When
talking with a person in transition he said: While I was working,
the world changed! Even before
the recession this was too often the case – a shocking discovery
for far too many people.
Moore's
Law predicts processing speed of chips will double every 18
months, as a result the cost per computation drops by a similar
factor – many say cost drops by 50% during the same timeframe.
As
processors change, software and systems take advantage of the speed
and new capacity to build faster, more complex tools to do more work
faster (transaction processing) or to improve video quality and
delivery on computer screens and digital cameras (e.g., HD, 3D,
Streaming).
In
addition to changes in hardware, software, and systems, we have also
seen the introduction of new instruments as well – smartphones,
tablets, on-board automotive processors (for engine performance,
accident avoidance).
The
point is: the technology (how the instruments, tools, and equipment
are applied) is evolving to replace repetitive and predictable manual
tasks. As a result the collecting and compiling functions of
technicians, operators, and analysts are being replaced by the
changing technology. The effect of technological changes is
illustrated by the automotive technician – a trained diagnostic
tech with a roll-about computer and a dozen cable leads has been
replaced by a cable attached to the network which can be plugged in
to the socket under the dashboard – the computer complies the
readings from sensors, applies analytics, and issues a report for the
mechanic (and the car owner) on the findings and remedial actions
required or recommended. No diagnostic tech is needed.
As
more information and data is entered on-line, software and systems
are used to collect responses, compile results, and do comparative
analysis. Such tasks are disappearing from position responsibilities
for employees.
The
Bureau
of Labor Statistics reported in January 2010 the average tenure
in a private sector job is 4.0 years. During this timeframe,
computing speed has doubled twice
and the new chips have been incorporated into software, systems, and
new instruments. A job changer will face the challenge of obsolete
positions and skills, as well as the need for proficiency in using
the new tools, systems, and instruments – a diagnostic tech may be
able to trade down to
get his old position with a less advanced shop, but will need
additional skills to get a better position.
The
Doers
need to add
to their skills to remain viable in the labor market and with
their current employer. When changing jobs internally, new
knowledge, skills, and experience play a strong role in winning the
appointment – just as they do on the outside when applying to a new
employer. If contemplating launching your own firm, old skills and
experience with outdated technology will find a narrow and shrinking
market – the exception to this was the Y2K phenomenon in the late '90's, where the COBAL programmers were desperately needed to modify
enterprise systems. Keeping up with advances in the application of
relevant technology is an important goal for us all.
The Doer's Theorem
is you must add to your
skill-set and expand your experience portfolio about every three
years to remain viable in the labor market.
Prior
experience, skills, and knowledge are the firm foundation on which to
reinvent yourself, but change is coming too fast to rely just on the
old favorites and a stagnant learning philosophy.
Successful
Doers might say: While I was changing, the world did too!
Comments
and contributions?
Join us -
February
22nd Sales
Lab’s Rainmaker 12
is WhatHave I Done for You Lately? at
the Capital
Technology Management Hub on
Wednesday, February 22nd.
The featured CTMH speaker will be Sean
Crowley on
the topic of The
Open
Source Web Content Management
Platform, Drupal, and its Momentum.
St. Bumpersticker says, "If you think education is expensive, try ignorance!"
ReplyDeleteI like the way you've quantified the investment required. Better than the scolds who just say, "Not enough! Never enough!"
My old rule of thumb was An IDE (programmer's seat of power) costs about as much as a car and lasts about as long.
That was before open source.