虎嗅

Should Young People Stop Dreaming of Using AI to Overcome Social Class Barriers? Insights from a populous country

原文:年轻人不应幻想借AI实现阶层逆袭?一个人口大国的启示

Summary of Key Points

The era of AI is impacting the Indian economy from two critical areas: firstly, the IT sector, which serves as the engine of the Indian economy and a cradle for the middle class, is facing layoffs due to AI replacing routine outsourcing tasks, resulting in reduced global demand; secondly, in the manufacturing industry, Indian workers are recording videos of their work to train AI robots, which may lead to their replacement in the future. These dual shocks have significantly diminished the number of first job opportunities for young Indians, especially graduates, exacerbating unemployment and undermining the foundations of social mobility. Although the Indian government and businesses are attempting to adapt, the effects are not yet evident, leaving them in a predicament where they have not reaped the benefits while bearing the brunt of the changes.

Detailed Analysis

1. The IT Sector: Once a Golden Job Market, Now Hit by AI

The Indian IT industry grew from outsourcing and contributes 7% to GDP, forming a major source of the middle class. However, with the advent of AI:

  • AI has taken over routine tasks: Tasks such as writing basic code and handling customer inquiries, which were previously done manually, can now be quickly completed by AI (e.g., generative AI), reducing the need for many workers. For instance, Rakesh from Oracle was laid off because the AI tool he helped develop replaced his job.
  • Layoffs are on the rise: Reports from Standard & Poor's show that companies like Infosys and Wipro have reduced their workforce by 5%-6%, and the Nifty IT index has dropped by 18% this year, indicating poor investor sentiment.
  • Customers are shifting away: India's largest IT customers are American companies, which are increasingly adopting AI internally, reducing the demand for Indian outsourcing services. Global economic and geopolitical uncertainties have also contributed to the decline in demand.
  • Transformation is challenging: Companies claim they are moving from selling manpower to providing solutions (e.g., using AI for clients), but this transition takes time, and there are fewer new jobs created than those lost.

2. The Manufacturing Sector: Temporary Income through Video Recording, Future Replacement by Robots

Modi hoped to create more jobs through "Made in India," but AI robots are threatening these positions:

  • Workers recording videos: Workers in textile factories in Tamil Nadu wear GoPro or Meta glasses to record processes like ironing clothes, earning an additional $100 per month. These videos are used by companies like Amazon and Tesla to train AI robots, which could eventually replace them.
  • The ambition of "Made in India" is faltering: Manufacturing accounts for less than 15% of India's GDP, and with the rapid adoption of AI, creating jobs in this sector has become more difficult.
  • Workers' mixed feelings: Workers like Gowtham are aware that their roles may be replaced by robots but are willing to continue working for the extra income, rationalizing it as AI providing assistance rather than complete replacement.

3. A Nightmare for Young People: The Loss of First Jobs and Stagnation of Social Mobility

Eight million to ten million people enter the Indian labor market each year, and their first job is crucial for social mobility. However, this opportunity is disappearing:

  • Fewer entry-level positions: The IT sector is no longer hiring many recent graduates, as AI can assist existing employees. For example, the number of vacancies for computer science graduates has decreased by 17% compared to previous years.
  • High unemployment rates: The unemployment rate among graduates is 11.2%, more than three times the overall unemployment rate. Forty-five percent of graduates are stuck in low-paying jobs with no salary increase in ten years.
  • Stagnation of social mobility: Losing the first job means missing out on opportunities for better income and family prospects (e.g., for rural youth moving to cities). This is not just ordinary unemployment but a crisis of social stratification.

4. Government and Corporate Responses: Investing and Transforming, but Is It Enough?

India is not inactive, but the effectiveness of these efforts is in question:

  • Government initiatives: Modi claims that AI will create millions of jobs and has allocated $1.1 billion for the "Indian AI Mission" to train workers in AI skills. However, the Chief Economic Advisor warns that if the IT sector does not transform quickly, it could weaken the economy.
  • Corporate statements: IT companies say they are shifting to provide AI solutions, but job cuts continue. For example, the TCS chairman predicts that half of technical positions will be replaced by AI in the next three years.
  • Labor union concerns: Unions view AI as a pretext for layoffs; for instance, TCS laid off 30,000 last year, claiming it was due to AI transformation, but it was actually a routine optimization.
  • Struggles of workers: Laid-off workers like Rakesh have tried to learn AI skills and struggled to find new jobs, with some earning only a quarter of their previous salary. Many colleagues are still unemployed, realizing that traditional IT jobs are becoming obsolete.

5. A deeper Crisis: Has India's Development Model Reached its Limit?

India has thrived in the past 30 years on low-cost labor outsourcing, but AI has rendered this advantage ineffective:

  • The old model is unsustainable: The traditional logic of "more customers → more jobs → more hiring" no longer applies as AI allows fewer workers to do more work.
  • New opportunities?: Some hope that global talent centers (GCCs) in India will create jobs, but these require higher-skilled workers (e.g., in product development), which not everyone can acquire.
  • Time is running out: While the impact of AI is gradual, India's annual labor growth of ten million people means it cannot afford to wait. If it does not quickly transition to high-value-added services (e.g., AI research and development, advanced consulting), its demographic advantage could turn into a burden.

Conclusion

The impact of AI on India is not about whether it will happen but that it has already begun. The core issue is that India's development model, based on selling labor, is no longer viable in the AI era. To overcome this, young people need to acquire complementary skills (e.g., customer management, problem-solving frameworks), businesses must truly transform into high-value-added service providers, and the government must implement more effective policies (e.g., subsidizing job training and expanding apprenticeship programs). Otherwise, India may indeed become one of the first countries to decline in the AI era.