Dunn, Pierre, Barnett & Company Canada Ltd

Artificial intelligence has already transformed how we search, create, and communicate — but few realize the hidden economy fueling it: AI training data. Every image, article, or video that teaches an AI how to “see” or “think” must come from somewhere — and that “somewhere” is often the work of human creators.

Two emerging players — Troveo AI and Perplexity AI — represent different but connected fronts in this rapidly expanding economy. One is building a marketplace for AI-ready content, while the other is transforming how humans access and monetize knowledge through conversational intelligence.

How These Two Platforms Are Redefining the Future of AI Training Data, Creator Monetization, and Search

Let’s explore what makes each unique and why they matter to creators, researchers, and entrepreneurs entering the AI Training Economy.

1. What Is Troveo AI?

Troveo AI is a new type of content licensing platform built specifically for the AI era. It connects creators — photographers, videographers, musicians, and writers — with organizations developing machine-learning models that need high-quality, ethically sourced data.

Unlike traditional stock media platforms, Troveo’s focus is not on human audiences but AI systems that require labeled, categorized, and verified training materials.

Key Features of Troveo AI

How Troveo Benefits Creators

1. Passive Income: Once uploaded, your old creative work can generate ongoing royalties.

2. Data Sovereignty: You control who uses your content and for what purpose.

3. Direct AI Licensing: Skip traditional publishers — sell directly to AI developers.

4. Portfolio Visibility: Become part of verified datasets used by research labs, startups, and Fortune 500 AI companies.

In essence, Troveo is the Shutterstock for AI datasets — but with modern transparency and direct creator control.

2. What Is Perplexity AI?

Perplexity AI is an advanced search and conversational AI engine that combines the speed of Google with the depth of ChatGPT — but with sources, citations, and transparency baked in.

Founded in 2022, Perplexity’s mission is to make information discovery more accurate, conversational, and contextually aware. Unlike typical chatbots, Perplexity AI cites real sources and displays live web data, allowing users to verify every claim.

Key Features of Perplexity AI

Why Perplexity Matters

• It represents a new model of AI transparency, where users can verify sources in real-time.

• It is building an ecosystem that compensates creators whose work trains or enhances the AI’s performance.

• Its Publisher & Creator Fund (worth $42.5 million) sets a precedent — proving that fair compensation is not only possible but necessary in the AI data economy.

3. Troveo vs. Perplexity: Key Differences and Complementary Roles

These two platforms, while different, complement each other perfectly. Troveo supplies ethically sourced data, while Perplexity consumes and redistributes verified knowledge — both forming the foundation of a more transparent and creator-inclusive AI economy.

4. The AI Training Economy — A $20 Trillion Opportunity

According to industry projections, the global AI sector is expected to reach $20 trillion in value by 2030. Much of that growth depends on training data — the text, images, and sounds that teach AI models how to function.

Where Does the Data Come From?

• Public domain content (free but low quality)

• Licensed stock media (expensive and limited)

• Direct creator contributions (verified and scalable)

Platforms like Troveo AI are capitalizing on the third category — empowering creators to sell verified, high-quality datasets while maintaining ownership.

5. How You Can Participate

If you’re a creator, researcher, or entrepreneur, now is the time to position yourself in the AI content economy. Here’s how:

Step-by-Step Guide

1. Audit Your Archives: Identify old content — photos, music, scripts, or research — that’s collecting dust.

2. Organize and Tag: Use metadata and file naming conventions to make your data AI-ready.

3. List on Troveo AI: Upload your content for licensing.

4. Engage with Perplexity AI: Submit your content for visibility through their Creator Fund or partnerships.

5. Monitor Payments: Track royalties, downloads, and visibility metrics.

Pro Tip:

Combine both platforms — use Troveo to license your data and Perplexity to build your brand visibility through published insights and verified contributions.

6. The Future of AI and Creator Empowerment

As AI systems grow more intelligent, data ownership will become the most important asset in digital economies. Early adopters who understand how to license, tag, and monetize their archives will lead the next generation of digital entrepreneurship.

Both Troveo AI and Perplexity AI are early indicators of this shift:

• Troveo is giving creators the tools to monetize the data itself.

• Perplexity is rewarding creators for knowledge and informational value.

Together, they signal a move toward a fair, traceable, and profitable AI data economy — where creators are no longer invisible in the machine-learning process.

If your old content is sitting unused on a hard drive, it’s helping nobody.
AI companies are building trillion-dollar systems — and they need the authentic human data you’ve already created.

• Troveo AI lets you sell it.

• Perplexity AI helps you showcase it.

• You control the terms, the audience, and the income.

Now is the time to act — license your legacy, own your data, and take your place in the AI economy shaping our digital future.

URGENT: The AI Training Economy Has Begun

Every day, creators around the world are sitting on a goldmine — old photos, videos, music, and written work collecting digital dust on hard drives and cloud folders.
Meanwhile, AI companies are spending billions training their models on verified, human-made content.

The truth is simple:
Your content is helping nobody hiding on your computer.
It could be helping train the world’s most powerful AI models — while paying you real money.

Stop Working for Free

Your old content is the fuel of the $20 trillion AI economy.
The biggest mistake creators are making right now?
They’re letting their archives sit idle while AI labs, data brokers, and content marketplaces are actively buying what you already have.

If you’ve ever:

• Posted creative work online,

• Recorded original audio or video,

• Written articles, blogs, or research,
  then you already own valuable data that AI developers need.

It’s time to stop working for free — and start licensing your content.

Get the Ultimate Guide to Selling Your Old Content to AI Companies

Ebook: “The AI Training Economy — How to Monetize Your Old Content”
Price: $19.99
Or get it FREE when you activate EventBot AI.

This 100+ page guide walks you step-by-step through transforming old creative work into a new stream of income.

★ Chapter 9: Companies Paying for AI Training Data Today

This is the most important chapter for creators ready to start earning immediately.

You’ll discover:

• Directories of verified buyers

• Platform guides and submission tips

• Payment models and deal structures

• Regularly updated listings with new opportunities

For example, click here to learn about Perplexity's $42.5 Million Publisher & Creator Fund.
This chapter is regularly updated so you can access the latest monetization opportunities.

What You’ll Learn Inside

1. Introduction: How your old content can generate income today — plus real case studies.

2. Chapter 1: The Rise of the AI Training Economy — the history, demand, and scale of opportunity.

3. Chapter 2: Why Old Content Is Gold — copyright, case studies, and rediscovery.

4. Chapter 3: Troveo & More — how to list your work on AI content marketplaces.

5. Chapter 4: What Kind of Content You Can Monetize — video, art, audio, writing, and more.

6. Chapter 5: Step-by-Step Getting Started — preparing, submitting, and licensing.

7. Chapter 6: Maximizing Earnings — pricing, non-exclusive deals, and scaling.

8. Chapter 7: Legal & Ethical Considerations — protecting your brand and IP.

9. Chapter 8: The Future — where the AI economy is headed next.

10. Chapters 10–20: Advanced monetization, packaging archives, marketing, and scaling strategies.

Unlock the Full Potential of Your Old Content

Your dusty hard drives hold data gold.
The world’s top AI labs are paying for verified, human-created work — not generic web data.
This guide shows you exactly how to prepare, tag, and license every file for maximum earnings potential.

Inside You’ll Also Discover

• Discover the New Market: The $20 trillion AI ecosystem needs your data.

• Identify Opportunities: Learn which content types are in highest demand.

• Find the Buyers: Access a 50+ company directory with platforms like Troveo and Shutterstock.

• Step-by-Step Implementation: Follow clear submission and licensing walkthroughs.

• License & Protect: Understand metadata tagging and legal safety.

• Maximize Earnings: Use pricing and licensing strategies for recurring income.

Bonus: Free Advertising Offer

When you combine your ebook purchase with an EventBot AI License, you’ll receive free advertising for 12 months to a lifetime — depending on your package.

Since 2022, we’ve delivered 400+ million organic impressions and are on track to reach 1 billion by 2026.
New users can claim free 1-year, 2-year, or lifetime ad placements, instantly increasing reach, visibility, and revenue.

Every photo, article, or video you’ve ever made can be repurposed into an AI-ready asset.
The companies shaping the future of artificial intelligence are already buying content like yours — and the only question left is:

Will they buy it from you, or from someone else who uploaded first?

Click here to order the ebook now.

For thousands of independent musicians, the story has become painfully familiar.
Streams don’t pay enough. Merch sales are slow. Touring is expensive.
And the dream of “making it” in music feels further away than ever.

But what if the problem isn’t the music — it’s where you’re trying to sell it?

There’s a quiet revolution taking place beneath the surface of the creative economy. It’s called the AI Training Economy, and for the first time in decades, musicians can earn from their old tracks, sound libraries, and compositions in ways that have nothing to do with Spotify, YouTube, or live gigs.

Why Traditional Music Monetization Is Broken

Let’s be honest about today’s music business:

In short, unless you have massive reach or label support, streaming and gigs alone aren’t sustainable.

This is forcing independent artists to rethink what it means to monetize creativity.

The Rise of the AI Training Economy

Artificial intelligence companies need music — a lot of it.
Every generative AI system that produces soundtracks, scores, jingles, or sound effects relies on training data — massive libraries of human-created audio that teach AI how to recognize patterns, styles, and emotions.

This means your back catalog — from beats and stems to full songs — has real market value beyond streaming.

According to Bloomberg, the global demand for AI training data (including sound) will exceed $30 billion by 2027.

Music is now a key component of that demand.

AI companies, sound design firms, and licensing startups are actively paying for access to authentic human-made audio — and that opens a new door for musicians.

How It Works

Here’s the simple breakdown of the AI licensing model for musicians:

1. Upload your existing music library (original, non-copyright-infringing material).

2. License your audio to AI companies, sound model trainers, or data brokers.

3. Get paid per use, per dataset inclusion, or under a subscription model.

Depending on the platform, musicians can:

• License full tracks for AI model training or sound analysis.

• License stems and loops for generative music synthesis.

• License metadata-rich content (tempo, genre, mood tags) to improve model performance.

• Earn royalties each time their sound is included in an AI dataset or tool.

Platforms like Troveo, Perplexity’s Creator Fund, and Soundful AI Licensing are among those pioneering structured payouts for creative datasets.

Example: How Musicians Are Getting Paid

Let’s look at a practical case study.

These aren’t promises — they’re proof points showing what’s possible when music is treated not just as art, but as data with measurable value.

The Hidden Value in Your Music Archive

Even if your catalog “isn’t selling,” it may contain hidden gold.
Here’s what AI buyers are looking for:

The more organized and tagged your audio is (e.g., BPM, genre, mood), the higher its licensing value.

Where to Start

Here’s a step-by-step roadmap to monetize your music through AI licensing:

1. Audit your content
   Gather all your unused tracks, demo tapes, loops, and alternate versions.

2. Add metadata
   Include tags like genre, mood, tempo, and key. AI platforms pay more for well-structured data.

3. Join AI licensing marketplaces

   • Troveo.ai – Accepts high-quality sound and video for AI training.

   • Perplexity Creator & Publisher Fund – Funding pool for musicians, artists, and media creators.

   • Sound.xyz, Mubert, or Audio Data Collective – AI-music-linked platforms offering royalties or licensing payments.

4. Sign a non-exclusive license
   Maintain ownership of your music while allowing multiple AI firms to use it.

5. Track your earnings
   Use dashboards provided by the platforms to monitor licensing activity and payouts.

6. Reinvest earnings
   Use funds to market new releases, buy better gear, or expand your sound library.

How Much Can Musicians Earn?

Payment models vary, but here’s a general breakdown:

It may not replace a record deal — but for many artists, it’s a lifeline that brings in steady passive income from old material.

Why This Matters for Independent Artists

• Diversify your income: Don’t rely solely on streaming platforms or ticket sales.

• Retain your rights: Non-exclusive AI licensing means you keep full ownership.

• Monetize your back catalog: Even demos and rejected mixes have training value.

• Join the AI economy early: Early adopters are earning more as demand accelerates.

• Expand reach: Your music could end up embedded in the next generation of creative tools.

Music isn’t dead — it’s evolving.
While streaming platforms struggle to pay creators fairly, AI companies are paying creators for something different: the intelligence within your music.

Every melody you’ve ever composed, every loop you’ve recorded, and every sound you’ve captured holds data value.
That value is now tradable, licensable, and monetizable.

So the next time someone tells you “music doesn’t sell,” tell them they’re right — but that’s okay.

Because in 2025 and beyond, music doesn’t need to sell to make money.
It just needs to teach — and AI is paying attention.

In the new AI Training Economy, one truth is becoming clear:

Data is the new oil — and how well you organize it determines how much it’s worth.

From artists and musicians to publishers and educators, everyone is sitting on a mountain of unstructured, undervalued content. Old photos, articles, videos, and audio files are scattered across hard drives and cloud folders — and most creators don’t even realize these files can be licensed to AI labs for serious money.

But here’s the catch: AI companies don’t pay for chaos.
They pay for clean, labeled, well-structured data — the kind their systems can ingest and learn from immediately.

This article explains how to transform your dusty archives into high-value digital assets ready for AI buyers like Perplexity AI, Troveo, OpenAI, Anthropic, and dozens of emerging AI labs.

Why Data Organization Matters in the AI Training Economy

AI companies train their models using enormous datasets of human-generated text, images, music, and video. However, raw data is rarely useful in its original form — it needs structure, tagging, and consistent formatting.

Think of AI like a student:

• It learns faster when notes are clear and labeled.

• It struggles when information is disorganized or incomplete.

When your content is properly organized, you make it easier for AI systems to “learn” from it — and that means buyers are willing to pay more per file.

Step 1: Identify the Content You Own

The first step is auditing your data — identifying what you actually have and what you can legally sell or license.

✅ Examples of Content You Can Monetize:

• Photos and illustrations (original, human-made)

• Video clips and B-roll footage

• Music, instrumentals, and sound effects

• Articles, essays, or educational guides

• Scripts, captions, and transcriptions

Tip: AI buyers prefer original, verified human content with a clear authorship trail. Avoid submitting copyrighted work or content containing personal identifiers.

Create a spreadsheet or folder structure that lists:

1. File name

2. Content type (image, video, text, audio)

3. Creation date

4. Rights holder (you or your company)

5. Licensing status (available / already licensed)

This forms the foundation of your Data Licensing Portfolio.

Step 2: Add Metadata — The Secret to Higher Payments

Metadata is what transforms your content from clutter into capital. It tells AI buyers exactly what your file contains without opening it.

Here are some examples of metadata fields that increase payout rates:

How to Add Metadata:

• For images: Use Adobe Bridge, Lightroom, or free tools like ExifTool.

• For audio: Use programs like MP3Tag or Audacity.

• For text: Include metadata headers (JSON, XML, or Markdown format).

• For video: Add embedded descriptions or sidecar .srt or .xml files.

Pro Tip: Metadata-rich files can earn 3× to 10× higher payouts because they require less cleaning and preparation before being used in AI model training.

Step 3: Standardize Your Formats

AI labs and content brokers love consistency. Your goal is to deliver clean, standardized files that can be processed quickly.

Best Practices for File Formatting

Before submission, remove duplicates, compress files efficiently, and ensure all filenames are clear and consistent (e.g., portrait_smiling_african_artist_01.jpg instead of IMG_0034.JPG).

Step 4: Choose Where to License Your Data

Once your content is cleaned, tagged, and formatted, it’s time to list it for sale.

Here are some popular AI licensing marketplaces where organized data sells best:

Each platform has its own submission process — but all of them pay significantly more for structured, metadata-rich content.

⚙️ Step 5: Track, Protect, and Automate

The final step in data monetization is ongoing management.

To protect your earnings:

• Keep timestamped backups of every file submitted.

• Use watermarking or content hashing (like PhotoDNA or C2PA metadata) to prove authorship.

• Track earnings via platform dashboards or your own spreadsheet.

• Reinvest profits into automation tools that help tag, upload, and track data automatically.

Automation tools like EventBot, MoneyBot, or SEOBot (available through the Pamper Me Network) can handle repetitive tasks like metadata tagging, campaign updates, and AI licensing submissions while you focus on creating.

The Earnings Potential of Organized Data

If your files are properly organized, you can earn from multiple AI buyers simultaneously.
Here’s an example scenario for a small creator or business:

Multiply that by 12 months, and that’s over $15,000 per year from content you already own.

Why AI Companies Pay More for Organized Data

By delivering “ready-to-train” data, you position yourself as a premium supplier rather than just another contributor.

Turn Order Into Income

The AI economy is already a multi-trillion-dollar market, and organized creators will capture the lion’s share of those earnings.
The days of letting valuable data collect digital dust are over.

When you treat your archives like inventory — labeling, tagging, and structuring them — you transform forgotten work into a predictable income stream.

The next time you browse your hard drive or Google Drive, ask yourself this:

“Is this just old content — or is this an asset ready to fuel the next generation of artificial intelligence?”

Because in 2025 and beyond, the people who organize their data will be the ones AI companies pay top dollar.