• Priyanshu Keshari
• Prashant Singh
• Ayush Gupta

Artificial intelligence may have a significant influence on how well the current economy operates. It may, however, have a bigger impact by establishing a new, all-purpose "method of invention" that may change how R&D is structured and how innovation occurs. We distinguish between current "deep learning" breakthroughs and the possibility for this technology to be used as a general-purpose innovation strategy. Furthermore, we uncover considerable evidence of a "shift" in the relevance of application-oriented learning research since 2009. We believe that this will result in a considerable shift away from routine labor-intensive research and towards research that takes use of the interaction between passively generated massive datasets and better prediction algorithms. Simultaneously, the potential financial gains from mastering this form of research are expected to usher in a period of racing, fueled by tremendous incentives for individual corporations to acquire and control essential huge datasets and application-specific algorithms. We believe that policies that promote transparency and sharing of essential datasets across both public and commercial players will be important instruments for increasing research productivity and innovation-driven competitiveness in the future.

"The Impact of Artificial Intelligence on Innovation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.b210-b217, June-2023, Available :http://www.jetir.org/papers/JETIR2306126.pdf

"The Impact of Artificial Intelligence on Innovation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppb210-b217, June-2023, Available at : http://www.jetir.org/papers/JETIR2306126.pdf