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Wizz Air Raises Cost Concerns Over EU Passenger Rights Reform

Critique Of Outdated Regulations

Budget airline Wizz Air has sharply criticized the recent political agreement forged by the European Parliament and the European Council to overhaul EU air passenger rights. The carrier warns that these reforms could drive up ticket prices for millions of travelers by undermining the very operational flexibility that supports affordable air travel across Europe.

Operational And Economic Challenges

While supporting the need for transparent information, Wizz Air argued that the proposed changes are based on a regulatory framework introduced more than two decades ago.

According to the airline, today’s aviation sector faces higher traffic volumes, infrastructure constraints, and recurring disruptions in air traffic control, requiring a more up-to-date approach. Wizz Air also criticized EU policymakers for expecting airlines to bear the costs associated with broader shortcomings in air traffic management.

Passenger-Centric Concerns And Family Travel

The airline also addressed measures related to baggage charges. Wizz Air said mandatory disclosure requirements could limit airlines’ ability to offer unbundled fares and put pressure on the low-cost model.

It also pointed to its policy of providing complimentary seating for children under the age of 14 next to a guardian and called on other airlines to adopt similar practices.

Balancing Regulation With Consumer Choice

Wizz Air urged EU institutions to ensure that the final rules do not create unnecessary administrative burdens or lead to higher travel costs. The carrier said the changes should strike a balance between strengthening passenger rights and preserving the flexibility and affordability of low-cost air travel.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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