Amazon: 670k Walmart: 220k
Assuming the ratio stays the same, when Amazon gets to Walmart level sales, it will need about 700k employees which is still 1/3 of Walmart's current employee count.
Self-driving vehicles will probably replace the need for most of these employees, however.
What am I missing?
Although I suspect a compressed air tank with enough capacity would be way too heavy for a drone to carry.
The power to weight ratio is the key issue. Also -- noise could be an issue too -- want to have quiet deliveries.
I'm thinking parcel cannon + small airbag bumpers and maybe a little parachute to slow decent at exactly the right time :)
Shit, with retarded patent system in US someone is already patenting this as you read my post.
I agree that the last-mile driver will stick around for a bit longer, but their number is relatively small.
For example: UPS owns 100k vehicles, worldwide[1].
In comparison, over 3 million people are employed by the transportation industry in the US alone[2].
[1] http://www.ups.com/content/us/en/about/facts/worldwide.html
This is misleading. All valuations are based on the discounted value of future cash flows. There are three variables at work here: today's cash flows, the growth rate of these cash flows and the discount rate. The market is simply saying that Amazon's growth prospects outweigh it relatively smaller size.
Edit:
The only point I'm trying to make is that an investor, when they exchange money for a stock, is placing a bet on a single outcome: future cash flows. Of course there are plenty of ways to get those cash flows, but I find that most people get caught up in details like employee headcount and fail to grasp the single most important factor: compound growth.
What I was criticizing was just using the ratio of present market cap and present headcount as a meaningful metric, when comparing companies with very different growth expectations. That effectively becomes a restatement of the different growth expectations: Amazon has the same market cap as Wal-Mart but its present size is smaller in almost any way you could count present size (sales, headcount, etc.).
Perhaps you meant 'emotional' or 'irrational' rather than 'speculative'.
What I meant was that much investment is speculative, and that speculative investing is not solely, or even mostly, based on a purely rational model e.g. one that is based on a prediction of future cash flows.
It is usually based on betting on the the future price of the asset, independent of fundamentals. Some of these approaches are more justifiable than others: market momentum, qualatiative prediction of the company's valuation trajectory, trendy but questionable financial metrics, sophist technical analysis etc.
This only holds under the assumption of rational expectations.
Under the more reasonable assumption of heterogeneous expectations, it becomes necessary to think about what the market on average expects (or, possibly, other functionals of the agent population if the assumption of competitive markets is violated); the more so the shorter your investment horizon.
See for example
[1] F. Allen, S. Morris, and H. S. Shin. Beauty contests and iterated expectations in asset markets. Review of Financial Studies, 19(3):161–177, 2006.
which shows the failure of the law of iterated expectations (which is used to establish your original assertion) for the average expectations operator.
You then have
[2] P. Bacchetta and E. Van Wincoop. Higher order expectations in asset pricing. Journal of Money, Credit and Banking, 40(5):837–866, 2008.
who derive a gap between price and fundamental value (understood as the NPV formula that would prevail without the interference of higher-order beliefs) in the presence of heterogeneous expectations.
And last but not least,
[3] M. Kurz and M. Motolese. Diverse beliefs and time variability of risk premia. Economic Theory, 47(2-3):293–335, 2011.
who generalize this from the asymmetric information frameworks used above, where expectations are coordinated by the public signal, to a symmetric information setting where it is the correlation of beliefs that coordinates expectations.
In the end, this is all building on Keynes's original intuition that if agents hold diverse beliefs about the future "the energies and skill of the professional investor and speculator are […] concerned, not with what an investment is really worth to a man who buys it ‘for keeps’, but with what the market will value it at."
So no, it is not necessarily the best strategy to only focus on NPV of cash flows. The shorter your time horizon, the more you depend on what "other people" expect too, whether you think them foolish or not.
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PS: Of course, if you believe that you have no predictive power w.r.t. what "Mr. Market" thinks (to borrow from Ben Graham's exasperated simile), then by all means your optimal strategy becomes to lengthen your horizon as far out as possible and concentrate only on NPV of cash flows, just as you said, in the spirit of value investing. I'm only pointing out that the optimality of this strategy hinges on both your investment horizon and your belief about your relative predictive powers w.r.t. "Mr. Market" and the fundamentals (leaving aside positive feedback loops or what Soros called "reflexivity" between price and fundamentals for now).
Individual agents are free to be irrational, biased, and heterogeneous. In fact, heterogeneity is required in nearly any model, otherwise no trades will occur.
Good point, although I didn't say they did. One can indeed view RE as a special case of heterogeneous expectations, and in fact that is essentially what I argue in a paper I am working on: That efficient markets are a region in the parameter space of more general market models, and that by traversing that parameter space one can generate different market outcomes. By way of illustration, take the public signal out of the above cited paper [1]. Without the coordination provided by the public signal the law of iterated expectations works again for the average expectations operator!
Regarding the source of heterogeneity, I don't agree with your citation of irrationality or biases. I am not an expert on behavioral economics but from what I understand, behavioral models seem very fragile to the insertion or presence of even a few rational agents, hence the need to erect "limits of arbitrage" by adding frictions, constraints, etc. It is possible to motivate heterogeneous expectations in a more robust way, see my reference [3] above and further references therein, for example. The basic idea is to generalize the economic system from ergodicity or even stationarity, so that heterogeneity is motivated epistemologically, rather than psychologically.
A rational investor knows how others value something and acts accordingly. What you described is one way to value something. If it was just you and me buying stocks, I would know how you act and get in front of your behavior to profit from it.
In finance you don't have to be the smartest person in the room to succeed, you just need to know the most about what everyone else is thinking.
For equity market cap value that the article and previous person are talking about? No.
It'll still be a lot less than Walmart since they don't have brick and mortar stores on a large scale and Amazon is very bullish on robotics.