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European Investors Demand AI Results by 2025 or Risk Losing Patience

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European investors, while optimistic about the potential of generative AI to boost productivity and profits, are growing impatient with companies that have yet to show tangible returns on their significant investments in the technology. Many are becoming more selective, shifting focus from hardware suppliers to firms that are adopting AI solutions, such as RELX and SAP. However, the pressure is mounting for these adopters to demonstrate clear financial gains from their AI investments by next year.

The AI Boom and Shifting Investor Preferences

AI-exposed stocks, which had enjoyed a surge of interest, have been under pressure recently, particularly due to fears of a recession and the rise of low-cost Chinese AI models, such as DeepSeek. Despite the broader market challenges, Nvidia, a key player in the AI space, has seen a 29% increase in its stock price year-over-year, even amid the rollout of DeepSeek, which reduces reliance on expensive chips like Nvidia’s.

In Europe, the trend is evident as investors move away from hardware makers, with stocks like ASM International and BE Semiconductor down 25% and 20%, respectively, since the January sell-off. On the other hand, companies adopting AI, such as LSEG and SAP, have shown more resilience, with only modest declines in their stock prices.

Investor Patience Running Thin

Despite the growing interest in AI, an internal survey by Fidelity in January revealed that 72% of analysts did not expect AI to significantly impact the profitability of the companies they cover by 2025. Many European portfolio managers are adopting a shorter timeframe, warning that companies need to start delivering visible results by 2026 to justify their AI investments.

Steve Wreford, lead portfolio manager at Lazard Asset Management, emphasized that investors will be more forgiving of AI adopters in 2025, when many companies are still in the beta testing phase. However, by 2026, these companies must show a significant impact on their revenues, or investors will begin to lose patience.

The Risk of Overhyped Expectations

The current high valuations of AI-exposed stocks, including SAP and LSEG, which trade at significantly higher price-to-earnings multiples compared to the broader market, only add to the pressure. Analysts like Bernie Ahkong of UBS O’Connor warn that investors will begin questioning these premiums if substantial returns are not seen by the end of 2025.

One of the key concerns in AI investments, as noted by Paddy Flood of Schroders, is whether viable, profitable use cases for AI will emerge. To sustain investment in the sector, concrete applications of AI must be developed—whether in the form of a single “killer” use case or multiple impactful ones. Fabio di Giansante of Amundi, Europe’s largest asset manager, echoed this sentiment, stressing that AI companies need to demonstrate real benefits in terms of top-line growth and margin improvement.

Looking Ahead

With AI stocks trading at premium valuations, 2025 could be a pivotal year. If companies fail to show a tangible impact from their AI investments, it could prompt a reassessment of their valuations. As the market waits for concrete results, the pressure is on AI adopters to deliver on the high expectations that have been set.

Aurora Plans to Tackle Harsh Weather with Self-Driving Trucks Ahead of Commercial Launch

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Aurora Innovation has announced plans to enable its self-driving trucks to operate in inclement weather conditions as part of its preparations for launching commercial trips in Texas, New Mexico, and Arizona in 2025. The autonomous trucks are set to begin operations on public roads, marking a significant milestone in Aurora’s path to becoming a leader in autonomous freight transportation.

Expansion of Operational Design Domain (ODD)

Aurora intends to expand the Operational Design Domain (ODD) for its autonomous trucks to include harsher weather conditions. The ODD defines the specific conditions under which a vehicle is designed to operate safely, taking into account factors like geography, weather, and traffic patterns. The trucks will be able to operate in suburban and urban environments, dense traffic, highway construction zones with cones and barriers, as well as in both daytime and nighttime conditions.

The company is enhancing its testing strategy for the trucks to ensure their readiness for these more complex environments. This includes extensive simulations in virtual environments, evaluations on closed tracks, and real-world performance monitoring to fine-tune the vehicles before their commercial launch.

Launch and Expansion Plans

Aurora previously confirmed that it plans to initiate its service in Texas in April 2025. The service will operate within speed limits ranging from 25 miles per hour to 75 miles per hour, allowing for a wide range of operating conditions across the three states.

Partnerships and Technological Advancements

In an effort to accelerate the deployment of its autonomous trucks, Aurora has signed long-term partnerships with key players in the tech and automotive industries, including Nvidia and Continental. These collaborations are expected to enhance Aurora’s capabilities in developing and deploying driverless trucks for freight transport.

Conclusion

With plans to navigate both standard and harsh weather conditions, Aurora Innovation is positioning itself to be a major player in the autonomous trucking industry. The company’s focus on rigorous testing and strategic partnerships is expected to ensure the success of its commercial launch in 2025.

PsiQuantum Raising $750 Million to Advance Quantum Computing Technology

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PsiQuantum, a quantum computing startup, is in the process of raising at least $750 million at a $6 billion pre-money valuation, as reported by sources familiar with the matter. BlackRock is reportedly leading the fundraising initiative, which has not yet been finalized.

The company distinguishes itself from other quantum computing startups by modifying traditional manufacturing techniques from the semiconductor industry, using existing photonics technology. This technology, commonly used for fiber-optic communications, is being applied at a factory operated by GlobalFoundries in New York. PsiQuantum aims to produce millions of quantum chips, with plans to scale production significantly, a process that requires substantial investment.

Quantum computing is poised to solve problems that would be impossible for conventional computers, such as simulating molecular interactions and predicting material behaviors. This technology holds the potential to revolutionize fields like battery development and drug discovery. Major tech companies, including Alphabet’s Google, Microsoft, and Amazon, are also pursuing quantum computing, with Nvidia recently announcing plans for a quantum computing research center in Boston.

PsiQuantum has partnerships with the U.S. and Australian governments to build quantum computers in Chicago and Brisbane, respectively. Despite the long-standing history of quantum computing, advancements have only recently been made in reducing errors and improving chip reliability. PsiQuantum aims to have a functional quantum machine by 2029, a goal echoed by Google, which predicts useful quantum applications within the next five years.