The Era of Superintelligence and Atrophy
AI Day 2025 began with a debate that captures the historical moment we are experiencing: an era in which artificial intelligence amplifies human capabilities while forcing us to revisit fundamental concepts about work, identity, and boundaries. In the panel The Era of Superintelligence and Atrophy, Viviane Furquim, People & Performance Director at INSI, Márcio Flôres, Corporate Venture & Open Innovation Director at INSI, and Ricardo Cappra, Data Scientist & Founder of the Cappra Institute, brought a human and systemic perspective on how AI is reshaping the way we decide, learn, and operate within organizations.
Right from the start, a central point was highlighted: artificial intelligence already influences our decisions invisibly, permeating everything from routine routes, like Waze organizing our commute, to complex decisions guided by instantaneous analyses of massive amounts of data. For Cappra, this cognitive amplification is not merely about efficiency, but about a profound shift in how we relate to information.
If before the data overload created decision paralysis, today algorithms function as intelligent reducers of information, allowing professionals from all areas to engage with data without needing to master it technically. The conversational interface mentioned by Cappra transformed the human capacity for interpretation: “we have all become data analysts,” even if many have never opened a spreadsheet. This redefines not only work, but our professional identity itself.
Viviane brought an ethical and human perspective to this progress. For her, the risk does not lie in the technology itself, but in the unreflective use of superintelligence, which can easily exceed our personal and professional limits. The challenge, she said, is ensuring that AI becomes a resource for improvement, not a replacement for our critical capacity. By sharing the example of an 11-year-old student penalized for using AI on school assignments, Viviane posed an important question: are we teaching new generations to use technology creatively, or are we reinforcing outdated learning models?
Both agreed that the relationship between AI and work is undergoing an inevitable process of reframing. What we call “work” is changing, not only because of tasks delegated to AI, but because of the redefinition of the value we assign to thinking, deciding, creating, and even resting. The speed of this transformation, as highlighted by Cappra, causes discomfort, but also opens space for a new understanding of what it means to be human in an environment mediated by intelligent systems.
Viviane concluded with an essential reflection for this new technological cycle: return to the essentials, understand our limits, and recognize that technology only makes sense when it enhances our humanity. Learning, relearning, and positioning AI as a part, not the center of the human experience may be the true differentiator for the companies and professionals who will thrive in the near future.
AI Sovereignty: The Invisible Battle That Will Redesign Business
The second panel of AI Day advanced into one of the most sensitive and strategic themes of contemporary digital transformation: sovereignty in artificial intelligence. ==More than a geopolitical dispute, sovereignty means understanding where data resides, who governs it, how it circulates across systems, and most importantly, how quickly it is transformed into decisi=. In this debate, Ricardo Saravalli, Executive Digital Manager at INSI, brought a pragmatic, mature view deeply connected to the reality of Brazilian companies.
According to him, AI sovereignty is not limited to large models or the accelerated adoption of generative tools. The starting point is always the business. ==Before technology comes clarity about the pain point, the expected impact, and the value AI can genuinely generate==. From this perspective, Saravalli reinforced the importance of AI literacy, not only for technical teams but for every area of the organization. Without understanding how AI works, where it applies, its limits, and its risks, companies tend to invest in solutions disconnected from strategy, creating more complexity than results.
This literacy is precisely what allows teams to distinguish real use cases from initiatives driven by hype. It also gives employees the ability to assess risks, avoid uncontrolled use of external tools, and combat the phenomenon of shadow AI, in which internal data circulates through non-approved platforms, weakening sovereignty, security, and compliance.
Saravalli emphasized that sovereignty also involves architectural decisions. Hybrid infrastructures combining cloud, on-premises, and edge, become essential for handling sensitive data, low latency needs, regulatory requirements, and industry- or language-specific models. In a country like Brazil, where cultural, linguistic, and operational nuances influence critical processes, locally trained models reinforce not only efficiency but technological autonomy.
Another structural point is governance. For Saravalli, no AI project is sustainable without clarity on data quality, input standards, security guardrails, audit mechanisms, and transparency about where and how information is processed. Input quality defines output quality. Well-built prompts, reliable data, and well-designed architecture are as important as the model itself.
During the panel, it became evident that ==the advancement of AI is pressuring companies to revise their metrics and even their business models==. Traditional indicators, such as average handling time or ticket volume per analyst, no longer reflect hybrid operations between humans and AI agents. ==What now matters is problem resolution, the experience delivered, and the value generated at the end of the process==. This shift opens space for outcome-based models instead of license-based ones.
Saravalli also emphasized that the impact of AI on jobs should not be viewed as substitution, but as redistribution. ==When technology handles repetitive and predictable tasks, professionals can focus their energy on critical, complex, high-value work==. The future of operations will be hybrid, and competitive advantage will lie in knowing when to use AI, when to use humans, and when to combine both.
In the end, the panel converged on one consensus: AI sovereignty is not an isolated layer, but the outcome of the integration between business, technology, governance, culture, and continuous capacity building. It is a living ecosystem that demands responsible decisions, flexible structures, and constant evolution. For Saravalli, ==this is the path for AI to generate real impact with autonomy, security, and purpose within Brazilian organizations.==
Artificial Intelligence and the New Role of the CIO
In the third panel of AI Day, INSI and Gartner discussed how artificial intelligence is transforming the role of the CIO and expanding the responsibility of technology leadership in generating business value. The conversation between Roberto Certo, Chief Revenue Officer at INSI, and Vinicius Assis, Business Director at Gartner, highlighted that AI adoption requires a structural shift in how organizations learn, decide, and evolve.
One of the central points was the need for AI literacy across the company. As Saravalli emphasized in the previous panel, Roberto reinforces that AI maturity does not begin with choosing a technology, but with the ability of people to understand what AI can and cannot do. The CIO plays a fundamental role in this journey: translating AI’s potential into business objectives, creating responsible usage standards, and scaling this understanding across all areas to build a culture that sustains innovation.
This relationship between humans and AI led Roberto to reinforce an essential point: the future is not about replacing professionals, but about redefining competencies. AI accelerates learning, turns juniors into mid-level professionals faster, and frees specialists to act as curators, strategists, and opportunity identifiers. Technology increases analytical capacity but remains limited in what matters most for competitiveness: ==interpreting context, perceiving nuances, identifying leverage points, and connecting weak signals that have not yet materialized into data.==
From this perspective, the new CIO must combine governance, strategy, and education. They are responsible for integrating intelligent agents into processes, ensuring data quality, establishing guardrails, and preparing the organization to operate in increasingly automated environments. At the same time, they must promote a culture in which AI complements human work, freeing up time for deeper decisions and higher-value contributions.
The panel concluded that technology leadership now assumes a role of high cultural impact: ==developing people, guiding AI adoption, and ensuring technology serves the business==. When this foundation is built, AI ceases to be a promise and becomes a real engine of transformation.
Masterclasses INSI: Practical Insights on AI Applied to Business
The four masterclasses delivered by INSI during AI Day demonstrated, in an objective and complementary way, how artificial intelligence can generate real value when connected to reliable data, method, and a pragmatic business perspective.
Identifying AI Opportunities Mariana Couto, Delivery Manager at INSI, and Ricardo Saravalli, Executive Digital Manager at INSI, emphasized that AI only generates impact when applied to real business pains. The journey begins with reliable data, a well-executed discovery, and incremental evolution through use cases, avoiding massive reconstructions that consume time and deliver little value. Modernizing data, validating hypotheses, and proving value in small waves reduces risk and accelerates results.
AI-Augmented Development Saravalli also showed how AI is transforming the development lifecycle. When treated as a partner rather than a threat, AI accelerates delivery, expands technical capacity, and helps elevate code quality. Developers begin to engage with AI about architecture, testing, and alternatives, while different models validate and refine solutions collaboratively.
Modernization as a Value Engine Eric Monteiro, Executive Digital Manager at INSI, highlighted that modernizing legacy systems means breaking historical limitations without interrupting operations. INSI adopts a modular approach, proving value in stages, reducing risks, and creating technological foundations prepared for intelligent agents, high performance, and more fluid experiences. To modernize is to evolve the platform so the business can continue growing.
Multi-Agent Platforms and the Future of Automation Jefferson Cardoso, Executive Manager of Technology and Innovation at INSI, showed how multi-agent systems are set to become the “smartphone” of the next decade. With structured data and interconnected agents, leaders will be able to converse with their data, accelerate analysis, and make more informed decisions. Technology is only the means: the value comes from solid data, strong architecture, and a culture prepared to explore new forms of automation.
Together, the masterclasses reinforced INSI’s vision: ==applied AI does not begin with technology, but with deep business understanding, data quality, and the ability to evolve systems and people toward an intelligence-oriented environment.==