Close Icon

The Next AI Frontier Isn’t Digital—It’s Discovery

Listen to this article

00:00 / 00:00

What happens when AI stops merely automating tasks and starts driving scientific discovery itself? Curious to know how AI is reshaping the very foundation of innovation? Read more in this blog.

The Next AI Frontier Isn’t Digital—It’s Discovery

Not too long ago, the AI buzz was all about chatbots that could hold a decent conversation and tools that could work up emails or poems faster than you could say “generative.” And back then, those really were the wow moments. Just recently, the internet had been caught up in the 'Ghiblification' frenzy, ever since OpenAI opened Pandora’s box when it comes to image generation—specifically, the ability not just to create photos from text-based prompts, but to upload and transform them into a specific style with ease. Within just an hour following the release of its free Ghibli-style image generation feature, OpenAI's ChatGPT added a million plus users. To put some context, at the time of its launch, it took ChatGPT 5 days to reach its first one million users on its platform.  
We have already stepped up into a much more profound phase of AI transformation. Across every frontier of science, AI is driving a revolution. From translating brain scans into text, to predicting the 3D shape of proteins, AI is not only reshaping how research is done, it is shaping the very foundations of how we understand science, design drugs, discover materials, solve climate equations, and reimagine industries.

Imagine this. A researcher is trying to understand a rare protein structure to design a treatment for a disease that has baffled scientists for decades. Today AI can not only search the literature, but can simulate molecular interactions at an atomic level, in minutes. With its ability to predict protein structures, Google’s AlphaFold has completely transformed how we discover new drugs. So far, AlphaFold has predicted over 200 million protein structures—which covers nearly every catalogued protein known to science. AlphaFold’s Protein Structure Database already has over two million users across 190 countries . As Kent Walker, President of Global Affairs at Google, put it to The New York Times: “It’s Google Maps for biology.”

Scientists have since used updated versions of AlphaFold to work on pharmaceuticals including a vaccine against malaria, second only to tuberculosis in terms of its devastating global impact.

The next phase of AI disruption will not unfold in our phones or productivity tools. It is playing out in laboratories, observatories, and research institutes across the world, where AI is quietly but decisively reshaping the very structure of scientific inquiry and industrial capability.

Last year, the Nobel Committees in Stockholm announced that the prizes in Physics and Chemistry were awarded to work related to artificial intelligence. The Nobel Prize  in 2024 acknowledged a development that would have been inconceivable a decade ago. John J Hopfield and Geoffrey E Hinton were recognized for their pioneering contributions to neural networks—work that has become essential in analysing high-dimensional datasets in cosmology and quantum mechanics. These networks are no longer abstract constructs; they are instruments of observation. AI has become a critical tool in gravitational wave detection, particle physics simulations, and even in refining the imagery of phenomena like black holes.

Not just in physics and biology, for centuries, mathematical discovery has relied on a combination of logic, intuition, and decades of meticulous efforts. Today, AI is accelerating this process, multifold. In 2021, a landmark collaboration between mathematicians and DeepMind’s AI system led to the discovery of previously unknown relationships in knot theory, a subfield of topology. The significance lies not just in the discovery, but in the methodology: AI was used not to compute solutions, but to propose conjectures—hypotheses that were later verified through traditional proof. Similarly, AI is altering the game in Nuclear Physics. At ITER and other experimental fusion facilities, machine learning models are being developed to predict and prevent plasma disruptions in real-time. Moreover, in reactor design and materials testing, AI simulations are replacing what would have taken decades of trial and error. This is especially critical as we stand at the brink of an energy transition.

This is a profound shift. We are now in an era where AI can assist in the generative process of theory itself, not merely its validation. In India, for example, satellite imagery combined with AI models is helping smallholder farmers make informed decisions about irrigation and soil health. The convergence of AI with botanical sciences has also accelerated how we identify and cultivate climate-resilient crop varieties. With climate volatility threatening traditional farming cycles, AI-powered systems are being deployed to predict pest outbreaks, model crop responses to weather patterns, and optimize planting strategies for resilience rather than yield alone. 

From +AI to AI+

What does it mean when AI begins to participate in discovery, rather than just automate its margins? As European Commission President Ursula von der Leyen proclaimed at Davos 2024, “AI is already revolutionising healthcare… First movers will be rewarded, and the global race is already on.” That race is not merely geopolitical, it is deeply scientific not just in healthcare but in almost every possible sector imaginable. However, the common thread among all these breakthroughs is speed. The first movers in this phase will be those building AI into the very foundation of scientific innovation.

While the global North often dominates the AI narrative, India is quietly shaping its own distinctive AI story, one that is multilingual, and grounded in problem-solving for real-world complexities. Samsung R&D Institute India, Samsung’s largest R&D centre outside of Korea has been crucial in expanding the language support of Galaxy AI. The entire leadership and the team that created the Galaxy AI innovation resides in India. 

The future is not something we enter—it is something we create 

If we want to make the most of this defining moment in history, we must move away from a fragmented approach and embrace a more integrated, collaborative, and forward-thinking strategy, with the ability to take greater risk. We must double down on boosting our AI talent and at the same time attract, nurture and retain cutting edge top tier AI research talent to ensure AI innovations for the world to emerge from India. At the same time, we must move beyond the notion of creating an AI strategy in the context of challenging global AI landscape. India’s AI strategy should be truly Indian, trained on our datasets, cultures and problems with solutions built in India, for the world.  


Disclaimer

The views, thoughts, and opinions expressed in this blog are solely those of the author and any content provided on this blog is for informational purposes only.

Related Voices

Time for National Mission on Cyber Security

Time for National Mission on Cyber Security

Over the past decade, India's digital landscape has undergone a dramatic transformation, propelled factors such as aggressive technology adoption, a strong world leading tech industry, burgeoning digital-first enterprises.

Germany’s Mittelstand and India’s Tech Expertise: Unlocking New Frontiers for Innovation

Germany’s Mittelstand and India’s Tech Expertise: Unlocking New Frontiers for Innovation

As global markets evolve, the synergy between Germany’s highly specialized Mittelstand enterprises and India’s rapidly expanding digital technology sector presents a unique opportunity for driving innovation and economic growth.

A Secure and Efficient Future: How Businesses Can Combat Fraud and Enhance Cybersecurity

A Secure and Efficient Future: How Businesses Can Combat Fraud and Enhance Cybersecurity

As businesses digitise at an unprecedented scale—embracing AI, cloud infrastructure, and digital payments—their exposure to cyber threats and financial fraud is rising just as fast.

India’s Digital Future: Beyond Innovation to Systemic Transformation

India’s Digital Future: Beyond Innovation to Systemic Transformation

Is this the most opportune time to be in tech or the most uncertain? This question continues to dominate industry discussions as the sector experiences profound shifts.

The AI and GCC Revolution: A Defining Moment for India’s Tech Leadership

The AI and GCC Revolution: A Defining Moment for India’s Tech Leadership

Over the past decade, India has emerged as the global epicenter for technology and innovation through its thriving Global Capability Centres (GCCs).

Generative AI heralds a new era for Business Process Operations

Generative AI heralds a new era for Business Process Operations

Generative AI (GenAI) is at a pivotal crossroads, capable of shaping our reality while raising concerns about its unchecked influence. Despite fears of a dystopian future, leveraging GenAI responsibly can address critical challenges like the global skilled workforce shortage, which has led to a 40% productivity decline since 2002. GenAI enables extreme automation, deep decision-making insights, and hyper-personalized consumer experiences. However, as AI transforms industries, reskilling one-third of the workforce is crucial. By combining GenAI with non-AI skills in areas like forecasting and autonomous systems, we can drive innovation, create new services, and redefine business models for a sustainable future.

Generative AI: Revolutionizing BPM, Sales & Marketing

Generative AI: Revolutionizing BPM, Sales & Marketing

Generative Artificial Intelligence (GenAI) is set to revolutionize the Business Process Management (BPM) industry by enhancing efficiency, agility, and competitiveness. It automates repetitive tasks like data entry and document processing, personalizes customer interactions using vast datasets, and addresses critical risk management by proactively identifying and mitigating vulnerabilities. Additionally, GenAI facilitates continuous process improvement by analyzing and optimizing workflows in real time, ensuring businesses stay responsive to market changes. This transformative potential positions GenAI as a game-changer for the BPM industry.

Gen AI can be a Game-Changer for the BPM Industry

Gen AI can be a Game-Changer for the BPM Industry

Generative AI has the potential to revolutionize technology and business, unlocking new possibilities like never before. However, it also comes with its share of challenges and risks. Its true impact will ultimately depend on how thoughtfully and responsibly we choose to harness it.

Artificial Intelligence in Healthcare: How and Where to Start

Artificial Intelligence in Healthcare: How and Where to Start

For faster time-to-value, progressive health systems are focusing on applying AI tools to the administrative side of healthcare, specifically to revenue cycle management (RCM) processes. This is not only because healthcare organizations are under pressure to improve financial performance, but also due to a historic shortage of qualified RCM professionals (coders, billers, and authorization specialists).

India’s Strategic Role in the AI Revolution

India’s Strategic Role in the AI Revolution

According to Indian government estimates, investment in India’s robust AI capabilities are growing at a compound annual growth rate of 30.8%, and the total Indian AI market is expected to be worth $7.8 billion by 2025. Further, A top tier audit firm estimates that generative AI (GenAI) could boost India’s total GDP by $359-$438 billion by 2030.

How Cloud Infrastructure Supports Growing AI Workloads?

How Cloud Infrastructure Supports Growing AI Workloads?

According to recent statistics, the global AI market is projected to reach $1,345.2 billion by 2030, with a compound annual growth rate of 36.8%.

Leadership Insights: Generative AI & it’s Impact on Customer Service (CX)

Leadership Insights: Generative AI & it’s Impact on Customer Service (CX)

Generative AI (GenAI) has become a focal point in the business landscape. From healthcare to retail to finance, industries are leveraging AI to streamline processes and enhance customer experiences.

Spread the insights!

Close Icon