Helport AI Publishes White Paper on AI Labor and the Evolution of Enterprise Digital Workforces
Globe Newswire•01/10/2026•08:31 ET
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Key Highlights
- ➤Philippines program revenue increased 15.71% during September
- ➤Philippines program gross margin increased 29% during September
- ➤Mexico program cases handled per worker increased 30%
- ➤Mexico program revenue per worker increased 40%
- ➤White paper introduces Helport AI's AI Labor operating model
Expert Statements
Guanghai Li, Chief Executive Officer of Helport AI
“The question for enterprise AI is no longer simply what a model can generate or what individual tasks it can automate”
Guanghai Li, Chief Executive Officer of Helport AI
“We believe the more important question is whether AI can enter a real operating environment, perform meaningful work, learn from outcomes and become more effective over time.”
Guanghai Li, Chief Executive Officer of Helport AI
“It is our belief that this transition — from AI as software to AI as measurable labor capacity — represents an important evolution and is supported by what we have observed in our own production deployments.”
Guanghai Li, Chief Executive Officer of Helport AI
“Deployment should not be viewed as the finish line for enterprise AI; it is the beginning of the learning process”
Guanghai Li, Chief Executive Officer of Helport AI
“Our objective is to create digital workers that can learn how high-performing employees work, execute across real enterprise environments and continuously improve through production feedback.”
Guanghai Li, Chief Executive Officer of Helport AI
“We believe the defining question for AI Labor is not simply what the AI can do, but whether it can complete the work, complete it correctly, and perform it better the next time.”
New publication examines how AI can progress beyond task automation to execute enterprise workflows, learn from production outcomes and deliver measurable business results
Live production programs in the Philippines and Mexico reported improvements in revenue, gross margin, worker productivity and revenue per worker during the respective project periods
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