As the 21st century deepens, the technological landscape continues to change dramatically, and 2023 will be perceived as the beginning of the post-knowledge era.
Dawn of the post-knowledge era
This pivotal moment is marked by the emergence of AI technologies that will not only reshape the world, but threaten knowledge-based, white-collar jobs for the first time.
We can no longer afford the “great unwashed people” to sit in ivory towers, while technological advances displace jobs and widen inequality with each new innovation.
Thus, standing on the precipice of the AI revolution, we grapple with an uncertain future, ethical concerns, regulatory challenges, and potentially widening socioeconomic inequalities. Much like the rise of social media, artificial intelligence has the power to shape our lives in previously unimaginable ways.
But just like the Web 2.0 revolution that brought us social media, as AI is integrated into more and more parts of the world, there are countless downsides, ethical concerns, hurdles, and regulatory issues to address. To do. This time, we are expected to learn from past experiences and stay ahead of the curve, such as allowing social media companies to exploit our data extensively.
Admittedly, all social media issues are still unresolved. Still, we are certainly in a better position than eight years ago when Cambridge Analytica reigned supreme.
Evolution of Connectivity and Emergence of AI
Fewer and fewer people remember the pre-internet world by the day, and there are two generations that only know the connected world.
The Internet has interconnected computers. Mobile phones connected people to the internet, and then social media connected people to each other.
Social media spread rapidly and grabbed people’s attention. It has opened up what has never been possible in the history of mankind. Networks, commerce, trade, love and romance have all become internationalized. Now, AI has entered the arena and has evolved to a point where its impact on the real world is unquestionable.
But after decades of technological advances that have continued to bring more and more people together, we now have technology that has the potential to exclude humans from our connected world.
You might think this is deja vu.
But it’s not.
Throughout history, there have been countless times when people lost their jobs because of new technology. One of the earliest examples is the Industrial Revolution in the late 18th century. The introduction of steam power and machinery banished craftsmen and artisans who could not match the efficiency and productivity of machinery.
In the 20th century, the rise of automation and computerization caused further job losses, similar to the introduction of assembly line production in the automobile industry in the 1920s, leading to the dismissal of many skilled workers.
Similarly, the prevalence of computers in the 1980s and 1990s automated many clerical and administrative tasks, resulting in job losses in these fields.
Not this time.
Tech companies want white-collar jobs
White-collar jobs typically involve more mental and cognitive tasks, and thus have traditionally been thought to be safe from the threat of automation, but rapid developments in generative AI are now pushing this assumption to the fore. questioned.
AI-powered systems are becoming increasingly adept at performing complex tasks that were once the domain of highly skilled humans.
Some argue that the shift will spark intense debate about the potential impact of generative AI on society, leading to unprecedented levels of unemployment. In contrast, some argue that it will open up new opportunities for human creativity and innovation. MIT robotics professor Julie Shah said: highlighted, “These technologies do not lead to one future, but to many possible futures.”
This is in contrast to blue-collar jobs, which are typically manual labor and are heavily influenced by technological advances. But with the rise of generative AI, the lines between blue-collar and white-collar jobs are blurring. Those in power may now be targeted for AI-driven unemployment.
As generative AI systems become more sophisticated, they can perform tasks once reserved for highly educated and experienced professionals.
in the world of finance, Banks using Large Language Models (LLM) provide personalized service without the need for branch offices. Additionally, AI is said to be able to “take more informed risks” and prevent fraud.
In journalism, tools like Reword allow journalists to hire writing assistants, researchers, proofreaders and muses without increasing labor costs.
flat Medicine using AI This will enable doctors to make faster diagnoses, enable more individualized monitoring of health conditions, and accelerate research into new treatments.
These examples are proof that AI capabilities are advancing rapidly, encroaching on territory once reserved for highly skilled human experts. LLM may be introduced into the physician’s surgery as the first point of contact given the following: Recent data On GPT-4’s ability to handle patient care.
Those in positions of power and influence may for the first time face the same job loss concerns that blue-collar workers have faced for years.
Lawrence Katz, an economist at Harvard University, said: commented Speaking to the Guardian about potential departures in February.
“As has happened with all technologies in the past, AI will obliterate many of the jobs we have today. Will changes in the composition of the workforce exacerbate existing inequalities: Will AI increase productivity enough to create new jobs and raise living standards, while displacing many jobs?”
How will influential white-collars respond to AI?
White-collar reactions to the rise of generative AI are likely to become highly politicized in the years to come. I think it’s important to hear the message about generative AI through the eyes of people whose jobs are unexpectedly threatened right now.
There are many powerful, talented, and tactical people who feel they have a vested interest in slowing the progress of this AI revolution. Technology usually does not affect those who have the authority to do anything about it. This time it will be.
Some may adopt this technology, adapt their skills to work in conjunction with AI systems, and leverage their capabilities. Still, some fear that this rapid progress toward a fully automated world will have disastrous consequences for humanity.
However, to achieve this level of automation, the field of robotics also needs considerable progress. In my view, the field of robotics is far behind the current state of generative AI.
For example, the open-source developer community is currently excited about frameworks like LangChain that allow developers to create generative AI content in four lines of code, or self-replicating AI agents to delegate tasks. Exploding. On the other hand, the best robots are often hooked up to industrial power sources and cost an unaffordable sum for most people and businesses.
There is no doubt that there is a potential future where generative AI models are integrated into robots and replace manual labor en masse. Still, that future is far away, as it first needs to be cost-effective. Meanwhile, a future in which generative AI models can replace vast numbers of white-collar jobs is in front of us.
Some blue-collar jobs may be at risk, but jobs that require a high degree of human touch, creativity, or simple physical presence will continue until the cost of robots drops dramatically. Likely to resist automation. Additionally, the emergence of new technologies often creates new employment opportunities in maintenance, programming, and other areas related to the technology itself.
Learning from the social media revolution
The rapid rise of social media has shown us both the advantages and disadvantages of adopting new technology. Meanwhile, social media has made it easier than ever to connect with others, access information, and share ideas.
At the same time, people are spending more time online and less time interacting with others in person, increasing feelings of isolation. concerns have also arisen.
speak in Stanford Graduate School of Management In 2017, former Facebook vice president Chamas Palihapitiya admitted that he felt “tremendous guilt” for joining the process of social media taking over the world. He went on to criticize the addictive designs used by top social media giants.
“The short-term, dopamine-driven feedback loop we created [on social media] You are destroying the fabric of society. ”
We have seen a slow response to social media regulation and user protection. We now have an opportunity to learn from past mistakes and implement ethical guidelines early on. Making AI accessible to everyone, not just governments and the ultra-rich, is critical to preventing power imbalances and promoting inclusive development.
As a society, we need to be candid and open in discussing the role of AI in our lives and how we can ensure it benefits everyone.
The Future of the Labor Market in the Post-Knowledge Era of AI
The labor market will inevitably change as AI becomes more pervasive, requiring a shift in focus from traditional skills to those that complement AI technology in the post-knowledge era.
Workers need to develop and adapt skills in areas such as critical thinking, creativity and emotional intelligence. In addition, educational institutions and governments will need to adjust their strategies to prepare future generations for a world in which AI plays an important role.
Humans evolved by chance. AI evolved through design. From a completely objective point of view, we are made of matter that formed after the Big Bang, and so is AI. Just because the universe indirectly created AI through humans doesn’t necessarily mean we own it. Anyway, it’s not forever. As a result, the work of someone like Isaac Asimov would certainly be viewed quite differently thirty years later.
Ultimately, the key to navigating the AI revolution is adaptability, continuous learning, and developing skills that complement AI technology. What happens next will be an adventure. I personally embrace generative AI wherever it adds value.
Journalism is clearly a threatened industry, so my goal is to lean and adapt to the post-knowledge age. Just because a generative AI model can get the job done today doesn’t necessarily mean there won’t be a job tomorrow. We have to adapt, grow, and learn how to use generative AI tools. Honestly, I think those who don’t, those who resist it, will be like cavemen who refuse to embrace fire.
A Call to Collective Action and Adaptation
Adaptability, continuous learning, and developing skills that work in tandem with AI technology are critical to the future of the labor market. As we continue to evolve with the technology we create, our role is not to resist, but to integrate, adapt and grow.
The beginning of the post-knowledge age heralds a transformative moment in our history. While it brings uncertainty, it also brings opportunities to redefine work, innovation and social structures.
The future of work is not man vs. machine, but man vs. machine. The dawn of this new era will undoubtedly reshape our world, if we can steer in that direction with wisdom, foresight and a shared sense of humanity. , can ensure that this technology is used differently and for greater benefit than ever before.
From blue-collar workers to white-collar professionals, legislators to educators, each of us has a role to play in this journey. We must not only prepare for change, but actively participate in shaping it.
This is our common challenge and our common responsibility. The dawn of the post-knowledge age is approaching. It’s up to us if we can turn it into a sunrise instead of a sunset.