AI is changing the physics of digital infrastructure: bigger power demands, new operating models, faster product cycles—and a new kind of pressure on people.
At infra/STRUCTURE Summit, Innovorg CEO Elya McCleave sat down with Carrie Charles, the CEO of Broadstaff, on the latest episode of Let's Get Digital with Carrie Charles to unpack what many operators are experiencing firsthand: the infrastructure boom is real, but the skills boom is even bigger. (RCRTech)
This isn’t just a “training problem.” It’s a visibility problem, a prioritization problem, and in many organizations, a systems problem. The companies that win the next decade won’t just secure power and capacity—they’ll build the most adaptable workforce engine in the industry.
The top highlights and takeaways
1) The next infrastructure constraint is talent—at scale
The industry is moving fast, but workforce development isn’t keeping pace. In the episode, Elya describes a reality most leaders recognize: roles are expanding, tooling is multiplying, and expectations are rising — while experienced talent is aging out.
The result: critical roles stay open for months, competition intensifies, and retention becomes strategic — not HR-admin.
Analyst lens: When your hiring cycle is longer than your technology cycle, your only sustainable advantage is an internal capability engine.
2) “Skills catalogs” are becoming the operating system for workforce clarity
One of the most striking insights Elya shared is how dramatically role expectations have grown. Innovorg now sees ~150 skills per role on average, with some roles reaching 250 — nearly doubling from “typical” catalogs a few years ago.
That number isn’t the point. The point is what it signals:
- Rapid product/service expansion
- Increasing operational complexity
- More compliance, more tooling, more process
- And greater pressure on teams to “absorb innovation” continuously
Why this matters: If employees can’t clearly see what “good” looks like — what’s required vs. optional, foundational vs. advanced—upskilling becomes intimidating, inconsistent, and slow.
3) Upskilling is necessary—but it’s only part of the solution
The conversation is refreshingly pragmatic: upskilling/reskilling matters, but it won’t solve workforce shortages alone.
Elya calls out the bigger industry mandate: attract new entrants, modernize recruiting, and make the sector less “accidental” to discover. Too many professionals still say, “I fell into digital infrastructure.”
Opportunity: The sector needs clearer career narratives — what roles exist, what progression looks like, and how someone can enter from adjacent industries.
4) Career pathing is no longer a “nice-to-have” — it’s a retention infrastructure
The episode highlights a truth operators are learning the hard way: culture helps, but culture alone doesn’t stop poaching.
Career pathing works because it answers the two questions employees silently ask:
- Where can I go here?
- What do I need to learn to get there?
When those answers are visible — and tied to real skills gaps and learning experiences—retention stops being reactive and becomes designed.
5) The next wave: linking learning to business outcomes (and KPI impact)
One of Innovorg’s strongest differentiators in the conversation is the focus on connecting learning activity to business KPIs — moving beyond “training completed” to “impact delivered.”
That’s the shift the market is demanding: measurable outcomes, not learning theater.
Analyst lens: In an AI-driven infrastructure cycle, capability-building must be accountable to performance—because workforce readiness directly affects service quality, customer satisfaction, and revenue.
What this means for digital infrastructure leaders
Here’s the leadership takeaway: AI readiness starts with people readiness.
The companies building billion-dollar platforms are also building:
- Skills intelligence (role-to-skill clarity)
- Structured development paths (career mobility)
- Scalable learning systems (adaptive + AI-enabled)
- Operational proof (learning tied to outcomes)
This is how teams keep up when technology outpaces org design.
Closing
The AI infrastructure boom is accelerating. But the winners won’t simply be the companies with the most megawatts or the fastest builds.
They’ll be the ones who operationalize talent development as a core infrastructure strategy — systematized, measurable, and built to scale.
Watch the full conversation here: (YouTube link)
Learn more about Let's Get Digital Podcast: (RCRTech)