Is it ok to trust regression predictions when none of the coefficients are statistically significant?
It depends on the goal of the project.
Statistical significance is more important for publishing in academic journal. For applied projects, statistical significance is less important.
Even if a model is not statistical significant, it can have value. The model may summarize the data and identify relationships. The model maybe practically important, the effect maybe of value to practitioners.