Skip to main content

Schools to National Innovation

 

Building India’s AI Future: Starting from Schools to National Innovation




The Seeds of Research Start in School

Innovation does not happen overnight. It is the result of years of research, experimentation, and investment. If India aspires to build its own DeepSeek or ChatGPT, we must start by cultivating a research-oriented mindset in schools. Countries like the US, China, and Israel invest heavily in research and development (R&D) from an early stage, ensuring that students are exposed to problem-solving, technology, and critical thinking from childhood.

However, India’s education system still prioritizes rote learning over innovation. If we want to create world-class AI models, we must first create world-class researchers—and that journey begins in school. Encouraging project-based learning, research competitions, and coding from an early age will set the foundation for technological breakthroughs in the future.

Why Has India Struggled to Build Its Own AI Giants?

Despite having one of the largest pools of engineering talent, India has not yet produced a global AI giant like OpenAI or DeepSeek. The reasons are multifaceted:

1. Insufficient Investment in Research and Development (R&D)

One of the biggest hurdles is the lack of adequate funding for research. According to data presented in Vantage with Palki Sharma, India spends only 0.6% of its GDP on R&D. In contrast:

  • The US spends 3.4%
  • China spends 2.4%
  • Israel spends 5.7%

Not only is government funding low, but private sector investment in R&D is also insufficient. In India, private companies contribute only 36% of total R&D spending, whereas in the US and China, this number exceeds 70%.

Without sufficient funding, it is impossible to develop cutting-edge AI technologies. For India to compete globally, both the government and private sector must collaborate and increase their investments in research.

2. A Market That Favors Foreign Companies Over Indian Startups

Another key issue is market competition. Indian startups face stiff competition from well-established global tech giants. For example, if an Indian company builds an alternative to Google, would Indian users switch to it? The likely answer is no. Established companies like Google and Facebook dominate because of their extensive resources, brand trust, and affordability.

In contrast, China has a protected market where American tech companies are restricted. This has allowed Chinese companies like Baidu, Tencent, and Alibaba to thrive without foreign competition, giving them time to develop competitive products.

In India, without such protection, homegrown startups struggle to gain traction. Companies like Koo (an Indian alternative to Twitter) eventually failed because they could not compete with their foreign counterparts.

3. India’s Technological Gap in AI Infrastructure

AI is built on advanced technologies such as semiconductors, high-performance computing, and specialized AI chips. India has fallen behind in these crucial areas. For instance:

  • AI models require specialized semiconductors, but most of these chips are made by a single company—Nvidia (USA).
  • Due to US restrictions, India can only import 50,000 AI chips by 2027, whereas companies like OpenAI have virtually unlimited access.

By the time India catches up, companies like OpenAI and DeepSeek will already be far ahead. To compete, India must invest in its own semiconductor manufacturing and AI chip development.

How Can India Turn the Tide?

1. Increase Research Funding and Collaborations

India needs a national research mission to promote AI and deep learning. The government, private companies, and universities should work together to:

  • Increase R&D spending to at least 2% of GDP.
  • Provide more grants and fellowships to AI researchers.
  • Encourage industry-academia collaborations for innovation.

2. Strengthen India’s AI Startup Ecosystem

To support Indian startups, the government can:

  • Offer tax incentives and subsidies for AI startups.
  • Establish AI innovation hubs similar to Silicon Valley.
  • Provide long-term funding to ensure sustainability.

3. Develop India’s Own AI Hardware and Semiconductor Industry

Relying on foreign-made AI chips is a major risk. India should:

  • Invest in semiconductor manufacturing to reduce dependency on imports.
  • Partner with companies like Tata Electronics and ISRO to develop AI chips.
  • Establish public-private partnerships to accelerate AI hardware production.

4. Focus on AI Education from Schools to Universities

AI education should not be limited to universities. Schools should introduce:

  • AI and coding courses from an early age.
  • Hackathons and research competitions to encourage innovation.
  • Internships and mentorship programs with leading tech firms.

 A National AI Mission is the Need of the Hour

The success of the US and China in AI is not just due to individual entrepreneurs—it is the result of national strategies, heavy investments, and market protection. If India wants to build its own AI giants, we must create a similar AI-focused national mission that brings together the government, private sector, startups, and educational institutions.

Without decisive action, India risks being left behind in the global AI race. But with the right policies, funding, and vision, India can build its own ChatGPT—and much more. The journey must begin today, starting from our classrooms, research labs, and innovation hubs.

Comments

Post a Comment

Popular posts from this blog

Digital eega

Google Creates a Digital Fruit Fly That Thinks, Moves, and Sees Like the Real Thing In a stunning leap forward for both artificial intelligence and biology, Google has developed a fully digital fruit fly—a virtual insect that lives inside a computer and behaves just like its real-world counterpart. This digital creation walks, flies, sees, and responds to its environment with lifelike precision. The journey began with a meticulous reconstruction of a fruit fly’s body using Mojo, a powerful physics simulator. The result was a highly detailed 3D model that could mimic the fly's physical movements. But a body alone doesn’t make a fly—it needed a brain. To create one, Google's team collected massive volumes of video footage of real fruit flies in motion. They used this data to train a specialized AI model that learned to replicate the complex behaviors of a fly—walking across surfaces, making sudden mid-air turns, and adjusting flight speed with astonishing realism. Once this AI br...
Post a Comment
Read more

4 Mūrkhulu(idiot)

What Are We Really Feeding Our Minds? A Wake-Up Call for Indian Youth In the age of social media, trends rule our screens and, slowly, our minds. Scroll through any platform and you’ll see what truly captures the attention of the Indian youth: food reels, cinema gossip, sports banter, and, not to forget, the ever-growing obsession with glamour and sex appeal. Let’s face a hard truth: If a celebrity removes her chappal at the airport, it grabs millions of views in minutes. But a high-quality video explaining a powerful scientific concept or a motivational lecture from a renowned educator? Struggles to get even a few hundred likes. Why does this matter? Because what we consume shapes who we become. And while there’s nothing wrong with enjoying entertainment, food, or sports — it becomes dangerous when that’s all we focus on. Constant consumption of surface-level content trains our minds to seek instant gratification, leaving little room for deep thinking, curiosity, or personal growth...
Post a Comment
Read more

REAL GOD of GODs

In 2016, Amazon proudly unveiled its “Just Walk Out” technology, marketed as a groundbreaking artificial intelligence (AI) system that could detect and charge customers for items they picked up without human intervention. The reality, however, was far less high-tech than advertised. Behind the scenes, over a thousand overseas workers—primarily based in India—were manually monitoring and supporting the system. This revelation exposed a broader truth: the remarkable rise of AI is built not just on algorithms and computing power, but on the backs of an invisible human workforce. The Human Side of AI Contrary to popular belief, the engines that power virtual assistants, recommendation systems, and machine translation are not entirely autonomous. They require extensive human input to function effectively. This input often comes from data workers responsible for labeling images, transcribing audio, and categorizing content. While Silicon Valley giants present AI as a product of sophisticat...
Post a Comment
Read more