The greatest operational challenge of 2026 is not a lack of data, but its overwhelming volume and progressive contamination. The mass adoption of Large Language Models has given rise to the Synthetic Infosphere. Algorithms are now learning from data produced by other algorithms, creating a feedback loop that degrades information quality. 

“People are producing synthetic information, effectively poisoning the natural infosphere (…) creating a new reality that results from data processed by algorithms. Very soon, we will lose all understanding of the reality we operate in.”

Making investment decisions based on AI-generated “market analyses” has become a strategic gamble. These models, while capable of maintaining an empathetic tone, are—as Kubrak puts it—”as dumb as a shoelace.” They operate on the probability of the next word occurring, not on a causal understanding of the world. The winning organizations will be those that can filter data and rely on physical facts and hard research rather than digital hallucinations. 

In 2026, quantum computing has moved from academic papers to “table-turning” utility. Kubrak predicts that the arrival of units exceeding 1000 qubits will change everything from cryptography to metallurgy withinthe next five years. 

• Simulation replaces experimentation: Quantum computers allow for the modeling of changes in DNA or mineral structures without years of laboratory testing. 

• The Metallurgy Example: Discovering minerals with inverse heat flow, which radically reduces energy costs in steel smelting processes. 

Companies that ignore hardware development in favor of software alone will be left behind. The robotics statistics are ruthless: Germany currently installs ten times more industrial robots per year than Poland. In a world where the cost of energy and the degree of automation determine your margin, “cheap labor” has ceased to be an asset.