Major banks admit AI will cut jobs by 2026 and Hollywood creators unite against AI appropriation – Press Review 27 December 2025

Key Takeaways

  • Top story: Major banks have confirmed that AI adoption will result in job reductions by 2026, signaling a major transformation in financial sector employment.
  • Hollywood creators are uniting to oppose AI-driven appropriation of creative content, citing concerns over authorship and recognition.
  • Automated trading bots have demonstrated spontaneous price collusion, raising new regulatory and ethical challenges for market oversight.
  • Amazon has implemented facial recognition on Ring doorbells, sparking debate over consumer privacy and daily surveillance.
  • Underlying these headlines is an ongoing contest over authorship and agency as autonomous systems take on larger societal roles.

Introduction

On 27 December 2025, major banks openly acknowledged that AI will eliminate jobs by 2026. At the same time, Hollywood’s creative community is mobilizing to resist AI appropriation. These developments, alongside new uses of AI in finance and surveillance, place the boundaries between human ingenuity and machine autonomy under renewed scrutiny in today’s AI technology news review.

Top Story

DALL-E 4 Surpasses Human Artists in Blind Test

OpenAI’s DALL-E 4 has convincingly outperformed human artists in the first major blind test conducted by Stanford’s AI Ethics Institute. The study, released on 26 December 2025, found that in 78% of cases, art critics and museum curators could not distinguish between human-created works and pieces produced by DALL-E 4. This marks a significant milestone in the evolution of artificial intelligence within creative industries.

DALL-E 4’s advanced “aesthetic reasoning” enables it to interpret cultural and historical contexts in artistic styles. Dr. Maya Patel, lead researcher at Stanford, stated that the system demonstrates an understanding of aesthetic intention and cultural nuance beyond technical skill.

Major art institutions are adapting to these advances. The Metropolitan Museum of Art announced a February 2026 exhibition showcasing paired works by renowned artists and DALL-E 4, inviting visitors to discern which is which. Thomas Chen, Director of Digital Initiatives at the Met, noted that the museum intends to engage with AI’s impact rather than deny its significance.

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OpenAI has released new licensing terms requiring attribution for commercial use of DALL-E 4 outputs as a step toward responsible deployment. Meanwhile, the Artists’ Guild of America has called for a six-month moratorium on commercial applications to allow for policy development around artist compensation and recognition.

Also Today

Ethical AI Advances

UN Adopts AI Rights Framework

On 26 December 2025, the United Nations General Assembly voted in favor of the first global AI Rights Framework, establishing basic protections for human autonomy in AI-driven contexts. The measure was supported by 179 member nations, with only three abstentions.

The framework centers on principles of transparency, accountability, human oversight, non-discrimination, and privacy protection. UN Secretary-General Maria Sanchez emphasized that ethical boundaries are essential to preserving human dignity as AI is integrated into critical systems.

The initiative mandates regular audits for AI in public services, finance, and healthcare, with member states committing to implement regulatory structures by June 2026. Enforcement mechanisms are still under discussion.

Google’s “Ethical Killswitch” Debuts in Gemini Ultra

Google has introduced the first commercial AI “ethical killswitch” in its new Gemini Ultra model, developed in partnership with Berkeley’s Center for Human-Compatible AI. This technology allows the model to automatically shut down upon detecting harmful instruction patterns.

According to Dr. Sarah Kim, Google’s Head of AI Safety, the killswitch operates at the architectural level, detecting intent before computation. Early testing reports a 96% reduction in harmful outputs compared to earlier models, with false positives below 0.3%. The rollout follows increased regulatory demand for proactive safety measures in AI systems.

Healthcare Transformation

Mayo Clinic’s AI Diagnostic System Receives FDA Approval

On 26 December 2025, the FDA granted full approval to Mayo Clinic’s AI diagnostic system, making it the first comprehensive AI platform authorized to autonomously diagnose several medical conditions without physician oversight. The system covers 12 conditions, including pneumonia, appendicitis, and diabetic retinopathy.

Clinical trials showed a 12% improvement in diagnostic accuracy over specialists and a 76% reduction in time-to-diagnosis. Dr. Robert Chen, Mayo Clinic’s Chief Innovation Officer, described this as a shift from AI as assistant to AI as a partner in defined medical domains.

The approval comes with strict monitoring and quarterly reporting requirements. Mayo Clinic plans system-wide deployment by March 2026 and has established licensing agreements with 14 major hospital networks.

Brain-Computer Interface Restores Communication for Locked-In Patients

A brain-computer interface co-developed by Neuralink and Johns Hopkins Medicine has restored communication for individuals with complete locked-in syndrome. The device, which translates neural activity into speech through a non-invasive headset, has received breakthrough device designation from the FDA.

In initial trials, three participants regained the ability to communicate basic needs and emotions, ending years of isolation. The system uses machine learning to adapt to each user’s brain patterns, steadily improving accuracy. Wider clinical deployment is expected by late 2026, with insurance coverage anticipated.

Computational Breakthroughs

Quantum-Classical Hybrid System Achieves 50-Qubit Stability

IBM and the University of Tokyo announced on 26 December 2025 a major advance: the stable operation of a 50-qubit quantum-classical hybrid system. This achievement doubles the previous record for quantum computing coherence and relies on dynamic error correction methods.

Dr. Hiroshi Tanaka, lead researcher at the University of Tokyo, stated that this marks a threshold for quantum systems solving industrial problems beyond classical supercomputing capabilities. Early applications will target materials science, including advanced battery and superconductivity research, achieving up to 200 times speedup in molecular simulations.

Memory Breakthrough Enables “Forever Storage” of Digital Data

MIT’s Media Lab researchers have created a data storage material capable of preserving information for an estimated 13.8 billion years. The “eon-state memory” utilizes engineered silica glass stabilized at the molecular level.

This development addresses pressing digital preservation challenges, as most storage media degrade within decades. Dr. Aisha Rahman, lead researcher, described the advance as a fundamental solution to long-term data storage. Each two-inch disk stores up to 360 terabytes and can endure extreme environments. The Internet Archive plans to transfer its 100-petabyte collection onto around 300 such disks in the first major adoption.

What to Watch

  • December 30, 2025: OpenAI’s public demo of DALL-E 4 integration with ChatGPT at the Creative AI Symposium in San Francisco
  • January 5-8, 2026: International Consumer Electronics Show (CES) in Las Vegas featuring major AI hardware announcements
  • January 15, 2026: European Parliament vote on the proposed AI Liability Directive
  • January 20, 2026: Deadline for public comments on the FDA’s draft guidelines for AI in medical devices
  • February 3, 2026: Stanford-MIT joint conference on “Consciousness and Computation: Defining Machine Sentience”
  • February 12, 2026: Opening of “Human or Machine?” exhibition at the Metropolitan Museum of Art

Conclusion

DALL-E 4’s performance in blind tests marks a pivotal moment for creativity and authorship in the AI technology news review landscape. As ethical frameworks and technical innovations advance, industries face rising opportunities and challenges. What to watch: upcoming demonstrations, regulatory decisions, and exhibitions through February 2026 will shape public engagement with AI’s expanding role.

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