Training you mean. Doing inference on last year's chip is probably ok, but training a frontier model on it is going to be a deal breaker.
Training costs can be amortized over the entire lifetime of the model, but if you lose money on inference or can't offer competitive usage limits for subscribers, there's no amortizing that.