Clemens Fuest: Grow First, Maybe Tax Later

TVS News AI redaktionell betreut präsentiert Clemens Fuest: Erst wachsen, dann vielleicht besteuern.

AI as a growth driver rather than an income brake: In Clemens Fuest's view, there is no evidence to support the concern that artificial intelligence is weakening incomes and social insurance systems. For you, this means: The issue cannot simply be dismissed as a ready-made forecast of danger, because the decisive direction of its effects still has to be tested empirically.

The focus is on a clear sequence: grow first, then adjust the tax system as economic development requires. Fuest sets out this priority in a guest article for Handelsblatt.

Why Fuest Does Not Consider the AI Concern Substantiated

According to Fuest, the widespread fear that AI is weakening incomes and social insurance systems is not based on proven facts. He does not deny every possible consequence, but rejects the idea that this concern already provides a secure basis for political decisions.

The opposing position remains open: If income losses or burdens on social insurance systems do emerge, the tax system could still be adjusted later, according to his approach. The decisive factor, he says, is first to make use of the economy's existing growth potential.

Why the Sequence Matters for the State

Fuest is therefore betting on economic growth before premature taxation. The state could adjust its tax system later if new income structures or changes in tax bases make this necessary. His central thesis is: The benchmark should not be the feared impact of AI, but the economic performance actually achieved.

This is less a ready-made tax recipe than a priority: unlock potential first, then decide on taxation. How robust this approach ultimately is depends on whether the expected growth effects materialize and what consequences artificial intelligence actually has for incomes and social insurance systems.

What Follows from Fuest's Article — and What Does Not

The economist's interpretation is especially well founded: For him, the concern about AI is not empirically substantiated, and he believes later tax adjustments are possible. The article does not provide substantiated forecasts about growth rates, incomes or social insurance systems.

If you want to follow the debate closely, it is therefore worth looking at the actual data: Does AI heat up productivity, does it change incomes, or does it burden social security systems? Only such evidence would strengthen or weaken Fuest's sequence.

Added value for you: The debate can be better understood if you examine growth, income distribution and the tax burden separately. The article provides a clear starting position rather than a ready-made forecast.