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by the automotive technician – a trained diagnostic tech with a roll-about computer and a dozen cable leads has been replaced by a cable attached to the network which can be plugged in to the socket under the dashboard – the computer complies the readings from sensors, applies analytics,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!
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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!"ReplyDelete
I 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.