Beyond Employment: Engagement-Based Migration Integration in Post-Labour Economies

European migration governance faces a structural transformation driven by automation, digitalisation, and artificial intelligence. These technologies are simultaneously reshaping labour markets in receiving economies and accelerating labour displacement in many origin countries. Together, these dynamics challenge the traditional assumption that migration governance can rely primarily on labour-market absorption as the mechanism of integration.

This research programme develops a dual governance framework addressing migration in the age of automation, situated within a broader body of work examining economic organisation in high-automation, post-labour societies. That wider framework — developed under the concept of the Engagement Credit Economy (ECE) — explores how automated economies can maintain social participation, institutional stability, and economic equilibrium when traditional labour markets decline.

Within this broader context, the migration governance framework is structured around two complementary components:

Upstream governance, examining how AI-driven labour displacement in non-transparent or institutionally fragile economies may generate accelerated migration pressures and irregular migration networks.

Downstream governance, examining how receiving societies can maintain social cohesion and institutional stability when employment can no longer reliably function as the central mechanism of migrant integration.

The downstream component is developed in this paper through the Engagement Integration Track (EIT) — a governance architecture that replaces employment-based integration with structured civic participation supported by institutional incentive alignment across governance levels.

For decades, employment served as the primary pathway to integration in advanced industrial economies. Jobs provided income, social structure, and community entry points for newcomers. However, automation and digitalisation are progressively reducing entry-level employment opportunities, particularly in sectors that historically absorbed new arrivals.

The Engagement Integration Track therefore proposes an alternative integration model for high-automation, post-labour economies.

The framework consists of five integrated components:

• Structured Engagement Pathways enabling immediate participation in language learning, civic orientation, vocational training, digital literacy, and community contribution.
• Behavioural Filtering Through Participation, where engagement patterns reveal integration intent through sustained participation rather than administrative screening.
• Municipal Stability Credits, providing outcome-linked funding to local governments based on measurable integration indicators.
• Origin-Nation Partnership Track, incentivising governance improvements in origin countries through transparency-linked development partnerships.
• Portable Human Capital (Skills Wallet) allowing participation, competencies, and skills to be recorded and recognised across jurisdictions, facilitating circular migration and development returns.

The framework integrates insights from migration studies, behavioural economics, fiscal federalism, and development economics to propose a system that aligns incentives across migrants, municipalities, national governments, and origin countries.

Rather than treating migration as a one-directional flow, the model conceptualises migration as a circulatory development system, in which skills accumulation and governance improvements generate long-term benefits across participating societies.

The paper is theoretical and proposes an institutional architecture intended for future empirical testing through municipal pilot programmes and policy experimentation.

This paper consolidates and extends earlier conceptual work published in Zenodo record 18184015, developing the downstream integration architecture of the broader framework. The complementary upstream analysis examines the relationship between AI-driven labour displacement, governance opacity, and emerging migration pressures in origin economies.

Together, these upstream and downstream components form a unified governance architecture for migration management in the age of automation.