Hello Reader,

The landscape of generative AI (Gen AI) consumer applications is evolving rapidly, with new players emerging and established ones innovating at an unprecedented pace. In today's newsletter, we will take a look at the top Gen AI apps and, more importantly, how YOU can use this for your career growth and get more money.

Generative AI Consumer Apps: The Top Performers

• ChatGPT's Resurgence: After an initial plateau, ChatGPT has surged to 400 million weekly active users, driven by multimodal capabilities, advanced voice interactions, and enhanced reasoning models.
• DeepSeek's Meteoric Rise: Emerging as a major ChatGPT competitor, DeepSeek gained 10 million users within 20 days of launch. Its low training costs and strong reasoning benchmarks have drawn global attention.
• AI Video Models Go Mainstream: Tools like Hailuo, Kling AI, and Sora are redefining video generation with improved quality and controllability. These platforms offer specialized features such as camera movement control and lip sync.

The Era of "Vibecoding"

Generative AI is democratizing creation through platforms that cater to both technical and non-technical users:

• Agentic IDEs: Tools like Cursor serve developers with features like bug checking and full code generation, making development faster and more efficient.
• Text-to-Web App Builders: Platforms like Bolt allow users to create functional web applications from simple text prompts, opening up new opportunities for non-coders.

Both categories are growing rapidly, with some overlap in user bases as technical users adopt text-to-web platforms for prototyping.

Monetization vs. Popularity

🚩IMPORTANT: While usage metrics are important, revenue generation tells a different story:

• Many apps with lower user counts excel at monetization through subscriptions or premium features.
• Categories like language learning (e.g., Loora), music (e.g., Moises), and dictation (e.g., Otter) show strong revenue performance despite niche appeal.
• The companies who are making money will hire

How can YOU capitalize on this?

As fun as vibecoding is, and while a tiny percentage will make money by creating games with ads or some apps, the majority of us look to get a well-paid job in Big Tech and other companies. The question is, how can you capitalize based on what we know so far?

Learn Gen-AI Infrastructure Provider

How are enterprises, which provide most jobs, building Gen AI apps? Below is the mix:

• Most projects are using cloud services to build the apps. Gen AI is increasing cloud consumption because getting your hands on GPU in an on-premises data center is very difficult.
• Because of the above point, Cloud fundamentals are not throwaway. You still need to master Compute, Storage, Network, Security because that's where Gen AI apps will be running. For example Adobe has publicly said, they are running Gen AI models in Kubernetes using Amazon EKS.
• Some companies will abstract the previous layer and use AWS services like Amazon Bedrock and SageMaker AI for Gen AI functionalities. Knowledge of this will be helpful.
• If you know an area, add Gen AI components to your arsenal. For example:
  • You know Serverless. Learn how Serverless can be used to do RAG, Agentic AI, and invoke LLM endpoint. Bedrock will be helpful here
  • If you are into open source technology like Kubernetes, learn how you can train, and run LLMs on Kubernetes
  • If you are in DevOps, learn MLOps
  • If you are into storage, learn vector databases, how can they be used, how can embeddings be done
  • The above will be useful to bridge your current experience to Gen AI. Then you can add other Gen AI concepts

I am a tad biased - AWS continues to lead in generative AI infrastructure by combining open-source principles with proprietary innovations.The

Market Landscape is NOT Clear Yet

Gen AI landscape is shifting fast. Prompt engineering was the biggest thing a year back; now, Gen AIs are writing prompts for you. Then came RAG, and now RAG is commoditized and made easy. Agentic AI is all the rage right now. However, I believe that, calling functions from LLMs will be integrated directly into LLM in the coming months, and something else will become big. Keep an eye out in the market landscape and adjust accordingly. As a valued reader of this newsletter, I will keep you all posted on my insights.

Your Turn

What are your thoughts on the future of generative AI? Share your insights or questions with us. Let's keep the conversation going!

If you have found this newsletter helpful, and want to support me 🙏:

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Keep learning and keep rocking 🚀,

Raj