Remember WWDC 2025?

That was when Apple unveiled a much smarter, AI-powered Siri that was supposed to understand context, remember things about you, and actually feel intelligent. Then… it didn’t ship. Awkward. Now Apple is finally sharing more details about the next generation of Siri, and it looks like the company is slowly bringing those promised AI features closer to reality.

The new Siri is expected to gain:

In theory, Siri should become less like a voice command system and more like an actual assistant.

Instead of: “Set a timer for 20 minutes.”

You could eventually ask: “Send Aaron the file we discussed yesterday and tell him I’ll be five minutes late.” And Siri would actually understand what you’re talking about. A revolutionary concept, apparently.

For DJs, the interesting part isn’t Siri itself. It’s where AI assistants are heading. Imagine eventually saying:

Without opening five different apps. We’re getting closer to a world where AI assistants become workflow managers instead of search boxes. And DJs spend a lot of time managing workflows.

The race isn’t really about chatbots anymore. It’s about assistants. OpenAI has ChatGPT. Anthropic has Claude. Google has Gemini. Apple has Siri. The winner won’t necessarily be the smartest AI. It’ll be the one that saves people the most time.

Apple is late to the AI party. Everybody knows it. But if they can integrate AI deeply into the iPhone, Calendar, Messages, Photos, and the rest of the Apple ecosystem, Siri could become surprisingly useful. The question isn’t whether AI assistants are coming. It’s whether you’ll still be opening twenty different apps to run your DJ business in five years. Or whether you’ll simply ask. “Hey Siri, prepare Saturday’s wedding.” And it actually does.

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According to new Spotify data, 2026 is officially the most nostalgic year in the platform’s history. Roughly one out of every three streams now goes to a song that’s at least 10 years old, while one out of every six streams goes to a track that’s over 20 years old.

The evidence is everywhere. Billie Jean recently climbed back to #1 on Spotify’s global chart… 43 years after its original release. Meanwhile songs like Dreams, Yellow, Iris, and of course Mr. Brightside continue pulling massive streaming numbers years after they first hit the charts.

For DJs, this is perhaps the least surprising news of the year. We’ve been watching dance floors scream every word to songs from 2003 while politely tolerating whatever was released three weeks ago.

This report confirms something many working DJs already know: People don’t necessarily want new music. They want familiar music. The Spotify report found younger listeners are actually becoming more interested in older songs, with the percentage of 13–24 year-olds who primarily listen to 2020s music dropping significantly over the last few years.

Translation: The next generation is discovering the same throwbacks you’re already playing. Good luck retiring “Yeah!” anytime soon.

Streaming changed everything. In the radio era, listeners mostly consumed whatever was current. Today? Every song in history sits one search away. TikTok, movies, TV shows, playlists, nostalgia trends, and even biopics are constantly introducing older songs to new audiences. A teenager can discover Fleetwood Mac the same day they discover Sabrina Carpenter. And increasingly, they’re doing both.

The takeaway for DJs is simple: Don’t confuse new with relevant. The data keeps showing that audiences are building deeper connections with songs they already know than songs they just discovered. Which means the DJs winning in 2026 aren’t necessarily the ones finding the newest records. They’re the ones finding the right records. And if you’ve built an entire career around playing songs from 2000-2015… Congratulations. You’ve accidentally become a trend forecaster. 😎

Most DJs use AI like Google. They ask a question. Get an answer. Move on. Claude’s biggest superpower is something different. It can act like a permanent team member. Using Projects, you can give Claude ongoing knowledge about:

Instead of starting over every conversation, Claude remembers the context inside that project. Think of it this way: ChatGPT often feels like hiring a new intern every morning. Claude Projects feels like hiring an employee who has actually been paying attention.

Imagine creating a project called: “Wedding DJ Sales Manager” Inside it you upload:

Now every time a lead comes in, Claude already understands:

You can simply say: “Write a follow-up email for a bride getting married at Hart Meadows who opened my brochure but hasn’t booked.” And Claude immediately knows what you’re talking about. No explaining required.

Create another project called: “Content Director” Upload:

Now Claude can help create:

And it actually sounds like your brand because it has already learned your style.

Some DJs are building projects that contain:

Now Claude becomes a brainstorming partner for:

It won’t replace your music knowledge. But it can absolutely help organize it.

Most DJs are still using AI one conversation at a time. The real power starts when you stop treating Claude like a chatbot and start treating it like a team member. Because once it understands your business, every future conversation gets better. And unlike most employees, Claude doesn’t ask for weekends off during wedding season.

CTA: Join our free 3-Day Claude Workshop where we’ll show you how to build your first DJ Co-Worker, train it on your business, and start saving hours every week.

The Best DJs Don’t Have More Music. They Have Better Decisions.

Most DJs think the answer to better sets is a bigger library. Aaron argues the exact opposite.

In this week’s video, he breaks down why DJs freeze in the booth—not because they don’t have enough songs, but because they have too many options. When you’re staring at 40,000 tracks while the dance floor starts cooling off, the problem isn’t your music collection. It’s decision overload.

The solution? Smaller working crates, songs organized by purpose instead of genre, and a simple five-song decision framework that helps you stop panic-scrolling and start thinking strategically. It’s a practical lesson in why great DJs aren’t necessarily better because they own more music—they’re better because they eliminate bad decisions before the gig even starts.

If you’ve ever found yourself searching your hard drive like you’re reading a CVS receipt while the crowd waits for the next song, this one is worth your time. Because the crowd doesn’t care how many songs you own. They care about what you play next.

Apple unveiled visionOS 27 at WWDC, and while there wasn’t a massive “one more thing” moment, the update continues to push the Apple Vision Pro toward becoming a legitimate computing platform instead of a very expensive tech demo.

The biggest upgrades focus on:

For DJs, there isn’t a direct “mix your wedding in VR” feature yet, but the trend is worth watching. Between Tribe XR, virtual DJ competitions, VR classrooms, and spatial computing, we’re slowly moving toward a future where learning, practicing, collaborating, and even performing can happen inside immersive environments.

The metaverse hype may have cooled off, but Apple clearly isn’t giving up on spatial computing. And if there’s one thing we’ve learned from technology, it’s that today’s expensive curiosity often becomes tomorrow’s normal workflow.

Besides, if we’re being honest, some DJs already spend enough time staring at waveforms that a headset probably feels like the logical next step. 🥽🎧