In August 2024, Intel announced that it would cut 15,000 jobs, representing 15% of its workforce. Days later, Cisco announced 6,000 layoffs, about 8% of its total headcount. These weren’t small adjustments; these were massive restructurings from two of the oldest, most established companies in technology. Add in smaller cuts from AMD, Broadcom, and other infrastructure vendors, and the August 2024 tech layoff count topped 27,000 people in a single month.

Here’s what makes this different from the layoffs of 2022 and 2023: this time, the companies doing the cutting are explicitly stating what they’re cutting for. Intel is repositioning from a manufacturing and processor company toward AI and data center infrastructure. Cisco is pulling back from lower-margin networking hardware and doubling down on security software and cloud services. AMD is consolidating to focus on data center and AI chips. These aren’t companies cutting because they hired too many people during a speculative hiring boom; they’re companies cutting because they’re making calculated bets about where the value is moving in technology infrastructure.

If you’re working in IT infrastructure, this matters because these large companies’ bets are telling you something important about where the demand is actually going. Understanding how to read these signals could shape your next career move.

What the Cuts Actually Reveal About Where Value Is Moving

When Intel says it’s cutting 15,000 jobs, the cuts aren’t evenly distributed. Manufacturing is being hit hard. Product lines that are declining or unprofitable are being shut down. But AI and data center infrastructure are being protected and actually getting additional investment. Same story at Cisco: traditional networking businesses (switches, routers) are getting cut; security software and cloud services are getting funded.

This is industry-wide signal that the value in IT infrastructure is consolidating around a few core areas. Commodity hardware sales (the stuff that used to be the backbone of IT vendor revenue) is becoming a low-margin business as competition increases and cloud infrastructure providers commoditize more and more. The real value is moving toward specialized hardware (like GPUs and AI accelerators), security software, cloud services, and the software and services that sit on top of infrastructure.

What this means for IT professionals is that the roles tied to commodity infrastructure are becoming less valuable. If your entire skillset is around deploying and managing traditional networking hardware, or if you’re deep in x86 processor optimization but not connected to data center or AI workloads, you’re in a category of work that’s becoming less central to where companies are investing. That doesn’t mean those skills are worthless, but it does mean that the organizations investing heavily in new capabilities are increasingly elsewhere.

Conversely, the skills that are becoming more valuable are the ones that connect to security, AI infrastructure, cloud platforms, and the software layer. Security skills are in demand because every company is terrified of breaches, and that fear translates to budget. AI infrastructure skills are in demand because organizations know they need to build capability here but most don’t know how. Cloud skills are in demand because that’s where the infrastructure is being built. And application-layer software skills (not just as a developer, but as someone who understands how software runs on cloud infrastructure) are in demand because that’s where user-facing value is created.

Reading the Breadcrumbs: How Big Companies Signal What’s Coming

Companies like Intel and Cisco don’t make restructuring decisions in a vacuum. They have long-range strategic plans built around market forecasting, customer demand signals, and competitive positioning. When Intel decides to cut manufacturing and retool toward data center and AI chips, that decision is based on the conclusion that future demand for data center and AI infrastructure far exceeds demand for traditional processor lines.

Similarly, when Cisco shifts funding toward security software and cloud services, they’re saying “we believe companies will spend more on security software and cloud services than on traditional networking hardware.” These aren’t hunches; these are bets made with billions of dollars and supported by teams of analysts and strategists.

The implication for your career is that these big bets are actually useful information. If you look at where Intel and Cisco and other legacy vendors are moving, you’re seeing where demand will likely be concentrated in three to five years. Infrastructure vendors spend a lot of money on market research, and when they make billion-dollar restructuring decisions, they’re acting on conclusions about what the market wants. That’s better information than any analyst report.

This is how you read industry moves as career intelligence: look for which areas companies are actually increasing investment in (not just talking about, but actually funding with headcount and budget). Look at which areas they’re divesting or closing entirely. Listen to what executives say about the future, but pay more attention to which bets they’re backing with real money. And then ask yourself whether your current skillset positions you well in that future, or whether you need to start building skills in the areas companies are actually investing in.

The Specific Categories Where Hiring Is Concentrated

Based on the restructuring signals from companies like Intel and Cisco, the areas where IT hiring is actually concentrated right now are relatively clear.

First, AI infrastructure and data center engineering. This is jobs around building systems that can host, deploy, and serve AI models at scale. It’s not pure data science; it’s more about infrastructure engineering applied to AI workloads. GPU infrastructure, model serving systems, inference optimization, and the ops and reliability practices that keep these systems running. This is a real hiring category, and there are genuine shortages in this area.

Second, cloud infrastructure engineering, particularly at organizations other than the big cloud providers. Most organizations have moved workloads to AWS, Azure, or GCP, but someone still needs to manage, secure, and optimize those cloud environments. Cloud architects, cloud security engineers, and people who understand how to build reliable systems on top of cloud infrastructure are consistently in demand.

Third, security engineering at every level. Whether it’s endpoint security, cloud security, identity and access management, or application security, organizations are investing in security because the cost of not doing so has become unbearable. Security engineering can mean anything from building security tools to consulting on security practices to running a security operations center.

Fourth, data infrastructure and data engineering. This includes database work, data warehouse engineering, data pipeline management, and the kind of work that makes data accessible and reliable within an organization. Not every company needs a huge data science team, but almost every company that’s serious about AI or business intelligence needs solid data infrastructure.

Fifth, platform engineering and DevOps, especially when it’s connected to cloud or AI infrastructure. The glamour work of building AI models matters, but the unsexy infrastructure work of making models run reliably in production at scale is where most IT professionals actually spend their time. Organizations are hiring people who can build reliable, scalable, observable systems, regardless of what those systems are doing.

Notice what’s not on that list: traditional system administration, help desk support, or lower-level infrastructure work tied to on-premises data centers. Some of that work still exists, and some organizations still need it, but the big hiring push from high-growth companies and the explicit focus areas from large restructuring announcements are not in those categories.

What This Means If You’re in a Category Being Defunded

If your primary skillset is in an area that legacy IT vendors are defunding (traditional networking, on-premises infrastructure management, commodity hardware, etc.), the appropriate response isn’t to panic, but it is to recognize that the environment is shifting and that you probably need to build skills in adjacent areas that are more in demand.

The good news is that skills transfer more than you’d think. If you’re deep in networking, understanding cloud network architecture and how security applies to cloud environments is a natural next step. If you’ve spent years optimizing x86 systems, understanding GPU infrastructure and AI accelerators is learnable. If you manage on-premises infrastructure, cloud architecture and management is a logical progression. You’re not starting from zero; you’re extending existing knowledge into areas that are in higher demand.

The critical thing is to start now. The restructuring announcements in August 2024 are telling you that the shift is happening, and it will accelerate. Organizations that haven’t yet built out AI infrastructure capability, cloud security, or modern data infrastructure will increasingly do so over the next couple of years. Those organizations will be hiring people with those skills. The advantage goes to people who started building those skills when there was still runway before the demand hit peak velocity.

This is also an argument for being proactive about understanding where your organization is heading. If you work for a company that’s in the category being defunded (legacy hardware, declining IT infrastructure lines, etc.), you should be thinking about whether your company’s business is stable long-term. If it’s not, you don’t need to panic, but you do need to be thinking about your next move before the company’s business gets much tighter and hiring slows down.

The Role Stability Question

One thing layoffs and restructuring make visible is the question of role stability. If you’ve been in IT for a while, you’ve probably noticed that some types of roles are relatively stable even during downturns, while others are more vulnerable. Generally, roles that are directly connected to keeping systems secure and available tend to be more stable. Roles that are seen as optional or that have easier-to-replace skill sets tend to be more vulnerable.

Security roles are almost never on the first round of cuts because organizations can’t afford to cut security. Infrastructure roles that are critical to operations are usually protected. But consulting roles, planning roles, and roles where the value isn’t immediately visible to operational staff are more vulnerable.

This matters because it means that specializing in skills that are seen as mission-critical (security, infrastructure reliability, incident response) tends to provide more job stability than specializing in areas that are seen as strategic but not immediately operational (future planning, consulting, vendor relationships).

This doesn’t mean you should only care about stability. But if you’re choosing between two career paths and one is in an area being actively defunded and the other is in an area where companies can’t afford to cut, the job stability calculation probably favors the latter.

What You Should Actually Do

If you’re working in IT and you’re paying attention to these signals, your response should be pragmatic. Start by honestly assessing where your current skills sit relative to where hiring demand is concentrated. Are you in an area that’s in growth mode or in decline? Are your skills specific and hard to replace, or relatively generic and easily replaceable?

Based on that assessment, think about a realistic path to building skills that are in higher demand. This doesn’t necessarily mean a complete career pivot. It might mean learning a complementary skill (like cloud security if you’re already a security person, or AI infrastructure if you’re already in infrastructure). It might mean moving to a different team within your organization that’s working in an area with more growth potential. Or it might mean looking for opportunities at companies that are in growth phases rather than contraction.

The Intel and Cisco restructuring announcements are telling you where the smart money thinks the market is heading. They’re not perfect signals, and they’re not infallible, but they’re based on real market analysis and real capital allocation decisions. Using that information to shape your career decisions is being smart, not paranoid.

The companies doing well in tech right now are the ones solving real problems with AI and security and cloud infrastructure. The people doing well are the ones with skills that matter in those domains. The structural shifts announced in August 2024 are making that reality more visible, but it’s not a new trend; it’s an acceleration of a trend that’s been underway for a couple of years.

The people who will be frustrated in 2027 are the ones who saw these signals in 2024 and decided to stay comfortable in skills that were becoming less valuable. The people who will be doing well are the ones who started building new skills when there was still time and when demand was just starting to accelerate.

For more on making sense of the shifting IT job market, see The Great Tech Reckoning: What Mass Layoffs Mean for IT Careers and The Layoffs Aren’t Over: How to Stay Employable When the Cuts Keep Coming.