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Border Tech Delays Cloud Efficiency Outlook For European Airports

by THEFUTURE.TEAM

February 13, 2026

Operational Challenges Disrupt Border Control

The rollout of the Schengen Entry/Exit System (EES) is causing significant operational disruptions at European airports, with border control delays reaching up to 2 hours and potentially up to 4 hours during peak summer months. This development has raised serious concerns among key industry bodies as the system’s current phase requires the registration of 35 percent of third-country nationals entering the Schengen Area.

Staffing Shortages and Technological Hurdles

In detailed correspondence to EU Commissioner for Internal Affairs and Migration Magnus Brunner, airport authorities and airline representatives from ACI EUROPE, Airlines for Europe (A4E), and the International Air Transport Association (IATA) outlined three primary challenges. First, chronic understaffing in border control services continues to intensify delays. Second, ongoing technological issues, particularly those related to border automation systems, are creating additional operational inefficiencies. Finally, the limited adoption of the Frontex pre-registration application among Schengen states further aggravates the situation.

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Urgent Need for Flexible Policy Adjustments

Industry experts warn that as mandatory registration potentially expands to all crossings during July and August, queue times at airports might surge to four hours or more. Such delays could undermine the operational efficiency and reliability of European air travel, particularly during peak travel periods when airport traffic doubles. The concerned organizations have urged the Commission to guarantee that member states retain the flexibility to partially or fully suspend the EES until the end of October 2026, a safeguard that may become unavailable under Regulation 2025/1534 by early July.

Balancing Efficiency With Security

Critics of the current EES rollout point to a stark disconnect between the optimistic assessments of EU institutions and the harsh operational realities faced by non-EU travelers. As emphasized by Olivier Jankovec, Ourania Georgoutsakou, and Thomas Reynaert, the continued delays and inconvenience signal a pressing need for immediate corrective measures. They stress that a flexible, responsive approach is essential not only for managing peak season traffic but also for preserving the EU’s reputation as an efficient, welcoming, and desirable destination.

Looking Ahead: Ensuring a Sustainable Rollout

Moving forward, policymakers must reconcile the dual imperatives of security and operational efficiency. The experience at Europe’s airports serves as a critical reminder that technological innovations in border control must be implemented with realistic assessments of capacity and resource allocation. A balanced strategy that accommodates periodic suspensions or adjustments could be key to avoiding widespread disruptions in a busy travel environment.

The Future Forbes Realty Global Properties

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

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Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.