Marco Gaietti brings decades of high-level management consulting experience to the table, having guided some of the world’s most complex organizations through periods of extreme volatility. As the tech landscape shifts dramatically under the influence of automation, Marco provides a grounded perspective on why companies are letting go of thousands of workers while simultaneously funneling billions into new technology. This conversation moves past the corporate buzzwords to examine how over 120,000 job losses are reshaping the very foundations of the corporate ladder and what leaders must do to maintain trust in an era of rapid technological displacement.
How do you view the massive scale of these recent tech layoffs, especially considering that nearly 77,000 of them are being directly attributed to AI?
It is a sobering figure to see 127,998 tech sector employees lose their jobs since the start of 2026, and seeing roughly 60% of that attributed to AI adoption confirms a massive shift in corporate strategy. While the number of 76,979 cuts specifically linked to AI investment and automation infrastructure is high, we have to look deeper than the headlines to see the emotional weight these decisions carry for the workforce. Many of these organizations are using artificial intelligence as a defining narrative to justify what is essentially a total overhaul of their operational models. It is not just about a robot replacing a human; it is about a fundamental reassessment of how value is created, often leaving long-time employees feeling like the ground is shifting beneath their feet while companies blame “economic headwinds” to soften the blow.
When companies cite “AI restructuring” as a reason for these cuts, what are they actually changing within their day-to-day operations?
In my experience, the restructuring is taking a very surgical approach to specific business functions like customer support, basic coding, moderation, and back-office tasks. We are seeing a genuine reshaping of workflows where AI can handle the repetitive, high-volume work that used to require entire operational layers of human staff. However, there is a bit of a strategic mask being worn here; companies are using this narrative to justify large-scale cost reductions even while they pour money into cloud and automation infrastructure. It creates a tense environment where employees see massive investments in “tools” while their colleagues are being walked out the door, making it a very delicate balancing act for management.
The move toward specialized teams over junior-heavy workforces seems like a radical change. How does this affect the talent pyramid?
The talent pyramid we have known for decades is essentially being inverted or at least heavily compressed, moving away from large pools of entry-level workers in favor of more specialized teams. By reducing the reliance on junior-heavy workforces, companies are prioritizing a few highly skilled specialists in areas like cybersecurity and AI over hundreds of generalists. This creates a terrifying gap in the early-career hiring pipeline, which makes me worry about where the next generation of leaders will come from if the bottom rungs of the ladder are removed. HR leaders are now forced to rethink succession planning entirely because the traditional path from “junior” to “expert” is being disrupted by automated systems that handle the basic tasks where people used to learn the ropes.
Given the tension between laying people off and hiring for specialized roles, what is the best way for HR leaders to handle the challenge of reskilling versus hiring from the outside?
Maintaining trust when you are letting people go with one hand and hiring high-priced specialists with the other is one of the toughest jobs in the executive suite right now. HR leaders need to focus heavily on internal mobility and reskilling rather than just looking for outside talent to fill those high-skilled technical gaps in AI and cloud infrastructure. If the current workforce sees that there are no AI-focused career paths available to them, the sense of displacement becomes a permanent scar on the company culture. We have to revisit job architecture and compensation structures so that loyal employees have a fighting chance to transition into these evolving roles instead of being treated as obsolete components.
What is your forecast for the tech job market?
I expect we will see a period of intense skill-shuffling where the sheer volume of layoffs eventually stabilizes, but the requirements for remaining in the sector become much more demanding. The focus will shift entirely toward those who can manage AI infrastructure and cybersecurity, leaving those with traditional, manual digital skills in a very difficult position. Ultimately, the companies that thrive will not just be the ones with the best automation, but the ones that managed to keep their human talent engaged through the transition. We are moving toward a leaner, more technical workforce, but the human element of judgment and complex problem-solving will become more valuable than ever as basic execution is handed off to machines.
