At the World Economic Forum in Davos, technology leaders agreed that 2026 will mark the transition of artificial intelligence from pilot projects to large-scale deployment. The speed and safety of this shift will depend on three factors: access to energy, cybersecurity, and companies’ ability to integrate AI with critical decision-making systems.
New scientific studies indicate that nanoparticles based on rare-earth metals may have potential in the diagnosis and treatment of brain tumors, particularly glioblastoma, one of the most aggressive cancers, with a median patient survival of around 12–15 months.
An analysis of the memory market indicates that in 2026 data centers — especially those powering artificial intelligence and large-scale computing platforms — could absorb as much as 70% of global production of DRAM and related memory chips. This raises the risk of serious shortages of this critical component across other technology sectors and consumer markets.
The United States has announced a 25% tariff on advanced artificial intelligence processors, including Nvidia’s H200 AI chips and AMD’s competing MI325X accelerators, that are shipped to China and other countries via U.S. territory or otherwise fall under the new trade measures. The decision has already been signed by President Donald Trump.