Artificial Intelligence
Social Reforms in the AI Transformation
cepInput
According to the authors’ assessment, the initial effects of the current AI transformation are not necessarily likely to manifest themselves in large-scale redundancies. Initially, AI will take over individual tasks and slow down recruitment. According to US data, the projected employment growth rate for those entering the labour market falls by 0.6 percentage points for every ten percentage points of increased AI exposure in a profession.
The cep is calling for new statistical tools, including so-called AI satellite accounts and early-warning indicators for changes in new recruitment, wages and AI-exposed occupations. Social security systems should also include a binding, legally enshrined review mechanism that regularly checks whether the wage share and contribution base are shifting as a result of AI, and which automatically triggers a review if defined thresholds are exceeded. “The Pensions Commission has made sound projections for the coming years. But a reform package without a readjustment mechanism is built on sand as soon as the wage share shifts,” says cep economist Matthias Kullas.
Furthermore, it must be clarified at an early stage how the labour sector can share in the capital gains generated by AI. “Whilst in the US even Bernie Sanders is calling for a sovereign wealth fund with a stake in AI companies, Germany is still debating share-based pensions based on the old model. Ultimately, however, it is not just a question of whether everyone shares in AI profits, but also of who controls the infrastructure on which these profits are generated. Europe therefore needs, at least in part, its own data centres and cloud capacities, because only those who control the value creation themselves can share in its returns in real terms, rather than merely symbolically,” says cep AI expert Anselm Küsters.