Why were initially introduced to the workplace to free

Why It’s Necessary to
Future Proof Employment

Despite public talks about increasing manufacturing and
labor jobs, elected officials are misleading the public and avoiding the hard
truths of the elimination of employees due to advances in technology where
human functions are replaced by automation. Workplace technology has
miraculously expanded from software and robotics to include artificial
intelligence such as machine learning. While software and robotics were
initially introduced to the workplace to free employees up for more important
tasks requiring complex problem solving, artificial intelligence is developing
to replace those critical analytic job functions.

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Technology Dependence

A large population of workers spend most of the day
leveraging technology using computers, tablets, and smartphones and would be
lost if it disappeared from the workplace. We can hardly recall daily life before
technology converted the hard and tedious efforts to fast and easy. There is no
way to degrade machines and software in our job functions, only leaving the
option for them to increase as vital organizational tools.

History of Software

It’s safe to say most people aren’t aware that software was
invented before hardware and evolved very quickly after the development of
computers – exploding when individuals gained the ability to own personal
computers (PCs). This facilitated a huge turning point in employment
development from the implementation of software engineering careers to hiring
team members to train employees on maximizing the benefits of it. Software
programming is so advanced these days that applications or apps (which are
condensed versions of software) are almost the default user experience.

Benefits of Robotics

The implementation of robotics in the workplace was intended
to protect workers by having machines perform duties that endanger employee’s
physical health. Created in 1956, workplace robotics initially began with
simple, but hazardous tasks such as spot welding and the success gained from them
carrying out these functions led to the development of labor robots. Though not
yet sophisticated enough to work along-side humans, organizations benefit from
not only using them to fulfill roles that would be dangerous to team members
but also to execute repetitive and intense tasks quickly and dependably. (http://smallbusiness.chron.com/robots-used-workplace-12994.html)

Recent Advances

In our current workplace environments, we’re utilizing
several computer-based and cloud tools to store and analyze data. The innovative
idea of using graphics technology to speed up processing functions has evolved
to the point that together, accelerated graphics processors and central
processing units (CPUs or the brains of a PC), catapults software into a hyper
processing mode. This enables programmers to code software that processes unimaginable
amounts and types of data simultaneously. The integration of graphics
processing units (GPUs) into software engineering is the basis for artificial


Once the burgeoning concept of artificial intelligence was
introduced to the public as a reality, Stanford University explained it as, the
process of creating intelligent programs closely related to that of leveraging
computers to disseminate human intelligence without limiting AI to strategies
that we readily observe in human behavior. (http://www-formal.stanford.edu/jmc/whatisai/).
In many cases, artificial intelligence is replacing repeatable tasks while machine
learning is replacing certain aspects of management and decision-making

Machine Learning

Through progress in artificial intelligence, researchers
sought to discover if computers could learn from processing data. Adaptation
independent of human interaction takes place in machine learning through
programmed algorithms that rely on previous computations to produce data
learning systems. It’s a science that has gained momentum whereas organizations
can now operate more efficiently and secure the competitive advantage in their
chosen industry. Machines are now outperforming human learning at phenomenal
rates and can provide reliable and consistent answers to complex organizational

Predictive Analytics

Financially lucrative and robust organizations are the first
to rely on predictive analytics to figure out their operational future by detecting
relationships and patterns in both arranged and disorganized data. The
modernized artificial intelligence used in today’s companies is quickly satisfying
required functions on the job where making predictions in hiring decisions,
revenue projections, team capacity, and employee behaviors are concerned.
Predictive analytics is the root cause of rapid decreases in higher paying jobs
in ordinary industries such as finance, healthcare, marketing, and more.

Employment Statistics

Forbes asserts in an article entitled, How Artificial
Intelligence Will Impact Jobs, that more than 40% of positions filled by
employees will be absorbed by machinery by the year 2037. The article further establishes
that about 20% of Americans are aware that they won’t be able to maintain their
lifestyle and livelihood once machines have taken their jobs. (https://www.forbes.com/sites/haroldstark/2017/04/28/as-robots-rise-how-artificial-intelligence-will-impact-jobs/#23144d937687).
Reliable information is steadily published that clearly informs us that
workplaces driven by human effort is becoming outdated as jobs are giving way
to technology. We’re facing a future where less than 50% of jobs available now
will not exist in roughly 20 years and that alone should be a significant indicator
for organizations to act sooner than later.

Job Evidencing

As we see, most jobs (beyond manufacturing and labor
industries) are vulnerable to being replaced by advances in technology. It’s up
to organizations to revisit their human resource strategies and decide the best
way to transition employees into future positions once they are forced to
replace them for the sake of financially sustaining in the economic market. Team
members who are willing to embrace and participate in workplace changes through
problem-solving are the ones likely to survive the movement to computer-driven

The Future

Before the understanding of machine labor results in human
resources and other operations managers expecting a doomsday outcome, we must
remember that the world is comprised of humans and that society cannot function
without us. It’s time for employers to begin strategizing on how to retain the
human workforce by diligently maximizing the potential of those already on the
payroll and by generating new job roles based on emerging needs. The future of
employment depends on forward-thinking shifting from hiring people to do an
existing or evolving job to hiring people who possess the fortitude to succeed
in new jobs created when computers replace them.



Advancements in technology threaten to eliminate enough
workforce positions that employers need to future proof jobs by understanding
the technology revolution and how it affects employment.


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