National AI Plan Reveals Conceptual Gaps as Market Accelerates Towards Autonomous Agents — The Last 24 Hours Overview

Brazil has finally published its National Artificial Intelligence Plan, almost a year after its initial draft. But are we really prepared to lead this transformation? The news of the last 24 hours reveals a fascinating scenario: while the government presents its strategy, the market is already rushing towards autonomous AI agents.

And here is the paradox that catches my attention: we have a national plan that, according to a critical analysis of UOL, ignores basic concepts of technology, while companies like IBM Brazil already talk about era of autonomous agents as a present reality.

The Brazilian AI Plan: Ambition vs. Conceptual Reality

The Brazilian Artificial Intelligence Plan (PBIA) brings worthy advances, especially in the development of large-scale language models (LLM) for Portuguese with national data. This is fundamental for our digital sovereignty.

But here lies a question that concerns me deeply: How can we lead a technological revolution if we still confuse basic concepts? The criticism about translating “language” as “langue” instead of “linguagem” may seem pedantic, but it reveals something deeper.

In my experience accelerating startups, I’ve learned that seemingly small details often reveal fundamental gaps in understanding the problem. When a startup doesn’t clearly understand its market, it manifests itself in seemingly small decisions that compromise the entire strategy.

The PBIA does not clearly specify what it means by “curation” of data, nor does it adequately define “external dependency.” These gaps are not just semantics—they indicate a lack of strategic clarity on points that are crucial to successful implementation.

The Era of Autonomous Agents Has Begun

While we discuss basic concepts, the market is accelerating. According to Marcelo Braga, from IBM Brazil, we are leaving the era of chatbots to enter the era of autonomous AI agents, as reported by InfoMoney.

This transition marks a genuine inflection point. We’re talking about processes that used to take days and can now be executed in minutes. But — and here’s the kicker — this brings new governance, compliance and data security challenges.

The issue of LGPD is definitely at the center of the debate. And here I see a huge opportunity for Brazil: Countries that can navigate this regulatory complexity first will have a significant competitive advantage.

What are Autonomous AI Agents?

As explained by the TechTudo, AI agents are autonomous systems capable of making decisions and performing complex tasks without constant human intervention. They combine Machine Learning, Natural Language Processing, and Automation.

They are currently being implemented in:

• Customer service with complex decision making
• Logistics operations with demand forecast
• Hospital scheduling smart
• Systems orchestration business

But we still face significant challenges in data privacy and ethical decision-making. And therein lies a leadership opportunity for those who can address these issues first.

The Human Factor in the AI Equation

One of the news items that caught my attention the most was the analysis of Economic Value on authenticity in AI-powered communication. Research has shown that employees detected AI-generated messages in 59% of cases and rated them as less helpful.

This reminds me of something I always say to the startups I mentor: technology without genuine human purpose is just an empty tool. The question is not whether AI can do something, but whether it should do it.

Particularly worrying are the warnings about the use of AI in mental health. As reported by Northeast Diary and the LOOK, using AI alone in mental health treatment can lead to worsening cases, especially in critical situations.

The lesson here is clear: AI should complement, never replace, human care in sensitive areas. And this distinction is critical for companies implementing AI solutions.

Labor Market Transformation: Signs and Opportunities

THE State lists signs that a job may be at risk of automation, including repetitive tasks and companies focused on “efficiency.” Amazon, for example, is already using AI to cut down on roles and automate tasks.

But I see this as an opportunity, not a threat. Earth highlights that professions linked to digital design, AI curation and technological education are gaining relevance.

The World Economic Forum predicts growth in areas such as:

• AI and Data Analytics
• Cybersecurity
• Renewable energy
• Digital design
• AI Curation
• Technological education

The key is in the ability to interact strategically with new technologies. And herein lies a significant educational opportunity.

The Democratization of Knowledge in AI

Speaking of education, the CNN Brazil news that the Bradesco Foundation, in partnership with Microsoft, is offering the FluêncIA course for free. It has 4 hours of content on the fundamentals of Generative AI, including the history of AI, machine learning and ethics.

This is exactly what we need: democratization of knowledge in AI. When more people understand technology, the better we can navigate its opportunities and risks.

The Future of AI Devices

An intriguing news from Esmael's Blog reveals that OpenAI’s first AI device with Jony Ive won’t be a “wearable.” This suggests that we’re moving towards completely new device formats.

This information makes me think: Are we prepared for a new category of products that we don't even know how to classify yet? It's fascinating and challenging at the same time.

Practical Lessons for Leaders and Entrepreneurs

Based on the news of the last 24 hours and my experience supporting thousands of startups, I see some practical lessons emerging:

1. Focus on Governance from the Start

The transition to autonomous AI agents requires robust governance from day zero. It's not something you add later. Companies that ignore this now will pay dearly later.

2. Prioritize the Human Element

AI-generated message detection shows that authenticity still matters. Use AI to amplify human capabilities, not replace genuine connections.

3. Invest in Continuing Education

The job market is changing rapidly. Organizations that invest in retraining their teams will now have a competitive advantage significant.

4. Understand the Fundamental Concepts

As criticism of the PBIA shows, conceptual clarity is essential. We cannot lead what we do not deeply understand.

5. Think Technological Sovereignty

The development of LLMs in Portuguese with national data is strategic. External dependence on critical technologies is a real risk.

What This Means For You

If you are a business leader, entrepreneur or professional navigating this transformation, the next few weeks will be crucial. We are at a time when decisions made today will define competitive positions for years to come.

The question is no longer “if” AI will transform your industry, but “how” you will position yourself in this transformation. And here lies a unique opportunity for those who know how to act with strategic intelligence.

The news of the last 24 hours shows a Brazil in transition: between government plans that are still conceptually fragile and a market that is already moving towards autonomous agents. Between real risks of job replacement and genuine opportunities for value creation.

The future belongs to those who know how to navigate this complexity — combining strategic vision, practical implementation and, above all, keeping the human element at the heart of decisions.

In my mentoring work with startups and enterprises, I’ve helped leaders develop practical AI adoption strategies that balance innovation, governance, and human purpose. Because ultimately, the most advanced technology without clear strategic direction is just an expensive tool.