European AI Adopter Stocks Plummet as Powerful New AI Models Raise Concerns

Reviewed byNidhi Govil

2 Sources

European companies investing in AI face a stock market rout as new AI models challenge their business models, prompting investors to reassess the sector's future.

European AI Adopter Stocks Face Significant Downturn

European companies embracing artificial intelligence are experiencing a substantial stock market decline as powerful new AI models raise questions about the future of various sectors. Since mid-July, prominent AI adopters such as LSEG, Sage, and Capgemini have seen their shares drop by 14.4%, 10.8%, and 12.3% respectively 12. This downturn contrasts sharply with broader market gains, as the FTSE 100 and STOXX 600 have shown positive growth during the same period.

Source: Reuters

Source: Reuters

Impact of New AI Models on Market Sentiment

The release of advanced AI tools has prompted a reassessment among market players. OpenAI's launch of the GPT-5 model and Anthropic's introduction of Claude for Financial Services on July 15 have particularly influenced investor sentiment 1. Kunal Kothari, a fund manager at Aviva Investors, noted that these new applications are challenging investment cases, particularly for companies like the London Stock Exchange (LSEG) in the provision of financial data 12.

Valuation Concerns and Market Dynamics

Many European AI adopter stocks trade at high multiples, making them vulnerable to negative news. For instance, SAP trades at around 45 times earnings, compared to the STOXX 600's average of 17 times 1. This high valuation has exacerbated the impact of recent market concerns, with SAP shares dropping 7.2% since mid-July 2.

Debate Over AI's Impact on Software Industry

The market downturn has reignited discussions about AI's potential to "eat software," a phrase coined by Nvidia CEO Jensen Huang in 2017 1. However, some investors argue for a more nuanced approach. Steve Wreford from Lazard Asset Management suggests that companies with software deeply embedded in client workflows or with hard-to-replicate proprietary data may still maintain strong competitive advantages 12.

Differentiation in Software Vulnerability

Experts emphasize the importance of distinguishing between different types of software when assessing AI's impact. Paddy Flood from Schroders points out that enterprise-grade applications are less exposed due to their mission-critical nature and the complexity involved in replacing them 12. Similarly, companies like Experian, with unique data and deep integration into financial institutions' workflows, may be better positioned to withstand AI disruption 1.

Future Outlook and Investment Opportunities

Despite the current selloff, some investors see potential opportunities. Bernie Ahkong, Chief Investment Officer at UBS O'Connor, suggests that this could be a chance for investors to identify winners in the AI adoption race 1. However, there's a growing sense of urgency for companies heavily investing in AI to demonstrate returns on their investments 2.

As the market continues to grapple with the implications of advanced AI models, the coming months will likely see a more systematic approach to evaluating AI adopter stocks, with investors carefully distinguishing between potential winners and losers in this rapidly evolving technological landscape.

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