I think it's actually the complete opposite. The current biomimetism direction being privileged by the modern A.I. trends is most likely the correct way to achieve "True" A.I.

However, Inference-based A.I. is actually needed to properly tackle many of the business problems that are being thrown at ML systems today. Explainability and bias reduction can probably only be be taken so far with the current approaches, and I suspect that this "so far" is not far enough for many tasks. It's definitely the case from a practical standpoint today.

So inference-based A.I. is due for a comeback indeed, but I'd say AGI is looking like one of the main areas where the current techniques might work.