AI, Infrastructure, and New Global Balances

Artificial intelligence is no longer just a technological frontier. It has become an industrial, financial, and competitive lever that is reshaping big tech strategies, market balances, and companies’ investment priorities. 

This is the picture outlined by Edoardo Narduzzi, CEO of Mashfrog Group, who appeared on Friday, May 17, during Class CNBC’s special coverage to comment on NVIDIA’s quarterly results, which once again exceeded analysts’ expectations but were met with caution by the market in after-hours trading. 

According to Narduzzi, this reaction does not diminish the strength of the numbers, but rather reflects the extremely high level of expectations now surrounding the stock and, more broadly, the entire AI ecosystem. 

“Three or four years ago on this channel, we predicted that NVIDIA would become the world’s largest company by market capitalization. Today it is worth $5.5 trillion,” Narduzzi recalled. A trajectory that, in light of the latest results, may not yet have reached its peak: “The probability that NVIDIA will become the first company on this planet to be worth $10 trillion has increased with the latest numbers.” 

NVIDIA as the infrastructure of the AI revolution 

At the heart of the analysis is not only the financial performance of a single company, but the role NVIDIA has taken on within the new artificial intelligence value chain. The group’s results confirm that infrastructure demand remains very strong: semiconductors, computing capacity, data centers, and hardware architectures remain the first layer on which the AI transformation is being built. 

NVIDIA’s announced $80 billion buyback gives a sense of the scale it has reached. “It is worth roughly the market capitalization of Banca Intesa or UniCredit. That helps us understand the kind of numbers we are talking about,” Narduzzi emphasized. 

“NVIDIA’s numbers, which show revenue growing at nearly triple-digit rates year over year, tell us that the industrial revolution of artificial intelligence is now in business; it has entered companies’ processes.” From this perspective, NVIDIA represents the cutting edge of a much broader transformation. The increase in investment in its infrastructure indicates that, in the coming years, a growing share of this capital will need to be deployed across the entire AI industrial supply chain: from cloud to software, from intelligent agents to vertical applications, all the way to the reengineering of business processes. 

“NVIDIA is the infrastructure enabling this revolution,” Narduzzi said. “If demand for its components is growing, it means the outlook for concrete applications of artificial intelligence across different sectors of the economy is growing as well.” 

Toward a more fragmented AI ecosystem 

During the interview, Class CNBC also raised a crucial issue: the enormous scale of AI investments. The massive concentration of capital in infrastructure, chips, and computing capacity excites the market, but also raises questions about the economic and energy sustainability of the model. 

Alongside the race for computing power, increasingly intensive research is developing around new architectures, more efficient models, computational mathematics, and software capable of reducing energy consumption and processing costs. The question is whether this path could, over time, challenge those currently betting on major infrastructure investments. 

Narduzzi suggests reading the phenomenon in less binary terms. New architectures will not necessarily “corner” the players investing the most. Rather, AI is likely to evolve into a much more complex ecosystem than in the past. 

“It is clear that the world of AI will be far more fragmented in terms of technological architecture than the pre-AI world was,” he explained. “There will be more natural languages used, and more software used to process data and redesign processes.” 

Today, AI is often associated with a few major names, but the ecosystem enabled by these investments will be much broader: it will include infrastructure, platforms, vertical models, software agents, industry applications, and new technological components. “There will be a much greater need for integration among different systems and technological components,” Narduzzi emphasized. 

Mashfrog Group’s choice 

Despite an international context marked by geopolitical tensions, wars, trade instability, and macroeconomic uncertainty, the leading AI players continue to show solid business metrics. When the discussion moves from expectations to numbers, many of the sector’s benchmark companies continue to outperform analysts’ consensus, leaving little room for a purely bearish reading of the phenomenon. 

Edoardo Narduzzi’s appearance on Class CNBC confirms the underlying vision: artificial intelligence has entered an industrial phase. After the discovery of its generative potential, the market is now looking at its ability to concretely transform processes, supply chains, and business models. 

The next challenge will play out across the entire ecosystem: infrastructure, cloud, software, data, AI agents, vertical models, and integration capabilities. For companies, the challenge will be to understand where and how AI can generate real value. Mashfrog Group has chosen to move proactively within this artificial intelligence-driven revolution, following the trajectory of agentic AI as a service. Not the pursuit of technological gigantism as an end in itself, but the construction of architectures capable of making innovation applicable, measurable, and sustainable. This is where the artificial intelligence revolution stops being a market promise and becomes a concrete transformation of the economy.