This assumes that computing power cannot reach the levels of processing of the human brain.
According to this estimate that's not the case:
The firing rate in the neocortex (which hosts 80% of the brain's neurons) is between 0.3 and 1.8 per second. With 80 billion neurons in the neocortex that's a firing rate of about 24-144 billion per second.
The average number of synapses per neuron is 10,000 - while the average information content of a synapse is 0.1 bits, or ~100 bits per neuron.
So the NN processing speed of the entire human neocortex is ~2,400-14,000 billion bits per second. Now the operations it performs per firing is addition and multiplication and capping - which we can recognize with a ~10x complexity factor, so the net speed is about 24,000-140,000 billion bits of simple arithmetic operations per second. (This is probably generous to the brain.)
The Tesla AI chip computes ~144,000 billion mini-floats per second (144 TOPS), where a mini-float is 8 bits. So the total processing power is ~1,152,000 billion bits of simple arithmetic operations per second.
So if we believe these estimates then
the Tesla chip is already comfortably beyond the NN processing power of the human brain, by a factor of ~8x.
Put differently, every Tesla camera has as much NN computing power allocated as a single dedicated human brain watching that camera 24/7 ...
What the human brain arguably does much better is information storage: 1,000,000 billion synapses can store about 1,250 TB of data, which is a lot more than what Tesla can store in their NNs.
But if we accept that "legally safe driving" requires only a very small subset of the vast amount of data a human brain stores, then the Tesla AI chip can already do an order of magnitude better job, with
vastly superior control latencies.
That
is going to save lives, and this will be apparent from the accident statistics.