Will AI kill people's jobs? Yes, he already has. It has required some jobs in delivery companies and on large platforms such as eBay, Amazon and others. Will these business owners find ways to reduce costs even further? Yes, they will do anything, anything to reduce the need to pay humans.
The companies and systems that already exist clearly show this change and also reveal something deeper when you look closely at what is happening over time. As automation grows, it is not just about replacing tasks but also about reshaping the way people live, earn and survive. It becomes a question not only of technology, but also of daily life, food, stability and dignity.
Do you know of any areas where AI is already making great strides? Customer service. In many cases, chat systems and automated assistants are already replacing human workers. Military development is also changing, and countries are building AI-powered systems that can function without direct human presence. This may be just the beginning, or at least a revelation.
The world is moving rapidly in directions that are not always positive. Have you ever thought about what the world would be like if AI filled most jobs? Let me describe what comes to mind, something many business owners may not consider or even want to imagine.
In that world, people would wake up with nowhere to go. There is no shift to start, no call to answer, and no pay at the end of the week. Entire households could be left without income. In some places, food would become uncertain, not because it does not exist, but because people no longer have the money to access it. You would see long days turning into empty routines, where the issue is no longer work but survival.
As this continues, the pressure on daily life will increase. Addiction to cheap drugs would likely increase, not as comfort but as an escape. When people lose jobs, structure, and direction, some turn to substances to numb hopelessness, hunger, and uncertainty. What begins as coping can quickly turn into dependency, spreading to communities already under pressure.
The streets in such a world would also be less safe. With unemployment rising and support systems scarce, more people would be pushed into desperate situations. Public spaces that once seemed normal could become unpredictable, shaped by survival rather than order. Fear and caution would replace everyday stability.
Not even religion would be left intact. In times of difficulty, people often turn more deeply to faith, but that vulnerability can also be exploited. Some may use religious influence to control or manipulate those desperate for hope, food, or guidance, offering relief in exchange for obedience or loyalty.
At the same time, food systems could become tightly designed and controlled. Governments can try to resolve shortages through accelerated production methods, but this could result in highly modified foods with little or no nutritional value. As natural foods become less accessible, health problems could increase rather than decrease. Food banks and shelters will be common in all communities.
Society itself could become more controlled. People can begin to live under strict systems that regulate access to food, housing and basic services. Compliance could become necessary for survival. Under such conditions, people would obey not out of freedom, but out of necessity.
Development in this type of world would focus almost exclusively on artificial intelligence and surveillance systems. Governments and institutions would rely heavily on technology not only to manage resources but also to track and predict populations. Life could be increasingly controlled, even in ordinary daily activity.
Over time, human behavior itself could begin to change. With constant systems, rules, and dependency, people can become less independent in thought and action, adapting instead to structured obedience. Not literally robots, but shaped by systems that leave little room for choice.
Unemployment, hunger and dependency would no longer be separate issues but rather connected parts of a single system. Machines would take care of production, while human life would be managed through access, control and restriction.
In that final picture, it's not just a question of whether AI takes jobs, but also what kind of world is built around it and whether humanity adapts in time to maintain its place within it. That's why it's important to think about the future.
Now, Open for Work: How to Advance in the Age of AI, written by Ryan Roslansky and Aneesh Raman, focuses on a different side of this same change. It's not just about job loss, but about how people remain relevant in a changing world of work.
A key idea of the book is that companies are no longer just “organizational charts”; They are becoming “work teams.” In the traditional model, people were placed in fixed roles and hierarchies. In the new model, work is divided into skills, tasks and projects. People are valued less for their jobs and more for what they can do.
This leads to the central solution of the book: adaptability through skills.
Rather than relying on the job role to define value, the focus is on identifying transferable skills. These include communication, problem solving, digital literacy, critical thinking, and the ability to work alongside artificial intelligence tools. The idea is that skills travel farther than job titles in an unstable labor market.
Second, continuous learning becomes essential, not optional.
The book emphasizes that the most stable workers will not be those who learned once but those who continue to learn repeatedly. This includes learning how AI tools work, how to use them in everyday tasks, and how to improve productivity through automation rather than resisting it. Learning is presented as a constant cycle rather than as a stage of life.
Third, work with AI instead of competing against it.
A central message is that AI is not only replacing tasks, but is also becoming a tool that enhances human capacity. The solution is to treat AI as a partner at work. For example, it can be used to write, analyze, plan or research, while humans focus on judgment, direction and meaning. The strongest position in the labor market of the future is described as “human plus AI”, non-human versus AI.
Fourth, visibility and connection are more important than ever.
The book highlights that opportunities increasingly arise through networks, not just applications. Platforms like LinkedIn become spaces where people show their skills, projects and learning path. Being “open to work” is not only a status but also a way to actively participate in the labor market by making one's capabilities visible and accessible.
Fifth, careers become non-linear.
Rather than expecting a job to lead to a long career path, the book describes a future in which people move between roles, industries and projects. Growth comes from flexibility rather than permanence. This means learning to adapt quickly when industries change, rather than sticking to a single trajectory.
Putting these ideas together, the solution the book offers is not a promise of job security in the old sense. It is a framework for survival and progress in a changing system:
- Develop skills that can move between jobs.
- Keep learning as technology changes.
- Use AI as a tool, not as an opponent.
- Stay visible on professional networks.
- Accept that work will change shape over time.
In simple terms, the message is that in the age of AI, stability will not come from staying in one place. It will come from being able to move forward with change.
This connects strongly to the broader concern about automation. While some fear losing their jobs, the book redirects attention to preparation and adaptation. He doesn't deny disruption, but he argues that those who understand how work is being reshaped will continue to find ways to stay active in the economy even as the structure of employment continues to evolve.
What do you think about AI now and what do you foresee for its future development and impact?
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