PSKYParamount Skydance Corporation Class B Common Stock
AI adoption · Q1 2026 earnings call
Communication ServicesScaling
6
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
AI was discussed across three distinct domains on this call: consumer-facing product features (AI-driven artwork and personalization), advertising technology (Precision Plus AI-powered ad targeting platform), and internal back-office workflow automation (finance, HR, and operational pods). Management also highlighted that approximately 80% of the engineering organization is using code-assisted technology, citing meaningful productivity gains and approval time reductions. Commentary was largely operational with some early-stage metrics, but no AI-specific revenue or cost-savings figures were disclosed.
Adopter
See full leaderboard →60/ 100
78
stage: scaling · max spec: 4
40
1 quant outcome
65
2 scopes
internal_useproduct_embedded
6 AI mentions from this call.
Extracted verbatim from the PSKY Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Q&A· COO· Internal usebroadly, how you see AI transforming the business? You mentioned on the ad tech front, but anything else that you think is notable to call out?
“Across our tech and product org, approximately 80% of our engineering organization is using code-assisted technology, which is driving meaningful productivity gains and cutting approval times by more than half.”
— Andrew Gordon, PSKY earnings call - T3Q&A· CEO· Product-embedded AIon ad sales, now that you have owned the assets for almost a year, any fresh ideas about how Paramount Skydance Corporation Class B Common Stock should be selling advertising, especially in DTC?
“On ad tech, Precision Plus—our AI-powered ad product combining first- and third-party data—is generating positive early feedback and driving performance above benchmarks. Our format innovation pod is creating new ad experiences, including streaming fixed units and sports DAI, and we are scaling for UFC. We are also using AI-driven QA.”
— David Ellison, PSKY earnings callPrecision Plus - T3Q&A· CFO· Internal usebroadly, how you see AI transforming the business? You mentioned on the ad tech front, but anything else that you think is notable to call out?
“Around AI transformation, we are spinning up pods to pursue AI-based workflows in the back office—finance, HR, and operational functions. We are enabling these both on the Paramount Skydance Corporation Class B Common Stock side and, we believe, setting ourselves up for the combination, to drive meaningful efficiencies.”
— Dennis Cinelli, PSKY earnings call - T3Prepared remarks· CEO· Product-embedded AI
“We are leveraging AI-powered capabilities across the businesses, including our agentic data warehouse and Precision Plus, our targeting and optimization platform, to move faster and operate with greater effectiveness in support of our advertising partners.”
— David Ellison, PSKY earnings callPrecision Plus, agentic data warehouse - T3Q&A· COO· Product-embedded AIbroadly, how you see AI transforming the business? You mentioned on the ad tech front, but anything else that you think is notable to call out?
“We are working on enhanced personalization across discovery, including AI-driven artwork, and building other mobile-optimized experiences like live stats for live sports, all designed to deepen engagement across the platform.”
— Andrew Gordon, PSKY earnings callParamount Plus, Pluto - T2Q&A· CEO· Internal usehow does the UI/tech stack rebuild this summer play into that step-change?
“We are hiring engineering and AI talent to compete with industry leaders; it is the combination of art and technology that drives growth, engagement, and scaled business metrics.”
— David Ellison, PSKY earnings call
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No quantification of AI-driven revenue contribution from Precision Plus despite positive qualitative commentary on advertiser feedback and benchmark outperformance.
- No dollar value or percentage estimate provided for cost savings from AI-based back-office workflow pods.
- No specific productivity metric (e.g., engineer output, ticket velocity) disclosed for the code-assisted technology adoption beyond 'cutting approval times by more than half' — the baseline and absolute time saved were not stated.
- No disclosure of AI-specific capex or opex investment amounts.
- Sean Diffely (Morgan Stanley) asked broadly how AI is transforming the business beyond ad tech; management provided operational color but no financial quantification.
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