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The twenty-first century has witnessed the rapid development of digital technologies that began in the 1960s. Among these advances stands out the now widespread use of Artificial Intelligence (AI) applications — not only by specialized institutions, but also by general users across almost all areas of human activity. The scope of these applications and their consequences have sparked intense public debate, as well as the drafting of laws and regulations to govern them. Beneath all these initiatives lies a recurring concern: are we once again entering a cycle of massive job destruction, accompanied by wage stagnation and a widening gap in well-being between high-income and low-income groups?
Wenzhou Polytechnic (China)
Zhejiang Wanli University (China)
UPM y Universidad de Valladolid (Spain)
UPV/EHU (Spain)
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The “2026 Smart Factory Outlook” report positions advanced automation —AI, computer vision and collaborative robotics— as a macroeconomic response to a 425,000-worker shortfall in industry, with adoption rates that cement a new plant model based on intelligent orchestration rather than manual labor.
Material, equipment and subcontracted labor costs rose sharply again in February 2026, according to S&P Global’s Engineering and Construction Cost Indicator, consolidating a new inflationary cycle that is reshaping the viability of industrial projects worldwide.
China is preparing to switch on in 2027 the China Initiative Accelerator Driven System (CiADS), the world’s first megawatt-scale accelerator-driven subcritical nuclear reactor, designed to burn uranium up to 100 times more efficiently and cut nuclear waste lifetime to less than a thousandth of current levels, a development some experts see as the basis for a safe energy source for the next 1,000 years.
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