I recently read an article from Computerworld that caught my attention: “As AI Redefines Work, U.S. Employers Cut Jobs and Remain Cautious in Hiring.” According to this article, private companies in the U.S. cut about 32,000 jobs in September, reinforcing a cautious hiring landscape even as AI advances strongly.
About the Article
- Despite the enthusiasm for AI, many employers are adopting a conservative stance on recruitment and are cutting positions before hiring new ones.
- There is a sense of “wait and see,” adopting internal technologies, restructuring, and only then expanding the team.
- The risk is real: certain repetitive or mid-level roles are under threat.
- But it also highlights that AI will not just be a destroyer: it will redesign roles, demand new skills, and generate new work demands.
My Opinion on AI
1. AI is here to help (and not completely replace)
I am very skeptical of the stigma of the big bad AI like Skynet (Terminator) or The Architect (Matrix). I believe that those who see AI as a collaborative tool will gain an advantage. Some will use it well, leveraging productivity and quality. Others, unfortunately, will fall into the “ask-copy-paste” pattern (this expression is mine and no one can steal it!), using AI as cognitive laziness, and this will impoverish critical thinking. In fact, I have already written about this in the article Artificial Intelligence or cognitive dumbness?
2. Jobs will be eliminated, but many new ones will emerge
In 1990, I was starting my business administration course at PUC/SP. And I remember that in the very first year, there was already talk of lost professions vs. new professions. And now, it won’t be (in fact, it isn’t being) any different. Some routine functions (data entry, exhaustive manual processes – I won’t name professions to avoid causing a stir) tend to disappear. But opportunities with higher remuneration will arise in AI architecture, security, model explainability, data curation, algorithmic ethics, etc.
3. The differentiator will be an adaptive mindset
It won’t just be having technical skills with AI that will make someone stand out, but rather the mindset of learning, evolving, and applying AI strategically and contextually. Those who stagnate will be left behind.
4. Gradual and hybrid transition
Not everything will be replaced overnight. There will be hybrid phases: humans + AI working together, digital co-pilots, human supervision — especially in critical functions where errors are costly.
5. Education and reskilling are urgent
Companies, governments, and professionals need to invest in continuous education: courses on ML, ethics, interpretation of results. Those who ignore this will be left behind.
The news of job cuts is scary, but it doesn’t convince me that AI is our enemy. On the contrary: it is a powerful tool in the hands of those who know how to think strategically. Yes, there will be losses! But there will also be leaps. New roles, new professions, new values. Those who embrace this transformation with curiosity, ethics, and proactivity will lead the future.
Article Source: Computerworld, “As AI Redefines Work, U.S. Employers Cut Jobs and Remain Cautious in Hiring”
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