Introduction

By 2025, skill in cutting-edge Advanced AI prompt engineering will be crucial. It will be the secret to unleashing powerful outcomes. This skill will also allow you to make money off of your abilities. The sophistication of AI has progressed way beyond simple commands — and if you’re still utilizing standard prompts, you’re leaving 90% of its capabilities on the table. In this article, we’ll explore insights from Google Trends. We’ll also introduce five high impact prompting strategies. These strategies are revolutionizing how professionals make money with AI.

Bro, that was how it began in 2023. Now the game has totally shifted. Advanced AI has developed extensively. If you’re still on basic prompts, you’re wasting 90% of your ability.

You’re spending hours trying to come up with generic answers, while pros get the same job done in 5 minutes. The difference? It’s just the quality of the prompt .

In this post, I will decode Google Trends data. I will tell you about 5 advanced prompt engineering trends. These trends will be on top in 2025 and 2026.

These five trends represent the future of advanced AI prompt engineering, where strategic interaction replaces generic commands.

What’s the problem? (The 90% Gap)

The problem is simple.

• 90% of people are only using 10% of AI’s potential. Why? Because they think AI is a tool, when it’s actually a system.
• They’re still treating AI like a ‘search engine’ or ‘calculator.’ Ask questions, get answers. That’s it.
• While the top 1% advanced users are treating AI like an ’employee’, ‘co-founder’, or ‘creative partner’.

Think: You wouldn’t just tell an employee to “write a memo.” You would give them context, explain the audience, understand the tone, and clarify the goal. That’s the difference .

This is what Google Trends data shows:

• Search for “basic ChatGPT prompts” (Red Line) -> Slowly going down because it is saturated and returns low-value results.
• Search for terms like “Chain of Thought prompting,” “AI agent prompts,” and “multi-modal prompts” (Blue Line) -> Moving up fast.

The data is speaking loudly: the skills gap is widening. People have shifted from ‘what’ to ‘how.’ The game now is not about giving commands, but about strategically guiding the AI .

These are the 5 trends that are defining the AI game in 2025, and which have become high-income skills.

Trend #1: Multi-Modal Prompting

This is the biggest game-changer of 2025.

What is this?

Multi-modal inputs are now a core part of advanced AI prompt engineering. They allow users to combine text, visuals, and audio for richer outcomes. And in return, receiving outputs like images, video, or code, not just text. This creates a full stack of “inputs” and “outputs.”

Google Trends Insight:

Searches for “ChatGPT Vision,” “Sora prompts,” and “Llama 3 V” are at an all-time high. People now want to “show AI,” not just “tell.” Because showing > telling.

Your Benefits (How to Use):

• Click a photo of a white-board sketch and tell the AI: “Convert this sketch into a working website (HTML/CSS).”
  • Upload an audio file and say: “Summarize this meeting recording, extract action items, and draft a follow-up email.”

Pro-Tip (AI Money Making):

Freelance Gigs:

Take messy, half-made designs (images) from clients and use AI to convert them into clean, professional mockups or working code. Why is this skill so high paying? Because you’re reducing your client’s ‘idea-to-product’ time by 10x. This technique is a high-leverage skill in advanced AI prompt engineering, especially for freelancers converting raw ideas into polished deliverables.

Trend #2: Prompt Chaining

Don’t give the AI a large, complex task all at once. It will get confused or lazy. Give it time to “think.”

What is this?

Breaking a large problem down into 3-4 (or 10) smaller logical steps and making it quick. This is also called Chain of Thought (CoT) reasoning. Prompt chaining is a foundational method in advanced AI prompt engineering, teaching the model to reason step-by-step.

Google Trends Insight:

“Chain of Thought prompting” and “step by step AI” have moved out of academic circles. These concepts have entered mainstream developer searches and marketing searches.

Your Benefits (How to Use):

Wrong way:

“Write a 5000 word blog post on this topic.” (The AI will get lazy here, add generic filler, and will hallucinate facts).

Right Method (Chaining):

Step 1:

I want to write a blog post on this topic. Give it 10 catchy headlines that target an audience of 18-30 years old.

Step 2:

Headline #3 is a must-have. Create a detailed, SEO-friendly outline based on it. Each section should have 3 key bullet points.

Step 3:

Now just write the ‘Introduction’ section, with a strong hook, and keep the tone witty.

Step 4:

Now write the ‘Main Body 1’ section, expanding the outline’s points…

Pro-Tip (AI Money Making):

Data Analysis Service:

Use chain prompts for the client’s raw data (CSV file).

Step 1:

Analyze this data and find key trends.

Step 2:

Highlight the top 3 anomalies.

Step 3:

Generate a simple bar graph code (matplotlib/d3.js) based on these trends.

Step 4:

This workflow is a prime example of how advanced AI prompt engineering can transform raw data into business insights.” You can sell this entire workflow as an “AI-Powered Business Insights” service.

Trend #3: AI Agents

This is the peak of advanced AI usage . Here, you give the AI a ‘goal,’ not a ‘task.’

What is this?

Giving the AI a final goal (e.g., “do market research for my startup”) and allowing it enough freedom to create subtasks, search the web, use tools, and finish the goal. Task = ‘Write an Email’. Goal = ‘Find 10 leads for my new product and cold email them’. AI agents represent the peak of advanced AI prompt engineering, where users delegate goals instead of tasks.

Google Trends Insight:

Searches for “AutoGPT,” “CrewAI,” or “AI agents” have exploded. This is the next step in the “do-it-for-me” economy. People now want complete solutions, not tools.

Your Benefits (How to Use):

• “My goal is to plan a 1-week trip to Goa. My budget is 30,000. Please research the best flights, hotels (near the beach), and a 3-day itinerary for me and make a final plan. Also give links and other things.
  • “Create a detailed research report on this topic. Find the latest data (2025) by searching the web. Analyze competitors and find out their pricing. Then, give a final SWOT analysis summary.”

Pro-Tip (AI Money Making):

Micro-SaaS:

Build and sell an AI agent. For example, you create an agent who finds the top 5 news articles related to your industry every morning. The agent then summarizes them and sends them to you on Slack. Or an agent who finds new leads on LinkedIn based on your criteria. Building autonomous workflows is one of the most scalable applications of advanced AI prompt engineering today. People pay a recurring subscription (monthly money) for this time-saving automation.

Trend #4: Mega-Prompting & Custom Personas

Use AI like an expert, not a generalist. The default ChatGPT is a “know-it-all” person. You need an “expert.”

What is this?

Give the AI with a 10-page context. This is a full research paper, legal document, or brand guideline. You can also give it a very detailed persona and ask it to respond within that context. Persona-based prompting is a rising star in advanced AI prompt engineering, enabling expert-level responses tailored to specific roles.

Google Trends Insight:

The trend of “Custom GPTs” reflects this. People want specific ‘expert’ AI, not ‘one-size-fits-all’ AI (e.g., “Finance Coach GPT,” “Legal Advisor GPT,” or “Python Code Debugger GPT”).

Your Benefits (How to Use):

Persona Example 1 (Pro):

TASK:

Write a viral tweet.

ROLE:

You are a 10 year experienced Social Media Manager who understands GenZ trends.

AUDIENCE:

18-25 year old students.

TONE:

Witty, a little sarcastic, and helpful.

GOAL:

Inspire them about productivity hacks.”

Persona Example 2 (Student):

ROLE:

You’re a strict IIM professor. I’m pasting my essay below. Critique it to improve it from ‘Grade F’ to ‘Grade A’. Give me 5 specific, actionable improvements.

Context Example:

(by pasting the entire article) “Analyze this entire article and on its basis give 3 counter-arguments which I missed.”

Pro-Tip (AI Money Making):

Sell Custom GPTs:

If you’re an expert in something (e.g., SEO, Fitness, Cooking), create a “Custom GPT.” Feed it all your knowledge as context (documents, guides). Selling Custom GPTs is a monetization path powered by advanced AI prompt engineering and contextual mastery.

Trend #5: Prompting for Code & APIs

This trend is directly linked to AI money-making . People are now using AI to create not just content but entire applications.

What is this?

Writing not just code snippets from AI, but working prototypes, API logic, database schemas, and entire software components. This is your personal ‘tech co-founder.’ This trend shows how advanced AI prompt engineering is evolving from content creation to full-stack development.

Google Trends Insight:

Terms like “ChatGPT for Python,” “Claude for API,” and “Devin AI” are now becoming more popular than “how to learn Python.” People are more interested in getting things done than learning. Non-coders are now able to manage coders.

Your Benefits (How to Use):

• “I want to create a simple ‘To-Do List’ app. Write HTML, CSS, and JavaScript code for it. Data should be saved in local storage. Keep the design modern and minimal.”
  • “Write a Python script that scrapes data from a website and saves it to a CSV file.”
  • “I’m having this bug in my React component. [Paste the code]. Debugging it and providing the corrected code.”

Pro-Tip (AI Money Making):

Rapid Prototyping:

Have a startup idea? Use AI to create a working prototype (Basic Workable Product) in 2 days and pitch it to investors. This is game-changing because now it doesn’t take 6 months and 10 lakhs to test an idea.

Freelance:

For non-tech clients, add “AI-powered” features to their existing website (e.g., a simple Chatbot that tells you about their products, or a ‘smart’ search bar). Freelancers using advanced AI prompt engineering can deliver MVPs and prototypes faster than traditional dev teams. You can easily charge $500-$1000 for this.

Comparison of 2025 trends in advanced AI prompt engineering by use case and skill level.

Trend Name	Use Case (Productivity)	Use Case (AI Monetization)	Skill Level
Multi-Modal	Converting Sketch to Code	Improving client designs	Intermediate
Prompt Chaining	Writing a detailed blog post	High-end data analysis reports	Intermediate
AI Agents	Trip planning, research	selling custom automated workflows	Advanced
Mega-Personas	Taking expert advice (eg, legal)	Selling Custom GPTs	Beginner-Pro
Prompting for Code	Personal projects making	Freelance web/app prototyping	Advanced

Conclusion: Now is the time for action

So, you must have understood the scene of 2025.

Basic prompts = Dead.

If you can’t guide the AI, you’ll be left behind. The market is flooded with generic products.

There is no need to be afraid of AI.

Learning to use AI is a new muscle every student and professional will have to build. It’s the new Excel.

The future belongs to those who can ask the right questions.

The smarter your prompt, the more valuable the AI’s response will be. Prompt engineering is no longer a ‘soft skill’, but a ‘power skill’.

AI Monetization

Now, the path to AI has become easier . The key lies not in using it , but in leveraging advanced AI tools . Automation, prototyping, and expert analysis… that’s where the money is.

Don’t just read these trends. Start using them. Today.

For broader strategies beyond Midjourney, check out our guide on [AI Monetization in India].

The future belongs to those who master advanced AI prompt engineering. It’s not just about using AI. It’s about guiding it with precision.

What’s your most powerful prompt hack? Or which trend would you try first?

Let us know by commenting below! Let’s build a community