EU Poised to Designate AWS and Azure as Gatekeepers, Waymo Recalls Robotaxis Over Construction Zone Incidents

The European Union is on the verge of designating Amazon Web Services (AWS) and Microsoft Azure as “gatekeepers” under the landmark Digital Markets Act (DMA). This move, expected next week according to insider reports, would subject these major cloud providers to stricter regulations within the EU. The investigation, initiated due to significant outages of these cloud services that have had cascading effects on other internet services, like the Signal messenger following an AWS disruption, could mark the first time cloud services are brought under the DMA’s gatekeeper provisions. A final decision on this classification is anticipated by the end of 2026.

This potential designation means AWS and Azure would face new obligations aimed at fostering fairer competition in the digital market. While the exact implications are still unfolding, gatekeepers under the DMA are typically required to allow third-party software to interoperate with their own services and to refrain from self-preferencing. The EU’s focus on these cloud giants highlights growing concerns about the concentration of power and the potential for market distortion by dominant online platforms.

Waymo Robotaxis Recalled for Construction Zone Incidents

In a separate development impacting AI-driven mobility, Alphabet’s autonomous vehicle subsidiary, Waymo, is recalling nearly 4,000 of its robotaxis. The recall is a response to multiple instances where the AI-controlled vehicles have driven into highway construction zones. Waymo has documented at least 13 such incidents, with six occurring in Phoenix in April and seven in San Francisco in May.

Following these occurrences, Waymo temporarily suspended highway driving for its fleet in several major US cities at the end of May. The company has stated that a solution to this issue is “currently in development,” according to documents filed with the U.S. National Highway Traffic Safety Administration (NHTSA). This situation underscores the ongoing challenges in ensuring the robust and safe operation of autonomous systems in complex and dynamic environments, particularly those involving temporary infrastructure changes like construction sites.

Deutsche Bank Leverages AI for Productivity Gains

Deutsche Bank is actively integrating artificial intelligence to accelerate internal processes and reduce project backlogs. According to a senior IT manager, tasks that previously took up to two years are now being completed in three to six months. While specific figures on productivity improvements were not disclosed, the bank noted that backlogs, which once took months to clear, are now being addressed within weeks. The bank aims to further optimize workflows using these AI tools, with a particular focus on cost control. This is especially relevant as providers increasingly shift from subscription-based to usage-based pricing models.

The bank’s embrace of AI for efficiency reflects a broader trend across industries to harness machine learning and advanced analytics for operational improvements. The ability to drastically reduce project timelines and clear internal bottlenecks can lead to significant cost savings and enhanced agility, allowing the institution to respond more effectively to market demands.

Payment Trends in Germany

In Germany, cash transactions have fallen below 50% for the first time, with cashless payments accounting for over half of all transactions in the past year, according to the Bundesbank. Cash was used in only 45% of payment processes. Debit cards remain a popular choice, used in 26% of all payments, while mobile payment solutions via smartphones accounted for 10%. Internet payment methods doubled their share to 6% compared to 2023. Despite the rise of cashless options, the Bundesbank’s findings indicate that a complete choice of payment methods is not always available, with criticisms raised regarding the lack of acceptance for both cash and cashless options in some instances.

Smart Meter Challenges

Smart meters, which record electricity consumption in 15-minute intervals, are the foundation for dynamic electricity pricing. These detailed measurements allow consumers to align their usage with fluctuating market prices, potentially lowering costs by charging large appliances like electric cars during off-peak, cheaper hours. In periods of electricity surplus, even negative wholesale prices are possible, meaning consumers could be paid for their consumption. However, the accuracy of these systems relies on correctly assigning meter points to households. Errors in this assignment could lead to consumers being billed for their neighbors’ usage. The c’t consumer protection podcast “Vorsicht, Kunde” addresses how consumers can assert their rights against meter operators in cases of inaccurate billing due to smart meter errors.

Key facts

The implications of these developments are varied but significant for readers interested in AI and technology. The EU’s regulatory push on cloud giants signals a proactive approach to managing the influence of large tech companies, which could shape the future of cloud computing services. Waymo’s recall points to the critical need for AI systems, especially in autonomous driving, to be rigorously tested and validated against real-world complexities like road construction. Meanwhile, Deutsche Bank’s AI adoption demonstrates the tangible benefits of AI in enterprise, showcasing how it can drive substantial operational efficiencies. Finally, the evolving payment landscape and smart meter issues touch upon the increasing digitalization of everyday services and the associated challenges in ensuring accuracy and consumer rights.

Source: Heise KI – Freitag: EU-Auflagen für US-Clouds, Robotaxi-Rückruf wegen Autobahnbaustellen (https://www.heise.de/news/Freitag-EU-Auflagen-fuer-US-Clouds-Robotaxi-Rueckruf-wegen-Autobahnbaustellen-11337878.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag)