A Nova Onda do Mercado Que Vai Enriquecer Programadores em 2025

Summary

The speaker presents a compelling opportunity in the tech world, highlighting the emergence of vertical AI and its integration with Software as a Service (SaaS) models. By leveraging language models (LLMs), both developers and non-developers can create AI-driven solutions tailored to solve specific business problems, reducing costs and increasing revenue. Developers can create specialized SaaS offerings, while non-developers can utilize tools like GPT to automate tasks. The speaker encourages taking advantage of this transformative wave, positioning it as a unique chance to build businesses and succeed in the AI revolution.

Takeaways

• 😀 The rise of vertical AI presents a major business opportunity, akin to previous waves like infoproducts and dropshipping.
• 😀 AI verticals are specialized models trained to solve specific business problems, creating tailored solutions for industries.
• 😀 The shift from traditional software models (license-based) to Software as a Service (SaaS) revolutionized the software industry, and AI is now integrating into SaaS platforms.
• 😀 Developers are in a unique position to capitalize on this opportunity by creating AI-driven solutions that address specific needs in businesses.
• 😀 Non-developers can also participate by leveraging existing tools like GPT models to build vertical-specific AI solutions with minimal coding knowledge.
• 😀 AI-driven solutions can automate tasks and reduce costs, offering businesses significant efficiencies and savings.
• 😀 SaaS platforms that integrate AI assistants are becoming common, but vertical AI has the potential to go beyond that by fully automating and specializing in specific functions.
• 😀 The increasing demand for AI tools that can save time, reduce costs, and increase productivity is driving investment into vertical AI models.
• 😀 Developers can utilize open-source LLMs from platforms like GitHub, train them for specific tasks, and distribute them as SaaS with subscription-based pricing models.
• 😀 The key to success in this new business wave is identifying specific problems that can be solved with vertical AI, especially in industries like finance or legal services.
• 😀 The ability to reduce operational costs and provide substantial value to businesses is what makes vertical AI solutions so attractive and profitable.

Q & A

What is the new business opportunity discussed in the video?

The new business opportunity discussed in the video is centered around AI verticals, which involve using AI to solve specific problems within industries, creating software-as-a-service (SaaS) solutions tailored to those problems.

How has the distribution model of software changed over time?

Originally, software was sold in physical forms like CDs with licenses, and users would install it on their computers. Over time, this shifted to a Software-as-a-Service (SaaS) model where businesses now rent software through subscriptions rather than owning it, offering a recurring revenue model.

What are AI verticals, and why are they considered the next big wave?

AI verticals are specialized AI models trained to solve specific problems within industries. They are considered the next big wave because they offer targeted solutions, providing efficiency and cost-saving opportunities, much like SaaS transformed software distribution.

What role do large language models (LLMs) play in this new AI opportunity?

Large language models (LLMs) like ChatGPT are general-purpose AI tools that can be adapted for specific business needs. They serve as the foundation for AI verticals, which are fine-tuned to address particular problems, such as automating accounting or legal processes.

How can developers take advantage of this opportunity?

Developers can take advantage by using open-source LLMs to create tailored AI tools that solve specific problems. They can package these tools as SaaS products, selling or renting access to businesses in need of automation or optimization.

What is an example of how AI verticals can improve business operations?

An example is automating the categorization of expenses and revenues in accounting. AI could be trained to automatically classify transactions, saving businesses time and reducing the need for manual input from staff.

What does the speaker say about the potential for businesses to save costs with AI?

The speaker emphasizes that AI verticals can significantly reduce business costs by automating tasks that would otherwise require human labor, making the solutions highly attractive to companies looking to increase efficiency and lower expenses.

What is the difference between general-purpose AI tools and AI verticals?

General-purpose AI tools like LLMs are broad and flexible, while AI verticals are specialized AI models trained to solve a single, specific problem within an industry. AI verticals are more effective in addressing niche challenges with tailored solutions.

Why is the SaaS industry relevant in the context of AI verticals?

The SaaS model is relevant because it provides a subscription-based distribution method that aligns well with AI verticals. By packaging AI tools as a service, businesses can easily access and benefit from AI solutions without needing to build them from scratch.

What advice does the speaker offer to non-developers looking to get involved in this new opportunity?

Non-developers can still participate by leveraging platforms that allow them to train AI models or create AI-driven solutions, such as using tools like ChatGPT to automate tasks. They can monetize these solutions by offering them as subscription-based services.