AI Projects in the Workplace and Their Tax Implications

Artificial intelligence (AI) has developed rapidly in recent years and is being used more and more in various sectors of the economy. From automated production processes to intelligent data analysis and personalized customer service, AI offers a wide range of opportunities to increase efficiency and tap into new business areas. However, these opportunities also bring challenges, particularly in the area of taxation. Companies must ensure that they fully understand and properly manage the tax implications of their AI projects to avoid financial risks and comply with legal requirements.

Design and Implementation Phase: Tax Planning from the Start

During the design and implementation phase of an AI project, companies decide which of their units will enter into contracts with external partners and in what form this will take place, such as through licenses or service agreements. It is important to consider the tax advantages and disadvantages in this context. For example, it might be more tax-efficient to enter into contracts centrally through the main office rather than doing so on a decentralized basis. Companies must also decide whether the costs of the AI project should be deducted as business expenses or capitalized (i.e., treated as investments). These decisions influence the final tax burden.

Usage Phase: Classification and Allocation of AI Results

Once the AI project is up and running and delivering results, these results must be classified for tax purposes. Are they intangible assets such as software or specialized know-how? This question is crucial, as it determines how the results are treated for tax purposes. In addition, it must be clarified to which corporate unit the results are allocated. German copyright law plays a role here, as it does not grant the user of AI results legal ownership. To ensure tax compliance, the development of clear AI governance—that is, a set of rules for managing AI projects—is strongly recommended.

Exploitation Phase: Use and Commercialization of AI Results

In the exploitation phase, the AI results generated are either used internally or marketed externally. Tax issues arise here as well: To which group entity should the resulting income be attributed? The involvement of various group companies must be correctly recorded, and their compensation must be structured in accordance with arm’s-length principles to minimize tax risks. Particular challenges arise when large AI projects lead to a fundamental change in business processes or the business model. Such transformation projects often create new functions, risks, and intangible assets that must also be taken into account for tax purposes.

Conclusion

The use of AI in companies offers great opportunities but also poses complex tax challenges. Careful planning and implementation in all phases of an AI project are crucial to minimizing tax risks and ensuring compliance. From drafting contracts during the design and implementation phases, to classifying and allocating results during the usage phase, to correctly recording income during the exploitation phase—a well-thought-out tax strategy is indispensable. In this context, establishing comprehensive AI governance can help navigate the diverse tax requirements and derive the full benefits from AI projects.

Are you planning to implement AI projects, or are you already in an advanced project phase? At Trimborn . Partner, we have been supporting our clients with exceptional dedication in all economic and tax matters since 1979. With our offices in Düsseldorf and Oberhausen, we offer you direct points of contact. Contact us to schedule a consultation. We look forward to meeting you.