Artificial intelligence is changing the workforce faster than most job descriptions can keep up.
Organizations are investing in AI platforms, automating processes and redesigning workflows. At the same time, hiring managers are asking for candidates with AI experience across technology, marketing, finance, operations, analytics and other functions.
But there is a growing challenge hiding behind that demand:
Do organizations actually know which AI skills they need?
For contingent workforce leaders, this question has significant implications.
If organizations define roles using outdated job titles, overly broad AI requirements or credentials that don’t reflect actual capabilities, they risk competing for scarce talent they may not need while overlooking candidates who already possess the skills required to perform the work.
The AI skills gap may therefore be partly a talent shortage.
But it is also a skills-definition problem.
AI Skills Are Moving Beyond Technology Roles
AI capability is no longer confined to machine learning engineers and data scientists.
Organizations increasingly need employees and contingent professionals who can use AI effectively within their existing disciplines.
A marketer may need AI-assisted content and analytics skills.
A financial analyst may need to work with AI-enabled forecasting.
A recruiter may need to understand AI matching and sourcing.
An engineer may need AI-assisted development capabilities.
That creates an important distinction between building AI and working effectively with AI.
Not every role needs advanced machine learning expertise.
Many roles need professionals who understand their discipline deeply enough to use AI responsibly and effectively within it.
Job Titles Are Becoming Less Useful
Traditional recruiting often begins with titles.
But emerging skills rarely fit neatly into established titles.
Two candidates with the same job title may have dramatically different AI capabilities.
Meanwhile, someone whose title contains no reference to artificial intelligence may be using AI every day.
This is why skills-based hiring is becoming increasingly important.
Instead of asking:
Has this person held the exact title before?
Organizations should increasingly ask:
Does this person possess the combination of technical, functional and human skills required to perform the work?
AI Is Increasing the Value of Human Skills Too
One of the most interesting developments in the AI workforce is that demand is not shifting exclusively toward technical capability.
As automation handles more routine tasks, human capabilities such as judgment, problem-solving, communication, leadership, creativity and contextual understanding become increasingly important.
The strongest candidate may therefore not be the person with the longest list of AI tools on a resume.
It may be the person who understands when to use AI, how to evaluate its output, and when human judgment should override it.
The Problem With the “Perfect Candidate”
When a skill is new, hiring requirements can quickly become unrealistic.
Organizations sometimes create job descriptions requiring combinations of emerging skills, extensive years of experience and highly specific credentials that few candidates could reasonably possess.
The result is a search for a candidate who may barely exist.
That creates:
- Longer time-to-fill
- Higher compensation expectations
- Smaller talent pools
- Increased competition
- Missed transferable talent
Workforce leaders should challenge whether every requirement is genuinely necessary.
Skills Intelligence Can Change the Search
Modern AI matching technology can help organizations move beyond titles and keywords.
Platforms such as Opptly can use Skills Intelligence and contextual matching to understand relationships among skills and identify candidates whose capabilities align with the work even when their titles or resume language differ.
This creates an opportunity to uncover adjacent and transferable talent. Technology can help organizations understand what skills candidates possess. Human recruiters and talent curators still need to validate how effectively those skills can be applied.
That combination is particularly valuable when skills are evolving quickly.
Build, Buy or Borrow?
Not every skills gap should result in a permanent hire.
Organizations should consider three strategies:
Build
Upskill existing employees when the underlying functional knowledge already exists and the new capability can reasonably be developed.
Buy
Hire permanent talent when the capability is strategically important and represents an ongoing organizational need.
Borrow
Use contingent workers, independent experts or specialized project talent when the skill is urgently needed, highly specialized or required for a defined period.
For many organizations, the most effective strategy will involve all three.
This is where contingent talent becomes an important component of AI workforce planning.
Five Questions Workforce Leaders Should Ask
Before opening another AI-related requisition, consider:
- What work actually needs to be performed?
- Which AI capabilities are genuinely required?
- Which adjacent or transferable skills could qualify someone?
- Does this capability need to exist permanently inside the organization?
- Are we assessing demonstrated skills or simply screening for credentials?
Those questions can significantly expand the available talent pool.
Final Thoughts
The AI skills gap is real, but organizations should be careful not to define it too narrowly.
The workforce of the future will need technical AI expertise.
It will also need professionals across virtually every discipline who understand how to work effectively alongside AI.
The organizations that compete most successfully for talent will stop searching exclusively for perfect titles and begin understanding the capabilities required to accomplish the work.
In a rapidly changing skills market, knowing what to hire for may become just as important as knowing where to find it.
Want to Learn More?
ICON helps enterprise organizations access specialized talent through staffing, direct sourcing, talent curation and flexible contingent workforce solutions.
Contact ICON to learn more about developing a skills-based talent strategy for your evolving workforce needs.
Disclaimer:
This content is provided for general informational purposes only and does not constitute professional HR, staffing, or workforce management advice. Contingent workforce strategies may vary based on organizational structure, industry needs, and regulatory requirements. Organizations should assess their specific circumstances and consult qualified professionals before implementing any contingent talent or workforce ecosystem model.