coming back.
• A weekly scorecard with five numbers: views, profile visits, new followers, real replies and sign-ups to the Zyrro waitlist.

That last number matters most. And the reason why is the real lesson of these four months.

What 535,000 followers couldn’t tell me

In 2009 I was 52 and starting again after my business collapsed. I got up at 4:30 every morning to write before the day began. Every new follower felt like proof that someone out there was listening.

So I chased the number. For years it went up, and I took that as a sign I was being heard. I never asked who those people were, or why they came, or whether they were still there.

A follower is someone who once clicked a button. That’s all. The number can’t tell you if they still read you, or what they need, or whether you’ve ever helped them.

The 2,020 people who replied this year told me far more. So did the quiet readers who never replied at all. One in four of the people who visited my profile last week was over 65. My guess is that many of them are where I was in 2009: good at something, unsure what comes next, and wondering if it’s too late to start.

That changed what I think being seen means. In a feed full of machine-made content, being seen isn’t about reach. It’s about being recognised by the right people for the right thing. And nobody can recognise you for something you haven’t worked out yourself.

My reach didn’t come back when I found a better posting time or a cleverer hook. It came back when I decided who I was writing for and what I wanted to be known for. Everything else followed from that.

That’s the hard part. Not the algorithm. Not the schedule. Knowing what you want to be known for next.

Most people with long careers never get asked that question. They get asked what they do, or when they’ll retire. Nobody asks what they want the next 10 or 20 years to stand for.

That’s why I’m building Zyrro.

It’s an AI tool for people with long careers who aren’t sure what comes next. You share the stories of your working life. It finds the strengths running through them, shows you four possible paths and gives you a small first step to take this week.

When I started this experiment in June, I wanted to know one thing. Could I still be seen?

Four months and 3,660 replies later, I’ve found a better question. Seen by whom, and for what?

535,000 followers taught me how to be counted. 2,020 people taught me how to be found.

So here’s my question for you. If the right people found you tomorrow, what would you want them to find?

Join the Zyrro waitlist

You’ve spent decades building experience. Zyrro helps you work out what to do with it next.

Tell it the stories of your working life. It will show you the strengths you keep coming back to, four paths worth testing, and one small step to take this week.

We’re opening Zyrro first to a small group of early testers. If you’ve read this far and thought “that’s me,” I’d like you to be one of them.

Join the Zyrro waitlist →

This is how I did it

The numbers: X Analytics exports for my account, July to October 2026, plus X’s audience breakdown for the past week.

The replies: every reply to my posts from 7 July to 22 October 2026, read along with each replier’s public bio. Each reply was sorted into a group by what it said. For July to September, the shares come from a random sample of 360 of 1,408 replies.

“Real” replies means replies from people, leaving out machine-written replies, one-word replies and sign-ups to a test I ran.

The limits: this is one account on one platform. Only 127 people stated their age, and X’s age figures are its own estimates.

The help: I used Claude to collect, sort and chart the data. The conclusions are mine to defend.

The post I Had 535,000 Followers. Why Was Nobody Seeing Me? appeared first on jeffbullas.com.

* This article was originally published here

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What 733 People Over 50 Told Me About AI (Original Research)

Executive summary

In one week in October 2026 I asked people on X three things about AI and age. The 733 replies, from about 675 people, were each coded by stance, theme and stated age. Here is what they show.

• AI is making people over 50 more capable, not obsolete. 53% of 279 people answering my over-50 question said AI had opened doors back into work and opportunities they thought had passed them by. Another 12% said both. Only 3 people (1%) felt simply left behind.
• What AI restores is capacity. The biggest theme was people doing again what age, time or missing skills had stopped them doing. Learning, judgment and ageism followed.
• The deeper fear is not being needed. Repliers rarely feared the technology. They feared being overlooked, ending up with “nobody needing you”, and thinking less without noticing.
• Those who feel “both” are often the disrupted. People whose careers or businesses AI has shaken feel capable and threatened at the same time.
• Dependence is the real tension. Almost one in five replies to my dependence question said it is already happening. Only 19% named a clear line. The most popular rule: think first, then ask AI.
• The young are more worried than the old. National surveys show under-30s are far more pessimistic about AI and creativity than over-65s. Some older repliers worried more about their children than themselves.
• How you ask decides who answers. Posts that named an age drew warm, personal replies. A general AI post drew almost no stated ages and around four times the hostility. A personal statement earned at least three times the profile visits of a question.

The implication: the over-50 opportunity is not teaching tools. It is helping experienced people see what their judgment is worth now, who needs it, and how to use AI without handing over the thinking that made them valuable.

A question I didn’t expect to matter

Last Sunday night I posted a simple question on X. “Honest question for anyone over 50. Does AI make you feel left behind, or let back in?” I added that I had felt both in the same week. That was true.

I expected a few dozen replies. By Thursday there were 279. The post was seen more than 18,000 times. Then I posted two more. One was a statement: “I’m 69. I’m supposed to be thinking about retirement. Instead I’m thinking about what I can build next.” The other was a worry: “At what point does assistance become dependence? Where would you draw the line?”

Together the three posts drew 733 replies from about 675 people. I read every one. Then I coded them by stance, theme and stated age, with AI doing the first pass and me checking the results. What came back challenged the story we usually tell about older people and AI. It also changed how I think about what people over 50 actually need.

Why I’m in the data

I started my blog at 52, after my business fell apart. I wrote at 4:30am because it was the only quiet time I had. Nobody was waiting for a 52-year-old to reinvent himself. The internet let me do it anyway, and the blog went on to reach millions of readers.

Now I’m 69 and building again, this time with AI. So when people talk about older workers and AI, I’m not observing from a distance. I’m one of the data points. That is why I wanted to hear from others in the same boat, in their own words, rather than in a survey’s tick boxes.

Surveys tell you what people choose from a list. Replies tell you what people say when nobody gives them a list. Both matter. This piece puts the two side by side.

Where does your experience fit now?

This research is shaping what I’m building. Zyrro is an AI mentor that helps experienced people see what their experience is worth now, and who needs it.

You answer 13 questions in your own words. You get a free report on your strengths, what energises you and the themes that keep showing up in your life. The first group of testers starts soon.

Reserve your spot on the waiting list →

Finding 1: Most say AI is making them more capable

The headline is clear. Of 279 replies to the over-50 question, 53% said AI had let them back in. Another 12% said both, and 17% said neither. Only 3 people, about 1%, said they simply felt left behind.

Chart 1. Stance of 279 replies to the over-50 question.

That is not the story we usually hear. The usual story says older people are the ones AI will leave behind. The people who replied told a different story. A 57-year-old moved a 10-year-old game to a new platform. “Usually, this would have been a six-month task, now five hours.” Another reader put it more simply:

I am a woodsman that had a hatchet and now have a chainsaw.

Of course, this is not a random sample. People who reply to me on X are curious about AI. But the result still matters. Among people over 50 who are paying attention, fear is not the main feeling. Possibility is.

It also matters what “neither” meant. Most of the 17% were not afraid. They saw AI as “only a tool”, or said they had never felt out in the first place. Calm, not anxious.

Finding 2: What AI gave back was capacity

When I coded what people actually said, one theme stood far above the rest. AI had given back capacity they thought was gone. Not new ambitions so much as old ones they could finally act on.

Chart 2. Main theme of each reply, over-50 thread (one-word answers excluded).

One man approaching 60 wrote that his capacity had become more limited with age. “AI is lifting that limit.” Another reader said they could no longer work at the level of their 20s and 30s. “Now, I can get more done than I did back then.” A third could finally act on thinking they had carried for years but “lacked the skills to make it real.”

Some of the most moving replies were about identity, not output. One reader described it as “picking up a part of myself I’d put down.” A writer said AI had eased the loneliness of the craft by giving her “someone to point out your errors or inspire you to new heights.” Another wrote that AI had brought coding back into their life after eye and back strain made it too hard.

Two other themes matter for anyone over 50. The first is judgment. One reply said the tool is the part a 25-year-old can buy. “Knowing which customer exception actually counts after 1,000 tickets? Not for sale.” The second is ageism. “For the most part, AI has pushed ageism off the board,” wrote a former advertising creative director. Before AI, he said, nobody would hire you with more than 15 years of experience.

There is a money side too. One founder wrote that what once would have taken “years and millions of dollars I can now execute alone for a couple of thousand dollars.” For people with decades of knowledge and limited runway, that changes the maths of starting again.

Finding 3: Those who feel “both” are the disrupted

The 33 people who said “both” are worth a closer look. They were not confused. Many were people whose careers or businesses AI had shaken.

Chart 3. Main theme of the 33 replies that said “both”.

One wrote that AI had “caused disruption to my existing business model so am back to start-up mode at 53.” Others were learning fast but struggling to keep up. One reader summed it up in a single line:

AI can make you feel obsolete and capable again in the same afternoon.

This is the group that most needs help, and the group most likely to be missed. They are not sceptics and not cheerleaders. They are in the middle of a career change they did not choose.

Finding 4: The real fear is not being needed

My retirement post drew a different crowd. The middle stated age was 62, against 55 on the over-50 question. Most of them were in their 60s and 70s. The oldest was 80.

Chart 4. Stated ages of repliers on the two age-focused posts.

Most of these replies were celebrations. “I’m 75 and never retiring.” A 65-year-old now works as an AI enablement specialist. A 59-year-old who was called to the bar in 2023 now spends his days steeped in code and regulations, with “a 30 year work plan ahead.” A man of almost 76 is registering a new business next week. One reader’s mother, at 83, says she “hasn’t got enough time to retire anymore.”

But one reply, from a 63-year-old, named something deeper:

The script isn’t really the problem, it’s that it ends with nobody needing you.

I think he is right. The fear is not stopping work. It is stopping being needed. A 65-year-old put the same fear another way. They have the domain expertise, they wrote, “but that 65 has people not reaching out to me.” Another reader framed the opportunity: “judgment at 69 is a different asset than energy at 29.”

This lines up with wider research. In a survey of 1,505 American adults published by Elon University in September 2026, 64% agreed that by replacing humans in most tasks, AI will undermine our sense of purpose and meaning. 69% said it will weaken human bonds. Purpose, not productivity, is the deeper worry.

The tension: are we thinking less?

Not everyone was cheering. My third post asked where people would draw the line between assistance and dependence. Its 282 replies were the most divided of the three.

Chart 5. Replies to “Where would you draw the line?”

Almost one in five said dependence is already happening. One reader watched colleagues “who far outrank me in experience and education” struggle “to think even simple concepts without asking AI.” Another admitted: “Forgetting how I once did things.” Several used the GPS comparison. Use it or lose it. One reader put it bluntly: “AI is doing to thinking what social media did to attention spans.” A 56-year-old engineer said we crossed that line decades ago, when schools stopped asking students to show their working.

Others said the opposite. A retired reader wrote that he had “used more math in the last 12 months than I did in the preceding 30 years of career.” Another said he had never read so much in his life. Same tool. Opposite result.

One reply reframed the problem. Dependence, he argued, is not driven by laziness but by “impatience and anxiety”. The world moves too fast, so people reach for the fastest answer. Another offered a simple test for when you have crossed the line: when someone asks you a question and you “can’t answer it without having the urge to use AI.”

The same Elon survey captures both sides. Among people who use AI chatbots, 51% said they feel lazy or take shortcuts at least some of the time, and 39% said they are growing too dependent. Yet 52% said AI had improved their motivation to learn new skills, against 5% who said it made it worse.

The research suggests the difference is how you use it. In a study by Microsoft and Carnegie Mellon of 319 knowledge workers, more trust in AI went with less critical thinking, while more self-confidence went with more. In a small MIT Media Lab study (54 people, not yet peer reviewed), most people who wrote essays with ChatGPT could not quote their own work afterwards. The group that wrote first and used AI second stayed the most engaged.

The most-liked reply in the thread, with 21 likes, said the same thing in one line. “Formulate your own ideas first, then use AI to challenge, refine and expand.” Other readers had their own versions. One asks AI to find sources she then reads herself. Another never uses AI on a topic they don’t already know, because they couldn’t spot its mistakes. A writer never uses AI to write, because “what sells is my style.” Someone whose agency runs 90% on AI agents said the line is “taste and final accountability.”

One reader made the point with humour. He asked AI where to draw the line. “It recommended independent thinking, then offered to do it for $20 a month.”

The young are more worried than the old

Here is a twist the headlines miss. Older people are not the most worried about AI. The young are.

Chart 6. Pew Research Center, US adults, 2025.

The Pew Research Center found that 61% of Americans under 30 expect AI to make people worse at thinking creatively. Among those 65 and older, it was about four in ten. Under-30s were also more likely to expect AI to damage relationships.

My replies showed the same pattern from the other side. Some of the deepest worry was not for themselves. “What actually keeps me up is my adult kids,” one parent wrote. “They’re trying to get a first job competing against agents.” Another reader turned an old joke around. Parents used to ask their kids for tech help. Now, he said, “they now come to me when they need help using it.”

There is resentment too, and it deserves honesty. One younger reply said: “Because you won’t retire, an entire generation is struggling.” That is a real tension. If experienced people now have more leverage, the question of how they make room for the next generation becomes more urgent, not less.

A surprise: how you ask decides who answers

The three posts drew three different crowds. The two posts about age drew people who shared their age and their stories. The general post about AI dependence drew almost no stated ages and around four times the hostility. One person replied with two words: “Thanks Gramps.”

Chart 7. Share of replies stating an age, and share dismissive or hostile.

The posts also performed differently. The personal statement about retirement earned 19.6 likes and 15.6 profile visits per 1,000 views. The questions earned more replies but far fewer visits. A question starts a conversation. A personal story makes people want to know who you are.

Chart 8. Likes, profile visits and replies per 1,000 views.

There is a lesson here beyond social media. If you are over 50 and want to be found, lead with your story and your age. Hiding it attracts the wrong crowd. Owning it attracts your people.

What the cheerleaders miss

Not every reply was a victory lap, and the doubts deserve space. One man has been retired for 17 years and is “happily doing basically nothing.” Another wants naps, a cello and the beach. They are not wrong. As one reader put it, retirement “was designed around a world where capability faded with age and tools stayed the same.” Retirement is not the problem. Being told when to do it is.

Others warned about the cost of too much possibility. One reader took a month off after pushing himself to “near mental exhaustion.” Another warned: “Watch the burnout, this fun can quickly take over.” A third described building as “a new drug.” He said he was addicted to “building shit nobody wants because I can now.” AI makes building easy. It does not make finding the people who need it any easier.

And there are practical barriers. A 70-year-old wrote that coming out of retirement would cost him more than $80,000. For many people, the choice to keep working is shaped by tax, pensions and health, not just by mindset.

Six kinds of people in the replies

Reading 733 replies, six groups kept appearing. They are not neat boxes, and many people fit more than one. But they help explain why the same technology feels so different to different people.

1. The capacity restorers

The largest group. Age, energy or missing skills had limited them, and AI has lifted the limit. They want to do more of what they already know.

2. The rediscoverers

People picking up an old passion or an old self: music, coding, writing, a game they built a decade ago. For them AI is less a tool than a door back to who they were.

3. The solo founders

People building a business alone that once needed a team and capital. They are energised, but some are building without a clear customer.

4. The disrupted reinventors

People whose careers or businesses AI has shaken. They often answered “both”. They need direction more than tools.

5. The overlooked experts

People with deep knowledge who feel invisible. AI gives them power, but not yet an audience or a market. Their fear is not being needed.

6. The content retirees and sceptics

People who are happy as they are, or who see AI as just a tool. They are a useful check on the hype, and they deserve respect, not persuasion.

Why it matters

Put these findings together and a clear picture emerges. Most people over 50 in this sample are not afraid of AI. They are afraid of being overlooked, of no longer being needed, and of thinking less without noticing.

That is a very different problem from “learn to use the tools.” The tools are the easy part. The hard part is knowing what your experience is worth now, who needs it, and how to use AI without handing over the thinking that made you valuable in the first place.

For employers, the lesson is that experience plus AI may be the most underpriced combination in the workforce. For creators and builders, the over-50 audience is not a group to be rescued. It is a group to be served, with different needs in each of the six groups above. For the rest of us, it is a reminder that a long life of learning does not have to end with a script someone else wrote.

What to do with this

1. Think first, then ask. Write your own view before you open the AI. Use AI to challenge it, not replace it.
2. Name your judgment. Write down the decisions you can make that a 25-year-old with the same tools cannot. That list is your edge.
3. Lead with your story. Your age and experience attract the right people. Hiding them attracts the wrong ones.
4. Build for someone. Before you build, name the person who needs it. Possibility without a customer becomes a hobby.
5. Find who needs you. Make a list of people your experience could help this year: a younger colleague, a small business, your own children.
6. Keep one skill manual. Choose one thing you will always do yourself, whether it is writing, maths or reading a map. Treat it like exercise.
7. Protect your energy. The excitement is real. So is burnout. Decide your stopping time before you start.

How this research was done

This is a small, honest study, not a poll. The replies came from three of my posts on X between 4 and 8 October 2026: the over-50 question (279 replies from 262 people), the retirement statement (172 from 165) and the dependence question (282 from 270). I collected every visible reply on 8 and 9 October.

Each reply was given one stance and one main theme. AI did the first pass and I checked the results by hand. Ages were counted only where people stated their own age, so the age figures cover 36 and 31 people respectively. Engagement figures come from my X analytics export.

The limits matter. Repliers chose to respond, so the sample leans towards people curious about AI and towards people who already follow me. About six in ten of the people who like my posts are 55 or older and about six in ten are in the US. About eight in ten are men. A survey of Facebook users or retirees offline might look very different. Quotes are from public replies, and I have left out names.

One question to leave you with

A reader who had just turned 51 told me that time usually speeds up as you get older. With AI, he wrote, “for me it feels like it is slowing down.” More gets done in a day, so the days feel bigger.

I feel that too. At 69 I have more ideas than time, and for the first time in years the tools are not what is holding me back. The real question is the one my 63-year-old reader raised.

If AI has given you back some capacity, who will you use it for?

Find out what your experience is worth now

The people in this research didn’t ask for more AI tools. They asked a harder question: what is my experience worth now, and who needs it?

That’s the question Zyrro is built to help you answer.

1. Answer 13 questions in your own words. Zyrro asks before it suggests anything.
2. Get your free report: your strengths, what energises and drains you, and the patterns that keep showing up.
3. Explore four possible paths for your next chapter, with a seven-day plan to test one in the real world.

It’s designed so you think first and need it less over time. The first group of testers starts soon.

Join the Zyrro waiting list at zyrro.ai →

The post What 733 People Over 50 Told Me About AI (Original Research) appeared first on jeffbullas.com.

* This article was originally published here

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