Authors :
Thamer Hamzah Adrees; Abdullah Abdulaziz Al-Ghanim
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/4s7yte88
DOI :
https://doi.org/10.38124/ijisrt/25jun1839
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
Artificial Intelligence (AI) has progressed from being a concept of the future to a transformative force actively
influencing numerous industries, communities, and our engagement with technology. Looking ahead, AI is poised to
revolutionize all facets of life, with advancements expected to impact employment, economies, healthcare, education, and
our understanding of intelligence itself. This article explores the expected future of AI, highlighting its potential implications,
challenges, and the opportunities it presents.
References :
- Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company. Available: https://wwnorton.com/books/the-second-machine-age/
- Gartner. (2023). Top Strategic Technology Trends for 2026: AI and Digital Transformation. Gartner Research. Available: https://www.gartner.com/en/articles/gartner-top-10-strategic-technology-trends-for-2023
- Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press. Available: https://yalebooks.yale.edu/book/9780300264630/atlas-of-ai/
- McKinsey & Company. (2018). Artificial Intelligence: The Next Digital Frontier? McKinsey Global Institute. Available: https://www.mckinsey.com/de/~/media/mckinsey/industries/advanced%20electronics/our%20insights/how%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/mgi-artificial-intelligence-discussion-paper.pdf
- Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press. Available: https://www.cloudspdf.com/uploads/books/Cloudspdf.com-superintelligence-paths-dangers-strategies.pdf
- Brown, T. B., Mann, B., Ryder, N., et al. (2020). Language Models are Few-Shot Learners. OpenAI. Available: https://arxiv.org/abs/2005.14165
- Schwab, K. (2017). The Fourth Industrial Revolution. Crown Business. Available: https://www.weforum.org/about/the-fourth-industrial-revolution-by-klaus-schwab/
- World Economic Forum (2019). The Future of Jobs Report 2018. Available: https://www.weforum.org/publications/the-future-of-jobs-report-2018/
Artificial Intelligence (AI) has progressed from being a concept of the future to a transformative force actively
influencing numerous industries, communities, and our engagement with technology. Looking ahead, AI is poised to
revolutionize all facets of life, with advancements expected to impact employment, economies, healthcare, education, and
our understanding of intelligence itself. This article explores the expected future of AI, highlighting its potential implications,
challenges, and the opportunities it presents.