Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{207247,
        author = {Anumeet Kaur and Lovedeep Kaur and Kunal Sahu and Navnika Kapoor},
        title = {Next-Generation Artificial Intelligence: Trends, Challenges and Opportunities},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {124-129},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207247},
        abstract = {In recent years, the field of artificial intelligence (AI) has grown significantly. Sophisticated systems that can learn, think, and make judgments have replaced simple programs. The next generation of AI is more powerful, flexible, and capable of handling a wide range of data forms, such as text, images, and audio. Next-generation artificial intelligence (AI) is fundamentally altering economies, societies, and industries by going beyond traditional data-driven models toward more adaptive, autonomous, and human-centric systems. These advancements enable better decision-making, real-time analytics, and scalable intelligent systems in industries like healthcare, banking, environmental management, and smart cities. The latest advancements in AI are covered in this essay, along with the challenges and opportunities it offers. It also highlights how important it is to apply AI responsibly for society's benefit. In order to ensure that AI technologies have a good impact on global advancement, the results emphasize the importance of interdisciplinary collaboration, ethical design standards, and regulatory interventions. Increased productivity, customized services, sustainable development solutions, and new economic models driven by AI innovation are just a few of the significant recommendations made by the report.},
        keywords = {Artificial Intelligence (AI), Autonomous Systems, Data Privacy, AI Ethics, Deep Learning, Edge AI, Explainable AI, Machine Learning, Next-Generation AI, XAI.},
        month = {July},
        }