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Artificial intelligence in the R&D landscape

Abstract

The authors analyzed the factors that have a primary impact on the AI in the R&D landscape in order to reduce the research period, increase their productivity, lower costs and create a competitive product. A comparative analysis of some AI models is presented, showing the sectoral specialization and practical effectiveness in R&D.

About the Authors

S. Mikhnevich

Belarus

Sergey Mikhnevich



V. Zhukova
Академия управления при Президенте Республики Беларусь
Belarus

Vladislava Zhukova



References

1. PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution // https://www.pwc.com/gx/en/issues/artificial-intelligence/publications/artificialintelligence-study.html#:~:text=Total%20economic%20impact%20of%20AI%20in%20the%20period%20to%202030&text=AI%20could%20contribute%20up%20to,come%20from%20consumption%2Dside%20effects.

2. Generative AI could raise global GDP by 7% // https://www.goldmansachs.com/insights/articles/generative-ai-could-raise-global-gdp-by-7-percent.

3. The economic potential of generative AI: The next productivity frontier // https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economicpotential-of-generative-ai-the-next-productivity-frontier#key-insights.

4. Artificial Intelligence (AI) Market Size, Share, and Trends 2025 to 2034 // https://www.precedenceresearch.com/artificial-intelligence-market.

5. Artificial Intelligence in Healthcare Market Size, Share and Trends 2025 to 2034 // https://www.precedenceresearch.com/artificial-intelligence-in-healthcare-market.

6. The 2025 AI Index Report // https://hai.stanford.edu/ai-index/2025-ai-index-report.

7. Scientific AI: Unlocking the next frontier of R&D productivity // https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/tech-forward/scientificai-unlocking-the-next-frontier-of-r-and-d-productivity.

8. The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies // https://globalizationandhealth.biomedcentral.com/articles/10.1186/s12992-024-01049-5.

9. Realizing Transformative Value from AI & Generative AI in Life Sciences // https://www2.deloitte.com/content/dam/Deloitte/us/Documents/us-realizingtransformative-value-from-AI-GenAI-in-life-sciences-032124.pdf.

10. Optimizing financial success: The synergistic impact of artificial intelligence and R&D investments in U.S. firms // https://www.researchsquare.com/article/rs5911014/v1.

11. Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes // https://pubs.acs.org/doi/10.1021/acssuschemeng.4c01004.

12. Advancing sustainability: Biodegradable electronics and materials discovery through artificial intelligence // https://www.researchgate.net/publication/381986722_Advancing_sustainability_Biodegradable_electronics_and_materials_discovery_through_artificial_intelligence.

13. Technology and Innovation Repor t: Inclusive Ar tificial Intelligence for Development // https://unc tad.org/system/files/official-document/tir2025overview_en.pdf.

14. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare // https://www.bmj.com/content/388/bmj-2024-081554.

15. Why agents are the next frontier of generative AI // https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/why-agents-are-the-next-frontier-ofgenerative-ai

16. Exploring AI-driven Innovation in Public Sector R&D Organizations // http://apjcriweb.org/content/vol10no7/7.pdf.


Review

For citations:


Mikhnevich S., Zhukova V. Artificial intelligence in the R&D landscape. Science and Innovations. 2025;(7):11-16. (In Russ.)

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ISSN 1818-9857 (Print)
ISSN 2412-9372 (Online)