Artificial intelligence, data and competition
This paper discusses recent developments in Artificial Intelligence (AI), particularly
generative AI, which could positively impact many markets. While it is important that
markets remain competitive to ensure their benefits are widely felt, the lifecycle
for generative AI is still developing. This paper focuses on three stages: training
foundation models, fine-tuning and deployment. It is too early to say how competition
will develop in generative AI, but there appear to be some risks to competition that
warrant attention, such as linkages across the generative AI value chain, including
from existing markets, and potential barriers to accessing key inputs such as quality
data and computing power. Several competition authorities and policy makers are taking
actions to monitor market developments and may need to use the various advocacy and
enforcement tools at their disposal. Furthermore, co-operation could play an important
role in allowing authorities to efficiently maintain their knowledge and expertise.
Published on May 24, 2024
In series:OECD Artificial Intelligence Papersview more titles