ManpowerGroup 2026: 82% of Indian employers struggle to fill roles and AI skills are now the hardest to find. Why building talent beats hiring it.
Key takeaways
- ManpowerGroup's 2026 Talent Shortage Survey, covering 3,051 Indian employers, found that 82% report difficulty filling roles, against a global average of 72% (CXOToday).
- For the first time, AI skills are the hardest to find in India, ahead of traditional engineering and IT. AI model and application development (39%) and AI literacy (38%) lead the list (IANS via Morung Express).
- Only 37% of employers say they are prioritising upskilling, while 35% are focused on widening access to new talent pools.
- Our reading: when everyone fishes in the same small pond, the cheaper and faster route is to grow talent inside the company, and to start with the skill that is easiest to build, AI literacy.
Last updated · Bodhih Insights team · reviewed by Siddharthan VGJ, Founder
The usual response is to widen the search. A more useful response is to ask a different question: what if the person you need is already on your payroll, and simply has not been trained yet?
A note on sources: figures come from trade and wire coverage of the ManpowerGroup survey. We have not reviewed the full report. The interpretation for training and L&D teams is our own.
The Number Behind the Headline
82% is not just a high number. It is a high number that moved the wrong way for India while the global figure eased from 74% to 72%.
Read that again. Hiring got slightly easier worldwide and harder in India. The reason is on the same list: demand for AI capability is rising faster than the supply of people who have it.
Notice also what sits at the top. AI literacy, not just advanced model-building, is the second most difficult skill to find (38%). Literacy is the ability to use AI sensibly in everyday work: framing a task, checking an output, knowing when not to trust it. That is not a rare research skill. It is a teachable one.
The Pond Problem
Imagine thousands of employers searching for the same small group of candidates. Three things follow:
- Salaries inflate. Candidates with the scarce skill can name their price.
- Retention gets harder. The person you hired at a premium is the target of the next recruiter.
- Time-to-fill stretches. Every vacant month is a project delayed.
Buying scarce talent is not wrong. But it is a strategy that gets more expensive the more companies copy it. Building talent is the only option that adds to the total supply instead of competing for it.
Why Building Feels Harder Than It Is
If building is better, why do only 37% of employers prioritise it? Three common reasons, each fixable:
- "We don't know who can learn what." True when skills are tracked only by job title. A short skill gap analysis or psychometric assessment shows potential and gaps person by person.
- "Training takes people away from work." Only when it is delivered as long generic courses. Role-based sessions followed by practice on live tasks fit inside the working week. (Our earlier look at the 3% hands-on training problem covers why format matters.)
- "They will leave once trained." Sometimes. But staff who are given no growth path leave too, and many who stay do so for lack of options. Visible development is a retention tool, not a leak.
A Practical Build-First Playbook
Try this before opening the next requisition.
- Write down the actual task, not the title. What will this person do in the first 90 days? Often it is narrower than the job description suggests.
- Scan internally first. Which current employees are one or two skills away from that task? Use an assessment to find them, not guesswork.
- Split the role. Many "AI roles" are really a mix of one scarce skill and several teachable ones. Hire for the scarce part only; train for the rest.
- Start with AI literacy for everyone in the function. It is the broadest, fastest-to-teach skill on the shortage list, and it makes your future specialist hires far more productive.
- Make the proof visible. Give people a way to demonstrate the new skill on real work, so managers can trust it. (This ties to the proof gap we wrote about recently.)
- Re-measure. After 90 days, compare time-to-productivity and open-role count against the hire-only approach.
How Bodhih Helps
Bodhih programmes are private, tailored to your teams and can be sequenced from diagnosis to practice.
- Skill Gap Analysis and Psychometric Assessments help you find who is closest to the skills you cannot hire.
- AI Literacy Training builds role-based, hands-on AI skills on your own work.
- Coaching for Managers equips leaders to develop internal talent and spot readiness.
- Train the Trainer lets your own experts pass skills on, so capability spreads beyond one workshop.
See how these combine on our corporate training solutions page.
The Bigger Idea
A talent shortage is really a statement about where companies look. With 82% of employers searching the market, the market is the most crowded place to look. The least crowded place is inside.
The organisations that do well in the next two years will not be those that won the bidding war for a handful of AI specialists. They will be those that quietly turned a hundred capable employees into confident AI users.
Frequently asked questions
What does the ManpowerGroup 2026 Talent Shortage Survey say about India?
It reports that 82% of 3,051 Indian employers have difficulty filling roles, compared with a 72% global average. AI skills are now the hardest to find, with AI model and application development at 39% and AI literacy at 38%.
Which skills are hardest to find in India in 2026?
According to the survey coverage, AI model and application development (39%) and AI literacy (38%) lead, followed by sales and marketing (24%), traditional IT and data skills (23%) and engineering (21%).
Is it better to hire or to upskill when talent is scarce?
Hiring competes for a fixed pool and tends to raise costs. Upskilling adds to your own supply. Most companies need both: hire for the truly rare skill, and train internally for skills that can be taught, such as AI literacy.
What is AI literacy and can it really be taught?
AI literacy is the practical ability to use AI tools in daily work: framing tasks, checking outputs and knowing the limits. Yes, it is teachable through hands-on, role-based practice on real tasks.
How do we find employees who can be upskilled into scarce roles?
Start with the real tasks of the role, then use skill gap analysis or psychometric assessments to identify current employees who are one or two skills away.
Where do the facts in this article come from?
From CXOToday and IANS via Morung Express, reporting on the ManpowerGroup survey. We have not reviewed the full report.
