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‘Many experts predict the transformation unleashed by AI will be more of an
evolution than outright labour force decimation.’ Illustration: Moor
Studio/Getty Images
View image in fullscreen
‘Many experts predict the transformation unleashed by AI will be more of an
evolution than outright labour force decimation.’ Illustration: Moor
Studio/Getty Images
The modern mindArtificial intelligence (AI)

This article is more than 3 months old


WHAT’S THE POINT OF DEGREES IF JOBS BECOME AUTOMATED? HOW TO STAY MOTIVATED AMID
AI’S RAPID ACCELERATION

This article is more than 3 months old
Gaynor Parkin



Robert always dreamed of becoming an engineer. But months into his first year he
started doubting if it was worth the immense effort

 * The modern mind is a column where experts discuss mental health issues they
   are seeing in their work

Mon 2 Sep 2024 01.00 AESTLast modified on Wed 4 Sep 2024 18.53 AEST
Share




Robert is a bright and sparky 19-year-old who has always dreamed of becoming an
engineer. He enjoyed maths and science throughout school and was accepted into a
local university engineering program. But just months into his first year Robert
started having real doubts about whether pursuing this career path was worth the
immense effort.

“I feel like I’m wasting my time and money,” he said during one of our sessions.
“By the time I graduate in four years, AI is going to be way better than humans
at engineering, and everything! What’s even the point of getting this degree if
the jobs will all be automated away?”



Robert’s anxiety and loss of motivation were palpable as he spoke. He worried if
the goals he set before the rapid acceleration of AI capabilities were naive.
Increasingly, Robert began doubting whether any profession is truly future-proof
against the onslaught of automation.



For a young person once brimming with ambition and optimism about his future,
Robert had succumbed to a fatalistic view that no amount of education or hard
work could outrun the machines. Sadly, this view slipped into some hopelessness
about long-term career prospects and cast a dark cloud over his daily life.
Robert’s sleep and appetite suffered, his grades slipped and he started to
withdraw from friends and activities he usually enjoyed.



Working alongside Robert to help him develop a more hopeful view again, our
first step was to completely validate the reality of his worries about the
rapidly changing world of work. I agreed with him: it is scarily fast, and we
cannot know the full impact. He was also right that the effects were likely to
be borne more by early and mid-career workers.

Alongside this emotional validation, it was also important for Robert to learn
that while personal to him, his fears were being experienced by many young
people all around the globe. While numbers vary, a consensus in research from
MIT and McKinsey predicted about 30% of current jobs could face automation by
the 2030s. But the report predicts an increase in the demand for Stem jobs,
which is good news for Robert’s chosen field. We used the analogy together of
“tectonic shifts” in the job market which resonated with what he had heard from
industry figures.



We discussed at length that his fear about being replaced by ever-smarter
machines was an understandable psychological response, not a personality flaw or
failure of willpower on his part. Building on a psychological perspective, we
worked together to dial back his tendencies toward all-or-nothing thinking,
especially that making efforts to pursue a career was completely hopeless.

> Creative, adaptable, and entrepreneurial humans will continue to be in high
> demand

Karina Vold, ethics researcher

Instead, a particular skill we focused on was practising a “Zen” mindset –
accepting the reality of technological transformation while also nurturing an
attitude of curiosity and openness about the future. We highlighted ideas for
Robert to try to stay grounded in the present realities of human-led workplaces,
rather than catastrophising about doomsday scenarios decades away, which while
possible, cannot be predicted with certainty.

While justified, Robert’s worries do reflect an overly deterministic view of the
future job landscape. Many experts predict the transformation unleashed by AI
will be more of an evolution than outright labour force decimation.

We also problem-solved how important human skills like emotional intelligence,
creativity, and managing uncertainty were precisely the strengths people would
need to coexist alongside AI in dynamic future workplaces. By cultivating
emotional and cognitive flexibility rather than over-specialising too soon,
Robert could position himself for diverse opportunities.

Using a positive psychology framework, I also spent some time helping Robert
explore options beyond a job title and reconnect with his intrinsic motivations
to become an engineer in the first place – his natural problem-solving abilities
and his drive to innovate and create solutions benefiting society. He created a
screen saver on his laptop to remind him that wellsprings of human meaning,
engagement and fulfilment would remain essential even as roles and industries
evolved.

A final step was encouraging Robert to investigate expert knowledge and accurate
predictions about AI rather than black-and-white sensationalist news.

According to the organisational psychologists Dr Reece Akhtar and Tomas
Chamorro-Premuzic: “If you stay curious, practice humility, and focus on others,
you will be well positioned to thrive.”

Similarly, the ethics researcher Karina Vold from the University of Toronto
said: “New roles dealing with the challenges created by advancing AI systems are
likely to open up … creative, adaptable, and entrepreneurial humans will
continue to be in high demand.”

And a World Economic Forum report estimated that by 2025 AI could generate 97m
new jobs across industries as opportunities emerged alongside displacement
risks. Far from a jobless future, the analysis suggested an essential
human-machine partnership and need for continuous education to re-skill
alongside technological change.

The reality for Robert and other young people is that no one can predict the
precise impacts of AI with certainty. But by cultivating a flexible mindset,
practising being comfortable with ambiguity, and developing adaptability towards
career skills it’s realistic to be hopeful even amid the rapid technological
transformations reshaping the future of work.

Gaynor Parkin is a clinical psychologist and founder at Button Psychology

This article was amended on 4 September 2024. An earlier version said that
Robert’s chosen engineering field was among the highest risk sectors. However,
research predicts an increase in the demand for Stem jobs so this reference has
been removed.

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 * Artificial intelligence (AI)
 * The modern mind
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