Gartner GenAI Cost Forecast Sparks Industry Pushback

Gartner’s latest prediction that GenAI resolution costs will exceed $3 by 2030 – outstripping offshore human agents – has contradicted many of their previous CX industry predictions.

The analysis highlights how consumption-based pricing, rising infrastructure demands, and specialized AI talent requirements can drive escalating costs – particularly when vendors are not accountable for automation outcomes or cost control.

It suggests that misaligned incentives across technology providers, partners, and enterprises may contribute more to poor return on investment than limitations in generative AI capabilities.

In contrast, the piece points to outcome-based partnership models, where compensation is tied to completed and sustained resolutions, as an alternative approach to managing AI economics in customer service.

According to the commentary, this structure creates shared accountability for optimization, automation performance, and long-term value delivery.

The perspective reflects work undertaken by CX services provider Sabio, which has implemented risk–reward commercial arrangements linking fees to measurable business outcomes.

The company argues that future AI cost trajectories will vary significantly depending on whether organizations adopt consumption-driven or outcome-driven partnership models.

Overall, the commentary concludes that the long-term viability of AI in customer service will depend less on technological advancement and more on how accountability, incentives, and commercial risk are structured between enterprises and their technology partners.

Author: Hannah Swankie

Reviewed by: Robyn Coppell