06 March 2026
In the middle of a chronic IT skills shortage, most organisations are still hiring like it’s 2015.
Roles are approved when projects stall. Job titles are dusted off from outdated frameworks. Recruiters are briefed at the point of panic — not strategy.
The result is a familiar cycle: inflated salaries, rushed appointments, fragile teams and a slow accumulation of technical debt — not just in architecture, but in capability.
In today’s market, the challenge is no longer finding people quickly. It is building a talent pipeline that scales before things break.
From reactive hiring to real pipelines
For Michael Aspinall, Senior Account Director at First Point Group, the defining feature of scalable pipelines is timing.
“Effective pipelines are built well in advance, not in response to delivery pressure,” he says. “They are grounded in a clear understanding of real skills and capabilities rather than inflated or outdated job titles.”
That distinction matters. As platforms evolve and roles blur, job titles have become increasingly unreliable proxies for capability. Two “cloud engineers” may share a label — and almost nothing else.
The strongest pipelines, Aspinall argues, are deliberately blended. Permanent hires provide continuity. Contractors inject speed and niche expertise. Project-based talent absorbs peaks without distorting long-term structures.
Equally important is where organisations look.
“Geographically diverse pipelines and talent drawn from adjacent industries are now essential,” he says. “Ongoing talent mapping and market intelligence allow organisations to hire ahead of demand rather than chase it.”
In other words: stop fishing in the same shrinking pond — and start planning before the water runs out.
The hardest skills to secure
Not all shortages are created equal. The most difficult roles to pipeline at scale are no longer entry-level developers or generalists, but senior specialists with real-world operational scars.
“Platform and cloud engineers with exposure to large-scale, mission-critical infrastructure remain in particularly short supply,” Aspinall notes. “In cybersecurity, the biggest gaps sit where technical risk must be translated into commercial decision-making.”
Data and AI have shifted too. Demand is moving away from pure data science towards engineering, deployment and governance — narrowing talent pools that were already thin.
Meanwhile, emerging roles in AI infrastructure and MLOps are evolving faster than universities, training programmes and employers can respond.
The uncomfortable implication? Short-term hiring plans are obsolete.
“In practice, organisations need to be planning 18 to 36 months ahead,” says Aspinall, “combining long-term pipelining with access to specialist contract capability.”
For leaders still planning quarter by quarter, that timeline lands somewhere between inconvenient and existential.



