Are Nvidia’s shares overvalued following the surge of artificial intelligence?
List of Authors
  • Ahmad Hilmi Farhan

Keyword
  • Stock Valuation, Artificial Intelligence, NVIDIA

Abstract
  • The research examines whether NVIDIA's shares are overvalued in the wake of rapid advancements in artificial intelligence (AI), with a particular focus on the role of graphical processing units (GPUs). The study uses a qualitative methodology to analyse NVIDIA's financial performance, market trends, and the impact of technological innovations on its stock valuation. Findings indicate that NVIDIA’s significant market share and pioneering role in AI and gaming have led to a sharp increase in its stock price, potentially inflating its market valuation beyond fundamental financial metrics. This overvaluation speculation is supported by an in-depth financial analysis comparing NVIDIA to its peers, revealing that its market price may reflect heightened investor expectations tied to the AI boom and its central position in the gaming industry. The research concludes that while NVIDIA demonstrates robust financial health and industry leadership, the disproportionate rise in its stock price suggests a market sentiment heavily influenced by future growth prospects in AI, warranting cautious investor assessment against traditional financial indicators.

Reference
  • 1. Chen, S. (2024). Research on Nvidia Investment Strategies and Analysis. Highlights in Business, Economics and Management, 24, 2234-2240. 2. Walkelin, J., & Baker, A. (2024, 1 16). Top 5 developments driving growth for video games . Retrieved from PwC: https://www.pwc.com/us/en/tech-effect/emerging-tech/emerging-technology-trends-in-the-gaming-industry.html#:~:text=Total%20video%20game%20revenue%20is,pay%20a%20premium%20to%20reach. 3. Wang, Y. (2023). NVIDIA's Operating Strategy Analysis Based on Multiple Valuation Method and SWOT. BCP Business & Management, 45, 24-34. 4. Fernandez, P. (2007). Company valuation methods. The most common errors in valuations. IESE Business School, 449, 1-27. 5. Fang, Z. (2023). Research and Application of Company Valuation Methods. BCP Business & Management, 45, 109-114. 6. Dally, W. J., Keckler, S. W., & Kirk., D. B. (2021). Evolution of the graphics processing unit (GPU). IEEE Micro, 41(6), 42-51. 7. Poole, D. L., & Mackworth, A. K. (2010). Artificial intelligence: Foundations of computational agents. . Cambridge, UK: Cambridge University Press. 8. Ackoff, R. L. (1989). From data to wisdom. Journal of Applied Systems Analysis 16(1), 3-9. 9. Talib, M. A., Majzoub, S., Nasir, Q., & Jamal, D. (2021). A systematic literature review on hardware implementation of artificial intelligence algorithms. The Journal of Supercomputing, 77, 1897–1938. 10. Lecun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. nature, 521(7553), 436-444. 11. Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., . . . Asari, V. K. (2018, September 12). The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches. Retrieved from arxiv.org: https://arxiv.org/abs/1803.01164 12. Wu, T., He, h., Liu, J., Sun, S., Liu, K., Han, Q.-L., & Tang, Y. (2023). A brief overview of ChatGPT: The history, status quo and potential future development. Journal of Automatica Sinica 10.5 , 1122-1136. 13. Roumeliotis, K. I., & Tselikas, N. D. (2023). ChatGPT and Open-AI Models: A Preliminary Review. Future Internet, 15(6) 192. 14. Stanford University Human-Centered Artificial Intelligence. (2023). Artificial Intelligence Index Report 2023. Retrieved from Stanford University Human-Centered Artificial Intelligence: https://aiindex.stanford.edu/report/ 15. Chui, M., Hazan, E., Roberts, R., Singla, A., Smaje, K., Sukharevsky, A., . . . Zemmel, R. (2023, June). The economic potential of generative AI: The next productivity frontier. Retrieved from McKinsey Digital: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-AI-the-next-productivity-frontier#/ 16. PwC. (2017). Sizing the Prize: What's the real value of AI for your business and how can you capitalize. PwC. 17. Edwards, C. (2004). Adapting to the waves [nVidia 3D graphics processors]. IEE Review, 50(11), 40-43. 18. Beck, J. C. (2004). Got game. Boston: Harvard Business School Press. 19. Zackariasson, P., & Wilson, T. L. (2010). Paradigm shifts in the video game industry. Competitiveness Review: An International Business Journal, 20(2), 139-151. 20. Cadin, L., & Guerin, F. (2006). What can we learn from the video games Industry? European Management Journal, 24(4), 248-255. 21. Dow, R. (2024, March 5). Shipments of graphics add-in boards increase for third quarter in a row . Retrieved from Jon Peddie Research: https://www.jonpeddie.com/news/shipments-of-graphics-add-in-boards-increase-for-third-quarter-in-a-row/ 22. Damodaran, A. (2024, January). Enterprise Value Multiples by Sector (US). Retrieved from NYU Stern: https://pages.stern.nyu.edu/~adamodar/New_Home_Page/datafile/vebitda.html 23. Tian, C. (2024, May 6). Guru Focus. Retrieved from Guru Focus: https://www.gurufocus.com/ 24. Alpha Spread Limited. (2024, May 6). Alpha Spread. Retrieved from Alpha Spread: https://www.alphaspread.com/security/nasdaq/nvda/summary 25. similarweb. (2024, March). chat.openai.com. Retrieved from similarweb: https://www.similarweb.com/website/chat.openai.com/#overview 26. Sarkar, S. (n.d.). AI Industry Analysis: 50 Most Visited AI Tools and Their 24B+ Traffic Behavior. Retrieved from Writerbuddy: https://writerbuddy.ai/blog/ai-industry-analysis 27. Owens, J. D., Houston, M., Luebke, D., Green, S., Stone, J. E., & Phillips, J. C. (2008). GPU computing. Proceedings of the IEEE, 96(5), 879-899. 28. Akbulut, M. E. (2013). Do Overvaluation-Driven Stock Acquisitions Really Benefit Acquirer Shareholders? Journal of Financial and Quantitative Analysis, 1025 - 1055. 29. Chi, J. (., & Gupta, M. (2009). Overvaluation and earnings management. Journal of Banking & Finance 33, 1652–1663. 30. Andrei, D., & Hasler, M. (2015). Investor Attention and Stock Market Volatility Get access Arrow . The Review of Financial Studies 28.1 , 33-72. 31. Lerner, P. (2008, June 23). Was There a Bubble in Nasdaq? Information-Based Reexamination. 32. Donbrow, J., Rodriguez, M., & Sirmans, C. (2000). A Complete Nonparametric Event Study Approach. Review of Quantitative Finance and Accounting, 14, 361-380. 33. Sievers, S., & Klobucnik, J. (2013). Valuing high technology growth firms. Journal of Business Economics 83, 947-984.