Your Job Title Is Expiring
Why the next professional identity should be built around demonstrated capability.
Ask someone what they do, and they will probably give you a title.
Designer. Manager. Software Engineer. Data Scientist.
We have learned to treat these labels as explanations. A title tells people where to place us, what to expect from us, and which opportunities might belong to us.
But a title can remain unchanged while the work behind it changes dramatically.
An engineer may spend less time developing models and more time connecting them to business systems. A designer may move between research, interface design, AI-assisted production, and product experimentation. A manager may become responsible for coordinating people, automated workflows, and decisions that require human approval.
These examples illustrate a growing problem: the label can become a weaker description of the contribution.
Your job title may still appear on your contract.
Its ability to explain your value may already be expiring.
The Gap Between the Title and the Work
Andela’s 2026 research analyzed 47,101 Fortune 500 software job postings. Within a subset of 1,832 postings whose titles named relevant established roles, chiefly AI Engineer and ML Engineer, 53% contained at least two skills from the studied bundle associated with different established roles.
That finding needs context. It comes from a five-week snapshot and depends on Andela’s skill classification. It does not establish that 53% of all AI jobs are incorrectly named, or that job titles are disappearing.
It does reveal a meaningful mismatch: familiar titles can conceal combinations of capabilities that cross established professional boundaries.
The implication for professional identity is our interpretation of that finding. If employers describe new combinations of work through old categories, a person’s title alone becomes a less reliable guide to what they can contribute.
Two candidates called AI Engineer may have very different strengths. One may specialize in model training. Another may build applications using existing models. A third may be strongest at evaluating those applications and maintaining their reliability.
The shared title makes them look comparable before the evidence shows whether they are.
Why Titles Became So Powerful
Job titles solve real coordination problems.
They help organizations structure teams, assign responsibilities, establish reporting lines, and communicate seniority. They also give professionals a recognizable way to describe their careers.
The difficulty begins when we ask a title to prove more than it can.
A title records an organizational designation. It does not independently verify expertise, judgment, or results.
“Senior” does not tell us which difficult decisions someone can make. “Manager” does not establish whether someone can lead a team through uncertainty. “Designer” does not explain whether someone can discover a user problem, produce an effective interface, or measure what changed after launch.
We often use these labels as shortcuts because examining capability takes more effort.
That shortcut becomes less useful when the same label covers increasingly different work.
AI Makes the Limits Easier to See
AI brings this problem into sharper focus because using a tool and owning an outcome are different forms of capability.
A person may be able to generate code without being able to diagnose a production failure. They may produce a polished design without understanding the users it must serve. They may summarize a dataset without recognizing that the underlying sample is misleading.
An impressive output can be evidence of useful tool use. It cannot, by itself, tell us how much the person understood, which decisions they made, or whether they could repeat the result under different conditions.
This makes the professional question more demanding:
What can you reliably accomplish, and what evidence supports that claim?
The answer requires more than a title and more than a list of software tools.
It requires an account of the person’s contribution.
From Job Identity to Skill Identity
Job Identity begins with the position someone occupies.
Skill Identity begins with the capabilities they can demonstrate.
Here, Skill Identity means a professional profile that connects skills to their application, context, and evidence. It should show what someone can do, the conditions in which they have done it, and how their contribution was assessed.
Consider the difference between these two descriptions:
“I am a Product Designer.”
“I can investigate a user problem, translate findings into an interface, test competing solutions, and explain the evidence behind a design decision.”
The title remains useful. The second description makes the capability inspectable.
The same applies to management.
“I am a Project Manager” names a role.
“I can coordinate dependencies across teams, identify delivery risks, negotiate priorities, and document decisions when requirements change” explains a potential contribution.
These are still claims until they are supported. Skill Identity becomes valuable when it connects those claims to credible evidence.
A Skill List Is Only the Beginning
Replacing a title with twenty skill tags does not solve the problem.
“Leadership,” “Python,” “AI,” and “communication” are broad labels. Without context, they can reproduce the ambiguity of job titles at a smaller scale.
A useful capability record should answer several questions:
- What did the person actually do?
- How complex was the task?
- How independently did they work?
- Which tools, people, or systems supported them?
- What evidence was reviewed, and by whom?
- How recent and relevant is that evidence?
A training certificate may show completion of a course. A structured assessment may show performance on a defined task. A reviewed work contribution may show successful application in a particular setting.
Each can be useful, but each supports a different conclusion.
The credibility of Skill Identity depends on preserving those distinctions.
Capability Has a Context
Someone who can produce an AI prototype is not automatically ready to maintain a system handling sensitive business data.
Someone who has led a small internal project may have relevant leadership experience without having demonstrated the ability to manage a much larger program.
Someone who communicates effectively with specialists may still need practice explaining the same subject to customers.
Recognizing these boundaries makes a profile more trustworthy.
A credible skill claim should describe its scope rather than imply universal mastery. Where evidence is limited, the limitation should remain visible.
This also creates a better foundation for development. Instead of asking a professional to become vaguely “more senior,” an organization can identify the next capability they need to demonstrate.
Progress becomes something people can explain and substantiate.
What Employers Should Change
Employers can start by defining the work before selecting the title.
What outcome must this person deliver? Which decisions will they own? Which capabilities are essential on day one? Which can be learned with support?
For an AI application role, the answers might include integrating business data, evaluating model behavior, controlling access, monitoring costs, and deciding when a human must review an output.
That description gives recruiters and candidates a clearer basis for discussion than the title alone.
Assessment should follow the same logic. If a capability matters, the hiring process should provide a proportionate way to demonstrate it. A structured interview, a bounded work sample, or a review of prior contributions may be appropriate, depending on the role.
Requiring evidence should not become an excuse for unpaid production work or excessive testing. Employers also need to recognize that access to prestigious projects is uneven.
A fair approach allows multiple ways to demonstrate the relevant capability and makes the assessment criteria clear.
What Professionals Can Build Now
For professionals, the practical starting point is to document contributions with enough detail to make them understandable.
Record the problem, your role, the decisions you made, the tools and assistance you used, and the result. Keep evidence where confidentiality permits, and seek feedback that explains what was assessed.
This creates a professional story that can travel across titles.
A customer support specialist who repeatedly diagnoses product problems and improves documentation may have evidence relevant to other roles. A developer who evaluates AI outputs and designs escalation rules may have capabilities that a conventional software title does not fully express.
Those possibilities still need to be assessed against the requirements of the next role. But they become easier to explore when the evidence is visible.
The Pexelle Perspective: Make Capability Legible
For Pexelle, Skill Identity offers a useful direction for thinking about professional trust.
The central challenge is making a capability claim clear enough to evaluate and credible enough to use in a decision.
A skill card or badge is most meaningful when it communicates what was demonstrated, how it was assessed, and the boundaries of the claim. Its value comes from the evidence and assessment behind it.
A professional identity built this way could help people carry recognition across employers, projects, and changes in role. It could also help employers discover candidates whose relevant strengths are hidden by unfamiliar titles.
That is the opportunity: make contribution easier to understand, and recognition easier to justify.
Your Title Can Change Without Erasing Your Value
Job titles will continue to matter. Organizations need roles, responsibilities, and accountability.
But a role should not be the only language through which someone’s capability becomes visible.
A stronger professional identity can preserve what a person has demonstrated even when their title changes, their industry evolves, or their next opportunity falls outside a familiar category.
The future proposed here is one in which a title opens the conversation and evidence gives it substance.
Your title tells people where you sit.
Your Skill Identity should help them understand what they can trust you to do.
Source : Medium.com




