Nationwide Commits $1.5 Billion to Technology and AI Through 2028

Oct 29, 2025
Nationwide announced a $1.5 billion investment in technology innovation through 2028, including $100 million annually for AI over the next three years. The company aims to improve efficiency, service, and security across its financial partner network.

Nationwide announced a $1.5 billion investment in technology innovation through 2028, with $100 million earmarked annually for artificial intelligence over the next three years, according to a company Q&A.

The company said the investment will modernize its systems and enhance operational efficiency for its financial partners. Nationwide’s existing AI tools, such as Sales Sidekick and Copilot Chat, help teams respond more quickly and accurately to partner needs. Its Partnership Portal integrates systems into partner ecosystems to simplify workflows and increase adoption of digital tools.

Nationwide emphasized data protection as a central part of its technology strategy. Its AI tools, including Chat With Your Data, are designed for handling sensitive and regulated information, supported by dedicated Blue and Red Teams focused on security and compliance.

With more than 2,000 custom AI agents already in use, Nationwide reported productivity gains between 15% and 30%. The company said these tools allow associates to focus on higher-value tasks and improve service for both partners and members.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.