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In November 2022, OpenAI made history with the launch of its new chatbot product, ChatGPT. This revolutionary AI system set off an arms race among Big Tech firms, with everyone vying to mirror and build upon its capabilities. The potential of AI is immense, and ChatGPT’s success has shown that there is still much untapped potential in the field. Artificial intelligence (AI) technology has been around for quite some time, although only in a relatively primitive, unpolished form. However, in recent decades, it has been improving exponentially, and an ever-expanding list of use-cases is becoming more apparent.
For investors, the growth of AI represents a once-in-a-lifetime opportunity to invest in cutting-edge and unproven technology. While there are certainly risks involved, the potential rewards for those willing to take a chance can be enormous. With the right guidance, Indian investors can capitalize on the still-developing field of AI, identify promising investment opportunities, and gain a better understanding of the technology and its implications.
This guide is designed to help Indian users navigate the complex world of AI investment. We will explore the significance of AI, its potential impact on various industries, and the key factors driving its growth. We’ll also provide practical tips for investors, highlighting the most promising AI investment opportunities and outlining strategies for managing risk. By the end of this guide, Indian investors should have a solid understanding of the AI landscape and be well-positioned to capitalize on its potential.
Given the rising popularity of AI stocks, there are now plenty of online brokers, robo-advisors, as well as full-service brokerages that offer access to these stocks in India. Some of the best ones to consider include:
Libertex is a well-known and versatile trading platform that recently expanded to include the cryptocurrency market. However, before that, it spent years perfecting its stock and forex trading services. As such, it is one of the best platforms for purchasing AI stocks in India. The company’s design is user-friendly and intuitive, and the platform offers incentives to users who opt to sign up, such as tempting competitions, prizes, and more.
The platform has a minimum deposit of $10, or its equivalent in different currencies, while its commissions are the lowest in the market. For most trades, the company charges zero fees. Meanwhile, it is also highly accessible, offering a web version as well as Android and iOS apps.
Next, we have Admirals, also known as Admiral Markets. This is an excellent choice for both investor education and a wide array of available assets. The platform offers an extensive range of shares, forex, and CFD markets. This, of course, includes AI shares, as well as other types of investments. It is worth noting that Admiral Markets has a $100 minimum deposit, so it might be best for those who have slightly higher amounts dedicated to investing.
Its Premium Analytics features Dow Jones News, Trading Central signals, and Acuity Trading’s sentiment analysis. The company serves over 48,999 clients, according to 2022 data, and it holds over $82 million in clients’ assets. On top of that, it includes a unique set of risk management tools that can protect investors from volatility. Finally, after a $6 fee, it has rather competitive pricing, with that all-in cost for its commission-based account being only 0.7 pips.
Artificial Intelligence, or AI, is a spectrum of technologies that allow computers to perform a variety of advanced functions, such as being able to understand, translate, and process written language, analyze data, make calculations, make decisions based on specific parameters, and even make recommendations.
In other words, it is a scientific field concerned with creating computers and machines that can, ideally, reason, learn, and act in a way that would typically require human intelligence. However, as a concept, AI is fairly old at this point in history with a heritage going back nearly 70 years now. Over the decades, it has become better and better, using technologies such as Machine Learning and Deep Learning to become exponentially more powerful and capable.
Of course, thanks to the computing power that they have at their disposal, these machines and computers are capable of absorbing and processing data much faster than humans. The same is true when it comes to decision-making. Another advantage is that the AI is not held back by emotions, such as fear or greed. This is why one of its most common use cases today is in investing through the use of trading bots.
As of right now, use-cases for AI are still fairly limited. Researchers and developers have gotten far over the last 65+ years, but this area is largely still experimental. That’s not to say that AI tools are not being used already. We have already mentioned their usage when it comes to trading bots, but the same is true when it comes to chatbots.
In other words, AI can trade assets on your behalf, accommodating thousands of investors and earning them money while they are free to pursue their other goals. Countless companies use AI chatbots for customer service, allowing them to be the first line of communication with users who have questions upon coming to the company’s website.
In 2014, Google also acquired an AI company called DeepMind Technologies, which created a Neural Turing Machine which allowed computers to mimic the short-term memory of the human brain. AI is also used as an autopilot by Tesla and other companies that seek to produce self-driving cars. AI can help with banking fraud detection, and cybersecurity. It can serve as a virtual assistant and serve across the board in sectors such as healthcare, finance, retail, transportation and more, helping them by improving accuracy, efficiency, and quick decision-making.
For years now, AI has been one of the biggest obsessions of tech companies, both big and small. However, some of the tech giants, such as Alphabet Inc (GOOG), Amazon (AMZN), Microsoft (MSFT), IBM (IBM), and others, have been integrating it and using it for years. The same is true for ambitious startups that are seeking to make a name for themselves in the field.
Alphabet’s Google has been developing AI for over two decades now, developing products such as Google Translate, Google Lens, and alike. Google also uses AI for search engine predictions, helping users find what they are looking for with greater precision and accuracy. Amazon has a similar idea, using AI to predict consumer demand, manage inventory, evaluate product availability, and more. It is also famously using AI in its warehouses.
Microsoft also dabbles in AI, using it to protect user data and code while the data is in use within the cloud. Apart from that, it uses AI to accelerate time to market, deliver new and innovative experiences, boost security with Azure, modernize data processing and usage, seamlessly integrate apps, systems, and more. Even IBM uses AI to extract information from photos, transcribe and understand spoken words, pull patterns and insights from written text, which helps with translation and natural language understanding, speaking what was written, and vice versa, and alike.
These and many other companies are using AI to advance the modern age, and we have been using their products for years without even knowing that AI is involved. Of course, as AI continues to improve and mature, so do these services and tools become better and more useful to users around the world.
OpenAI is an artificial intelligence (AI) research laboratory and organization founded in December 2015 by a group of prominent tech entrepreneurs and researchers, including Elon Musk, Sam Altman, Ilya Sutskever, John Schulman, and Wojciech Zaremba. The organization’s mission is to ensure that artificial general intelligence (AGI), defined as highly autonomous systems with the ability to outperform humans in most economically valuable work, benefits all of humanity. To achieve this goal, OpenAI commits to principles such as broadly distributed benefits, long-term safety, technical leadership, and cooperative orientation, as stated in its Charter.
Over the years, OpenAI has made significant advancements in AI research and development, with a focus on deep learning and reinforcement learning techniques. Some of its most notable projects include the development of the AI models GPT, GPT-2, GPT-3, and GPT-4, as well as projects like Dactyl, a robotic hand capable of manipulating objects with human-like dexterity, and Dota 2, an AI model that can compete with professional gamers in real-time strategy games. OpenAI actively collaborates with other research and policy institutions and seeks to create a global community working together to address the global challenges posed by AGI.
ChatGPT started in November 2022, when it was first announced by OpenAI and later released in early 2023 to be used publicly for free. The decision to release the bot, which version to use, and alike, is a complex story in and of itself, but by the end of it, ChatGPT was born and released to the public, causing chaos and major world-changing disruptions in the tech industry and far beyond, harrowing uncertainties about the wider implication of automation across multiple sectors.
According to OpenAI, the company has trained a model called ChatGPT which interacts in a conversational way. The dialogue format allows the bot to answer direct questions, follow up questions, admit its mistakes, challenge incorrect premises, reject inappropriate requests, and more. In other words, it is by far the most advanced chatbot available on the market, leading to a massive AI boom.
Some users have since complained that ChatGPT is giving biased or even incorrect answers. Some researchers have criticized OpenAI for being reckless. Some schools have even banned it after students started using it to create AI-generated homework.
Despite all of this, however, ChatGPT emerged as a massive breakthrough in AI, and a revolutionary new solution, which quickly led to its acquisition by Microsoft. Microsoft’s competitors, on the other hand, started investing massive amounts into the development and usage of their own AI solutions, as well as the acquisition of other promising start-ups.
ChatGPT-4 is the latest iteration of OpenAI’s conversational AI bot, capable of accepting images as inputs in addition to text. Described as a “search engine with conversational abilities,” ChatGPT can assist with writing, provide recommendations, and answer general knowledge and mathematical questions. This new version, GPT-4, marks a significant upgrade in performance and interaction methods, with its technology already integrated into Microsoft’s Bing Search tool. One notable application of the image input feature is its partnership with the Be My Eyes app for visually impaired users, where ChatGPT-4’s AI-powered Virtual Volunteer can provide visual assistance by interpreting images.
In addition to accepting images, ChatGPT-4 boasts massive performance improvements. OpenAI claims that it now ranks in the 90th percentile when taking a simulated US bar exam, compared to the bottom 10% for GPT-3.5. The AI model is more reliable, creative, and capable of handling complex instructions, and it exhibits human-level performance on various professional and academic benchmarks. Furthermore, GPT-4 is 82% less likely to respond to requests for disallowed content and complies with safety policies 29% more often when handling sensitive requests. ChatGPT-4 is available through the ChatGPT app and API for third-party use, with access limited to ChatGPT Plus subscribers.
Google, for example, ramped up efforts to compete with ChatGPT by investing in a rivaling generative AI startup. According to the company, it had invested more than $300 million for a 10% stake in Antrophic — OpenAI’s rival founded by some of OpenAI’s former employees.
Similar examples can be found around the world, where mega-corporations jumped on the AI bandwagon seeking to be the first to publish the next big product on the AI market.
Alphabet Inc. (NASDAQ:GOOGL), the holding company of Google LLC, is preparing to introduce its counterpart to ChatGPT during the first half of 2023. Termed Bard AI, this chatbot has undergone development for a period of two years and entered its testing phase in early February. The ultimate goal is to integrate this artificial intelligence technology into Google Search, enhancing its functionality.
Bard AI is constructed upon Google’s Language Model for Dialogue Applications (LaMDA). Sundar Pichai, the Chief Executive Officer of Google, has described Bard as an “experimental conversational AI service.” Its objective is to amalgamate the vast repository of global knowledge with the prowess, intellect, and creativity of Google’s extensive language models.
In a manner akin to ChatGPT, users can submit queries, requests, or prompts, and Bard AI will generate a response reminiscent of human interaction. One potential advantage Bard may possess over ChatGPT is its capacity to access up-to-date information on the internet, in contrast to ChatGPT, which relies on data up until 2021.
Nonetheless, Bard’s ability to utilise current data has not exempted it from ChatGPT’s most notable issue: the confident dissemination of misinformation as fact. As reported by The Verge, when queried about recent discoveries from the James Webb Space Telescope, Google’s Bard made an error in its initial demonstration. This mistake was swiftly identified by astronomers and science writers.
Despite these setbacks, it is worth noting that errors are an inherent aspect of human nature. Google remains steadfast in its commitment to facilitating Bard AI’s learning from its inaccuracies and enhancing its performance over time.
A Few Extras
What’s cool about ChatGPT is that it’s like chatting with a human. It doesn’t make many mistakes and replies quickly. Besides just chatting, you can also use it for other things like help with coding or even coming up with movie script ideas!
A Heads Up
Sometimes, if there are too many people trying to use ChatGPT at the same time, it might slow down or not work. This happens when the servers get too busy. But if you’re using the paid version of ChatGPT, you likely won’t have this problem.
If you are sold on the idea of investing in AI, one last thing to learn about it all is how to invest in a safe way. Similar to investing in any other kind of company, information is key. That means doing research and learning everything that you can about the company that interests you.
The first thing that you need to focus on is making sure that the firm that interests you is legitimate. AI has brought a flood of new start-ups, new investors, and new opportunities. All of that means that there is a lot of money in this sector right now, and whenever there is a lot of money and a lot of inexperienced investors seeking opportunities, there are also scammers looking to trick them and earn some money.
This means that you need to carefully check the firms, whether they are registered and regulated, what their product is, their history, their backers. Read reviews published by trustworthy sources, and check out advice given by experts in the field. Any company that promises too much while being basically unheard of is likely fake or at best, legitimate but uncertain.
However, the safest way to invest in AI stock is to consider AI-focused exchange-traded funds (ETFs). There are several reasons why this is a good idea. First, ETFs provide exposure to a broad range of AI companies. Second, these are all real, public companies whose stock is listed on prominent exchanges. This means that the experts have evaluated them and have found that they are the real deal. Third, investing in a broad range of stocks means that you will diversify your portfolio, which is one of the base rules of successful investing — never put all of your eggs in a single basket.
An advantage of AI ETFs also lies in the fact that you don’t have to pick the stocks that you would invest in on your own. The best opportunities have already been selected by expert investors, who have created a relatively safe collection. That way, even if one or several stocks perform negatively, others will still allow the entire ETF to perform well in a group effort.
Various subsectors within the technology industry have indirect ties to AI chatbot technology, such as semiconductors, network equipment providers, cloud service providers, central processing unit manufacturers, and the internet of things.
Some publicly traded companies operating in these subsectors include:
These companies may potentially benefit from the advancements in AI chatbot technology, as their products and services are closely related to the underlying infrastructure and hardware required to support AI applications.
Investing in AI via ETFs offers an accessible and diversified approach for those interested in this rapidly growing sector. ETFs bundle together a variety of stocks, providing investors with exposure to an entire sector rather than relying on the performance of individual companies. Here’s a simple guide to investing in AI ETFs as of June 2023:
AI ETFs are investment funds traded on exchanges that focus on companies developing or heavily using AI technology in their operations. These may include tech giants with significant AI operations, smaller startups pioneering new AI innovations, or businesses that apply AI in novel ways. By investing in an AI ETF, you are essentially buying shares in multiple AI-focused companies at once, thereby spreading out your risk.
As with any investment, there are risks involved with AI ETFs. The AI industry is still emerging and may experience rapid changes and volatility. It’s also heavily influenced by regulatory decisions that can impact the value of AI companies.
In summary, investing in AI ETFs is a way to gain broad exposure to the AI sector while mitigating some of the risks of investing in individual AI stocks. As always, thorough research, careful planning, and an understanding of your risk tolerance and investment goals are crucial to successful investing.
Global X Robotics & Artificial Intelligence ETF (BOTZ): BOTZ seeks to provide investors with exposure to companies involved in the development and production of robotics, automation, and artificial intelligence technologies. It invests in companies that are expected to benefit from the increasing adoption of automation in various industries, such as manufacturing, healthcare, and finance. The ETF is diversified across different sectors and geographies, with the largest holdings in companies such as NVIDIA, Intuitive Surgical, and Keyence.
iShares Robotics and Artificial Intelligence ETF (IRBO): IRBO aims to track the investment results of an index composed of companies involved in the development and production of robotics and artificial intelligence products and services. It invests in companies that are expected to benefit from the increasing use of robotics and AI in various industries, such as healthcare, manufacturing, and logistics. The ETF is well-diversified across different sectors and geographies, with the largest holdings in companies such as NVIDIA, Intuitive Surgical, and Keyence.
First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT): ROBT seeks to provide investors with exposure to companies involved in the development and production of robotics, automation, and artificial intelligence technologies. It invests in companies that are expected to benefit from the increasing use of automation and AI in various industries, such as healthcare, finance, and logistics. The ETF is diversified across different sectors and geographies, with the largest holdings in companies such as NVIDIA, Amazon, and Microsoft.
Global X Future Analytics Tech ETF (AIQ): AIQ seeks to track the investment results of an index composed of companies involved in the development and utilization of artificial intelligence and big data analytics. It invests in companies that are expected to benefit from the growing importance of data analytics and AI in various industries, such as healthcare, finance, and consumer goods. The ETF is diversified across different sectors and geographies, with the largest holdings in companies such as NVIDIA, Alphabet, and Amazon.
WisdomTree Artificial Intelligence ETF (WIAI): WIAI seeks to provide investors with exposure to companies involved in the development and utilization of artificial intelligence technologies. It invests in companies that are expected to benefit from the increasing adoption of AI in various industries, such as healthcare, finance, and consumer goods. The ETF is diversified across different sectors and geographies, with the largest holdings in companies such as NVIDIA, Alphabet, and Amazon.
Overall, these ETFs offer investors a way to gain exposure to the growing importance of AI technology in various industries. However, investors should conduct thorough research and consult with a financial advisor before investing in any of these ETFs, as they do carry risks and expenses.
Pegasystems, trading under the ticker symbol PEGA on Nasdaq, is a software company known for its work in cloud-based customer engagement and operational excellence. Although not an ETF itself, it is often included in AI and technology-focused ETFs due to its investment in AI, machine learning, and automation to personalize customer interactions and streamline business processes. As such, PEGA offers an investment opportunity into a firm actively leveraging AI capabilities.
ANSYS, represented by the ticker symbol ANSS on Nasdaq, is a global corporation specializing in engineering simulation software. Its products allow companies to simulate how their products will function in the real world, which can involve the use of AI. Like Pegasystems, ANSYS is often included in AI-focused ETFs, offering an opportunity to invest in a company at the intersection of engineering and AI.
Luminar Technologies (Nasdaq:LAZR)
Luminar Technologies, traded under the ticker LAZR, is a company that specializes in lidar technology, a crucial component for many autonomous vehicle systems. Luminar leverages AI to improve its lidar systems’ object detection capabilities, making it another company often included in AI and technology-oriented ETFs. Investing in LAZR provides exposure to the autonomous vehicle industry and its significant AI application.
Investments in Artificial Intelligence (AI) technologies present a dual-sided coin, encompassing potential rewards and inherent risks, much like any other investment domain.
On the promising side, AI investments offer substantial opportunities for growth. As technology continues to advance at a rapid pace, AI is being increasingly integrated into various industries, from healthcare and education to finance and entertainment. The increasing demand for AI applications and their potential for transformative impact on numerous sectors signifies a lucrative investment prospect.
Moreover, AI’s ability to automate complex tasks, streamline operations, and uncover insights from vast amounts of data points to an optimistic future. Investments in AI technology companies or AI-focused funds could potentially yield high returns given the escalating global reliance on AI.
However, alongside the potential rewards, investments in AI also carry inherent risks that should not be overlooked. AI is a highly technical and rapidly evolving field, which can make it challenging for investors to fully understand and predict. The lack of transparency or understanding can lead to misjudgments about the value and potential of certain AI ventures.
Further, regulatory uncertainties surrounding AI pose another risk. As governments grapple with AI’s ethical implications and the need for regulatory frameworks, policy changes could impact the profitability and legality of certain AI applications.
In conclusion, while AI investments hold tremendous potential, they should be approached with a comprehensive understanding of the sector, thorough due diligence, and a well-considered risk management strategy. Like any investment, there’s no guarantee of returns, but with careful planning and informed decisions, AI investments can be a part of a diversified investment portfolio.
Primarily, investment and funding in OpenAI come from a select group of investors and partners. These are usually venture capital firms, private equity firms, or other institutional investors.
If you are an individual investor, direct investment in OpenAI might not be possible unless you become a partner or if the organization decides to go public via an Initial Public Offering (IPO) or a merger with a Special Purpose Acquisition Company (SPAC), for example.
However, you could potentially gain indirect exposure to OpenAI by investing in companies or funds that are known to partner with or invest in OpenAI. For example, if a publicly traded tech company invests in OpenAI or collaborates on certain projects, an investment in that company would give you some degree of exposure to OpenAI’s work.
It’s crucial to note that investing in such a way involves considerable research, as the performance of your investment will not be solely tied to OpenAI’s performance, but to the other activities of the company or fund you’re investing in as well.
India has been making significant investments in research and development (R&D) in artificial intelligence (AI) and other key digital technologies in recent years. The government of India has identified AI as a key area for national development and has launched several initiatives to promote AI research and development in the country.
In 2018, the government established the National Program on AI (NPAI), which aims to establish India as a global hub for AI research and development. The NPAI includes initiatives such as establishing AI research centers of excellence, creating a national AI marketplace, and promoting research collaborations between academia and industry.
Additionally, the Indian government has established the AI for All program to promote AI education and awareness among students and professionals. The program aims to train over one million individuals in AI and related technologies by 2021.
Several academic institutions in India are also actively involved in AI research and development. The Indian Institutes of Technology (IITs) are leading research in areas such as machine learning, natural language processing, and computer vision. Other institutions such as the Indian Institute of Science (IISc), the Indian Statistical Institute (ISI), and the Tata Institute of Fundamental Research (TIFR) are also involved in AI research.
The Indian private sector is also investing in AI and digital technologies. Companies such as Infosys, Wipro, and Tata Consultancy Services (TCS) are developing AI solutions for industries such as healthcare, finance, and retail. Additionally, startups such as Haptik, SigTuple, and Niramai are also actively involved in AI research and development.
Overall, India is making significant investments in AI and key digital technologies and is positioning itself as a global hub for AI research and development.
As we navigate through the 21st century, Artificial Intelligence (AI) stands poised to usher in a new era reminiscent of a modern-day gold rush. With AI technology infiltrating every sector of the economy, from healthcare and finance to education and entertainment, its impact is predicted to be transformative and ubiquitous.
AI’s potential to automate complex tasks, generate insightful analytics from big data, and drive efficiencies across industries hints at a future where it becomes an integral part of our societal fabric. Investment in this sphere, therefore, may not be merely a matter of technological advancement, but rather a ticket to a ground-breaking financial future.
Today’s growing emphasis on AI infrastructure, from robust data centers to sophisticated algorithms, signifies an escalating global dependency on AI. This momentum, akin to the fervour witnessed during the historic gold rush, highlights the rewarding prospects for those ready to venture into the AI landscape.
The current stage of AI development could be likened to the early days of the gold rush – a time when the biggest fortunes were made. In that context, now might be an opportune time to invest, potentially leading to significant returns as the AI market continues to grow and mature.
However, it’s crucial to approach this ‘AI gold rush’ with informed caution. The AI sector, like any investment opportunity, comes with its share of risks and uncertainties. Its rapid evolution, combined with regulatory and ethical considerations, can impact its trajectory. Therefore, while the potential for returns may be high, a comprehensive understanding of the sector, careful due diligence, and a well-considered risk management strategy are paramount for any investor.
It’s also worth noting that, much like the gold rush, not every investment will strike gold. Diversification, therefore, remains a key investment strategy, even in the face of a potentially lucrative sector like AI.
In conclusion, while we cannot predict with certainty the precise trajectory of AI’s growth, its widespread adoption and transformative potential signal a promising horizon for investors. This ‘AI gold rush’, therefore, may represent a significant and timely investment opportunity for those willing to embrace the exciting possibilities of this burgeoning field.
Investing in AI can be an exciting opportunity for investors who want to take advantage of the growing importance of AI technology in various industries. However, it is important to conduct thorough research before investing in any AI-focused ETFs, and to consider factors such as the ETF’s expense ratio, diversification, and risk tolerance. Alternatively, AI-powered trading tools could provide a suitable learning path with considerable financial rewards, if due diligence and prudence are always properly carried out.
According to Grand View Research, the global AI market size was valued at $136.55 billion in 2022. Furthermore, it is expected to expand at a compound annual growth rate of 37.3% between the years 2023 and 2030. As for the largest trends in AI investing, they include enterprise, medicine and therapeutics, Web3 and Data Science, as well as security.
According to experts, the rise of AI would make microchip producers and cybersecurity services highly sought-after. Apart from that, experts also suggest paying attention to the companies tied to blockchain and the metaverse. Lastly, it is recommended to look for AI stocks that use AI technology to improve products or gain a strategic edge.
One of the biggest risks of investing in AI includes the lack of understanding what AI is, which leads many investors to invest in any public company that mentions AI or machine learning. The recent momentum in terms of AI investments has led many opportunistic money managers to take advantage of raising capital. Plus, there are real AI projects that simply do not have a good business plan or even a good idea. The best way to avoid these risks is through research and understanding what AI is and what the company you are investing in does.
India’s AI market size has reached $680.1 million in 2022, and just like in other regions, the figure will only increase in years to come. It is expected that AI and ML will power the future digital marketplace, agriculture, medicine, autonomous mobility, finance, robotics, retail, manufacturing, and more.
When evaluating an AI company in order to determine whether or not to invest in it, you will have to pay close attention to its product. It needs to have data connectors, as AI is useless without data. It also needs flexibility, ease of use, ethics, cost, and alike.
AI is more of a software computer program than hardware, allowing computer systems to mimic human actions via different data patterns and insights. AI hardware can include special AI chips meant to run AI software, GPUs, which remain the most common AI hardware, and alike. As for AI services companies, this includes firms that offer finished products powered by AI, such as chatbots, trading bots, AI clouds, and alike.
Some of the best AI stocks right now include Adobe (ADBE), Alphabet (GOOGL), Amazon (AMZN), IBM (IBM), Micron Technology (MU), Microsoft (MSFT), Nvidia (NVDA), Tesla (TSLA), and alike. All of them are major corporations whose stocks have traditionally seen massive growth, and they command the kind of capital that can secure good products with plenty of research and testing and therefore, have the greatest success. And, if a new startup happens to have better technology, they will simply acquire it and integrate this tech, further enriching their own shares.
One of India’s greatest concerns regarding AI is ethical use, which is why a lot of laws, regulations, and discussions are dedicated to this aspect of emerging technologies. Indian authorities are aware that the world has become increasingly dependent on technology, as witnessed during the COVID-19 pandemic, which also revealed some dangers of this tech, so regulators are responding accordingly. India is not anti-AI or anti-technology — quite the contrary — so the possibility of it banning such tech is highly unlikely. However, it does want to make it safe for use and to ensure that it would be developed in a way that will not endanger its people.
A good way to diversify your portfolio without a lot of effort is to invest in AI ETFs, which consist of a large number of stocks that are believed to be safe and that have great potential. Apart from that, investing in blockchain-based companies is also believed to be a good move at this time, especially if you are looking for long-term investments. Other than that, electric vehicles, companies in the robotics sector, cybersecurity, and alike, are all considered to be good choices.
When choosing a brokerage for AI stock investments, things that you should consider is that they offer AI stocks, naturally, as well as that they support a payment method that you prefer. Make sure to invest through reputable brokers, preferably those with low fees, and make sure to only use regulated and registered companies. As for which ones to use, Libertex and Admirals are good options, and so are Zerodha and Upstox.