The shakeup of Kleiner Perkins exposes the short comings of venture capital
gigaom.com
gigaom.com
It's a little sad that this even needs to be pointed out. VC's don't have either the money or the time to fund huge, capital-intensive projects. If you think about the really big projects going on right now, most are backed by the government or big public corporations. Google's self-driving cars. Tesla's electric cars,[1] Space X's low-cost launch vehicles,[2] etc.
The article mentions that VC works when Moore's law is in operation. Ironically, the actual operation of Moore's law at semi-conductor fabs isn't funded by VC, but massive capital investment from Intel, IBM, TSMC, etc. To put things into perspective: Intel's annual capital expenditures of $10-12 billion alone are roughly comparable to all VC investment in Silicon Valley combined (which is 40% of all VC investment in the U.S. as a whole).
[1] While Tesla paid off its federal loans early, it took $465 million for four years in order to build the factory that produces that Model S, arguably one of the most crucial turning points in the development of the company. Also, Tesla benefits enormously from the electric vehicle tax credit.
[2] Subsidized both by historical NASA research and NASA prepayments on launch contracts amounting to about half the money Space X has thus far raised.
Despite the fact that GE could invest in new technologies, they are not. The man promoted to the head of technology for power and water for GE instead joined us, for, he says, exactly this frustration.
Hopefully, this will be a possible thing for them to change -- or they are going to keep losing their best people.
Best of luck with the new technology!
Government can take on financing risk and regulatory risk. VCs only want the financing risk, any deck that involves a point "And then we're going to lobby the government to raise taxes on competitive industry and/or give us and our clients a tax break" is not likely to go well.
As you say VC isn't very good either, the state funds most innovation, industry commercializes it.
GPU computing, commodity clusters, mapreduce, almost all programming languages in the last 20 years, mobile computing, all came from industry.
I don't even know what it means to invent "commodity clusters" or "mobile computing".
That leaves "commodity clusters" or "mobile computing".
Are these things to vague to be classified as inventions, as you imply? I think they are not. The founders of Google came up with the idea of using a large cluster of relatively unreliable servers, which was optimized to deal with machine failure. Other people then followed suit. Similarly there were several big steps (e.g. the iPhone) in putting a much larger amount of computational power into mobile devices than had previously been done.
In fact, your idea that innovation must come in discrete inventions, is a limitation that is typical of academia. In academia, you are asked to show how your work is qualitatively novel and interesting. In industry, objective improvements are adopted no matter how mundane or incremental the change is.
I seriously doubt the concept of map-reduce or using GPUs for computation was created by industry, although it was probably popularized there.
Computing on clusters whose components may fail was not invented by Google; perhaps they made it good. Industry did not come up with the idea of mobile computers even if they made improvements that made widespread use possible.
We can quibble over what words should be used to describe incremental improvement and sui generis invention but it's clear that they are different and the latter comes predominantly from state sponsorship.
KPCB very nearly owned the lion's share of Tesla, and missed out due to a mere $20MM in delta in valuation (VantagePoint offered $70MM, Kleiner offered $20MM). They then missed out again simply because of political struggles meant John Doerr couldn't take a board seat.
They were less than a board seat or $20MM in conviction away from being proven right -- now everyone thinks they are proven wrong. Just goes to show you the risks in the game.
This article came out a day after this one, which is more in-depth about all the problems they have faced.
http://pando.com/2013/12/11/john-doerrs-last-stand-can-a-dra...
Like I said, politics. I don't know the scoop.
Even Tesla barely made it.
If VCs were able to see today's distribution of cleantech returns without seeing exactly who the winners and losers were I doubt they would have allocated nearly as much capital to that industry as they did.
So yes, high risk, high reward. But that means sometimes you get stuffed and in general those who invested heavily in cleantech got stuffed.
VC in general has poor returns for funds outside of the top 10 or 20.
Putting aside the specific example of computer hardware it is clear that industry and sector macro trends exist: Consider the DotCom boom when tech VCs made superlative returns.
Yes. Cleantech was bad for Kleiner Perkins and a lot of other VCs that bet on it. But it also didn't work out for large companies, governments or research groups investing in it either.
Many of the arguments made here could equally well be applied to life sciences, but life science and biotech VCs have seen reasonable returns in investments and their LPs are often large pharma companies.
Also the author seems to be clueless as to the fact Moore’s Law is nothing to do with the speed of company growth but rather to do with the performance of computing power.
While their might be certain products that require an investment structure that VCs can't provide, this article fails to make any kind of coherent argument for it.
It will be interesting to see how the stars of the digital age respond. We already have Google investing in various technology initiatives outside of the mainstream software and networking area. But what will Amazon and Twitter and Facebook do? Will one of them invest in solar breakthroughs? Or high speed rail?
The story is not yet over.
I don't disagree with you.
I think the VCs are also a victim of mindshare. To me, that's the most likely explanation as to why they erred as much as they did.