🌪 "Jobs change, but not enough people."
🌪 "Jobs change, but not enough people."
(When the war against the talented and the working world is not the same)
We may be at the most critical juncture of the working world in decades, a time when both "work" and "working people" are being redefined simultaneously.
Not only because AI starts to code, automation starts to analyze data instead of humans, or digital tools can draft emails and summarize reports faster than people, but because the whole structure of work is being rewritten, from job patterns to work methods to the value of labor in the global economy.
The questions that resonate in management boardrooms around the world today are therefore not just
"How can we find more talent?" But it turns to "On a day when jobs change faster than people, how can organizations adapt to compete?"
The concurrent picture around the world is that many jobs are changing rapidly, while skilled workers are not enough.
Translated into a simple language, "Same jobs are disappearing, but new ones are impossible to find." And this is not a problem of one industry, but a huge storm faced by all enterprises simultaneously.
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🚩 The real problem is that not only are people not enough, but the "working model" has expired?
Many organizations are still trying to solve the problem with the same formula that has worked in the past.
* More applications open
* Offer higher salaries
* Take the best from the competitors
* Use bonuses or welfare, attract people.
But the reality is that "the field of play has changed, but many organizations still play with the same rules." Look at at at least three big changes that are happening at the same time.
1) The younger generation is no longer working for money alone.
Many young workers do not choose their jobs from their salaries alone, but start asking new questions to their working lives, e.g.
* Does this work mean anything to life?
* Is there time for family and personal life?
* Do you work flexibly?
* Does the organization have value consistent with what it believes in?
Many organizations continue to measure dedication by the number of hours employees are in office, while young workers are beginning to value results more than sitting down for full time. The result is that "non-adaptive organizations are beginning to lose the ability to unconsciously attract the younger generation."
2) Technology runs faster than human learning.
* Many tasks that used to be human core are being replaced by automation and AI, whether they are basic data analysis, documentation, or even some kind of writing.
* Meanwhile, emerging new jobs require advanced information, technology, and analytical thinking skills.
* The problem is that the education system and the workforce skills development system have not adapted to the speed of technology.
* So there is an increasingly common situation: "Many people have graduated, but the skills have become obsolete before they start working," so the organization has to take on the burden of training new people from the ground up again.
3) War for the more expensive talent every year
* When the demand for skilled workers is higher than the number of people available, the labour market becomes a personnel bidding ground.
* Many Tech employees change jobs every 1-2 years to increase revenue and growth opportunities.
* Organizations that solve problems by spending money have to bear large costs, both recruitment costs, new job learning costs, and the risk of people moving out again in no time.
* In the end, the organization got good people, but the team was never stable enough to produce a long-term portfolio.
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📉 lessons that many organizations have paid for.
* Business history is full of examples of organizations that used to succeed but couldn't adapt to a changing world.
* Many companies used to have great teams, ready technology, and huge investments, but still can fall because they still think and work in the same world.
* On the one hand, many technology projects fail, not because there is a lack of good engineers, but because technology teams and business teams do not understand each other.
* So the organization gets a breakthrough system, but the customer does not use it, or gets complex products, but cannot solve the real problems of the market.
* The reality that is becoming clearer is that "the problem is not the lack of talent, but the lack of a system that makes talent work together effectively."
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🛠 the way to survive is to stop hunting superstars and start building people.
Organizations that are starting to adapt better have one common idea: "Instead of trying to find talent from the outside alone, they start investing, creating talent from the inside."
1) Reskill in the enterprise is the most rewarding investment.
The same employees have an important advantage: they already understand business, processes and customers.
When an organization adds new skills to this group, whether it's data use, collaboration with automation, or other digital skills, the results are often more sustainable than hiring completely new people.
It also helps maintain knowledge within the organization, and creates long-term bonds with employees.
2) Build a Hybrid Talent Team
The new working world doesn't just need a good coder or a good salesman, it needs someone who understands technology and business to some extent.
So many organizations began to build teams where people from multiple lines of work worked together from the beginning, not separate Tech and Business as different worlds as in the past.
As teams can speak the same language, the development of new products and services occurs faster and answers more market problems.
3) Lifelong learning is no longer an option.
Skills that used to be used throughout life are getting shorter and shorter.
Working people therefore have to relearn periodically and adapt to changes in technology and the labor market.
In a world where AI can do technical work better and better, critical skills become
* Complex thinking
* Creativity
* Communications
* Human understanding
* Working together in a variety of teams, "which is also something that machines instead of humans are difficult to do."
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🔄 This transition is recruiting new organizations and workers.
* In the past, the advantage may have been the best student or the hardest worker, but in the modern working world, the advantage is the one who is fast and adaptable.
* So is the organization itself. The surviving organization is not the company with the most money or the best people today, but the organization that can build the next generation the fastest, because ultimately, the key question may not be:
"Will AI replace people?" But "On the day the job changes, will those who refuse to learn again be replaced first?"
And perhaps this is the most important question for both organizations and workers in this decade.
# Adaptability























































































