Arena AI CEO Anastasios Angelopoulos says many enterprises are unsure which AI models to rely on and are hesitant to work with “frontier” AI companies. In his comments, he characterizes corporate uncertainty as rooted in perceived risk when adopting advanced AI systems and in difficulty evaluating competing model options.
Angelopoulos also points to concerns about China-based open models, suggesting that some businesses do not feel confident about how those models should be trusted or assessed. The reporting focuses on the challenge of model selection and trust rather than on a single technical incident or product failure, with the emphasis placed on enterprise decision-making barriers.
Across the available coverage, the core message is consistent: enterprises face uncertainty about which AI models are reliable enough for real-world use. The angle centers on the trust and governance gap that emerges as more model providers and model types become available, from closed frontier systems to open models developed outside the United States.
