Last month, Amazon announced another massive layoff eliminating over 16,000 roles, and society yet again is challenged with looming questions. What happens next? How is it possible to sustain another job? Is anyone even hiring?
For a long time, the job market has always been volatile. Economic challenges like the recession decades ago made securing careers difficult, while the latest pandemic in 2020 proved just how unstable the workforce can be. Traditionally, getting jobs was never meant to be easy, and rising trends today have only emphasized this more.
In particular, the wide adoption of artificial intelligence has moved into many industries fast, and because of this, modern work has not looked the same. Executive leaders are spending billions of dollars to integrate the most relevant agents, while employees are relying on these intelligent machines to handle the day-to-day responsibilities. Somehow in a matter of a few years, human teams suddenly switched from each other to automated technology, and this growing demand has accelerated quickly.
AI holds immense potential, and it seems obvious why it has shifted work in beneficial ways. It makes tasks flow seamlessly from beginning to end. Computes results that not one singular person can do alone. Sifts through data that would otherwise take days. Uncovers where discrepancies lie and makes recommendations for optimization. As it shows, what AI can do is something the idea of work has needed for years.
At the same time, however, AI is the reason major tech giants like Amazon are making huge layoffs, and as a result, there is a widening gap between who succeeds in roles and who doesn’t. What Amazon’s decision reveals is that while AI is taking over, there needs to be a better strategy as far as how these tools are implemented, and how they actually make an impact in the long run.
As an expert in AI and a machine learning professional, Shomron Jacob understands firsthand why this reality is happening, and what can be done to scale AI responsibly. Rather than simply deploying AI and replacing human roles, companies need the talent, the training, and the education to ensure employees can keep up.
Fundamentally, that means putting a focus on AI fluency and building team members who can adapt holistically to the emerging technologies of today. When drastic layoffs happen, having the talent who can collaborate alongside automation, not against it, will be the key to retaining roles and strengthening the workforce as it stands right now.
When AI training becomes the focal point, the difference is incredibly significant. On one hand, automation becomes less of a fear and allows teams to see agents as another collaborator. They are able to enhance their work, expand their skill sets, and ultimately make themselves more valuable to the organization. AI literacy means understanding how the technology functions fully, where humans then step in to add judgement, intellect, and guidance where needed.
Jacob also points to another critical component, explaining that many companies often rush to adopt AI without first investing in the right people to use it. AI requires those who are analytical, conceptual, and practical, and without the right education behind it, companies risk creating more problems than actually solving. That is why technical skills are essential.
At a larger economic scale, Amazon is not the only one engaging in this momentum. A CBS news article reports that there were roughly 108,435 job cuts in the first month of the year, up 118% from the year-ago figures. If it was not clear, the stakes to improve the talent pool have never been higher.
Looking ahead, the future of work relies on the companies that are willing to make a drastic change. That is, change that keeps employees working but also equips them in alignment with AI technology.
While Amazon’s layoffs are a reminder that the workforce is always unpredictable, it presents a real opportunity to switch the culture. If people can grow with AI and not be displaced by it, perhaps there’s hope for a new kind of workforce.
