Innovation is not an idea, it is management

Brazil filed more than 25,000 invention patents in 2023. At first glance, the number suggests dynamism. However, the report “National Overview of Patent Filings in Brazil (2000–2023),” released by Insper's Innovation and Entrepreneurship Observatory in March 2026, reveals a less favorable picture: 80.4% of these patents are of foreign origin. Among the domestic ones, most come from universities and research institutions.

In 2024, 37 of the 50 largest filers were academic institutions, compared with only 11 companies. The picture gains more context in the coverage by Época NEGÓCIOS, which makes a central point explicit: the country has the capacity to generate knowledge, but struggles to bring it to market.

The problem, therefore, does not seem to lie in “invention,” but in converting it into real value. Most of these patents do not turn into a product, service or process with economic impact; they remain protected, but economically inert.

At the center of this gap is a recurring confusion in organizations. “Invention” is the creation of something new, whether a technical concept, a prototype or a patent. “Innovation” only materializes when that creation is incorporated into practice and produces a measurable effect, whether in revenue, efficiency, quality or competitive advantage. Without economic impact, there is no innovation. There is only unrealized potential.

This definition gains precision when one looks at the classic formulation of Joseph Schumpeter, the Austrian-American economist who treated innovation as the fundamental engine of economic development. For him, innovating means introducing new combinations into the real economy, which includes new products, new production processes, new markets, new sources of supply or new forms of organization.

In today's terms, this translates into three main fronts within companies: product innovation, when the offering is changed; process innovation, when the way of operating is transformed; and business model innovation, when the logic of value creation and capture is redefined. Innovation is an economic and organizational phenomenon, not just a technological one.

This distinction makes it possible to frame the Brazilian case more rigorously. The country produces invention, but does not sustain the process that turns it into innovation in these different dimensions. Between one and the other, there is a system that needs to operate in an integrated way. It is precisely this system that shows recurring failures.

Part of the explanation lies in the way we structure the production of knowledge. The progress of universities in filing patents was significant, driven by public policies and academic metrics. However, the incentive for intellectual property protection is not always accompanied by feasibility of application.

Many technologies are developed without a clear connection to market demands. On the companies' side, the complementary movement has not consolidated either. The capacity to absorb, develop and exploit intellectual property is still limited. The tragic result is a structural misalignment between those who generate knowledge and those who could turn it into business.

This misalignment is aggravated by a more fundamental limitation. Traditional management models do not sustain the complete innovation cycle. It is common to treat innovation as a parallel initiative, separate from strategy and day-to-day operations.

In this arrangement, ideas are developed outside the “main flow” and then have to be incorporated into a system designed to optimize efficiency, predictability and control. The outcome tends to be predictable: rejection, delay or dilution in the face of the organization's everyday demands.

The lean logic offers a relevant counterpoint. Innovation does not begin with ideas, but with concrete problems that need to be solved. Starting from them, teams investigate causes, test hypotheses and develop alternative solutions based on the scientific method. When this cycle is well conducted, innovation ceases to be an external element and becomes the result of the very functioning of the management system. This increases the likelihood of application, because the solution is born already connected to the operation and to the real need.

In the absence of this logic, the pattern repeats itself. Initiatives get stuck in bureaucratic structures, decisions are lost in hierarchical layers and solutions fail to match the real needs of the organization and the market. The result is wasted knowledge and underused talent. The Insper report itself reinforces this point by indicating that the country has a critical mass of researchers and inventors, but cannot convert this asset into competitive advantage.

Patterns of leadership and organizational behavior amplify this problem. Innovation depends on an environment where problems can be exposed, analyzed and addressed rigorously. Command-and-control structures tend to inhibit this behavior. Leaders oriented exclusively toward short-term results squeeze the space for experimentation and learning. Without that, the system stops generating new knowledge and merely repeats existing patterns.

Innovation remains disconnected from strategy, integration between companies and universities is limited, collaboration is sporadic, there is no structured portfolio management and there is a lack of leaders capable of translating technical knowledge into business opportunity. With the advance of generative AI that we are experiencing, this imbalance is likely to deepen. The volume of ideas is increasing rapidly, while their conversion into concrete applications remains dependent on the quality of management.

The answer may not lie in increasing the generation of ideas, but in improving the organizational system that turns them into value. This means placing innovation at the center of strategy, with a direct connection to business priorities; structuring effective mechanisms for collaboration with universities and startups; developing leaders with a systemic view; protecting time and resources for disciplined experimentation; adopting metrics that combine financial performance with learning; and using AI to accelerate application, not just creation.

The fundamental gap is explicit. Brazil does not have a creativity problem, but an innovation management problem. As long as invention is not treated as an input to a system oriented toward application, the country will continue to generate knowledge that does not convert into economic value. Innovation, in the Schumpeterian sense, is not the idea itself, but its effective insertion into the economic dynamic.

It is precisely this effective connection that we lack. Without it, productivity stagnates, competitiveness deteriorates and growth loses its footing. Treating this gap as a priority does not seem optional. Let us always remember that this is exactly what defines a country's capacity to turn knowledge into prosperity.