Let me start with an honest admission. When I first read the Apprenticeship Act, 1961, my first thought was: this is a law that belongs to a different era. And then I came across research from Kellogg School of Management asking whether apprentices are an ‘endangered species’ – and suddenly the two clicked together in a way I couldn’t ignore.
Because here’s the thing. India passed this law sixty-four years ago to solve a very specific problem: how do you get industry to train young workers? The answer the law landed on was essentially a deal. The apprentice gives you cheap, obedient labour. You give them skills. Simple exchange. Centuries old. And now, AI is walking into that room and saying – I’ll do the cheap labour part. For free.
The currency that apprentices use to buy knowledge from their masters is vanishing – and the Apprenticeship Act 1961 has no answer for that.
The Act’s Cracks – Before We Even Get to AI
The Apprenticeship Act mandates that establishments above a certain size must engage apprentices in designated trades. On paper – solid framework. In practice? Persistent cracks that no amendment has fully sealed.
1. The Compliance Problem Is Embarrassing
The penalty provisions under Section 30 are so weak – fines set in the 1960s and barely revised – that non-compliance is genuinely more attractive than compliance. Walk into most large manufacturing companies and ask the CHRO what their apprenticeship intake number is. They’ll tell you immediately. Ask them what percentage were absorbed, what skills they actually developed, whether the curriculum changed in the last three years. Silence.
2. The ‘Designated Trades’ Trap
The original Act was built around a rigid list – fitter, welder, electrician, turner. Very manufacturing-floor stuff. The 2014 and 2019 amendments introduced ‘optional trades’ and let private sectors define their own apprenticeship roles, but we’re still largely operating with a framework designed for the Nehruvian era of heavy industry, not a digital economy.
3. The Stipend Structure Is Stuck in Time
Apprentices are paid a percentage of minimum wage, which sounds fair until you realise the actual amounts are so low that in many states, an apprentice barely covers commute costs. An informal daily wage worker often earns more – with zero skill transfer. That undercuts the entire incentive for a young person to formally enter an apprenticeship.
4. The Master-Apprentice Relationship Is Poorly Defined
The Act creates legal obligations but does almost nothing to ensure quality of training. An employer can technically ‘engage’ an apprentice, have them run errands, do data entry, sweep the floor – and still be in full legal compliance. There is no meaningful audit of whether actual skill transfer is happening.
Now Enter AI – And It Hits Differently
Research by Luis Rayo (Kellogg School) and Luis Garicano (LSE) builds a mathematical model of what happens when AI enters the apprentice-master relationship. The core insight is sharp:
‘Now that AI does that work essentially for free, the currency that apprentices are using to buy knowledge is vanishing.’ – Prof. Luis Rayo, Kellogg School of Management
The traditional deal was this: the master trains you, you do the menial work at below-market pay. That menial work was the apprentice’s bargaining chip. AI has just devalued that chip. Dramatically. But the researchers also identify a counter-force. AI raises the ceiling for what a well-trained apprentice can achieve. When AI handles the routine, an advanced apprentice – properly trained – can do far more sophisticated work. The question becomes: which effect wins? The shrinking floor or the rising ceiling?
For India’s manufacturing sector, this plays out very differently across trade types.
The Three-Tier Reality for Indian Manufacturing
- Tier 1 – AI-Assisted Trades (CNC programming, quality inspection, logistics coordination) – The ceiling is rising. These apprentices, if trained right, can now do more sophisticated work with AI augmentation. The CHRO’s job is to ensure training actually reaches that ceiling, not the floor.
- Tier 2 – Physically Embodied Trades (welding, fabrication, tool making, traditional craft) – AI is not replacing these in any near-term horizon. Apprenticeship here is still fully alive. Invest in it deeply, not just manage it for compliance.
- Tier 3 – Hybrid Roles (maintenance technicians, process supervisors, production planners) – These people increasingly need to interpret AI-generated outputs and make physical interventions. Their apprenticeship needs the most careful redesign – both hands-on and analytically rigorous.
What CHROs Must Actually Do
Own Apprenticeship as a Talent Pipeline – Not a Compliance Box
The moment apprenticeship sits with your legal or admin team, it dies as a meaningful programme. CHROs need to personally own it as a strategic talent pipeline. The Kellogg insight is practical here – redesign what the apprentice’s ‘currency’ actually is. It’s no longer just cheap hands. It has to be learning agility: the ability to work alongside AI-assisted systems, catch errors, interpret sensor data, make contextual judgments that a machine can’t.
Build Shadow Curricula – Don’t Wait for BOAT
The Board of Apprenticeship Training moves slowly. Progressive CHROs should build internal training structures that run alongside the mandated NATS/BOAT syllabus. The formal qualification stays BOAT-certified. The actual content inside the plant – co-designed by your L&D team – includes reading IoT dashboards, basic understanding of predictive maintenance algorithms, human-in-the-loop quality inspection. This is not illegal. It’s just more work. And it’s the only way to close the gap between what the Act mandates and what modern manufacturing needs.
Rethink the Stipend as Investment, Not Cost
CHROs in larger manufacturing firms should move toward performance-linked stipends with a clear absorption pathway. Signal to the apprentice: if you hit these milestones, your stipend steps up, and here is a genuine employment offer at the end. This changes the psychological contract entirely. The apprentice stops feeling like cheap labour and starts feeling like a candidate. Compare the investment to the cost of lateral hiring an experienced technician in a tight market for specialised manufacturing roles. The apprenticeship investment almost always wins on a five-year horizon.
Build Internal ‘Master’ Pipelines – This Is the Hidden Crisis
The master craftsmen, the senior tool-and-die makers, the veteran process engineers who carry decades of tacit knowledge – they are retiring. And their knowledge is not being transferred fast enough because apprenticeship programmes are too shallow and too compliance-driven to capture it. CHROs need to formally identify these knowledge holders and build structured master-apprentice pairings around them before they walk out the door. Call it a knowledge transfer programme, call it an internal guild structure – whatever gets budget approved. But do it now.
The Bottom Line for CXOs
The Act is not your enemy – but it is not your friend either in its current form. It gives you the mandate and the legal cover to build a serious apprenticeship programme. What it doesn’t give you is the curriculum, the quality assurance, the economic incentive structure, or the technological relevance. You have to build those yourself.
The question isn’t whether AI will change apprenticeship in Indian manufacturing. It already is. The question is whether your organisation is shaping that change – or reacting to it after the fact.
The CHROs who act now – who treat apprenticeship as a genuine investment in their organisation’s knowledge future – will be the ones building the manufacturing leaders of 2035. The ones who keep treating it as a compliance checkbox will find themselves in 2030 with neither the trained workforce nor the institutional knowledge to compete.
