Observed Signal · Nov 12, 2025 · Other · Source: CMSWire · Impact: 2/5 · Sentiment: Neutral
Verizon: AI and Agent Experience Redefine Customer Loyalty
An interview with Alicia Gee, Senior Director at Verizon Global Consulting, discusses Verizon's 'AI in CX: Cracking the Code' report, produced with the Financial Times. The research surveyed 5,000 consumers and 500 executives across six countries. Key findings include 33% of brands developing new metrics for AI impact, 49% prioritizing customer feedback on AI, 47% of consumers frustrated by difficulty reaching human agents, 65% of brands citing data privacy limits on AI personalization, and 44% investing equally in AI-driven and human-driven CX. Gee highlights the role of AI in agent coaching, unified data views, virtual agents, and balancing automation with human connection. The article is based on a CMSWire 'Beyond the Call' podcast transcription and includes predictions that virtual agents will draw the largest CX investments.
Provides fresh industry survey data on AI in customer experience from Verizon and Financial Times; relevant to CX/MarTech decision-making but not a major platform or market shift.
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Key Takeaways & Evidence Grounding
- Verizon and Financial Times surveyed 5,000 consumers and 500 executives across six countries for the 'AI in CX: Cracking the Code' report.
- 33% of brands are developing entirely new metrics to measure AI's impact on customer experience.
- 49% of organizations said improving customer feedback mechanisms on AI use was their top goal.
- 47% of consumers said their top frustration with automated interactions is the inability to access a human agent.
- 65% of brands say data privacy rules limit their ability to use AI to enhance personalization.
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Streaming's Cloud, AI, and the Two Market Faces
This article examines the US and UK streaming markets, highlighting their shared technological foundation in cloud and AI, but different strategic priorities shaped by regulation and market structure. The US focuses on monetization and advertising, while the UK balances public service values with commercial growth. Key trends include AI-driven personalization, the rise of agentic AI, and the shift from audience-based to moment-based advertising. Major events like the 2026 UK Media Act, Netflix's ad-tier passing 250 million users, and Sky's acquisition of ITV's media arm exemplify market-specific dynamics. The future lies in 'intelligent rebundling' where owning the customer relationship and intelligence layer is key. Cloud and media experts Rahul Bhatia and Hemant Soni discussed these differences, noting that US platforms prioritize scale, sports, and first-party data, while UK regulations shape design from the start. Architectural decisions involve designing for peaks using serverless, and AI is a revenue engine. Emerging trends include AI-generated films and potential charges for cloud storage.
Amazon Plans $8B Nvidia Chip Spin-off
Amazon is reportedly in talks with investors to spin off around $8 billion worth of advanced Nvidia Grace-Blackwell AI chips into a special purpose vehicle (SPV). The company would then lease back the chips for its data centers, a move aimed at strengthening Amazon's balance sheet by shifting expensive chip costs to investors. Amazon plans to offer investors an equity stake of up to 10% in the SPV, suggesting it will not hold a majority stake. The report, citing sources familiar with the matter, highlights a broader trend among US hyperscalers to use asset-light financing methods for massive data center expansion. Amazon has announced over $200 billion in capital expenditures this year, largely for AWS to purchase more chips and build data centers. The strategy reflects how tech giants are developing innovative financing models to manage the immense capital requirements of AI infrastructure.
SPUR launches AI content tracking standard, invites OpenAI, Google to board
A coalition of media organizations including the Guardian, Financial Times, BBC, Sky, and the AP has released a new standard for tracking how AI tools use publishers' content. The Standards for Publisher Usage Rights (SPUR) initiative published its content telemetry standard on October 2, 2026. The standard creates a process to track and report when content is retrieved, grounded, cited, presented, and engaged with by AI tools, and report usage back to publishers. SPUR has invited OpenAI, Anthropic, Google, Meta, and Microsoft to join its new AI Licensing Advisory Board to help shape implementation. The board aims to ensure tracking rules work for both publishers and AI companies. SPUR is also developing agent tooling for AI companies to adopt the standard, supporting transparent reporting and licensing. Pilot programs with tech and AI companies are planned.
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