A Coming Workforce Transformation

Career prospects for women during the economy of the past couple of years show significant disillusionment. By the end of 2020, 140,000 jobs in the U.S. which had been held by women were lost in female-dominant industries like education, hospitality, and retail according to Business Insider. The National Women’s Law Center reported in 2021 that about two-thirds of all minimum wage jobs are held by women. Unemployment rates remain high for women of color and women with disabilities. 

The past years have also not been encouraging for professional women seeking to secure leadership positions, particularly in highly capitalized businesses. Julia Boorstin of CNBC reported in 2020 that of the 500 largest American companies only 6% of CEOs were women. Not only that, but there is this occurrence of women being placed in CEO positions of troubled companies struggling to hang on. The phenomenon is known as the “Glass Cliff” problem. If the ship cannot be quickly righted to profitability, then it can be easier for some to say how a woman was given a chance to show leadership, but it just did not work out. 

McKinsey reveals another stunning circumstance. The proportion of women in jobs declines as the amount of responsibility embedded within these jobs increases. Women make up 50.8% of the American population, but account for 47% of entry-level positions, 38% of management assignments, and 33% of senior management occupations. For every 100 men who move into management roles, there are 85 women who do so. 

The history of women in the workforce facing discrimination, unequal pay, and harassment in one form or another is a painfully long one. However, there are some other statistics which curiously suggest more positive changes may be coming for women in the workforce. 

The writer David French points to some recent education stats showing men are slipping in acquiring the schooling necessary to stay highly qualified and competitive for the good jobs, and for leadership roles particularly. For example, at the end of the 2020-2021 college academic year women comprised 59.5% of the overall student body, the highest ever, and men only 40.5%. This data is from the National Student Clearinghouse, a nonprofit research group. 

Furthermore, the 2020-2021 school year showed a decline of 1.5 million students relative to five years earlier. 71% of that drop was in men leaving U.S. colleges and universities! For a reason I cannot explain, men’s attendance has fallen such that they have become a minority cohort in higher education. Can a drop in men’s career prospects relative to women, including in leadership, be far behind? 

One does not have to look far to notice an unmistakable correlation between levels of education and career success. Acquisition of knowledge, skill, experience, contacts, and confidence are all derived from furthering one’s education. The U.S. Bureau of Labor Statistics most recent data concerning earnings and unemployment rates by educational attainment show median weekly earnings for those holding only a high school diploma to be $781, but with an unemployment rate of 9%. The bachelor’s degree college graduate in comparison earns on average $1305 per week with an unemployment rate of 5.5%. 

To be sure, the traditional four-year college degree program model is under serious review, as it should be, by those who foot the high cost. More targeted and lower cost education and credentialing options are providing increasing competition to legacy college and university programs. That’s fine. But if men think the good jobs and leadership positions will always be waiting for them as in the past, while women are actively preparing to compete and hold those occupations for themselves at rates superior to males, then men may be in for a rude awakening soon. 

As women gain more of the good jobs and leadership roles, they are likely to open more doors for other women to participate more fully in quality education and work opportunities. As education attainment shifts more to women, so too will their employment and leadership strength. 

Ten Briefs III

Provocations

All Drunks are skid row bums living in donated tents under bridges.

All Trump supporters are racist backwoods rednecks.

All Techies are self-obsessed nerds with no social skills.

All Lefties are self-righteous, insular, uncompromising prigs.

All Children are whiny, self-interested, unsophisticated brats.

All Pro-gun nuts are fearful, paranoid, faux courageous extremists.

All People of color are lazy and unreliable and always looking for a hand out.

All Whites are privileged, wealth hoarding, power hungry aristocratic wannabies.

All Christians are holier-than-though, intolerant, nationalist, white supremacists.

All Suburbanites are socialist sympathizing and corporate consuming phonies.

All Democrats are bleeding heart, atheistic, pie-in-the-sky spendthrifts.

All Republicans are cheap, selfish, cold-hearted, hidebound fuddy-duddies.

All Poets are naval gazing egotists who believe other people care what they think.

 

Soul Energy

My cursory study of

quantum mechanics

has hit a snag.

It seems to me

rightly or wrongly

that all matter is really

just energy.

All there is

is energy

behaving in different ways.

Energy behaves.

Now what? I ask.

Science is leaving me

stranded in a cul-de-sac.

Then I think, well,

what about

the energy which is

in all of us humans?

The energy giving us life.

The energy that existed

before we were born and

will exist after we die.

Soul energy.

Our soul is the eternal energy

expressing itself in each of us

individually.

Something to ponder for a while

I think.

 

Bread and Butter

He wore the same

baker whites as my father.

An old, kind, quiet man,

who took an interest in me.

I, a small boy.

He, a kitchen worker.

The slices of white bread

were toasted a light brown.

With the broad knife

he scooped a generous portion

of butter from the crock.

A quick spread, evenly distributed,

and placed before me.

The toast tasted delicious!

I am mystified

why such a memory

of a mundane moment

has stayed with me

for so very long.

It was nothing special,

just a warm, pleasant, and caring

experience.

That is all it was.

I guess, that is all it needed to be.

 

Where Is She?

It has been 36 years

since she implanted herself

outside of the uterus.

The growing union of cells

survived for some days and weeks.

How many is unknown.

Her destiny was to not be.

Her presence became a danger.

Her life force needed to be

snuffed out in order to

save her mother.

Her soul

as rich as anyone’s

needed to find a new

cluster of cells

in which to flourish.

I want to believe

she found it

and is living

a thriving life.

Excuse me

while I cry.

 

Mortality Dream

It happened again last night.

I awoke

gently

at about 3:00am.

I recognized the feeling.

I have felt it before.

More and more frequently

in recent months and years.

The dream that awakened me

has no memorable content

or occurrences.

Only a theme.

My life is coming to an end.

Not imminently,

or so I think

and hope.

But my advanced age,

my eventual demise,

occupies a more prominent

position in consciousness,

both when awake

and asleep.

I felt no fear.

Only sadness.

By 5:00am

I crawled back into bed.

She, in her sleep, reached over to

touch me.

At that moment

I felt blessed and

returned to sleep.

 

Angst

We begin with the angst of childhood

Being concerned about being loved.

Then comes the angst of adolescence

Do I have enough friends?

The angst of young adulthood is weightier still

I must measure up to what a normal adult is. I must.

Oh, the angst of middle age

So much to hold together — marriage, finances, work, kids!

Late career angst can also bite

Planning a well-earned retirement in Shangri-La requires a lot of fantasy.

To live long enough for post-employment angst

Making that fixed income last while sliding toward senility and decline.

And finally — the simple angst of end of life

Being concerned about being loved.

 

Prints in the Snow

The snowfall was heavy.

The cold was deep.

 

From the window I saw

the blanket of blanco

lay soft, firm, and virgin.

 

As days passed

the snow became speckled

with small disparate prints.

 

They would appear in

morning.

Made during the frigid

night.

Noticed by me throughout the

day.

 

Why, I wonder, are they expending energy

by moving about

on this patch of frozen landscape?

 

Who made them?

Squirrels, deer, fox,

a lone turkey separated from its rafter,

or the elusive fisher,

whose screams we have heard at night

like a lost freighted child calling out for help.

 

Protected and comfortable

in my woodstove-heated home

I try not to anthropomorphize

their plight.

 

But I do anyway.

 

God Will Save Me

(Remembrance of a story once told.)

Come away from the edge!

You could fall into the water!

 

Not to worry.

I am religious.

God will save me.

 

The boat lurched starboard and in he fell.

Here! Grab this life ring!

 

Not to worry.

I am religious.

God will save me.

 

A rescue boat appeared along side him.

We have come to save you!

 

Not to worry.

I am religious.

God will save me.

 

He went under.

Lungs filled with water.

He drowned.

 

At the Pearly Gates he approached God.

I have long worshipped you!

Why did you not save me?

 

God looked down upon him kindly.

I gave you ears for listening to others.

I gave you fingers for grasping onto helping hands.

I gave you a mind for reasoning.

The question should be,

Why did you not use your God-given gifts?

 

Uppers and Downers

Homeostasis is so

elusive.

Like a statistical norm it

exists in ether

not in our real lives.

 

Energy can be difficult

to direct.

Its simple options are

to go up or

to go down.

 

Like a constant

calibration.

Turn energy up or

turn energy down.

This way or that way.

 

Reach for the upper

to be productive

to feel exuberance

to practice acuteness

to enjoy wakefulness.

 

Reach for the downer

to relax

to be reflective

to go adrift

to smell life.

 

Equilibrium,

Sustainability,

Balance,

Perseverance,

Homeostasis,

is the ultimate goal.

 

The Old Family Photos

With hesitant

but expectant

fingers

he opens the old photo

albums.

To even hold

these collections

is stepping back

to distant times

long gone,

but residing still

in presents past.

 

His emotions are

mixed.

Warmth, sadness, and

subdued happiness.

A stark reminder

of gifts he had

been given

and squandered

by being less

than he should

have been.

 

Love and regret,

grateful and apologetic.

Reminded of Thoreau,

“The mass of men live lives

of quiet desperation.”

Unfortunately,

he joined the family

of these men.

Such a turn of events

for a rich life

endowed with beautiful

children and wife.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Career Advancement and the Management Myth

An odd convention has fixed itself into the career psyche. It involves widespread practice that when a worker has demonstrated specialized competency and efficiency over a period of time, then the next step in that person’s career must naturally be an elevation to a management position. A causation is assumed linking proficient performance with an ability to lead direct reports. 

This assumption may be oversold, resulting in the selection of many managers who find themselves unhappy and detached from what they do best. 

Surely, there are many cases when a stellar individual contributor turns out to be an excellent manager of workers who does what they once did. As managers, they know intimately the challenges their subordinates face and having been skilled in addressing them formerly they can guide teams with heightened awareness and credibility. A once knowledgeable and experienced provider, who is also an inspiring leader, is a great combination indeed. 

Unfortunately, there are times when the “advancement” of a well-versed individual contributor to management is misplaced. During these pandemic times, it is no secret that many workers are reassessing their roles. This includes managers. It is not uncommon for some managers to feel a nostalgia for work that was more purposeful and fulfilling compared to being supervisory. They remember the satisfaction they felt at being an excellent contributor, and with reflection, may realize they like that better than being a boss. 

However, we are ingrained to think hierarchal. Once we have moved up, it is considered a disgrace to move back down. What will people think if I give up this management post and return to a job I once had? That will be seen as a demotion, right?  

Thoughts like these would discourage many managers from reversing course. If the future of one’s career is a choice between continuing in a less than satisfying management role or risking possible shame by returning to a former position, then one is very likely to feel stuck. This is not a good place to be. 

One thing helping with such a conundrum is the fresh post-pandemic attitude allowing for workers to search for more meaning in their work. Just as there is now more evidence of hiring managers being more accepting of job-hopping over the past two years when they look at resumes, there may now be greater acknowledgment of managers leaving to search for greener pastures. 

Reframing your traditional ideas about hierarchy may also help. Get out ahead of any perceived criticism or doubt from others by publicly admitting that returning to a role, which again makes possible more autonomy and the practice of mastery, is a better fit for yourself than management. It is possible to state that your career and the organization can both profit from such a move. This can be communicated in a way which is both believable and face-saving. 

Leadership, as well, can be viewed with old-fashioned limitations. Management jobs need not be the only way to lead. An individual contributor who trains and mentors colleagues through sharing of expertise and proven methodologies can have a greater leadership impact than someone who is overly consumed with analyzing productivity metrics of direct reports. By claiming you prefer to lead more by guidance and coaching than the old management job allowed for, it can help to substantiate your re-entry move. 

Then there is the possibility of retaining your management position on the hierarchy by proposing a new strategic venture that better incorporates both your individual contributor and management values. From your perch within the organization, you may be able to see more creative ways of approaching potential opportunities, which call for just the right fusion of skills you can provide. 

Greater agility does not just benefit organizations, it enhances careers as well. If you are questioning your contributions due to limitations placed on you by being a manager, the time may be right for a change. 

Career Adaptability in a Time of Economic Resilience

As a people, we habitually want to return to normal after a sudden disruption. To seek stable ground after a storm is what we are hard-wired to do. The pent-up desire to reclaim regularity throughout this pandemic is palpable. We want so much to snap back to a 2019-era lifestyle that it may be hindering our capacity to plan for what increasingly looks like an uncertain future. 

A combination of Covid’s aversion to disappearing and more general workforce changes promote doubtfulness in the minds of many about future economic, and by extension, career directions. Questions as basic as, will my job be permanently home-based and remote, or will my job, which is centered on being face-to-face with many people, forever now to be risky? These are existential questions. 

Career resilience, or the ability to navigate one’s professional life through the turbulent vicissitudes of the 21st century employment environment, is not a new topic. Remaining nimble and adept enough to reapply one’s skillset to changing situations has been advised by career professionals for years now. Of course, such advice has most often been given in the context of technological automation and cross-market globalization. 

The unsettled world of Covid, however, only adds to the urgency. Emerging variants of the virus and the patchwork way nations and regions respond to the emergency leaves Covid-fatigued people feeling discouraged that we can get past this anytime soon. Optimism rises and fades like the graphs of infection rates. As far and as wide as we can see, the economy is being buffeted by winds of Covid-generated incertitude. Career resilience becomes but a subset to the larger challenging phenomenon of economic resilience. 

The National Association of Counties identifies economic resilience as, “a community’s ability to foresee, adapt to, and leverage changing conditions to their advantage”. The U.S. Department of Commerce is more blunt in its description. Commerce questions an entity’s proficiency to endure and to rally from a severe disruption, and its ability to avoid crises in the first place. The take-away inference is that acceptance of the proverbial new normal and requisite mitigation planning is to be standard operation. 

The interests of non-entrepreneurial workers are served when employees understand the sustainability planning and related past practices of the employers for whom they work or want to work. If an employer is overly relying on luck to get them through or is in denial about change occurring, these should be warning signs. Do not let the miscalculations of others derail your career. 

What we want to see instead are signs of employers envisioning and assessing risks to their markets and assets. These are sometimes known as steady-state actions. From there they should be prepared to deploy a response strategy when crisis strikes.  

Included in this overall approach can be interventions such as sustainability budget planning; diversification efforts to reduce exposure to high risk sectors; gardening of workforces which will ride out disruptions and not quickly bail; alignments with business, government, and educational resources to keep forecasting and preparedness skills sharp and ready; and agile management capable of shifting available talent to meet unexpected needs effectively. 

Continuity planning for an organization or an individual share certain processes. Key among them is to know the weak areas. Where are the shortcomings? How can they be managed or strengthened? Which metrics apply to indicate success is being achieved? 

Another key process is in knowing the threat indicators early on. Take advantage of utilizing a natural or trained inclination to be preventative and farsighted. 

Above all, establish systems, procedures, and habits, which have resiliency built into them. Facing turmoil requires a degree of fortitude. Until Covid is somehow controlled worldwide the economic and career challenges related to the virus will continue. Confronting the menace clear-eyed and purposeful is a potent response. 

An Artificial Intelligence Appraisal

A seminal event in the development of machine learning occurred over a two-month period during the summer of 1956—about a half-hour drive from where I am now writing—at Dartmouth College in Hanover, New Hampshire. The year before, an Assistant Professor of Mathematics at Dartmouth, John McCarthy, generated the idea of compiling an eclectic group of talent who were to be tasked with conducting an original type of prognostication in an area so new that he needed a fresh term to describe it. Professor McCarthy coined a label for his proposed conference’s topic…Artificial Intelligence.

Although a decade before Gordon E. Moore of Intel prophetically surmised the doubling of transistors on a given unit of space could occur every two years, known over the years as Moore’s Law, by the 1950s it was becoming clear that the rate of electronic functionality and efficiency was improving exponentially. Given this background, John McCarthy set out to investigate the potential of this trend by bringing together an interdisciplinary potpourri of researchers from fields as diverse as cognitive science, electrical engineering, communications, neuroscience, information theory, psychology, mathematics, and computer science. Their mission for what became the Dartmouth Summer Research Project on Artificial Intelligence can best be summarized by the following sentence extracted from Professor McCarthy’s 1955 conference funding proposal: The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.” Such was the launch of one of the most revolutionary movements of our time.

Artificial Intelligence, or AI as it has become commonly known, is simply intelligence displayed by machines. Beyond this terse definition nothing about AI is simple. Nor is it docile. AI is already shaping our world in ways never before seen. We now live with tools such as search engines, robotic automation, virtual product recommendations, and data-driven medical diagnostics to name just a few of the innovations unheard of by most people only a generation or two ago. And on the horizon? Self-driving cars, self-learning cybersecurity systems, robotic assistants for the elderly, and tailored genomic medicines merely begin the dazzling list of inventions coming our way. AI has already demonstrated potential for disrupting and altering the way we live our lives and we are just getting started.

The volatile and variable nature of AI agency prompts me to examine this phenomenon in some detail and with some urgency. At present, AI portends to be either a source of life enhancing opportunities or a basis for grievous intrusions and dislocations that could threaten our way of life. Its strength may deliver possibilities or burdens. Given this potency it is incumbent upon us to fully and intentionally participate in examining, monitoring, and directing the course of AI development. It’s not as if this phenomenon is some act of God beyond our control. It is manmade. Therefore, we need to ask ourselves, are we going to steer AI advancement or is AI going to drive us?

I approach this inquiry as a lay person. I have no significant education or experience in subject matter related to AI or machine learning, including mathematics, computer science, robotics, cognitive modeling, information theory, data science, or any of the other sub-disciplines that go into the structure of AI. I am just a John Q. Citizen who is interested in technological change and what adaptations it can bring to individuals and society. Counter-intuitively, my non-technical background highly qualifies me to look into the possible ramifications of AI. And I should not be alone in doing so. When science becomes so abstract that average people simply resign themselves to letting the smarty-pants of the world make the profound decisions of how we are to live our lives, then we have a problem. I think it best to welcome the benefits AI can bring to us, while maintaining skepticism and a wary eye about its possible perils.

It is tempting to think that AI will display its power largely as a source of new products and services for the universe of consumers always eager to be swept away by the newest shiny object. Technological innovations often reveal new and improved ways of completing common tasks. Undoubtedly, expanded capacities will emerge allowing consumers to benefit from a myriad of novel ways to perform daily life functions. However, AI will manifest itself broadly by transforming employment and by extension how we live our day-to-day lives. This historic interchange between employment and how we structure our lives appears to be on the verge of a mammoth AI metamorphosis.

For better and for worse we have been at a similar economic and social crossroads before. It may be useful to consider what transformations the last great such revolution yielded as we ponder how to best be prepared for the AI insurgency. Two hallmarks of the seventeenth and eighteenth centuries in Europe were the rise of the Scientific Revolution and the Enlightenment. The Scientific Revolution ushered in new ways of comprehending the essence of natural materials and phenomena, which resulted from a newly developed thought process, inductive reasoning, while the Enlightenment encompassed a multitude of ideas leading to individual empowerment and the pursuit of just government. Together the Scientific Revolution and the Enlightenment set the stage for the Industrial Revolution.

Much of the world we know is the way it is because of the Industrial Revolution. Starting in England, where modern science largely took hold, and spreading quickly to many places across the globe, economies transitioned from homebased craft and agrarian work to factory-based machine production. This conversion led to many benefits such as more affordable and plentiful life enhancing goods and services, effective means of transportation, labor saving devices, and medical advances. For many non-aristocrats, wealth generation became possible and the rise in specialty professions developed. But these gains came with costs. The rapid migration of rural folk into industrialized cities, which were ill equipped to handle the influx, created inadequate, overcrowded, and disease-ridden housing. Increases in pollution, environmental degradation, and dangerous working conditions were also consequences. The lesson we can take from the historical shift of muscle to machine is that great advantages can and probably will come from fundamental economic pattern volatility, but these boons have great potential for trailing along a load of detriments and handicaps.

The Industrial Revolution impacted whole societies by changing how people lived. It ushered in an era of mass production and mass consumerism. Commensurate with this shift arose large corporate businesses, labor unions, immigration, government regulation, rural vs. urban issues, broad-based taxing, higher education, and improved widespread communications. Scientific progress introduced professional expertise in the form of rational problem solvers with job titles such as engineer, manager, and accountant.

The new AI revolution will likely rock the world similarly. When considering the scope and scale of such monumental change it can seem like it is beyond being managed. It can appear like a runaway train. Therefore, it may be helpful to view this latest grand social transition as primarily an economic one. Economics implies that what is underway is determined by people. Economics is a social science that simply cares about the production, distribution, and consumption of goods and services. Economics is not controlled by external forces of nature or acts of God. We are not trying to control a competing power. Rather we are trying to control ourselves. Choice and decision making among people is involved in executing economics and it should also be entailed in how we face the rollout of AI.

Fortunately, in regards to human agency and control, a crucial difference between the economics of the AI revolution versus the Industrial Revolution involves centralization or incorporation. The Industrial Revolution engendered a corporate approach to group organization. Large collections of people amassed with a common purpose and legal authority to execute objectives, such as transacting business under a single name. Institutionalization became a widespread structuring principle across business, government, and society in general. People found that in order to benefit from this economic order they had to adopt and adjust to these institutional systems, including their rules, their schedules, and their cultures. Depersonalization and objectification ensued.

However, the novel technology and information world order we are now experiencing is by nature more networked and distributed and less concentrated. Therefore, it should be possible for individuals to exercise more control over their engagements, even if this means diluting somewhat the power of institutions. New grassroots organizing constructs based on ad hoc resiliency that combine global talent as needed has empowerment potential for people. Fitting AI into this type of schema, whereby individuals collaborate with both distributed talent and AI to realize goals is a possibility. To the extent AI can be harnessed in a blended sharing of ideas and solutions the more command people have over the direction of the future. Let’s utilize AI to help invent our tomorrow.

It may be helpful to envision exactly what kind of tomorrow we wish to have for ourselves. Clarifying an image of an optimal future allows us to strategically orient our resources, such as AI, to realize a destiny of our own intentional making. And as I suggest, AI can be one of our key resources or it could be a serious impediment.

Cultivating a positive collective future begins of course with projecting what is best for each individual. A reasonable contention is that the greater the number of happy or content individuals present in society, then the more satisfied the society will be as a whole. Achieving this state is really very non-technical. Technology alone is not necessary for individuals to be grateful for what they have, devoted to family and positive friends, having an optimistic demeanor, living in the present, and feeling dignified and purposeful. 

In addition to these very important psychological conditions we can include an economic perspective to round out our ideal vision of the future. Economics, more than psychology, can be shaped and influenced by institutional and governmental policy initiatives. The resulting economic model of exemplary standards will need metrics utilized to determine if desired goals are being achieved. To be comprehensive, a blend of quantitative and qualitative assessments need to be applied.

To start, let’s not rely too much on the Gross Domestic Product (GDP), which is a monetary appraisal of the market value of all goods and services produced over a period of time. GDP has been widely accepted as a broad metric of the national economy for decades and by inference how well people are doing. High GDP rankings correlate with high growth economies, which traditionally is considered a good thing. Aside from the obvious problem of trying to distill as complex an edifice as a national economy to a single number, GDP is credited with encouraging a style of economic growth that manifests as resource depletion and pollution growth. In addition, for an economy with significant inequality, such as America’s, not everyone experiences GDP advantages evenly.

Zoë Baird, president of the Markle Foundation, is not alone in finding fault with GDP as an adequate measure of how Americans feel about the health of their economy, and by extension, their own lives. Rather, she proposes a more inclusive set of metrics, which highlight historic economic afflictions and begins to shape a more affirmative direction. They include evaluations of public sentiments, amounts of job creation, quantities of new businesses, indications of growing median income, signs of increased worker protections and training opportunities, and growing numbers of young workers. In short, if evidence of enhanced economic opportunity for all citizens to pursue high quality and secure work at good wages can be established, then we have at the very least constituted a foundation for widespread prosperity and happiness.

Staying with this theme of envisioning the general public’s best interests through economics we can note other useful perspectives. Daron Acemoglu of MIT points out that the greatest driver of shared prosperity are good jobs, i.e. widely available secure jobs with high wages. News flash, huh? When such employment opportunities occur within a milieu of rising productivity, persistent job formation, and equitable gains, then there is less social division and more sense of community. (As an aside for any Socialist leaning readers, Acemoglu sees proliferation of good jobs as a far more effective and preferable model than a shared prosperity paradigm of redistribution alone.)

Further public interest considerations involve democratic governance that takes into account the dignity of all citizens, prudent business regulation, worker rights protections, easily accessible high quality workplace education opportunities, and community development.

Let us now take a look at how AI is contributing to the realization of a positive future that includes the features just described. To date the record is spotty at best. The most significant concern is its inclination to enable entities to amass information and wealth. If left unchecked, this consolidation threatens to exacerbate wealth inequality among segments of the population, including among nations. Skills which benefit the AI industry will be favored with a corresponding deemphasis on skills which do not, leaving vast numbers of redundant workers, lower wages, and a decline in the tax base. A shift toward monopolistic behaviors have always occurred when a new game-changing technology has been introduced, whether railroads, oil production, telecommunications, etc. and there is no reason to think it will not happen again.

Particularly worrisome in these early days of AI are the directions of its deployment. Much of AI is targeted toward the automation of functions, the collection of data, and the conduction of surveillance. The loss of jobs occurring simultaneously with governments and business acquiring ever more quantities of our personal data threatens to disrupt social order and the future of democracy.

AI is being empowered to make decisions and to make “higher quality” decisions it needs to process ever more data. Algorithms are sequenced sets of instructions that guide AI in its decision making. Initially these are written by human programmers. Any biases which a programmer possesses can and does find it way into the algorithmic design. This can be apparent in the data selected for analysis by the algorithm. When AI decision making is scaled to impact large numbers of people these biases are amplified to a significant extent, thereby instituting discriminatory practices to a degree that can be hard to unwind.

AI is likely to boost profits for those entities controlling its mobilization. According to a McKinsey report, Alphabet (Google), Facebook, Amazon, Microsoft, Netflix, Ali Baba, and Baidu control most of worldwide AI research expenditures. Erik Brynjolfsson, professor at the Stanford Institute for Human-Centered AI, points out that when technology replaces human labor wages decline and wealth concentrates. Job disappearance is not just a statistic. When people lose self-authority and motivation much more than just a job is lost. Are we to believe these mega-corporations are concerned about the rights and welfare of low-wage and minority workers, the work strain put on those working 70-hour weeks, or the social consequences of what they are unleashing? Perhaps, but I’m not entirely content on thinking so.

Our world is growing increasingly complex. The population is escalating and with it growing numbers of problems, more initiatives, expanding interactions, and multiplying challenges. The need for enhanced iterations of cognitive processing is upon us to address this intensification. The late Stanford University philosopher Kenneth Taylor referred to the overall cognitive load and the cognitive networks required to handle it. He saw cognitive networks as divided between humans and AI. Taylor’s anticipation was that the enormous degree of necessary cognitive labor will be tasked more heavily toward AI over time, simply because AI will be more efficient at manipulating this expansive load. If decisions require answers best made through coordination of vast amounts of information, then the machines will always be better than the humans. Therefore, it is incumbent on the humans to be sure cognitive networks are governed to distribute cognitive processing and decision making tasks such that humans remain a relevant part of the mix. Human workers need to insist they be targeted to resolve those issues for which humans are better qualified than machines.

Citizenry does not as a rule play a science oversight role. The closest we come is when we sit back and wait for science to send us new technologies which we either approve of or reject with our wallets. To think of ordinary citizens as overtly directing the progress of science seems almost ridiculous. But with regards to AI, this is what needs to happen. Concentrating vast power to a technology with so many inherent risks should not be an acceptable state of affairs. The people, the body politic, the proletariat must monitor, and when necessary, sway the development and deployment of AI such that the greatest good is realized by the greatest number of people.

To take on a citizen surveillance role begins with an agreed upon code of ethics. This is where we start becoming activists. Debate about what an AI ethic should look like will be a healthy exercise for society. Guidance on this issue can come from the work of Annette Zimmerman, a lecturer in philosophy at the University of York and an expert in understanding both the technology supporting AI and the social implications of such technologies. She encourages us to consider simple and common sense issues and ask key questions when thinking about AI. For example, just because a technology can be made, should it be made? Are the issues AI is made to address worth addressing? What is the AI’s objective? What is the likely effect of AI involvement? Might negative, unjust, or harmful consequences possibly result because of AI?

We don’t ask enough of these questions. Why don’t we? Zimmerman offers several reasons. Government has not yet been urged by voters to impose stringent regulations on AI developers. The right of AI businesses to make a profit supersedes prescribing any kind of watchdog at present. Furthermore, techno-optimists are encouraged to see AI as finally reaching an inflection point where its growth is becoming exponential. Also, an attitude exists wherein the public feels that high-end information technology is somehow sacrosanct and should be left to do its thing. Together, these conditions create social passivity just at a time when our guard should be up.

When looking at AI the core decision to be made might be, are the reasons for constructing an AI tool and continually improving it justified or should it just not be built at all. In short, is the proposed AI fair? As Rachel Thomas of the Center for Applied Data Ethics at the University of San Francisco points out, the established pattern for AI progress is too centralized among system designers and operators. As a preferred alternative, Thomas proposes that AI evolution be more democratic and participatory among end users and others impacted by AI. As we are seeing, a key component of AI ethics involves ordinary people being actively engaged and persuasive with both the corporate powerful and the individual AI design talent.

At Dartmouth College in 1956, John McCarthy and his cohorts saw the potential for every aspect of human intelligence as capable of machine simulation. Where this has gone over the past sixty-five years is that machine intelligence is focused almost exclusively on what Kenneth Taylor calls AI-as-engineering — deep learning machines that process Big Data looking for patterns from which to make predictions. This is but one slice of intelligence, but the one which at present is the most profitable, hence the most common in the AI industry.

Artificial Intelligence is here to stay. It will not and should not be eradicated. Great innovations will come from AI, leading to improved lives worldwide in ways that are just now being imagined. Progress which positively influences the greatest number of people possible should be welcomed, whether it originates with AI or not. However, we should never lose sight of the aims being devised for the use of AI’s power. We should be able to manage disruptions to our way of life. But degeneration should not be tolerated. Democracy, our glorious experiment in self-government, sanctions us to control the levers of power, including when necessary power in business. The time to do so is now.

 

 

 

 

 

 

 

Workers Are Flexing Their Muscles

An unmistakably big story in the 2021 career space has been about what is being dubbed “The Great Resignation” or “Turnover Tsunami”. Of course, I am referring to the throngs of workers in both the relatively high paying knowledge economy, but also in the lower income sectors, like hospitality and retail, who are leaving or not returning to their pre-pandemic fields of employment. 

A whopping 40% of the global workforce has left or is planning to leave jobs this year. The U.S. Labor Department has never seen such an acute spike in resignations in the twenty plus years it has been tracking such statistics. 

The popular media has for months now been pumping out pieces referring to the phenomenon and the suspected reasons behind it, such as higher savings rates thanks to government financial assistance, fear of catching the virus at work, insufficient childcare options for working parents, and a growing realization that a lot of hiring is now going on.  

However, the monumental reason for this employment churn appears to be a dignity factor. The Covid pandemic is allowing for a massive reassessment, and by extension, a realignment of what truly matters in one’s work and life. 

Shelter-in-place directives, social distancing, and closed office buildings, restaurants, and stores shook people’s mindsets in numerous ways. Many front-line “essential” workers who were heralded as heroes early in the pandemic are now either burnt out or tired of the abuse they get, like healthcare workers. Many well compensated workers ensconced in jobs pertaining to information flows and the means of production are bailing from positions because of the stress levels and long hours. Those on the low socioeconomic end feel abused, disrespected, and exploited and are not going to take it anymore. The number of workers and the type of worker taking the employment shift plunge are both expanding. 

This spectacle is causing economic hardships for a range of stakeholders from business owners to customers. The flux in employment is helping to fuel in part the larger pandemic-related worldwide economic convulsion. Shouldn’t we all be really concerned about this dramatic and disruptive turn of events?  

Yes, we should be, but not of fear for the interests of the wealth holders becoming suddenly inconvenienced, but in support of workers who are all in different sounding ways and from different points of view collectively saying they want and expect fair compensation, respect, and a voice in how their careers are going to develop. This brief period in history may be seen as a possible inflection point in the 21st century morphing of work and career into something different from the way it has been in the past. 

I come back to the three intrinsic motivators for professional workers eloquently described by Daniel Pink about ten years ago. Pink wrote and spoke about the need and quest for autonomy, mastery, and purpose as to what gets successful and satisfied workers out of bed in the morning. We are more motivated and driven to perform well at our jobs when we feel we have relatively free rein to innovate and produce, when we feel we are developing a skill or talent, and when we feel that what we are doing at work matters in a value sense. 

It seems to me that what many of these job searchers are looking for comes very close to what Pink is describing. Combine dignified levels of compensation with workplace cultures that honor worker autonomy, mastery, and purpose and a job can become more satisfying and sustainable. 

I get that some just want a decent job and not a career, but what makes an employee want to stay and thrive is fundamentally not very different between a highly educated contributor and an hourly employee. Dignity and respect can go a long way. 

Revitalizing Meritocracy

Merit denotes goodness. It is a word synonymous with excellence, value, and quality. We strive to live meritorious lives, because to do so brings happiness to others and distinction to ourselves. When society thrives, it does so largely due to the actions and contributions of people displaying merit. 

There is no hotly contested debate about the virtue of merit. It is generally thought to be a desired attribute, particularly among employees. What boss would not want to have positive, reliable, and worthwhile workers on her team? And yet, another term derived from the word merit, meritocracy, seems to be under fire. 

Broadly speaking, meritocracy refers to an institutionalizing of talent, ability, and skill which when present and operational results in optimally run organizations, whether in business, government, or the nonprofit sector. Compensation and power are steered toward those individuals who best demonstrate the desired traits of a meritocracy such as intelligence, valued credentials, and solid performance. 

I always thought meritocracy was an affirmative construct, so I have been surprised to see that meritocracy has now become, counter-intuitively for me at least, a controversial concept. To see why, I decided to examine what the dispute is all about. 

Examples of meritocratic administration are historic reaching back millennia. More recently though, it turns out the word meritocracy was originally coined and used derogatorily in 1958 by a British politician who was criticizing the British education system as overly favoring student intelligence and aptitude above other characteristics, leading to elitism. 

It was not until 1972 when Harvard sociologist Daniel Bell put a positive spin on the term by championing a combination of intelligence and energy as ideologically desirable. Today, there are many proponents and critics of meritocratic systems. Their divergent views seem to rest on differences in how one determines what is fair in an organization or institution. 

For example, Jim Whitehurst, who is now president of IBM, is bullish on meritocracy. He sees only advantage in strongly rewarding the best people with the best ideas. Establishing a culture that encourages listening and sharing and where every associate can contribute makes it easier for management to discern which inspirations result in high end gains over time. By enabling leaders to spot emerging talent and to position this ability where they can create the greatest value, followed by generous compensation for the quality influencers, is the hallmark of a highly functioning meritocracy. Keeping associates engaged and identifying in-house leadership makes for a stronger organization. 

A recent significant criticism of meritocracy was released in 2019 in the form of a book, The Meritocracy Trap by Yale law professor Daniel Markovits. He sees meritocracy as “a pretense, constructed to rationalize an unjust distribution of advantage.” According to Markovits, meritocracy has two profound liabilities — it is often an unfair system that benefits those of a certain traditional type of leadership, say white males over women or minorities, and that those seen as meritorious find their lives consumed by competition and long hours devoted to the company. Hence, the trap. In practice, not all talent really percolates to the top and if one is “lucky” enough to be among the chosen, then one’s life becomes less than satisfying. 

So, does meritocracy need reform? It depends on how “fair” is defined within an organization that purports to practice it. The style of meritocracy described by Whitehurst sounds fair to me, if and only if, the culture is truly open to high quality ideas no matter who puts them forth and that selection of those with desired aptitudes are chosen for their skills and abilities alone and not for extraneous considerations. And Markovits’ point about exploitation of expertise is also in need of monitoring, primarily by those whose careers and lifestyles are most affected. 

One thing advocates and critics alike can agree on is that merit is a virtue to be promoted and defended. We all benefit when it is. 

Questioning the Future of AI

When I drive my E-ZPass-less car through the tollbooth on I93 in Hooksett, NH, I intentionally swing to the right to hand a dollar to the tollbooth attendant. When checking out from a shopping trip in a big box store, I prefer paying a person at a cash register rather than using the self-serve payment scan system. 

It is not that I am some sort of crotchety Luddite who shuns digital progress. I pride myself on maintaining some decent level of technical functionality as I age. But I have come to question why those who design and build our Artificial Intelligence (AI) systems are obsessed with things like automation. In fact, the more I investigate AI the more surprised I am that AI is being utilized so narrowly, unevenly, and menacingly. 

The AI movement is powerful, significant, and potentially authoritative regarding how our personal and work lives will be lived in the coming years. The scale of its reach places it in a class far beyond the technological tinkering improvements we generally see with new phone models or app developments. Machine learning is far more enigmatic than a better video camera or gaming platform. 

Momentous changes are likely in a broad range of fields from mechanics to medicine and are expected to reshape work and modify markets. Many of these transformations will be welcomed, perhaps cherished, but others perhaps should not happen at all. 

When looking at AI today it seems too much of it is focused on building systems that either automate functions, collect data, or conduct surveillance. This should be concerning. The likelihood of jobs being lost, governments and companies holding vast quantities of our personal information, and our personal freedoms becoming threatened is not some far-fetched paranoid delusion, but an ugly scenario we should work to prevent. 

There is progress and then there is degeneration. AI could give us either or both. As an analog, I think of my attitude ten to fifteen years ago about social media. Then, the crowdsourcing of unregulated input from the global community augured richer and more transparent conversations about any number of topics. Or so I thought. Today social media looks like a cesspool of disinformation and disgruntlement ushering in social breakdown. Not all innovations should be welcomed. 

In our democracy, while we still have one, the general public needs to be actively engaged in monitoring the AI powers that we have and weighing in on policies to determine what AI engineers develop. Living with a laissez-faire attitude of, ‘Well, whatever the markets come up with will be fine. Markets know best.’, can lead to costly and offensive ruptures in the very framework of society. Citizens should insist that AI be deployed in a generally advantageous manner as described by utilitarian philosophers like Jeremy Bentham — “the greatest amount of good for the greatest number”. 

Instead, it looks like AI development is being driven more by the acquisition of corporate profit and power than by what benefits society. One does not need be a wild-eyed Socialist to question whether a disruption as encompassing as AI could potentially pose hazards to society. Those who control the development and deployment of AI will have a lot of authority and say in how our economy operates and how our future day-to-day lives are experienced. Concentrations of power have traditionally been held suspect in America. Well, we have one in the making. Let’s pay attention. 

The ultimate direction AI takes does not have to be decided solely by engineers and corporate C-levels who find business in selling only surveillance and automation tools. AI could be targeted to complement and improve the work done by real people, while also creating new activities and opportunities that keep workers gainfully employed. We have a choice — let AI rule us or we rule it. Hopefully, we will choose wisely. 

Green Values Meet Manufacturing

Increasingly, we see workers wanting to aim their careers in the direction of green pursuits and sustainability. Many careers are being chosen to align one’s environment-friendly values with their need to earn a living. Jobs ranging from LEED building inspections to ecotourism to aquatic biology and much more are under consideration. What is rarely considered by the environmentally conscious job seeker is a career in manufacturing. 

Manufacturing gets a bad rap among the green crowd. Although we all heavily rely on the diverse range of products yielded by the sector, it is nevertheless often viewed as unclean and a source of resource depletion. The 20th century image of soot-stained smoke belching factories beside lagoons of toxic waste still clings to many minds. Choosing work between an industrial plant and say a green initiative nonprofit is a no-brainer for the ecologically inclined. 

But wait! There may be reasons to look at the modern manufacturing sector as harboring some initiatives that could make even the most devoted tree hugger stop and slowly nod in the affirmative. 

Gradually, we see evidence of manufacturers attempting what is known as a circular business model. This approach seeks to establish supply chains that involve recycling and recovery of constituent materials used in the making of products. If the circle is really tight, supply chains swirl themselves into a continuous loop, whereby new raw materials are rarely needed in the reproduction of products. 

Imagine knowing that once the usefulness of a manufactured product has expired it can be returned to the industry from whence it came, rather than a landfill, and be reused or repurposed into future products. Sounds pretty green, doesn’t it?  

Beyond the PR-positive social responsibility and environmental gains of instituting green practices, there are other economic benefits for the manufacturer by going circular. These include reducing production waste and utilizing raw materials more efficiently, both of which are cost saving activities. 

Implementing a circular business model can involve up to three strategies, according to operational experts Atalay Atasu, Céline Dumas, and Luk Van Wassenhove. They identify the following as practical schemes manufacturers can apply to adopt a circular model. 

The first is known as Retain Product Ownership. Typically, this involves leasing rather than selling products. Once the product is past its usefulness it goes back to the manufacturer for reprocessing. This approach may work best for products with a lot of components and complexity, and which can be transported back to the manufacturer relatively easily. 

Another direction may be in Product Life Extension. Here products are made more durable and longer lasting than the competition. Gaining a consumer reputation as a quality enduring product makes premium pricing more justifiable and builds consumer loyalty. Throw in easy exchange policies for worn or defective products and people take notice. 

There is also the intentional Design for Recycling action plan. Designing and creating products built to be fully recycled ensures the eventual reuse of products or at least their elemental parts. It is surprising we do not see more of this in general manufacturing now. To have an infrastructure that efficiently captures reusable products that are made to be recycled would be a very exciting development in manufacturing, indeed. 

To be sure, management may have to get creative with how to weigh these different approaches to reduce both costs and their environmental impact. What is most important is for the manufacturer to see that value can be reclaimed from their products. With value comes profits. Re-energizing product value time and time again at lower costs may make good business sense. 

So, when searching for “green” lines of work consider whether these circular business model techniques align with your eco-consciousness. You may find manufacturing is the place where you can best express your environmental principles. 

How Students Can Get Their Career Started on the Right Foot

I am pleased to present a Guest Article from Leslie Campos of Well Parents. For more information about this wellness resource targeted for parents please visit https://wellparents.com.

High school and college students can’t wait to launch into a career and start gaining real-world experience. However, when graduation nears and it’s time to start applying for jobs, most students don’t know where to start. Before the job search begins, students should take these steps to get their professional life started off right. Below, we explore some ideas that can help you start off your own career planning on the right foot.

Building Strong Credentials

New graduates lack work experience to put on their resume, but that doesn’t mean they lack experience. Without career positions to highlight, recent graduates should focus on internships, apprenticeships, volunteer experience, and extracurricular activities to demonstrate their relevant experience.

Listing roles isn’t enough. Applicants should highlight skills and accomplishments from each role, focusing on skills that are related to the job they are applying for. Many of these will be soft skills, but that’s not a bad thing. Employers can always train an entry-level employee in the technical skills they need for a job, but instilling soft skills like communication, conflict resolution, and leadership is much harder.

To further hone your capabilities, an advanced education might fit the bill. Programs like WGU’s market-responsive online business program brings relevant, real-world knowledge to the table, and you can even flex the course load to suit your needs. Explore your options to find industry-relevant, practical programming that will give you the advantages you need.

Networking

Outside of developing their resume, networking is the most important thing students can do to set themselves up for a successful career after graduation. Networking with professors, campus staff, fellow students, and alumni is a good start, but students should also look beyond their school’s walls for networking opportunities.

Internships are ideal networking opportunities for students. An internship is a way to develop hard skills needed on the job, but more importantly it’s a chance to meet potential employers, learn about career paths in a field, and gain strong references for a future career search. Naviance recommends college students pursue internships as early in their college career as possible rather than waiting until senior year.

Crafting a Strong Resume

Skills and a strong network alone won’t land recent graduates in their career of choice. Entry-level workers also need strong application materials that appeal to today’s hiring managers. A strong resume is partly about content, but design is equally important. A resume and cover letter that are visually appealing and free of errors demonstrate an applicant is diligent and detail-oriented, skills every employer wants in their staff. At the same time, students should be wary of sacrificing professionalism for the sake of design. For first-time job-seekers, premade resume templates are an essential tool for creating a resume that balances good design with a professional appearance.

While filling in a resume template, applicants should be sure to include keywords from the job posting they’re applying for. Many companies use electronic applicant screening systems to find resumes with keywords that pertain to the job. Monster explains how to select keywords along with other resume tips for recent grads.

Pursuing Non-Traditional Career Paths

Pursuing a college degree and a white collar career isn’t the only path to economic success. Many recent graduates find they are better suited for entrepreneurship or a career in the trades.

Entrepreneurship is a challenging route for people without real-world experience to build off of, but many recent graduates are finding success in starting online businesses such as ecommerce businesses based in dropshipping. These types of businesses require much less start-up capital than traditional brick-and-mortar businesses, making them more accessible to young people with limited financial resources. As long as entrepreneurs can deliver unique value to customers and build a strong website with good customer service, they can find success in online business.

The trades are another field in high demand. High school students can enter the trades without a four-year college degree and earn an income comparable to their college-educated peers. As NPR reports, trades such as construction and plumbing are experiencing labor shortages in much of the US, so students interested in this path face little trouble finding opportunities.

The transition from student to professional isn’t an easy one. The shift is made even harder when students don’t know the right way to land the job they want. While these tips can’t guarantee students will land the entry-level position they’re aiming for, they’re the necessary first steps toward a successful career.

 

Image via Unsplash