It’s 2036. This Is What We Do With AI Now.

I woke up this morning and my day was already half-organized. Not by an assistant. Not by an app. Just… organized. The way your house is already warm when you wake up because the thermostat learned your patterns years ago.

My calendar had been adjusted because a storm was going to delay a colleague’s flight. My presentation had already pulled in the latest data I’d need. A draft of a note I’d been meaning to send was sitting there, waiting for me to read it over and hit send. I didn’t ask for any of that. I haven’t “asked” AI to do something in years.

That sentence would have confused me in 2026. Back then, asking was the whole point.

Remember Prompting?

Ten years ago, we used to sit in front of a text box and type instructions. Carefully. Deliberately. Like we were writing a letter to a very smart but very literal stranger.

“Write me a 500-word blog post about leadership. Use a conversational tone. Include three actionable takeaways. Don’t use tech lingo.”

People got good at this. They called it “prompt engineering.” They put it on their LinkedIn profiles. Companies hired for it. There were courses. Certifications. I’m not making fun. I was right there with everyone else, learning how to talk to the machine in a way the machine could understand.

But think about that for a second. We were adapting our language to fit the technology.

That’s the part that makes people laugh now. Not because it was stupid. Because it was so obviously a transitional moment, and none of us could see it. We thought we were learning a skill. We were actually holding the door open for something that would make that skill irrelevant within a few years.

Today, AI understands intent. Not instructions. I don’t describe what I want in precise terms. I just… want it. And it’s done. The way you don’t think about how your brain tells your hand to pick up a glass of water. The distance between thought and execution collapsed somewhere around 2031, and most people couldn’t even tell you when it happened.

What We Watch Now

My mother is 96. She lives alone and she’s sharp as ever. Last Thursday she watched a two-hour comedy special starring a comedian she invented. Not a real comedian. Her comedian. A character the AI developed based on decades of what makes her laugh. The timing, the references, the delivery. All calibrated to one person.

She also watched an episode of a show she’s been following for three years. A show nobody else has ever seen. It has recurring characters, ongoing storylines, callbacks to earlier episodes. It remembers what she liked and what she didn’t. It surprised her last week with a plot twist she didn’t see coming, and she called me to talk about it.

I didn’t know what to say, because I haven’t seen her show. Nobody has. It’s hers.

This is normal now. Custom entertainment isn’t a novelty. It’s the default. My neighbor watches a detective series set in 1940s Buenos Aires because that’s what he loves. A friend of mine follows a sci-fi saga that adapts to her mood. She told me the AI gave her a quieter, more contemplative episode last Tuesday because it could tell she’d had a rough day.

The strange part isn’t that this exists. The strange part is what it did to shared culture. In 2026, people bonded over shows. “Did you see last night’s episode?” was a social ritual. That’s mostly gone now. We traded it for something else, something more personal but harder to describe. People share experiences differently. They send each other moments from their own shows. They remix. They collaborate on stories the way people used to collaborate on playlists.

It’s not worse. It’s not better. It’s just different in a way nobody predicted.

What Work Looks Like

I needed a tool last week to analyze speaking engagement data across twelve years of bookings. Patterns, trends, seasonal cycles, fee benchmarks.

In 2026, that would have been a project. I’d have needed a developer, or at the very least a few hours wrestling with spreadsheets and a couple of AI prompts to get something close to useful.

Last week, I described what I wanted while walking to get coffee. By the time I sat down, it existed. Not a prototype. Not a rough draft. A fully functional tool that pulled my data, ran the analysis, and surfaced three insights I hadn’t considered.

I used that tool once. Then it was gone. Dissolved back into the ether. Because that’s what most software is now. Disposable. Created for a moment, used for a purpose, and discarded. The idea of “installing an app” feels as dated as installing software from a CD-ROM felt in 2026.

My mother creates tools like this daily. She made one last month that cross-references her medications with her grocery list and flags anything she shouldn’t eat. She doesn’t know how it works. She doesn’t care. She just said what she needed, and it existed.

No coding. No prompting. No understanding of how any of it works under the hood.

The role of “developer” still exists, but it means something completely different now. Developers in 2036 are architects of systems, not writers of code. They design the guardrails, the ethics, the boundaries. The code writes itself. It always did, really. We just couldn’t see it yet.

What We Lost

I’d be lying if I told you everything is better.

The abundance of custom everything created problems nobody anticipated. When every person can generate any content instantly, the value of creative work shifted in ways that are still shaking out. Musicians, writers, filmmakers, they didn’t disappear. But their role changed. The best creators in 2036 aren’t the ones who produce the most polished work. They’re the ones who have a point of view so distinctive that people seek it out over what the AI can generate on its own.

Taste became the currency. Not skill. Not even talent in the traditional sense. The ability to see something that nobody else sees and articulate why it matters. That’s what’s scarce now.

There’s also a loneliness problem that crept in sideways. When AI can be your perfect conversational partner, your custom entertainment provider, your on-demand collaborator, some people stopped reaching out to other humans. Not everyone. Not most people. But enough that it became a real public health conversation around 2032.

We solved some of it. We’re still working on the rest.

Every technology revolution creates new problems while solving old ones. The internet gave us infinite information and a misinformation crisis. Social media gave us global connection and a loneliness epidemic. AI gave us unimaginable personal capability and a question we’re still answering: what do humans do when the machines can do almost everything?

The answer, it turns out, is the same thing humans have always done. We find meaning in the things machines can’t touch. Connection. Purpose. The specific, irreplaceable experience of being known by another person. Not predicted by an algorithm. Known.

What Surprised Us Most

I’ve been building on the internet since 1995. And the thing that surprised me most about AI wasn’t the capability. I saw that coming from a mile away. The trajectory was obvious to anyone paying attention.

What surprised me was how quickly we stopped being impressed.

By 2030, nobody marveled at AI anymore. It took less than four years from the moment I wrote an article called “You’re Using the Worst AI You’ll Ever Use” to the moment when AI became invisible. Not gone. Invisible. Like plumbing. Like electricity. Like the internet itself.

The generation that grew up after 2025 doesn’t think about AI the way we did. They don’t have opinions about it. They don’t debate it at dinner parties. They don’t worry about it taking their jobs. To them, it’s just how things work. It’s the water they swim in.

That normalization happened faster than any previous revolution. The web took a decade to feel normal. Social media took about seven years. Mobile took five. AI took three. Maybe less.

I think about my early career sometimes. Building websites by hand in 1995. Explaining to business owners why they needed a web presence. Watching people encounter search engines for the first time. All of that wonder, all of that uncertainty, compressed into a pattern I’ve now seen six times.

Each cycle moves faster than the one before it. And each time, the period where the technology feels magical gets shorter.

A Note to 2026

If you’re reading this from ten years ago, and this article somehow made its way to you, I want you to know something.

You’re not in the middle of the AI revolution. You’re at the beginning. The very beginning. What you’re experiencing right now, the wonder, the anxiety, the sense that everything is changing too fast, that’s exactly what the beginning feels like. I know because I’ve seen this movie before.

The future you’re imagining right now? It’s not big enough. It never is. Not because you lack imagination, but because the most important changes aren’t technological. They’re behavioral. They’re cultural. They’re the second and third-order effects that nobody can predict until they’re already happening.

So use your iPhone 17 Max Pro. Marvel at your Fable 5. Craft your prompts and celebrate when they work. You’re not behind. You’re not too late. You’re standing at the beginning of something that will reshape everything, and the fact that you can’t quite see where it’s going is the most normal thing in the world.

I couldn’t see it either. Nobody could.

And it turned out just fine.