The New Artificial Intelligence Bottleneck and Global Economic Impacts

The inference phase in artificial intelligence has become the largest bottleneck for corporate technological development, demanding unprecedented processing capacity and energy consumption. While the global market absorbs this new structural demand, the exchange rate trades at R$ 5.16, registering a slight negative variation of -0.03% in the 7-day window and a -0.46% contraction over 30 days. This scenario of technological transition and pressure on computational inputs is redefining capital allocation in global and local assets.

To gauge the weight of this technological expansion on the real economy, inflation measured by the 12-month accumulated IPCA ended the period at 4.44%, exhibiting a +4.23% fluctuation in its 7-day trend and a -4.31% contraction over a 30-day horizon. This volatility in consumer prices and infrastructure costs demonstrates how advanced digitalization consumes heavy resources, driving up the semiconductor and data center supply chain at a time of corporate margin recomposition.

This panorama of rising costs and operational bottlenecks adds to the recent wave of market volatility, marking the fourth predominantly negative news story recently published in our editorial archive, which has already debated imported inflationary pressures and global industrial crises. From the perspective of value tradition and margin of safety, companies that spend capital recklessly without ensuring energy efficiency or return on invested capital risk destroying shareholder value in the medium term, punishing investors who ignore basic economic fundamentals in exchange for technological fads.