Artificial Intelligence and Its Effects on Semiconductor Memory Supply Chains

@article{1717902,
      author = {Pratik Rajendra Kulthe, Tushar Ambadas Chaudhary, Roshan Chandrabhan Fokane, Prof. Abreshmeena Shaikh},
      title = {Artificial Intelligence and Its Effects on Semiconductor Memory Supply Chains},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {2360-2364},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1717902.pdf},
      abstract = {The rapid growth of Artificial Intelligence (AI) has dramatically increased the demand for advanced computing hardware, especially semiconductor memory such as RAM and SSD. The demand for good sized statistical garage and fast memory get uptake to with the help of AI technology which includes system exploration, deep learning, and large-scale language modeling is increasingly exciting global memory manufacturing and supply chains. As tech companies ramp up their AI data centers and cloud systems, the surge in demand for memory has pushed up costs and created supply shortages that impact both companies and customers. Moreover, the slow growth of semiconductor manufacturing capabilities and the inherent technical complexities of chip manufacturing have exacerbated these demanding situations. Ultimately, this will encourage more investments in the production of computer chips, promote innovations in memory technology, and enhance logistics operations. The research looks into the implication of such a trend for the future demand for memory considering the increasing application of artificial intelligence and analyzes the main reasons for the shortage of RAM and SSD supply.},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1717902}
  }