I started writing this blog on robo-advisors in late 2015; I then got sidetracked. Because of the time-length involved, the subject matter also got sidetracked toward “robots taking jobs” midway through the blog. Anyway, here goes the verbal roller coaster…


Sturgeon’s Law: 90% of everything is [email protected]

Law of Computers: Garbage in = garbage out.

Common-sense: The extremely rare ability to think clearly and to be mentally free of cognitive biases and rigid belief systems.

Investing: Holding an asset for the longer-term and reaping profits from price gains or interest or dividends.

Job-robot: When a computer program or robot can take over a human’s job. Examples include much of the blue-collar factory work and mining and field work as well as typists, telephone operators, proof-readers, telemarketers, travel agents, bookkeepers, office assistants and even increasing numbers of new houses are pre-fabed by robots. Uber is starting to use robot drivers. The U.S. Air-force is now using robotic drones, the U.S. Navy has just released a drone warship on the open seas and NASA is currently producing a new human-like “Mars robot.” Japan is starting work on a new amusement park that will have no human employees, only robots. There is a good chance that the computer or hand held device that you are currently concentrating on was assembled by a robot; one robot making another. And now robots are coming after the professional jobs, even doctor’s jobs. If the job entails a process where “A + B = C” then this can work; think of a health problem where abdominal pain (A) plus black blood in the stool (B) equals a gastric ulcer (C). But is a computer really better than a living person? When was the last time that you got trapped in an endless and stupid telephone answering machine loop? And we recently learned that the Google driver-less car crashed into a public-transportation bus.

On February 17, 2017 Bill Gates pointed out a future potential problem that I had not thought of: “Robots do work, but they do not pay taxes.”

CHART: Robot jobs up; human jobs down (chart courtesy of Bank of America). There will be no stopping this.


The rise of robots… via a mid-December 2016 article from Bernstein Analysis. Going forward, more and more manufacturing jobs will be done by robots:



From THE WEEK, December 16, 2016: “U.S. manufacturers make more products than ever at cheaper cost, even though they shed 7-million jobs over the past 35 years. That’s because most of the lost workers have been replaced by robotic automation, not by offshoring.”

The following 2013 study indicates that robots will take about 47% of all U.S. jobs within the next 16 years.

robo study

I took this next snippet off of the Internet on June 1, 2016 (the same day that Nike announced that it is starting to use robots to make its shoes). It is from a press release and is supposed to be a good thing. It is a bit long but worth reading in order to get an idea of what is happening:

1 robot

And this next snippet was taken off of CNBC on June 22, 2016. In 2017, the European Commonwealth will be voting to put “kill switches” into robots so that they don’t eventually turn on their humans, which by the way, is physicist Stephen Hawking’s greatest fear for our future.


Headline from Business Insider on December 24, 2016 discussing comments from Dr. Angus Deaton to the Financial Times. He expects millions of jobs to disappear.


CNBC showing a Tweet from Mark Cuban on February 20, 2017:

robot cnbc

Also from Business Insider on January 2, 2017:


CNBC on January 9, 2017:


Snippet from Yahoo on December 22, 2016:


From CNBC on August 23, 2016:


It isn’t just robotic driver-less cars running into things. This is a July 13, 2016 news story:

robo 2

Okay, now back to the topic…

Robo-advisor: A computer program and website, created by a fallible and biased human programmer, that makes automated long-term investing decisions for investors. Robo-advisors currently “manage” around $60-billion as compared to the $20-TRILLION held at brokerage firms. Trust me on this: they are universally built on well known but faulty information, concepts and beliefs. As stated earlier in the blog, in most situations “A + B = C” but in investing it holds true that “A + B = ?” (as investors temporarily learned during the financial crash in 2008). Because people are in love with their computers and little mobile devices, these robo-advisor programs will continue to propagate as people rotate into them when conditions are good and easy for stocks and they will rotate out of them after they lose most of their hard earned money. Some will not like the prior sentence, but it is true. If you ask the wrong questions, you get the wrong answers; robo-advisors are built from the ground up by asking the wrong questions.

Investing: A process that is impossibly difficult for most investors (and therefore also difficult for computer investing programmers) to understand and implement.

Investing education: A self-taught process which takes countless hours over a period of decades and at an incredible cost (in losses) ending with a 90% chance of still not knowing anything because, as we saw above, “90% of everything is [email protected]” One must be tenacious in order to uncover the 10% that can actually make one wealthy.

Buy & Hold: What investors do when they cannot obtain an edge over investment markets, also known as “Buy & Hope.” Buy & Hold does not work because investor’s volatile emotions ultimately take over their investment accounts and because long-term diversification just for the sake of diversification does not work. (One must ONLY diversify into assets that are trending up in present time and for legitimate reasons!)


Based on Sturgeon’s Law, the likelihood of a human programmer being able to create a robust, hardy, viable and beneficial robo-advisor computer program where the investor does not lose their hard earned money? Again, according to Sturgeon’s Law, the answer is 10%.

Person most likely to succumb to a robo-advisor? Anyone that has fallen in love with, and refuses to look up from, his/her computer and selfie-generating phone-device. Last

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