The rapid and advancement of artificial intelligence (AI) presents both unprecedented opportunities and significant challenges for India's labour market. Examine strategies to allein AI adoption with inclusive and resilient labour market outcomes.

AI advancement brings several challenges for the labour market, as seen in the recent layoff of 10,000 workers in Intel. But it also provides opportunities. AI's impact on labour market: Positives $ opportunities: (1) Opportunities for new jobs a AI developer, Technician, Maintainer, Experts. (2) Improves productivity of workers → greater economic contribution a Rise in wages (3) Enables bridging of social gaps a Linguistic gap = Multilingual within AI assistance and Flexibility of work. b R&D gaps → AI-based assistance. (4) AI as stop and sector of organization – leading to higher employment.

Negatives = Challenges: (1) AI displacement of labour a Tech-based companies, mid-level position & direct for fresher hired. (2) Upskilling skill needs → Employent Opportunities declining for non-AI unfamiliar candidates. (3) [Rapidly] Manufacturing replacement as AI-led automation & shift. Strategies to align AI adoption with labour market positive outcome: (1) Education advancement – Redesign and curriculum from secondary to university level a to reflect changing industry demands. (2) Encble Skilling initiatives for AI (Metis future skilling platform) to ensure AI adaptability. (3) Encourage adoption of old employee with skilling programmes for companies. (4) AI development – human-centric and public-aligned → Berlin Summit guideline. a AI then represents the other previous advancement work in Technology, which led to 100 before employment. Hominem development of AI collaborate and consurn.

Strategies to align AI adoption with labour market positive outcomes continued: Increased productivity debate about intoxicated wages. Strategies to allign AI adoption with labour market positive outcome: (1) Education advancement – Redesign and curriculum from secondary to university level to reflect changing industry demands. (2) Encble Skilling initiatives for AI (Metis future skilling platform) to ensure AI adaptability. (3) Encourage adoption of old employee with skilling programmes for companies. (4) AT development – human-centric and public-aligned → Berlin Summit guideline. a AI then represents the other previous advancement work in Technology, which led to 100 before enhancement. Hominem development of AI collaborate and consurn.

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