Artificial Intelligence (AI) refers to intelligent behaviour generated by machines, rather than the natural intelligence of humans. Its goal is to create computers or systems that think, learn, decide and solve problems much like we do - by studying how the human brain works and then designing algorithms that replicate that behaviour.
Since the dawn of computing, the capabilities of machines have grown exponentially. Over time, humans have empowered computers to handle an ever-wider variety of tasks, at increasing speed and with shrinking sizes. AI emerged from the ambition to imbue machines with human like intelligence - a cross disciplinary pursuit involving computer science, mathematics, engineering, biology and psychology.
Recently Sony has unveiled a new version of the Robot Dog. It is equipped with the latest AI technology, allowing it to learn tricks, be aware of its surroundings and develop a bond with its owner through facial and voice recognition. These learned behaviours are stored in the clouds and are constantly updated as the Dog comes into contact with other AI and Humans.
Evolution of AI has pushed the boundaries of creativity. Not only it predicts trend and answer customer queries, it also inspires visual and aural sense by understanding and providing an interpretation of millions of data. Artificial Intelligence is quickly becoming the next transformational technology. There are many fact the we may already be interacting with this ground breaking technology without even realizing it.
The Rising Tide of AI
AI is no longer a futuristic concept: it's now deeply embedded in many parts of our daily lives and in the economy. Believe me or not but AI is going to change the world in every domain in just coming few years. We have become comparatively smart by using the smart phones and now we have to be more intelligent as to handle the Artificial Intelligence (AI).
- •Market Growth: The global AI market is witnessing explosive growth. According to latest Research, it was worth about US$ 638 billion in 2024 and is projected to reach US$ 3.68 trillion by 2034, growing at a CAGR of roughly 19.2%.
- •In Asia-Pacific alone, the AI market is projected to expand at around 28.2% CAGR from 2025 to 2035, driven strongly by countries like India and China.
- •In India, according to a NASSCOM-BCG report, the AI market could reach US$ 17 billion by 2027, with rapid growth in talent and enterprise adoption
AI Is Already Everywhere
AI isn’t just confined to labs or big tech companies - we’re interacting with it every day, often without even realizing it:
- •Search Engines: Google processes billions of queries daily; many of its improvements come from AI-driven algorithms that understand language, context and intent.
- •Artificial Intelligence (AI) refers to intelligent behaviour generated by machines, rather than the natural intelligence of humans. Its goal is to create computers or systems that think, learn, decide and solve problems much like we do - by studying how the human brain works and then designing algorithms that replicate that behaviour.
Since the dawn of computing, the capabilities of machines have grown exponentially. Over time, humans have empowered computers to handle an ever-wider variety of tasks, at increasing speed and with shrinking sizes. AI emerged from the ambition to imbue machines with human like intelligence - a cross disciplinary pursuit involving computer science, mathematics, engineering, biology and psychology.
Recently Sony has unveiled a new version of the Robot Dog. It is equipped with the latest AI technology, allowing it to learn tricks, be aware of its surroundings and develop a bond with its owner through facial and voice recognition. These learned behaviours are stored in the clouds and are constantly updated as the Dog comes into contact with other AI and Humans.
Evolution of AI has pushed the boundaries of creativity. Not only it predicts trend and answer customer queries, it also inspires visual and aural sense by understanding and providing an interpretation of millions of data. Artificial Intelligence is quickly becoming the next transformational technology. There are many fact the we may already be interacting with this ground breaking technology without even realizing it.
The Rising Tide of AI
AI is no longer a futuristic concept : it's now deeply embedded in many parts of our daily lives and in the economy. Believe me or not but AI is going to change the world in every domain in just coming few years. We have become comparatively smart by using the smart phones and now we have to be more intelligent as to handle the Artificial Intelligence (AI).
- •Market Growth: The global AI market is witnessing explosive growth. According to latest Research, it was worth about US$ 638 billion in 2024 and is projected to reach US$ 3.68 trillion by 2034, growing at a CAGR of roughly 19.2%.
- •In Asia-Pacific alone, the AI market is projected to expand at around 28.2% CAGR from 2025 to 2035, driven strongly by countries like India and China.
- •In India, according to a NASSCOM-BCG report, the AI market could reach US$ 17 billion by 2027, with rapid growth in talent and enterprise adoption
AI Is Already Everywhere
AI isn’t just confined to labs or big tech companies - we’re interacting with it every day, often without even realizing it:
- •Search Engines : Google processes billions of queries daily; many of its improvements come from AI-driven algorithms that understand language, context and intent.
- •Social Media & Photos : Platforms like Facebook use AI for facial recognition - suggesting tags by identifying people in photos.
- •Healthcare : AI is revolutionizing diagnostics. For instance, advanced AI can detect cancers like ovarian or bowel cancer rapidly, sometimes more accurately than traditional methods. There are cutting-edge systems such as DeepSeek (in China) that support hospital workflows, diagnosing disease via AI-assisted imaging and data.
- •Business/Finance : AI helps in predicting trends, fraud detection, customer support chatbots and personalized financial advice. AI, was earlier used only in stock identification and other financial services, is now making its way into Exchange Traded Fund (ETF) and Canada gets its first Artificial Intelligence run ETF. AI can also understand the behaviour of some one’s trading by past records and then throws the data to summarise or to suggest for a change in the trading style to get the comparatively better return.
- •Defense & Security : AI assists intelligence agencies, security operations and even autonomous or semi-autonomous robotic systems.
- •Robotics : Humanoid and other robots are becoming more capable - combining vision, language and motion to operate in complex environments.
- •SMEs (Small & Medium Enterprises) : Even smaller businesses are using AI - not just large corporations. AI helps reduce operational costs, automate workflows and improve decision-making.
The Double-Edged Sword : Benefits and Risks
Benefits:
Efficiency & Productivity : AI automates repetitive tasks, augments human decision making and can scale operations rapidly.
Innovation : Generative AI (like chatbots, image and video generation models) is enabling creativity in content, design and problem-solving.
Economic Impact : AI has the potential to add tremendous value : some experts believe it could drive significant GDP growth. For instance, AI adoption in India could contribute US$ 500 billion to GDP by 2035.
Better Services : In healthcare, AI can lead to earlier - more accurate diagnosis, In finance - it can provide personalized advice, In business - it can improve customer experience.
A lot has been said about AI. Few love it while others hate it. But today’s truth is that you can’t ignore AI. It has become the part of our life and it has helped companies to exploit.
Risks & Challenges:
- •Job Displacement : As AI automates more tasks, there’s a risk that some roles will become obsolete, especially routine or repetitive ones.
- •Ethical Concerns : Bias in AI models, privacy violations and transparency are big issues. Who is accountable if AI makes a wrong decision?
- •Energy Consumption : AI infrastructure, especially data centres, consumes significant power. Some forecasts suggest that AI-optimized data centers will contribute to a substantial rise in electricity demand by 2030.
- •Autonomous Systems : With the rise of “agentic” AI - systems that make decisions and take actions - questions of control, alignment and safety become more critical
- •Regulation : Laws and policies are still catching up. We need frameworks for data governance, liability and ethical AI - especially in sensitive domains like healthcare or defense.
So, Are We Ready?
Yes - to some extent, but not fully. Here’s why ? The question remains critical, Will it be a new form of life? and the way AI is being developed, AI Robots will replace humans completely.
- •Preparedness in Business : Many companies are already integrating AI. As AI infrastructure becomes more accessible (cloud-based tools, pretrained models), even smaller firms are adopting it.
- •Talent & Skills : There is growing AI talent, but there’s also a risk of a skill gap. Continuous learning and reskilling are essential.
- •Governance Lags : Regulatory frameworks are being developed, but they are not yet robust enough globally. We need more clarity on accountability, safety and ethics.
- •Society Needs Adaptation : Education systems, workplaces and governments need to adapt to an AI-driven world - not just technologically, but socially and culturally.
- •Sustainability : We must ensure that AI growth is sustainable : increasing data center energy use, for instance, is a real concern.
Conclusion
AI is no longer a distant dream - it's here, and it's growing fast. Its transformative potential is enormous: it can boost productivity, drive innovation and reshape economies.
However as we understand that everything has its pros and cos. Few experts say that human development of robots and computers will eventually reach a tipping point when it will become a new form of life that will outperform humans. It sounds exactly similar to the Rajnikant’s movie “Robot”, in which project backfires when Robot falls in love with scientist’s girlfriend, once its upgraded to give it the ability to comprehend and exhibit human emotions.
Whether we are “ready” for AI depends largely on how we manage this transition:
- •We need to invest in education and upskilling so people are equipped to work with AI, not just be replaced by it.
- •We need strong regulation and ethical guardrails to ensure AI development is responsible and aligned with human values.
- •We must prioritize sustainability, making sure AI grows in an energy-efficient and environmentally conscious way.
- •Above all, we should view AI not as a threat, but as a tool to augment human capabilities - where humans remain in the loop, guiding and supervising intelligent systems.
Chandan Taparia
- •: Platforms like Facebook use AI for facial recognition - suggesting tags by identifying people in photos.
- •Health care: AI is revolutionizing diagnostics. For instance, advanced AI can detect cancers like ovarian or bowel cancer rapidly, sometimes more accurately than traditional methods. There are cutting-edge systems such as DeepSeek (in China) that support hospital workflows, diagnosing disease via AI-assisted imaging and data.
- •Business/Finance : AI helps in predicting trends, fraud detection, customer support chatbots and personalized financial advice. AI, was earlier used only in stock identification and other financial services, is now making its way into Exchange Traded Fund (ETF) and Canada gets its first Artificial Intelligence run ETF. AI can also understand the behaviour of some one’s trading by past records and then throws the data to summarise or to suggest for a change in the trading style to get the comparatively better return.
- •Defense & Security : AI assists intelligence agencies, security operations and even autonomous or semi-autonomous robotic systems.
- •Robotics : Humanoid and other robots are becoming more capable - combining vision, language and motion to operate in complex environments.
- •SMEs (Small & Medium Enterprises) : Even smaller businesses are using AI - not just large corporations. AI helps reduce operational costs, automate workflows and improve decision-making.
The Double-Edged Sword : Benefits and Risks
Benefits:
Efficiency & Productivity : AI automates repetitive tasks, augments human decision making and can scale operations rapidly.
Innovation : Generative AI (like chatbots, image and video generation models) is enabling creativity in content, design and problem-solving.
Economic Impact : AI has the potential to add tremendous value : some experts believe it could drive significant GDP growth. For instance, AI adoption in India could contribute US$ 500 billion to GDP by 2035.
Better Services : In healthcare, AI can lead to earlier - more accurate diagnosis, In finance - it can provide personalized advice, In business - it can improve customer experience.
A lot has been said about AI. Few love it while others hate it. But today’s truth is that you can’t ignore AI. It has become the part of our life and it has helped companies to exploit.
Risks & Challenges:
- •Job Displacement: As AI automates more tasks, there’s a risk that some roles will become obsolete, especially routine or repetitive ones.
- •Ethical Concerns: Bias in AI models, privacy violations and transparency are big issues. Who is accountable if AI makes a wrong decision?
- •Energy Consumption: AI infrastructure, especially data centres, consumes significant power. Some forecasts suggest that AI-optimized data centers will contribute to a substantial rise in electricity demand by 2030.
- •Autonomous Systems : With the rise of “agentic” AI - systems that make decisions and take actions - questions of control, alignment and safety become more critical
- •Regulation : Laws and policies are still catching up. We need frameworks for data governance, liability and ethical AI - especially in sensitive domains like healthcare or defense.
So, Are We Ready?
Yes - to some extent, but not fully. Here’s why ? The question remains critical, Will it be a new form of life? and the way AI is being developed, AI Robots will replace humans completely.
- •Preparedness in Business : Many companies are already integrating AI. As AI infrastructure becomes more accessible (cloud-based tools, pretrained models), even smaller firms are adopting it.
- •Talent & Skills : There is growing AI talent, but there’s also a risk of a skill gap. Continuous learning and reskilling are essential.
- •Governance Lags : Regulatory frameworks are being developed, but they are not yet robust enough globally. We need more clarity on accountability, safety and ethics.
- •Society Needs Adaptation : Education systems, workplaces and governments need to adapt to an AI-driven world - not just technologically, but socially and culturally.
- •Sustainability : We must ensure that AI growth is sustainable : increasing data center energy use, for instance, is a real concern.
Conclusion
AI is no longer a distant dream - it's here, and it's growing fast. Its transformative potential is enormous: it can boost productivity, drive innovation and reshape economies.
However as we understand that everything has its pros and cos. Few experts say that human development of robots and computers will eventually reach a tipping point when it will become a new form of life that will outperform humans. It sounds exactly similar to the Rajnikant’s movie “Robot”, in which project backfires when Robot falls in love with scientist’s girlfriend, once its upgraded to give it the ability to comprehend and exhibit human emotions.
Whether we are “ready” for AI depends largely on how we manage this transition:
- •We need to invest in education and upskilling so people are equipped to work with AI, not just be replaced by it.
- •We need strong regulation and ethical guardrails to ensure AI development is responsible and aligned with human values.
- •We must prioritize sustainability, making sure AI grows in an energy-efficient and environmentally conscious way.
- •Above all, we should view AI not as a threat, but as a tool to augment human capabilities - where humans remain in the loop, guiding and supervising intelligent systems.
Chandan Taparia

