The hidden cost of hiring bias: how excluding talent shrinks the economy

Refusing to hire someone because of a mental illness, disability or age is not only morally wrong — it's an economic mistake that narrows your company's options, raises costs and, at scale, reduces national output. The Australian HR Institute's recent survey makes that mistake painfully visible: many employers admit they exclude whole groups of capable applicants before they've even seen a résumé.

"It is not from the benevolence of the butcher, the brewer, or the baker that we expect our dinner, but from their regard to their own interest." — Adam Smith

What the survey found — fast facts

The Australian HR Institute (AHRI) asked more than 600 senior HR decision‑makers and business leaders whether they excluded applicants for particular reasons. The headline numbers are stark: a large share of employers admit to excluding people before the hiring process has a chance to evaluate their skills.

Excluded group	Share of employers excluding (%)
Any of the listed groups (aggregate)	70
Applicants with a mental illness	33
Applicants with a long-term illness	29
Applicants with a disability or aged 55+	19

Two ways economists explain discrimination

Economists separate reasons firms exclude people into two broad theories. One is rooted in personal tastes; the other in imperfect information. Both matter — and both carry different policy and business remedies.

Info

Taste-based discrimination — when a decision‑maker prefers not to work with members of a group for non‑economic reasons (prejudice). Statistical discrimination — when employers use group averages or stereotypes as a shortcut because they lack information about an individual applicant’s skills.

Why does the distinction matter? If discrimination is taste‑based, it's a preference problem: employers willingly accept a cost (lower profits, worse matches) to avoid hiring certain groups. If it’s statistical, the fix is information: better testing, structured interviews and blind hiring can reduce the shortcut.

How excluding people translates into lower output

A simple production idea explains the mechanics. Output depends on capital and labour; reduce the effective labour pool and, holding capital constant, output falls. The loss isn't just symbolic — it shows up in missed innovations, higher vacancy costs and weaker teams.

Y = A \cdot F(K, L)

In that formula Y is total output (GDP or firm revenue), K is capital (machines, software), L is labour (people, hours) and A captures productivity from technology and organization. Excluding eligible workers reduces L or the effective productivity of L — which lowers Y unless other inputs compensate.

Costs employers might miss

Smaller talent pool: fewer candidates means worse matches and longer vacancies, which cost money.
Higher turnover and retraining costs: homogenous hiring can increase churn if cultural fit is mismeasured.
Innovation loss: diverse teams tend to solve problems differently — reducing diversity narrows ideas.
Legal and reputational risk: in Australia it is illegal to ask about some health conditions during recruitment; exclusion risks litigation and public backlash.
Signal distortion: excluding groups can create adverse selection, where the remaining pool is not representative of the market's top performers.

Warning

AHRI notes it is illegal in Australia to ask about certain health conditions during recruitment. Basing hiring decisions on information employers are not permitted to obtain creates legal risk and ethical problems.

A short example: why a 19% exclusion rate matters

Think in simple terms. If a sector informally rules out roughly one in five qualified people (the 19% figure for disability/age in the AHRI survey), that sector loses access to 20% of potential hires. Even if only a fraction of those excluded were high performers, the expected quality of hires declines and vacancy durations rise. For firms competing on talent, those delays translate into slower project delivery and higher recruiting bills.

Fixes that work — for firms and policymakers

Blind screening or skills tests to reduce statistical shortcuts.
Structured interviews and rubrics to lower subjective bias.
Reasonable adjustments (e.g., flexible assessment formats) to include neurodivergent candidates.
Tracking hiring funnels by demographic groups so bias can be measured and addressed.
Clear legal and HR guidance: ensure recruiters know what questions are unlawful and why.

Tip

If you’re a jobseeker concerned about bias: focus on skills-based portfolios, short practical assessments, and request reasonable adjustments when interviews are scheduled.

Key takeaways

The AHRI survey shows many employers admit to excluding candidates with mental illness, long‑term illness, disability or older age — a striking and troubling set of responses.
Economists split explanations into taste‑based (prejudice) and statistical (information shortcuts); each implies different remedies.
Excluding people shrinks the talent pool, raises hiring costs, and can lower firm output — effects that aggregate into measurable economic loss.
Practical steps — blind screening, structured interviews and legal clarity — reduce bias and improve matches.
For employers, diversity is not just an ethical imperative: it's an efficiency opportunity. For policymakers, enforcement and better hiring standards can recover lost economic potential.