2.
VCs act like businesspeople, even when they have a technical
background.
Engineers
who work with VCs for any length of time are inevitably frustrated
by what they see as the VCs' limited ability to understand
revolutionary technology. Combined with the VCs' strictly
bottom-line orientation, the result is an inability to accurately
access technological risk.
In fact,
it would be difficult to argue that VCs are ignorant of engineering
and other technical areas. A review of the backgrounds of
180 general partners at 20 leading VCs shows that 64 percent
of general partners have undergraduate engineering degrees
[see below table, "A Matter of Degrees"].
But 64 percent also have MBAs, while only 29 percent have
master's degrees in engineering or science. So by a wide margin,
it seems that the business training of the average general
partner exceeds his or her understanding of technology, and
that for the people who have both, the technical background
supports a business outlook, not the other way around.
As a
result, most VCs are more comfortable with business plans
that are logical extensions of existing technologies. They're
also good at conducting reams of due diligence. The typical
VC firm today has lots of junior associates who love poring
over market and growth projections and cash-flow forecasts.
VC investing
is all too often a mechanical process of reviewing business-school
checklists. The dearth of venture capitalists who can really
understand fundamental research and who eagerly talk to brilliant
researchers with exotic, extraordinary ideas is one of the
key challenges facing the industry. Unfortunately, the average
Ph.D. scientist or engineer knows little about business, and
in our experience, most VCs really don't want to talk to people
like that.
VCs do
have venture partners with technical backgrounds, whom they
can call on for due diligence advice. However, these people
are generally consulted only when a project gets past the
initial screening process. Many innovative technologies are
rejected well before then.
The case
of the physicist David Huber shows that while mainstream companies
can't recognize a good idea when they see it, neither can
venture capitalists. In the early 1990s, when he was with
General Instrument Corp. (now part of Motorola Inc.), Huber
developed some interesting technology for multiplexing different
wavelengths of light onto a single optical fiber. General
Instrument decided that the technology was "not strategic"
with regard to its business plans and gave Huber 18 months
to find a buyer for the group or be shut down. In the end,
the group did not shut down (partly due to our intervention),
and the company eventually went public. But it came perilously
close to extinction, reflecting the level of risk aversion
that prevails at most VC firms.
Huber's
start-up was Ciena Corp., of Linthicum, Md., which today is
a $300 million business, despite the collapse of the telecom
industry in 2001. The roster of A-list VCs who passed on the
company is embarrassingly long.
3.
VCs can't distinguish between smart and lucky.
The opposite
of the "nerdy Ph.D." is the "serial entrepreneur"; VCs hate
funding the former and love funding the latter. Serial entrepreneurs
write good business plans and assemble complete business teams.
There is a basic assumption that the serial entrepreneur is
smart rather than lucky. So, having a track record of exactly
one success, the same physicist who couldn't get funding for
Ciena (David Huber) got lots of money for his next company—Corvis
Corp. (now Broadwing Corp.), in Columbia, Md.
Being
in the right place at the right time does wonders for your
apparent intelligence, but the bankruptcy courts are filled
with entrepreneurs who made millions the first time, then
doubled down on Start-up B with loans secured by the assets
of Success A. By the way, investors who bought Corvis, Huber's
second company, at the IPO price of $11.8 billion have lost
over 90 percent on their investment.
Even
assuming that an entrepreneur is smart as well as lucky, serial
entrepreneurs—almost by definition—do logical extensions
of existing technologies. After all, it's smart to go with
what you know. So while Start-up B may be successful, it's
unlikely to be disruptive and therefore transformative. For
example, we gave Huber's first company, Ciena, a rating on
our innovation scale of 2, but Corvis, which develops long-haul
optical networking equipment, where there are many alternatives
already available, got a 3. The lightning rod of raw innovative
brilliance rarely strikes the same technologist twice.
Compounding
the focus on serial entrepreneurs is an overemphasis on parallel
investing. VCs love to invest in deals that are fashionable.
No one likes to invest in anything that seems daring. As a
result, we see lots of indistinguishable deals for whatever
is hot. For example, after the success of a few storage-networking
companies, notably EMC Corp., in Hopkinton, Mass., and Veritas
Software Corp., in Mountain View, Calif., more than 50 different
investment opportunities in different niches of the same field
were venture funded between 1998 and 2001.
The problem
with this groupthink is that fashionable companies, again
by definition, are going to be companies that are variations
on the same technology themes; they are, at best, evolutionary.
Arguably, if we want innovation, we need to replace serial
entrepreneurship and parallel thinking with a willingness
to judge a start-up on its merits, disregarding track records
and the hot idea du jour.