Academic example but I'm sure it's made it's way to this industry as well: in bioinformatics, this has proven tremendously useful for approximate string matching to do things like identify microbes in sequenced microbiome samples - cf https://genomebiology.biomedcentral.com/articles/10.1186/s13...
I wonder how driverless cars will effect this. Similarly I'm wondering if ride-sharing apps already are. Single cars picking up 4 adults that would otherwise be driving could potentially hugely reduce the number of cars on the road, making commutes shorter for all involved.
The first impact of self-driving cars will be much worse traffic. While ride-sharing and public transit are helpful, they are nowhere near as good as self-driving cars.
If you had a self-driving car you'd be able to set up a truly productive or relaxing environment, which you're unable to fully replicate on public transit. For example, stick in a mattress with your favorite pillow, add a shower, have a desk with nice big monitors, a webcam to take video calls, etc. Aside from just being transportation, a car is also a bubble of quiet, cleanliness, and personal security. It is a mini house on wheels, a portable locker, and a refuge.
And since you're not driving, who cares about the traffic?
Eh I can't find citations right now because I am trying to be productive but modellers and people who study this argue that a lot of traffic is caused by sub-optimal driver behavior. Specifically issues with merging/ and phantom waves that build up and cause phantom jams. Accordingly people think the self driving cars will not be susceptible to this -> less traffic(?). I do not know I agree with these claims since I haven't looked at the math but I am not so sure self driving cars will lead to "much worse" traffic than human driven cars.
Long reads from PacBio, Oxford Nanopore, and 10x are also exciting. This new tech coupled with HiC for scaffolding and single cell sequecing brings up the possibility of complete knowledge of your genome, the collection of strains in a metagenome, or all the types of cells in a tissue/cancer sample.