3 AI Workforce Gaps Killing Business Growth
AI is embedded in core business processes for 57% of organizations, according to Kyndryl’s 2026 People Readiness Report. But here’s the kicker: only 23% of those organizations actually consider their workforce fully ready for AI. That’s a six-point drop from 2025. This isn’t just a minor inconvenience; these AI workforce gaps are derailing projects, increasing operational risks, and costing businesses real money.
We’ve been deploying enterprise IT infrastructure for over 30 years—from structured cabling in the 90s to VoIP rollouts in the 2000s and cloud migrations in the 2010s. Now, AI chatbots and advanced analytics are the new frontier, and I’m seeing the same patterns of unpreparedness. Businesses are investing in the tech, but they’re forgetting the people who have to make it work.
Kyndryl’s report highlights that skills and talent gaps are the second-biggest obstacle to AI strategy execution, trailing only cybersecurity concerns. Think about that for a second. More than half of respondents in an ISC2 study named AI-powered social engineering attacks as their top cybersecurity challenge. So, you’ve got AI creating new security risks, and your team isn’t ready for the AI itself. It’s a double whammy.
The Automation Illusion: Why Network Admins Are Under Threat
For decades, network administrators were the backbone. They racked the servers, pulled the Cat5, configured the Cisco Catalyst switches, and managed the Active Directory domains. But automation is eating into these roles fast. Foote Partners reports traditional network administration roles are seeing declining pay premiums as AI and automation take hold. Level-1 NOC monitoring, basic network configuration, and manual security monitoring? Those tasks are getting automated by AIOps platforms like Splunk and ThousandEyes.
We saw this shift coming years ago. When we started integrating SD-WAN solutions, for example, the need for constant manual CLI configuration on every router diminished. Now, with generative AI and tools like CompTIA’s AutoOps+, that trend is accelerating. CompTIA’s new AutoOps+ certification validates skills in automation, scripting, infrastructure management, and DevOps. This isn’t just about making things faster; it’s about fundamentally changing what a “network admin” does. If your team is still spending half their day SSH’ing into individual devices to copy-paste configurations, you’re already behind.
The Wireless Talent Drain: AI’s Unexpected Cost
Here’s something nobody is talking about: AI is actively worsening the wireless talent shortage. Cisco research indicates that 86% of organizations struggle to hire wireless talent, and a key reason is that interest in AI is drawing skilled people away from networking roles. I’ve watched this play out for 30 years – the brightest minds gravitate to the “next big thing.” In the 90s, it was the internet. In the 2000s, it was VoIP. Today, it’s AI.
Wireless networks are getting more complex with Wi-Fi 6, Wi-Fi 7, and the proliferation of IoT devices, but the teams managing them are shrinking. This isn’t just an HR problem. It’s a major driver of operational risk and security exposure. Imagine a critical manufacturing floor running on a flaky Wi-Fi network because there’s no one on staff who truly understands RF propagation, 802.11 standards, or how to properly segment an industrial IoT network with Cisco Meraki. We’ve seen clients struggle with intermittent connectivity on their ERP terminals, leading to production halts, all because their wireless infrastructure wasn’t designed and maintained by someone with current, specialized knowledge.
So, what can you do today?
- Audit Your AI Readiness: Don’t just buy AI tools. Assess your team’s actual capabilities. Kyndryl says only 9% of organizations are “pacesetters” redesigning roles around AI and investing in workforce readiness. Be one of them.
- Invest in Automation & DevOps Training: Push your network and operations teams towards certifications like CompTIA AutoOps+ or even vendor-specific automation tracks from Cisco or AWS. Understanding Python scripting, Infrastructure as Code (IaC), and platforms like Ansible or Terraform is no longer optional. It’s how you keep your team valuable.
- Prioritize Cybersecurity with an AI Lens: With AI-powered social engineering and prompt injection attacks on the rise, your cybersecurity team needs specialized AI security training. Look into programs like CompTIA SecAI+ or Hack The Box’s AI penetration testing courses. Proactive defense requires understanding the new attack vectors.
- Stop Poaching, Start Growing: Uptime Institute warns that poaching talent is an unsustainable solution for the data center staffing crisis. The same applies to networking. Instead of trying to steal scarce wireless or AI talent, invest in upskilling your existing team. It’s more cost-effective and builds loyalty.
The future of your IT infrastructure depends on your human infrastructure. Ignoring these AI workforce gaps means falling behind, plain and simple.
Source: Network jobs watch: Hiring, skills and certification trends
