Sep 24, 2020
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Making Money On Self-Driving Cars: The Roving Eye Will Be Golden

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Let s start thinking outside-the-box about easy ways to make money via self-driving driverless autonomous. At lots of my speaking engagements on self-driving driverless autonomous cars beyond a similar old technology-based questions I also oftentimes get asked various business-oriented questions on whether autonomous cars will be profitable. You may have already assumed that self-driving cars will be profit-making vehicles


Indeed that’s certainly a natural assumption to make. Why on the earth would all of those automakers and tech firms be toiling away at trying to make build test and deploy driverless cars unless they felt pretty strongly that there has been an honest profit to be made? Correctly some are suggesting that whoever gets to the vaunted true autonomous car first the Level 5 that will have an onboard AI system driver that may take you anyplace that a human driver could will be in the bucks theyll get the reward of vast riches for his or her labors and be soaking in obscene amounts of money


Some AI developers are slogging forward because the Level 5 is a moonshot-like challenge and provides a puzzle to be solved unlike any they could otherwise encounter (in some respects the challenge being more important to them than the cash aspects per se). Some have an interest in the acclaim from being able to fully execute the mother of all AI projects as proclaimed by Apple CEO Tim Cook


Some hope that achieving an autonomous car will democratize mobility freeing people to get around and revolutionize how our society functions. Some want the cash or possibly a mixture of the aforementioned loftier aspirations plus the money. The Equal Money Ways We Make Money From Cars The most obvious ways wherein everyone imagines that there’s profit reachable will be these traditional styles of modes:

• Selling autonomous cars

• Renting out autonomous cars

• Delivering via autonomous cars

• Ridesharing out autonomous cars

If you ponder those key modes it really doesn t look much different than today s world and contemporary conventional cars


You are able to make a profit by selling conventional cars. You are able to make a profit by renting out conventional cars though admittedly the car rental agencies are somewhat queasy a few way forward for driverless cars and the way that will mess with the renting of cars


There s also using cars to do deliveries consisting of the current craze of getting a taco and burrito delivered on your door in the dead of night which many are already experimenting with via using autonomous vehicles lesser than full-on cars to do this kind of simpler and more bounded act


You could maybe make money by ridesharing out conventional cars but the record to this point of Uber and Lyft doesn t give you any warm and fuzzies that a genuine profit is to be readily had (they are losing money hand-over-fist though some say that’s just the early part of the service life cycle when trying to grab market share and gain a faithful base so you would like to expect that sometimes you ought to spend money to ultimately afterward make money)


For ridesharing of conventional cars the difficulty of trying to eek out a profit involves each of the fees linked to the ridesharing arrangements. Pundits expect that when the human driver of the ridesharing car is excised from the deal which presumably will happen once autonomous cars are safe and available the main significant cost that has been a presumed major impediment toward profitability will be off-the-table (i


e. human driver labor). Smooth sailing afterward they assume. The thing is that we don t really know yet what the financial numbers will really look like. What is going to be the price of the AI system and its ongoing updates and maintenance? Will there have to be special style of insurance for driverless cars and the way costly will it be? And so on


Let s though put aside a similar old modes of creating wealth from a car whether it’s autonomous or not and use our thinking caps to locate other easy ways to make money from a car. Other Ways To Make Money From Cars I ll give you a clue about another likely significant as a result of make money via a car especially down-the-road in an era of driverless cars (that s a teaser a spoiler alert of what I m about to reveal!)


Recently ridesharing drivers were selling their eyeballs well using their eyeballs by contracting with real estate firms that are searching for houses to flip. If you are an Uber or Lyft driver you’re presumably roving around for hours on end hopefully with paying passengers on-board ordinarily and haven’t much else to do except drive the car


I realize that human drivers are meant to be fully aware of the roadway and traffic but I think we know that humans aren’t nearly that singularly focused when behind the wheel. So a ridesharing driver can easily keep their eyes peeled for any houses that look viable house flippers


Usually telltale signs are when a house looks like it is nearly semi-abandoned including that front lawn is disheveled there possibly posted signs warning that the property is in violation of homeowner s ordinances and so on. It s pretty easy for a ridesharing driver to be watchful for such houses


When they spot a possible house flipping candidate they either write down what they spotted or enter it right into a mobile app and they ve just completed a tidy extra task. Which includes the tidy extra task comes the potential of getting a tidy fee from the real estate firm seeking houses to be flipped


In brief differently to make money and doubtless make the most of a car will be to apply the car as a handy platform from which to traverse a native and find or detect something that others will be willing to pay to appreciate about. Fortunately autonomous cars are going with a view to aim this in spades escalating exponentially the potential to rove and scan it s in their bloodline one might say


Driverless Cars As Roving Golden Eyeballs Imagine that there are autonomous cars undertaking ridesharing. Some assert that that’s going to be a springboard towards ridesharing on a volume and scale that we will hardly conceive of. If that s the case there are going to be driverless cars roaming and roving everywhere taking human passengers to their destinations picking up human passengers that want a ride and otherwise trying to be in the right places at the right times


For purposes of being a driverless car the vehicle is full of sensors. The sensors include multiple cameras collecting visual video and pictures which are being interpreted by the AI to figure out where the road is where to expose whether pedestrians are nearby etc. Plus there are other sensors including likely radar ultrasonic units Lidar thermal devices audio listening devices and a cornucopia of comparable sensors


The mainstay at the beginning will be that those sensors are there for the purpose of driving the car. Don’t mess with the sensors or the onboard computer processors for anything besides making sure the autonomous car can safely get from point A to indicate B. I m betting that there will be some extra computational cycles available perhaps normally kept in reserve for situations of a decent or tough driving situation and yet otherwise can be used for other aspects if needed when viable to leverage


Why not have the AI seek for houses to be flipped? It might be relatively easy to do. The info pouring in from the cameras is already going to be undergoing analyses. You can either have the vision processing system tag the pictures of homes and in real-time be marking ones that may be house flippers or you can put aside for the moment the home flipper search and have that undertaken in additional idle moments


For driverless cars there will be idle moments as an instance when sitting at a red light. You and I likely daydream when at a red light but the computer processers on-board may well be performing some real work like rescanning images to locate those house flippers. Or maybe when the driverless car is getting charged-up at an EV charging station (most self-driving cars usually are EV s) during that idle time the processors may well be doing constructive acts which includes filtering the collected data for houses meeting the home flipping criteria


Let s kick this up a notch. Fleets of driverless cars will be likely uploading their individually collected data to the cloud database of the automaker or tech firm (or other). The uploaded data might already have been examined for houses to be flipped or this possibly a task undertaken once the info has been pushed up into the cloud (sparing the on-board AI systems this task)


The collective wisdom of hundreds or say thousands of driverless cars which have been whisking around towns and cities well it s a treasure trove of handy data. What Will The Eyed Data Be Used For Reflect onconsideration at the possibilities. You’re a local house painter and also you are searching for out which homes in the county want a paint job


Easy just consult a database of homes which have been seen by a fleet of driverless cars. You could search the database by where the home is when it was most recently seen and pull-up an image or two (or a video) that shows what it looks like. The AI can already pre-assess which homes have faded or peeling paint so that you don t ought to cull the list


This may well be tied to a different database of homeowner records and with the touch of a button you are able to be at the phone to the homeowner explaining how wonderful their house would look if painted in green. You could even text them a photoshopped version in their house with the colour changed


Right now we frequently check out a large database which includes the only maintained by Google trying to see what a house looks like. Those images are usually dated and there are only such a big amount of times that they could send out their handful of photo-taking cars to capture an area


With driverless cars assuming they’re already on a ridesharing quest this photo-taking or video-taking is part-and-parcel of what they’re already doing. No added cost in a fashion of speaking. That’s conceivable that via various easy ways to make money from the driverless car collected data it might motivate the autonomous car owner to maintain their self-driving car on-the-go even if there are not any paying passengers needing a ride


If the cash is sweet enough it possibly better to actually avoid taking rides since those passengers expect to get to their desired destination which will not be where your driverless car needs to visit collect money-making data. Downsides Of the Madcap Data Collecting The world isn’t accommodating to having only benefits and no costs or so it seems


Relating to the driverless car data collection once a specific neighbourhood has been scanned the question arises about what good does it do to potentially scan it again some hours later. In essence it can be that the info won t have quite the payoff invariably as possibly hoped for


Plus if one fleet has already done that neighbourhood and an additional fleet does so this will ratchet up competition when it comes to these collected databases meaning that there is just not as much profit as one would have if just one fleet had the golden goose and no others did


The privacy implications of this kind of vast and unending data collection may well be quite staggering once you take a seat and think about consideration on it. I’ve only mentioned the notion of scanning to locate houses but that’s perhaps obvious that the scanning of the pictures can seek for most more objects including humans in the images


Want to grasp where your spouse was yesterday? Log right into a cloud database of a fleet of driverless cars give it an image of your partner and let it find them reporting to you that the man was seen in front of the pancake restaurant then afterward seen at the local park then at the door of an apartment in downtown and so on



The main theme of this discussion was to consider easy ways to make money from autonomous cars beyond the apparent means that we do today with conventional cars. A key difference of conventional cars and driverless cars is which you ll have a whole suite of sensors collecting data wherever the self-driving car goes and the info may well be kept and analyzed on-board the driverless car or placed into the cloud and used there


This may well be done in a scale and in a fashion not feasible for what human drivers could do. There are probably money-making easy ways to leverage this that no person has yet envisioned and will emerge once self-driving cars become prevalent. Try to figure that out before everyone else does

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