How artificial intelligence can boost professional careers

Artificial intelligence is already a part of many professionals’ daily lives, from reviewing emails to summarizing texts and organizing ideas. The real advantage comes when the technology starts handling more complex tasks, such as analyzing extensive documents, automating processes, and generating materials without the need for a full team.

This evolution requires more than just learning commands or testing new features. It’s essential to understand each tool’s capabilities, identify situations where it can add value, and evaluate results before integrating them into professional decisions. For those who’ve already experimented with basic AI tools, developing this expertise can be a way to expand deliverables and take on new responsibilities.

From curiosity to workplace application

Generative artificial intelligence, which can produce texts, images, videos, and other content based on instructions, goes beyond simple chatbot conversations. Some tools conduct multi-stage research, others analyze files, generate videos, or help build personalized assistants for recurring tasks.

The challenge lies in choosing the right solution for each need. Market research, for example, requires criteria for selecting sources and validating information. Contract analysis, on the other hand, demands attention to detail, awareness of tool limitations, and potential interpretation errors.

Learning to work with these possibilities involves combining technical knowledge, professional context, and human oversight. The goal is to identify where technology saves time, improves a deliverable, or enables the execution of a task that previously required more resources.

Skills that expand professional opportunities

Mastering different tools helps diversify applications. Manus, for example, is designed for executing tasks with AI agents, while NotebookLM allows users to consult materials they provide. ChatGPT and Claude can support content creation, information analysis, and idea structuring.

There are also solutions focused on creating videos and synthetic voices, such as HeyGen and ElevenLabs, as well as tools that enable the development of personalized assistants. Understanding these categories helps determine which resources are relevant to each area’s daily operations.

Turning knowledge into results

Knowing how to use AI doesn’t guarantee a promotion or a new job opportunity. The key difference lies in the ability to apply knowledge to real problems, deliver consistent results, and recognize when technology isn’t enough.

For those who’ve already started exploring these tools, the next step may be to deepen their practice. The better a professional understands AI’s possibilities and limitations, the more prepared they are to decide where to use it and how to incorporate its results into their work.

Training program to advance practical skills

For professionals who already use AI at a basic level and want to move toward practical applications, Saint Paul’s Pre-MBA in Artificial Intelligence offers activities focused on using tools in management, leadership, and work contexts.

The training consists of four online practical sessions, three recorded and one live with specialists. The content covers around 20 tools, including Manus, ChatGPT, NotebookLM, Claude, ElevenLabs, and HeyGen, with topics such as autonomous research, document analysis, process automation, creation of personalized assistants, and video production with avatars.

The goal is to help participants learn about different resources and explore applications that can be adapted to their own routines. The program includes a completion certificate and 30 days of access to Inner AI Pro, a paid platform that brings together over 50 artificial intelligence tools. The investment is R$ 37.

For more information about the program and to check current conditions, visit the Pre-MBA in Artificial Intelligence page at Saint Paul.