New York Life Communications Staff Adopted Generative AI
The team shifted from tactical to strategic workflows, though satisfaction levels have stabilized following initial gains.
Updated on Oct. 12, 2026 in Artificial Intelligence
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The 70-person communications team at New York Life has integrated generative AI tools into their drafting processes to handle repetitive rewriting tasks. This shift aims to move staff from tactical operations to higher-level strategic work.
Why it matters
The adoption reflects a broader corporate push to quantify the return on investment for AI tools by automating routine drafting. The focus is on reallocating human capital toward strategic output as departments experience increased pressure to accelerate task completion.
Current job satisfaction among the 70-person communications team sits at 74 percent, down from a peak of 80 percent after initial implementation. This variance coincides with increased departmental pressure to maintain high-speed output as AI adoption scales company-wide.
The players
New York Life
A major insurance and financial services provider that has begun implementing generative AI across internal communications workflows.
Paul Gennaro
The chief communications officer at New York Life who oversees the integration of digital tools and a digital chief of staff.
Ed Mayer
A presenter who disclosed internal organizational data regarding AI adoption and team satisfaction trends at a recent industry conference.
The details
Communications staff at New York Life utilize generative AI to automate repetitive rewriting tasks, guided by internal mandates that require human oversight throughout the drafting process. Chief communications officer Paul Gennaro also utilizes a digital chief of staff to assist in operational management. The shift focuses on offloading tactical labor to models so employees can prioritize strategic communications objectives.
Timeline
Earlier this year, Ed Mayer presented AI adoption data at a conference in Nashville.
The Tech Race
The Ragan conference presentation established a benchmark for how corporate communications teams quantify the transition from manual drafting to AI-assisted workflows. This case marks a departure from speculative testing, showing how large institutions measure the tangible impact of AI on internal staff retention and output.
For corporate teams, this indicates that the initial productivity gains from AI tools may be offset by increased workload expectations from other departments. Successfully navigating this transition requires balancing automated drafting speed with human oversight mandates to maintain output quality.
The takeaway
Organizations looking to scale AI must prepare for shifts in team sentiment as pressure to increase throughput rises alongside automation. Watch for upcoming industry reports on the financial return on investment for these tools, which communications departments will be tasked to demonstrate.
Further reading
For broader trends on how large organizations are deploying LLMs, explore our Artificial Intelligence section.
Source note: This article includes information reported by Ragan Communications.
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