Summary of "9 AI-навыков, которые сделают тебя богатым в 2025 году"

Summary of Finance-Related Content from “9 AI-навыков, которые сделают тебя богатым в 2025 году”

This video outlines nine AI-related skills projected to generate significant income by 2025, emphasizing how mastering AI tools can create high-value business opportunities. While not directly about traditional financial markets or investing, the content is highly relevant for professionals and entrepreneurs interested in leveraging AI for business growth, automation, and productivity—key drivers of financial performance and value creation.

Key Skills & Income Potential (Rubles per Hour or Project)

Prompt Engineering
- Income: 3,000–6,000 rubles
- Skill: Crafting precise AI prompts to get high-quality outputs (marketing plans, financial analysis, copywriting).
- Methodology:
  - Define the AI’s role explicitly (e.g., marketer, nutritionist).
  - Provide relevant data/examples.
  - Formulate clear, specific requests.
  - Specify output format (list, table, PDF, etc.).
- Importance: Directly impacts quality of AI-generated financial or marketing insights.
Software Development with AI Assistance
- Income: 5,000–10,000 rubles per hour
- Skill: Using AI tools (Cursor, Rool) to build apps or services without coding knowledge.
- Methodology:
  - Self-tutorial via AI chatbots.
  - Identify real business problems by consulting with entrepreneurs or marketers.
  - Rapid prototyping and launching solutions.
- Business Impact: Scalable products that generate recurring revenue.
AI Design (Graphic & Web)
- Income: 4,000–8,000 rubles
- Use of generative AI for photorealistic images, photo editing, and web design (tools like Figma plugins, Rei).
- Business Example: NeuroShot project offering virtual photo shoots, reducing traditional photography costs.
- Financial Benefit: Lower cost, faster turnaround, higher margins.
AI Video Editing
- Income: 4,000–8,000 rubles per hour
- Skills: Clipping content for social media, generating AI avatars/videos, automating video production.
- Tools: Firecat, Opus, iPoisk.
- Business Use: Viral marketing, training videos, customer engagement—reducing production costs significantly.
AI Writing & Content Creation
- Income: 4,000–8,000 rubles per hour
- Services: Extracting key ideas from transcripts, generating viral content ideas, creating personalized content models.
- Value: Enhances marketing effectiveness, supports expert entrepreneurs in scaling content output.
Content Marketing Automation
- Income: 8,000–12,000 rubles per hour
- Strategy: Build AI-driven content machines producing podcasts, newsletters, media projects without manual recording.
- Methodology:
  - Set clear content goals (e.g., 100-episode podcast).
  - Use AI for content creation and repurposing (shorts, posts).
  - Amplify client presence across platforms, driving referrals and new business.
Code and Automation Engineering
- Income: 12,000–16,000 rubles per hour
- Focus: Automate business workflows to save time and money (e.g., reducing employee onboarding steps from 15 to 1).
- Framework:
  - Map full business processes and identify bottlenecks.
  - Prioritize automations that generate or save money quickly.
  - Build AI assistants integrated into workflows.
- Market Insight: Automation specialists command high salaries/contracts; ROI-driven approach emphasized.
Data Analysis with AI
- Income: 12,000–16,000 rubles per hour
- Services:
  - Data cleansing and integration for better decision-making.
  - Data enrichment (adding phone numbers, credit scores, geolocation to leads).
  - Extracting actionable insights (e.g., retail sales optimized by pay cycle).
- Business Impact: Improves marketing targeting, inventory management, and overall profitability.
No-Code Development & AI Agents
- Income: 16,000–20,000 rubles per hour
- Role: Build AI agents that replace entire departments (sales, customer support).
- Methodology:
  - Break down processes step-by-step.
  - Train models on company data (documents, calls, emails).
  - Implement feedback loops to improve agent performance.
- Examples:
  - Customer support agent resolving 80% of issues autonomously.
  - Sales agent analyzing conversations and prompting managers in real-time to boost conversion.
- Warning: Those who don’t adopt these tools risk being replaced.

Macroeconomic & Market Context

The video underscores a shift in labor market value: AI mastery will out-earn traditional programming, marketing, or sales roles by 2025.
Automation and AI-driven efficiency gains (10x-20x improvements) will redefine business processes and cost structures.
The emphasis on result-based pay over hourly work aligns with tech investment trends valuing scalable output and innovation.
No direct mention of specific financial markets, tickers, ETFs, bonds, or commodities. The focus is on AI as a value multiplier in business operations and entrepreneurship.

Recommendations & Cautions

Mastering AI prompt engineering is foundational to unlocking value from AI tools.

Practical application and rapid prototyping trump endless learning—“Just do it.”

Focus on automating high-impact, revenue-generating processes rather than easy but low-value tasks.

Build AI agents thoughtfully with ongoing human feedback for best results.

The presenter offers courses and Telegram channel links for further learning (not financial advice).

The content is motivational but includes practical step-by-step frameworks for each skill.

Disclosures

Income figures are given in Russian rubles and approximate hourly/project earnings.
The presenter offers personal courses and discounts (e.g., NeuroShot photo service).
No explicit financial advice; content is educational and motivational for AI skill development.

Presenter / Source

The video is presented by a speaker named Victor (mentioned in discount offers and references).
References to friends and colleagues (e.g., Vladimir, Naval Ravikant quote) used to illustrate points.
Course mentioned: “Nerosey from Hell I” for beginners in AI prompt and automation.

Summary

This video serves as a roadmap for leveraging AI skills to generate high income by 2025, focusing on automation, content creation, software development, and AI agent building. While it doesn’t cover traditional financial instruments or markets, it highlights AI’s transformative impact on business efficiency and revenue growth—key considerations for investors and entrepreneurs in the evolving tech landscape.