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Home AI Regulations & Policies

Gen AI Has No Financial Impact in Most Cases

Linda Torries – Tech Writer & Digital Trends Analyst by Linda Torries – Tech Writer & Digital Trends Analyst
August 20, 2025
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Recent Decline in US AI Technology Stocks

The US AI technology stocks experienced a significant decline in value at the close of trading yesterday, with the NASDAQ Composite index down 1.4%. This decline was particularly notable in companies such as Palantir, which fell 9.4%, and Arm Holdings, which decreased by 5%. According to the Financial Times, this represents the biggest one-day fall in the market since the beginning of August.

Causes of the Decline

Some traders attribute the decline to a report released by NANDA, an AI company that originated at the Massachusetts Institute of Technology Media Lab. The report highlights the high failure rate of many generative AI projects in commercial organizations. The research, which included 52 structured interviews with enterprise decision-makers, analysis of over 300 public AI initiatives, and a survey of 153 company leaders, found that only 5% of generative AI pilots reach production and produce measurable monetary value.

Key Findings of the Report

The report notes that successful AI projects tend to be found in back-office workflows, where savings are accrued from a lowered need for third-party agencies and BPOs. However, the survey found that there was little impact on overall internal staff levels. While 90% of staff stated they have personally benefited from using publicly available AIs, such as large language models like ChatGPT, these subjective gains are not translated at the institutional level.

Challenges Facing Generative AI Projects

Many of the failed projects’ owners cited the lack of contextual awareness exhibited by generative AI models as a major challenge. This includes the ability to adapt to circumstances, change over time, and remember previous inquiries. The report highlights the need for forming partnerships with organizations that can supply systems that adapt to an organization’s specific circumstances as critical to success.

Industry Variations

The report notes that the vertical most positively affected by generative AI was media and telecom, followed by professional services, healthcare and pharma, consumer and retail, and financial services. The energy and materials sector’s rate of generative AI project launch is currently negligible. In terms of business units, sales and marketing are where most projects are or were based, with finance and procurement being the least popular.

Conclusion

The decline in US AI technology stocks may be a reflection of concerns about the practical effectiveness of generative AI as a business tool. While the NANDA report highlights the challenges facing generative AI projects, its underlying messages are weakened by the intentions behind its publication. Nevertheless, the report’s findings provide valuable insights for decision-makers tasked with implementing generative AI projects.

FAQs

  1. What was the decline in the NASDAQ Composite index?
    The NASDAQ Composite index declined by 1.4% at the close of trading yesterday.
  2. What is the success rate of generative AI pilots?
    Only 5% of generative AI pilots reach production and produce measurable monetary value.
  3. What is the most significant challenge facing generative AI projects?
    The lack of contextual awareness exhibited by generative AI models is a major challenge.
  4. Which industry is most positively affected by generative AI?
    The media and telecom industry is the most positively affected by generative AI.
  5. What is the recommended approach to increase the chances of generative AI project success?
    Forming strategic partnerships with knowledgeable vendors is recommended to increase the chances of success.
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Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries is a skilled technology writer with a passion for exploring the latest innovations in the digital world. With years of experience in tech journalism, she has written insightful articles on topics such as artificial intelligence, cybersecurity, software development, and consumer electronics. Her writing style is clear, engaging, and informative, making complex tech concepts accessible to a wide audience. Linda stays ahead of industry trends, providing readers with up-to-date analysis and expert opinions on emerging technologies. When she's not writing, she enjoys testing new gadgets, reviewing apps, and sharing practical tech tips to help users navigate the fast-paced digital landscape.

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