Customer Experience Firm Fusion CX Aims to Double AI Revenue Contribution
Fusion CX plans to increase the proportion of its revenue derived from artificial intelligence-enabled services and data infrastructure from 10% to 25% within 12-18 months. The IPO-bound company is focusing on data annotation, video labeling, and AI model training services to support the growing demand for AI infrastructure globally. The expansion is expected to create positions for annotators, trainers, quality auditors, and other specialized roles across multiple continents.
Fusion CX has identified a critical gap in the artificial intelligence ecosystem: the shortage of quality training data needed to develop and refine AI models. Rather than competing directly in model development, the company is positioning itself as essential infrastructure support, providing services like image and video annotation and remote operations for robotics systems. This specialization addresses a bottleneck that constrains AI advancement globally, as even well-funded AI initiatives require substantial human effort to prepare datasets.
The company's growth trajectory demonstrates investor confidence in this market segment. With operations spanning 40 delivery centers across 13 countries and a consistent three-year growth rate near 28 percent, Fusion CX is expanding its specialized workforce to meet demand. The planned capital raise of Rs 800-1,000 crore signals ambitions to accelerate this expansion and consolidate market position through acquisition, similar to their September acquisition of VA Platinum.
The expansion of AI data infrastructure services could reshape employment patterns across multiple regions and skill levels. Workers in data annotation and model training roles may experience increased job opportunities, particularly in developing economies where these centers operate. However, this employment growth depends on sustained demand for human-in-the-loop AI work, which could evolve as automation technology advances. The model's profitability structure—where companies retain only 30-40 percent of AI savings—may influence service accessibility and pricing for smaller organizations adopting AI solutions.