The new hiring playbook: Does counting years cost you top performers?

By: Suhani Tiwari

Imagine you are a leader hiring for a high-impact position. There are two candidates – one with the required years of experience in the ‘must-have’ skills, one without. The latter, however, has had a richly packed career, multiple roles and an impressive body of work from which they’ve learnt immensely fast. Their resume is full of evidence that they grasp new skills quickly and are capable problem solver. On paper we all know the answer if asked which you would pick. But the reality is, more often than not, this profile doesn’t reach you due to paper constraints of ‘eligibility’. 

Years of experience are a convenient proxy: easy to advertise, easy to screen. But tenure can no longer justify its place of prominence in the hiring decision checklist for a simple reason – predictive power. The skills landscape is now changing faster than we could have ever thought possible. Counting years could filter out the very people who are best equipped to deliver.

In today’s environment, problem statements organisations are addressing are changing exponentially. In this scenario, which is the right question to ask a candidate – “How did you do it?” or “How would you do it?” Do you now assess for a history of solving a problem or capability?

Numbers first.

Decades of industrial-organisational research show tenure is a weak predictor of future performance once basic competence is met. 

Research in personnel psychology finds that years of prior experience correlates only modestly with future job performance (around 0.18), with gains flattening after roughly five years. By contrast, general mental ability plus a structured interview or work sample is far more predictive. In plain English: what you can do (and how you think) beats how long you’ve been around. [1]

As per the World Economic Forum’s Future of Jobs Report (2025), “on average workers can expect that two-fifths (39%) of their existing skill sets will be transformed or become outdated over the 2025-2030 period.” This means employers need to continuously re-weigh talent for skills that matter.  We’re already seeing this come to fruition in 2025 to a great extent with AI being the fulcrum of change in organisations.

What predicts success now isn’t time served, but the ability and intent to learn faster than the tools change. Overemphasis on years of experience can quietly filter out high-potential, high-velocity candidates who can cultivate that ability quicker than their more seasoned peers.

Indian industry surveys estimate substantial productivity gains from GenAI but also highlight displacement and rapid role reshaping in 2025. A natural response to fast churn is doubling down on continuous upskilling programmes. Many leading authorities in this space cite a crucial caveat to investment in reskilling today’s workforce: rapid technical change — especially agentic and generative AI — can reorder tasks and entire job architectures faster than skill-mandate-based training programmes can be rolled out. In other words, skill inventories become stale faster than you can teach them.  Now and further on, flexibility, curiosity and lifelong learning are skills whose importance as complements to technical skills will keep increasing. [2]

So what do we hire for? Recent psychometric literature in 2025 confirms that cognitive measures and learning agility remain powerful predictors across knowledge-work roles [3]. Hire for a blend of intelligence and intent. ‘Intelligence’ here is cognitive capability – the capacity to reason under uncertainty, learn new abstractions, and generalise from first principles. Industry data corroborates its importance. In 2025, analytical thinking is the most sought-after core skill among employers. [2] ‘Intent’ is the stitched fabric of motivation, curiosity, and deliberate practice. Coming back to: hire smart, motivated people who can and want to learn faster than the tools change. 

Granted, there are some jobs where a certain background or experience is a compliance-based entry criterion. There are also certain professions where ‘experience’ gives a person invaluable tacit knowledge – such as a coach. The key is to separate these jobs explicitly and have the ‘experience’ / ‘minimum proficiency ’floor’-based hiring strategy continue, but not generalise this to all roles.

What do you do with the rest?

To start with, have a conversation on the following:

1. Replace hard cutoffs with capability statements. Don’t write “8+ years of Java”; write “can design and deliver end-to-end backend services, show architecture diagrams, and explain trade-offs in at least two delivered projects.” A capability bar is verifiable and future-facing. Granted, this would lead to teething issues with candidates – confusion on what roles are relevant and sourcing pipeline’s fatigue with filtering relevant profiles. But this is an opportunity to amplify the sourcing process and candidate communication using AI. Ask the right questions, have candidates produce hard evidence showing their thinking and navigate the sea of submitted profiles using everyone’s favourite buzzword – GenAI.
   
   

2. Invest in hiring for intelligence and intent. Interview for examples of rapid learning under pressure, deliberate practice, and evidence of curiosity (open-source contributions, internal redeployments, etc). These signals buy you resilience against skill obsolescence. Use validated predictors. Structured interviews, work samples, job-knowledge tests, and cognitive assessments—combined—predict performance far better than tenure alone. Build scorecards and, most importantly, train interviewers to align with this strategy. 
   
   

3. Utilise the ‘probation period’ for a thorough review process post joining. Recall the ‘verifiable capability bar’ mentioned above. The first six months of an employee’s tenure are the ‘learning curve’, and early indicators of productivity show up here. Hiring managers need to have a concrete book of work or learning requirements and assessment in place for this early period.  Incentivisation of infant attrition where early indicators suggest a mismatch between individual and job description can be a helpful assist in this strategy.

HR professionals today are creating efficiency gains for their teams using vibe coding for agentic AI enablement in people practices.  Would you have mentioned these as must-have skills for any HR opening even six months ago? How likely are you to find a candidate who has been an HR business partner for 15 years but also is well-versed with prompt engineering? Are these skills likely to show up on a resume together? No. Are these skills coexisting more and more today in the same individual because they are the need of the hour? Yes. The differentiator is which organisation selected HR professionals that were savvy and curious to keep exploring peripheral skills. That decision is paying up now.

Solutions for balancing compliance, skills, and adaptability in hiring are still evolving. But the evidence is already strong enough: organisations need to review and reframe their entry criteria and forward-looking talent plans – making way for a capable and agile workforce that is hired and trained for this agility.

References

[1] ResearchGate

[2] World Economic Forum Future of Jobs Report 2025

[3] Meta analysis on SAGE Journals

About the author: Suhani is an HR leader solving complex people challenges across HR business partnering, talent management, leadership development & workforce strategy. Her experience spans across service-and product-based organisations, where she has partnered with global leaders and managed global teams. She seeks out big-ticket challenges in talent strategy that shape how organisations prepare for the future of work. She enjoys engaging with the broader HR community—sharing experiences, writing, and speaking about what works (and what doesn’t) while building talent ecosystems in large, complex organisations.