Global technology spending is projected to reach $5.6 trillion in 2026, marking a 7.8% increase as generative artificial intelligence drives the surge. Forrester says nearly two-thirds of this investment will be directed towards software and computer equipment, particularly servers. Furthermore, the shift towards AI-driven technology is transforming the IT services landscape. Enterprises are focusing on AI talent, with job postings related to AI accounting for 20% of available tech roles in the U.S. By leveraging AI tools, firms like JPMorgan Chase have reported improved productivity and cost efficiencies in areas such as fraud detection. As a result, IT service providers are adapting their strategies to emphasize expertise in operationalizing AI rather than traditional headcount-driven models.
In January 2026, technology companies reduced their workforce by approximately 20,155 jobs, while job postings for tech positions surged by 13% compared to the previous month, according to analysis by CompTIA. CompTIA’s Vice President of Industry Research, Seth Robinson, noted that the increase in service employment could indicate a shift towards leveraging investments in software and hardware. Notably, telecommunications companies accounted for the majority of job losses, estimated at 15,000 positions.
Why do we care?
Enterprises are running a labor arbitrage scheme dressed up as AI transformation, and if you don’t see it, you’re about to get squeezed from both sides.
CompTIA’s January data shows service employment rising while tech occupation employment falls. One interpretation: buyers are shifting spend from permanent IT headcount to project-based execution—often via services firms and contractors—especially for AI initiatives. Another: the job mix is changing because vendors and telecoms are cutting, while implementation work spikes as companies deploy new software and infrastructure. If this is real, you’ll see it in three places: shorter contract terms at renewal, more carve-outs for ‘AI projects’ outside the agreement, and more client requests to staff named individuals temporarily instead of buying an SLA. If you’re not seeing those yet, treat this as a leading indicator—not a verdict.
Forrester says nearly two-thirds of spending is going to software and computer equipment—particularly servers—and explicitly links that to a greater reliance on cloud providers like AWS and Azure for complex workloads. That’s a strong signal that growth is shifting toward cloud ecosystems and AI infrastructure, where partners can be disintermediated unless they add value through services. Note: ‘servers’ can mean on-prem refresh or cloud-driven infrastructure demand; either way, the channel implication is the same—margin follows who controls the platform and consumption.
If you read this as “hire AI engineers to build client solutions,” you’ll burn cash on a low-margin body shop while offshore providers pitch the same services far below your cost. Use AI to cut your own cost first—start with ticket triage and documentation—then package the proven efficiency as a fixed-fee add-on.
Clients will demand AI-powered services while simultaneously pressuring your labor rates downward because “AI should make you more efficient.” If you don’t renegotiate contracts now—before they weaponize your automation against you at renewal—you’ll eat the cost reduction while they pocket the savings. Outcome-based pricing is the best defense: “If our AI reduces your ticket volume 30%, we split the labor savings 50/50.”
Are you building a business that uses AI to create margin, or are you becoming the displaced labor? Because the spending isn’t coming to you—it’s going around you unless you move now.