Factory Automation Will Speed Forward with A.I., Says Bernstein
Bernstein Research’s Alberto Moel, who follows tech-industrial companies such as Corning (GLW) and AU Optronics (AUO), this afternoon offered up a thinks piece on robotics and factory automation, arguing that some of the costs of automation beyond the basic cost of the robot are about to get dramatically cheaper, thanks in large part to artificial intelligence akin to what Alphabet (GOOGL) and others are doing.
Moel notes that the basic components of factory robots are only falling by perhaps 6% per year, their cost reduction bounded by things such as casings and servomotors and reduction gears that don’t rapidly fall in cost.
But, writes Moel, the cost to install and adjust these machines on a factory floor is ten times their component cost and that stuff can be reduced more dramatically:
How much this integration costs varies widely. An often-cited rule of thumb is that a $50,000 robot will need $500,000 of integration costs before it is all said and done. Of course, these integration costs can be amortized over many robots, so perhaps a better estimate would be 3-5x the robot cost [...] But I do believe we are at an inflection pointthat will materially increase the capability of automation systems and substantially reduce programming, setup, and fixturing costs which are the largest cost element in most automation efforts. So instead of a measly 6% YoY cost reduction (Exhibit 1), we get 25-30% YoY declines, and automation Nirvana.
What will make that happen?
Moel opines that it’s partly the reduction in the “control” parts — chips — partly programming methods, and a lot of artificial intelligence and neural networks and forms of machine learning.
Moel, after an extended discussion of today’s machine learning, arrives at the conclusion that just as famed British computer scientists Alan Turing conceived of universal machines before the integrated circuit...MOREAlso at Tech Trader Daily:
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