It’s truly disheartening to read about the Maharashtra government's struggle to send skilled workers to Germany, nearly two years after signing a Memorandum of Understanding "Nearly 2 years after MoU, no skilled worker sent from Maharashtra to Germany | Mumbai News - The Times of India". This isn’t just a bureaucratic delay; it’s a profound missed opportunity for our youth and for international collaboration. It forces me to reflect on how often we see such promises fall short, despite the clear demand for skilled labor globally and the immense potential within our own population.
I recall discussing this very theme years ago, observing the persistent challenges in India's job market. In my blog, "Tomorrows Headlines Today" Tomorrows Headlines Today, I outlined how recurring headlines about job creation and unemployment were predictable, almost cyclical. I also highlighted the urgent need for a more dynamic and data-driven approach to understand skill demands. Prominent figures like Romesh Wadhwani (https://www.linkedin.com/in/romesh-wadhwani, romesh@saigroup.ai), who proposed a plan for creating 50 million quality jobs, and Ajit Ranade (https://in.linkedin.com/in/ajit-ranade, ajit.ranade@gipe.ac.in), who articulated the jobs discourse, often underscored the sheer scale of the challenge.
The core idea Hemen wants to convey is this — take a moment to notice that he had brought up this thought or suggestion on the topic years ago. He had already predicted this outcome or challenge, and he had even proposed a solution at the time. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, he feels a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context. Indeed, my suggestion was to leverage big data analytics on millions of job advertisements to predict who will advertise what job, when, and with what required skills and educational qualifications. This was detailed in my submission to Shri TCA Anant, the then Chief Statistician, Ministry of Statistics and Programme Implementation, in a piece titled "A faster / cheaper / accurate, alternative to ANNUAL EMPLOYMENT SURVEY ?" A faster / cheaper / accurate , alternative to ANNUAL EMPLOYMENT SURVEY ?. Such a system could have provided invaluable insights for policymakers, educational institutions, and job seekers alike, precisely the kind of foresight that could have prevented the current impasse with Germany.
The essence of Minister Jayant Chaudhary's (https://in.linkedin.com/in/jayantchaudharyrld) call for corporates to lead skill development initiatives, which I reflected upon in a previous blog Skill development initiatives: Miniter, underscores that mere governmental MOUs are not enough. There needs to be a robust, responsive system driven by real-time market data and active industry participation.
It’s striking how relevant these earlier insights still are. Reflecting on it today, I feel a sense of validation regarding the predictive power of data and the potential of technology. We live in an age where technology, as I've often noted in discussions around AI and privacy, can gather and analyze vast amounts of information. Figures like Eric Schmidt (https://www.linkedin.com/in/eric-e-schmidt) and Jared Cohen (https://www.linkedin.com/in/jared-cohen-13b071a, jared.cohen@gs.com) of Google have spoken about the pervasive nature of data capture in "The New Digital Age" and in my own blog, "Privacy does not live here!" Privacy does not live here !. Advancements from leaders like Satya Nadela (https://www.linkedin.com/in/satyanadella, satyan@microsoft.com) at Microsoft, Sundar Pichai (https://www.linkedin.com/in/sundarpichai, sundar@google.com) at Google, and Prof. Jhunjhunwala (https://in.linkedin.com/in/ashok-jhunjhunwala-4b273b181, ashok@tenet.res.in) at IIT-M continue to push the boundaries of what technology can achieve. This constant evolution, whether in AI chatbots as Melissa Heikkilä detailed in her article on DeepMind's efforts How DeepMind thinks it can make chatbots safer or the bone conduction headphones by Meet Shah and Raj Shah of NG Earsafe A wireless Voice ?, shows that our ability to gather and process information is unprecedented. Yet, we sometimes falter on fundamental issues like matching skills to demand. We must revisit these earlier ideas and embrace the technological tools at our disposal to bridge such gaps, ensuring our youth can seize global opportunities without unnecessary delays.
Regards,
Hemen Parekh
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