People 2.0 | AI Transformation Index

Overview

People 2.0 is a global Employer of Record (EOR) and Agent of Record (AOR) services provider that earns fees by acting as the legal employer of contingent workers across 40+ countries, managing payroll, compliance, onboarding, contract administration, and benefits on behalf of staffing firms and enterprise clients.

Executive Summary

People 2.0 occupies a structurally pressured position: it is a manual-service middle layer in a market where AI-native platforms are converting the same compliance and payroll functions into software at lower cost, and AI accelerates that substitution rather than creating a moat for the incumbent. The AI opportunity is real — the entire production function is automatable rules-based cognitive work — but the unrealized potential is partially offset by the fact that the business is in a race against better-capitalized tech-native EOR platforms already doing the transformation. For TPG, the strategic question is whether People 2.0 can use AI to compress its own cost structure and compete on global coverage and service quality before the margin compression from platform competition becomes decisive.

Durability Rationale

People 2.0's structural fragility stems from its position as a manual coordination middle layer in a market actively being eaten by tech-native EOR platforms — Deel, Remote, and Rippling are converting what People 2.0 delivers as a service into software, and AI accelerates that conversion. The regulatory complexity of multi-jurisdictional employment provides genuine friction against pure-software substitution, but that friction is eroding as AI-native competitors clear the same legal entity and registration requirements globally. Moderate switching costs provide some retention, but the business lacks the deep workflow embedding or system-of-record positioning that would make disintermediation structurally difficult rather than merely inconvenient.

Opportunity Rationale

The AI opportunity for People 2.0 is substantial and immediate: the entire production function is rules-based cognitive labor at scale — payroll, compliance, onboarding, contracts, invoicing — and AI can compress these workflows dramatically, transforming labor-intensive service delivery into near-automated throughput. The magnitude of improvement in applicable areas is high because the work is repetitive, multi-jurisdictional, and highly codifiable. The principal limitation on Opportunity is that the domain intelligence is not deeply proprietary — it is sophisticated rules application that general-purpose LLMs can largely replicate from public regulatory data — and the unrealized step-change, while real, is partly pre-empted by AI-native competitors who are already capturing it.

Key Risks