PennyStocks Mod here with another round of updates and additional due diligence on $VRSSF (OTCQX)/ $VERS (NEO) to share. If you remember, I initially mentioned Verses AI 2 months ago, and it’s up 63% this week, and up 121% in the last month alone. Since writing a DD for this stock on Reddit, it has nearly tripled. Volume has increased heavily since. Here is why I am EVEN MORE bullish now:
Original DD 2 months ago: “https://www.reddit.com/pennystocks/comments/12awmzw/verses_ai_has_great_catalysts_that_can_help_it/”
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TLD Investment Thesis:
VERSES AI is a cognitive computing company that is developing a new type of AI that is designed to mimic human understanding. Verses AI is called GIA, has developed an advanced AI platform called KOSM which powers it. KOSM can connect data, rules, simulations, and processes to help businesses make better decisions. It also has a broad range of applications in industries such as smart cities, smart grids, and smart homes, to name a few.
Contrary to existing Generative AI and Large Language Models (LLMs) like OpenAI’s GPT, Google’s BARD, and Meta’s LLAMA, which generate content based on inferred patterns but lack deep comprehension, VERSES is striving for a more human-like understanding. They aim for their AI not merely to mimic but to truly understand, incorporating new information post-training and applying nuance, similar to a human brain.
Today (6/5), the largest law firm in the world, Dentons, has co-authored a 50-page whitepaper with VERSES on how to govern AI, titled “A Path to Global AI Governance”. The report by VERSES and Dentons is a valuable contribution to the debate about the governance of AI, as it is a set of protocols, believed to become the backbone of AI governance. The report’s recommendations are comprehensive and well-argued, and they offer a roadmap for how to ensure that AI is used safely and responsibly.
Verses AI has a strong team of experienced AI professionals, and it has raised over $20 million in funding (this funding will help the company to grow its business and develop its AI platform). The company is already working with Fortune 500 companies, and it has the potential to be a major player in the AI industry.
VERSES’s leadership and technology AI team is led by Dr. Karl Friston (Dr. Karl Friston is a prominent British neuroscientist and theoretical neurobiologist, widely recognized for his work on brain imaging, neural networks, and computational models of brain function) and others who have a lot of experience in AI, IoT, Robotics, VAR, Enterprise Software, and Global Sales.
If GIA is successful, it could revolutionize the field of AI. Here are some of the benefits of VERSES’s AI:

• It could be more accurate and less biased than current AI models.
• It could be able to learn and adapt more easily.
• It could be able to interact with the physical world in a more natural way.

Looking at the AI industry’s prospective growth, it’s slated to become a trillion-dollar industry by 2030, with a CAGR of over 40%. The AI market is growing rapidly. The global AI market is expected to reach $422.37 billion by 2028.
VERSES offers an AI ecosystem for a variety of global solutions to B2B, B2G and B2C businesses in across all major industries. Their business model includes various revenue streams such as licensing, Joint Ventures, KOSM fees, compute fees, transaction fees, and marketplace fees.
Verses AI’s focus on diversifying revenue streams and strategic collaborations offers a strong and sustainable business model. The AI industry’s exponential growth, plus Verses AI’s strong foundation and partnerships are very attractive.
VERSES’s AI could have a major impact on a variety of industries, including:

• Manufacturing: GIA could be used to automate tasks, improve quality control, and reduce costs.
• Logistics: GIA could be used to optimize transportation routes, track inventory, and manage supply chains.
• Healthcare: GIA could be used to diagnose diseases, provide personalized care, and develop new treatments.
• Education: GIA could be used to personalize learning, provide feedback, and create engaging educational experiences.

VRSSF has good upside potential, a strong business model with multiple revenue streams, significant revenue potential, near-term growth catalysts, a strong cash position as well and has intentions to uplist onto NASDAQ
Verses AI is up while C3.ai $AI is down. The trading volume of VRSSF has increased a lot. The average volume stands at 369,753, but the most recent volume was nearly three times that at 1,092,582. This increased activity shows heightened investor interest and could signify a positive momentum shift.
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https://preview.redd.it/tgzgq9jmdf4b1.png?width=638&format=png&auto=webp&s=cc7bf54b08d27e414a49bec9a86e1a9dc23aa18c
Overall, the technical analysis data for Verses AI is positive. The stock is trading above its moving averages, the RSI is above 50 and rising, and volume is increasing. These are all bullish signs that suggest that the stock could continue to rise in the future.
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Financials/ Valuation Data:

• Revenue: Revenue has been growing steadily in recent quarters, with a 101.20% YoY quarterly revenue growth. This shows that the company is growing its business and generating more revenue.
• The sales growth from 2021 to 2022 is a 2,606.59%. The company has leaped from revenue of 128.5K to 3.48M in just one year. This demonstrates the increasing demand for their products and services and indicates that they’re effectively penetrating the market.
• Earnings: Earnings per share (EPS) has been negative in recent quarters, but it is trending upwards. This shows that the company is on the path to profitability.
• One critical takeaway from the financials is the company’s ability to control its operating expenses, which dropped significantly from $16.91 million to $4.27 million. This is a strong indication that management is focused on efficiency and cost control, which is an excellent sign for future profitability.
• Many young companies, especially in technology, often operate at a loss in their early years as they invest heavily in research, development, and market penetration. The fact that VRSSF has seen such rapid sales growth and improvement in gross income suggests they are on a great path.
• Cash flow: Cash flow from operations has been positive in recent quarters, which means that the company is generating enough cash to cover its operating expenses.
• Debt: Debt is relatively low, which means that the company does not have a lot of financial obligations.

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Technical Analysis & Price Action:
The trading volume of VRSSF is a noteworthy point. The average volume stands at 369,753, but the most recent volume was nearly three times that at 1,092,582, and recently trading more than 2,000,000 shares daily. This increased activity shows heightened investor interest and could signify a positive momentum shift.

• Moving averages: The 50-day moving average is rising, which is a bullish sign. The 200-day moving average is also rising, which is a sign of a long-term uptrend.
• Relative strength index (RSI): The RSI is above 50, which is a bullish sign. The RSI is also rising, which is a sign of increasing momentum.
• Bollinger bands: The Bollinger bands are widening, which is a sign of increasing volatility. However, the bands are still relatively narrow, which is a sign of a healthy market.
• Volume: Volume is increasing, which is a bullish sign. Increasing volume shows that more people are buying the stock, which is a sign of increasing demand.

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Conclusion: Overall, Verses AI is a company with a lot of potential. It has a strong team, a solid financial foundation, and a number of innovative products and services. Verses AI can revolutionize the field of AI by being more accurate and less biased than current models while being able to learn and adapt more easily. I believe that Verses AI has the potential to be a major player in the AI industry, and I am bullish on the company.
If you have any additional information, please let me know. Have you heard of it? Are you watching it? Do you own it?
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Original DD 2 months ago: “https://www.reddit.com/pennystocks/comments/12awmzw/verses_ai_has_great_catalysts_that_can_help_it/”
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Recent News/Catalysts:
In June 20023, the largest law firm in the world, Dentons, has co-authored a 50-page whitepaper with VERSES on how to govern AI, titled “A Path to Global AI Governance”. Dentons and VERSES have put forward a set of protocols, believed to become the backbone of AI governance. They offer a standard framework, aiming to foster the responsible growth of AI technologies. The report by VERSES and Dentons is a valuable contribution to the debate about the governance of AI. The report’s recommendations are comprehensive and well-argued, and they offer a roadmap for how to ensure that AI is used safely and responsibly.
In March 2023, Verses AI raised an additional C$600,000, bringing the total amount of capital raised to C$7,504,845.30. This funding will help the company to continue to grow and develop its AI technologies.
In March 2023, Verses AI announced a strategic partnership with SimWell, a leader in digital simulations. The partnership will combine Verses AI’s advanced AI technology with SimWell’s experience in building digital twins to deliver predictive modeling simulations. This collaboration will empower enterprise clients in various sectors to generate real-time models to make data-driven decisions, optimize processes, and reduce costs.
In February 2023, Verses AI announced the development of a next-generation AI personal assistant called GIA (General Intelligent Agent). GIA will automate data organization, predictive reasoning, and the ability to learn over time. GIA is poised to become the first intelligent all-in-one solution for anyone seeking a smarter way to organize, manage, and automate their personal and professional activities. Verses AI is planning the international beta rollout of GIA beginning in the summer of 2023.
In February 2023, Verses AI partnered with SVT Robotics to expand the application of AI in industrial environments, specifically warehouses and distribution centers. As the demand for automation and AI continues to grow, strategic partnerships like this can create a competitive edge and open up new opportunities for companies involved in the supply chain and logistics sector.
In November 2022, Verses Technologies and Blue Yonder have partnered to provide adaptive intelligence and Spatial Twin management applications to Blue Yonder’s global logistics customers. These applications will help improve workflow optimization, traceability, and intelligent automation in warehouses and distribution centers. This partnership is a good thing for the global supply chain. It will help companies to address some of the persistent challenges that they are currently facing, such as labor shortages, equipment availability, and the ripple effect of global bottlenecks. By implementing these advanced technologies, supply chain companies can enhance their routing, slotting, and capacity management. As the world continues to face supply chain challenges, this partnership is a good step towards addressing current supply chain issues by using AI technology. Additionally, it will help companies to automate tasks, which can free up employees to focus on more strategic work.

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https://preview.redd.it/sq9z4h66we4b1.jpg?width=720&format=pjpg&auto=webp&s=56d4c869a4935a6465883d06ada463cb69a4fee0
"Journey to the Himalayan Abode: How to Book an Unforgettable Kedarnath Package from Delhi"
Kedarnath is one of the most popular pilgrimage destinations in India, and for good reason. The temple of Kedarnath is one of the 12 Jyotirlingas, or sacred abodes of Lord Shiva, and it is located in a stunning setting in the Garhwal Himalayas.
If you choose the Kedarnath trip plan from Delhi, there are a few things you need to know. First, the best time to visit is during the summer months (June-September), when the weather is warm and sunny. Second, you will need to book a tour package in advance, as there are limited accommodations available in Kedarnath.
There are a number of tour operators that offer Kedarnath tour packages, and they vary in price and length. Some packages include transportation, accommodation, and meals, while others only include transportation and accommodation.
Here are the steps on how to book a kedarnath trek package
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1.Select a Delhi to Kedarnath tour plan operator.There are a number of tour operators that offer Kedarnath tour packages. You can find them online or by asking your travel agent.
2..Compare packages: Once you have chosen a few tour operators, compare their packages to find the one that best suits your needs. Make sure to compare the price, length, inclusions, and transportation options.
3 Book your package: Once you have found the perfect package, book it in advance. This is especially important if you are traveling during the peak season (June-September).
Here are some of the things you can expect on a Kedarnath tour package:
· Transportation: Most tour packages include transportation to Kedarnath by bus or train.
· Accommodation: Most tour packages include accommodation in a hotel or guesthouse in Kedarnath.
· Meals: Most tour packages include breakfast, lunch, and dinner.
· Sightseeing: Most tour packages include guided tours of Kedarnath and the surrounding areas.
· Trekking: If you are looking for an adventure in kedarnath, you can also book a trekking package to Kedarnath.
Here are some of the places you can visit on a Kedarnath tour package:
· Kedarnath Temple: The Kedarnath Temple is one of the 12 Jyotirlingas, or sacred abodes of Lord Shiva.
· Gaurikund: Gaurikund is a hot spring located near Kedarnath.
· Kedarnath Wildlife Sanctuary: The Kedarnath Wildlife Sanctuary is home to a variety of animals, including snow leopards, bears, and deer.
· Valley of Flowers: The Valley of Flowers is a UNESCO World Heritage Site located near Kedarnath.
· Hemkund Sahib: Hemkund Sahib is a Sikh pilgrimage site located near Kedarnath.
A Kedarnath tour package is a great way to experience the beauty and spirituality of the Garhwal Himalayas. If you are planning a Kedarnath trek from Delhi, be sure to book our tour package in advance..
TO know more about best places to visit in Uttrakhand Click Here !

Predictmedix – a great way to surf the Artificial Intelligence wave.
https://preview.redd.it/ebltwtbjqe4b1.jpg?width=741&format=pjpg&auto=webp&s=d0009582d4b19ac1bb9536165ec88b94b8359023
There is a saying attributed to Mark Twain that goes, “History doesn’t repeat itself, but if often rhymes.” This means circumstances might be different but similar events often recur. This is good because securities regulators demand that you make it clear that in the financial markets, “Past performance is no guarantee of future results.”
However, investment analysts continue to use rhymes and here’s one that could help you see sizeable investment returns from Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF). This is how the rhyme comes together:
A. The 1990s technology boom: The parallel I see is between the current Artificial Intelligence cycle and the dot-com stock market cycle of ≈1990 to ≈ 2002. As background, the 1990s either developed or laid the groundwork for changes that completely transformed the world we live in. Out of that time came many new technologies and related developments and each was highly disruptive. Here is a very brief list of some of those developments:
(1) Nokia was the first mass-produced cellphone offered in 1992 with the ability to send and receive phone calls as well as store data (e.g. phone numbers).
(2) The World Wide Web, a.k.a. the Web browser was proposed in 1990 and debuted in 1991. This was the start of the Internet, Websites, e-mails and a massive amount of information that would become available to everyone.
(3) With the explosion of data available, finding it became a challenge. Mosaic started as the first search engine in 1993 followed by Yahoo in 1994 and Google in 1998. Today, Google has risen to the top and become synonymous with an Internet search. Google it.
(4) Other important developments of that time included the growth in the capacity of microprocessors, Photoshop, texting, rechargeable lithium-ion batteries, realistic videogames for a more adult market, collecting and using DNA, the start of e-tailing and more.
(5) Finally, we have the stock market. Cisco, Dell, Intel and Microsoft are sometimes referred to as the four horsemen of the 1990s tech boom. But we can’t ignore Apple and Google and there were many more that benefited. The smaller, new, Initial Public Offering companies came to the fore with incredibly high returns in the second half of the 1990s.
The chart to the right shows how stock markets performed during the 1990’s high-tech boom. A few things are worth noting:
(1) The Dot.Com stock market cycle lasted a long t time. Essentially, more than the decade of the 1990s. It’s length reflected the importance of the fundamental changes taking place.
(2) There was an important development regarding the stock market that has become part of the stock market legend. On December 5, 1996, Federal Reserve Board Chairman Alan Greenspan in a televised speech used the term “irrational exuberance” to describe a stock market that he thought was highly speculative and overvalued. His comment was intended as a warning from the Fed that the stock market, driven by the high-tech developments described above, was overvalued. His timing was five years early which is a lifetime in the stock market.
(3) The five years after Greenspan’s “irrational exuberance” statement was the most profitable for investors of the entire ten years plus of the stock market cycle.
As you sit reading this brief, imagine your life without a cell phone, the Internet, e-mail and text messages. How different would your life be without just these four products that emerged from the 1990s. A more relevant question might be how different would your life be if you had purchased shares in Apple or Cisco or Dell or Google or Microsoft back then?
B. The Artificial Intelligence Boom (AI): The term Artificial Intelligence was created in 1955. The idea was to have a machine that could take data, and find patterns that would enable it to make predictions and reach conclusions (make decisions). The Oxford Dictionary defines AI as “The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
It was Moore’s Law in 1975 that stated the capacity of semiconductors would continue to double every two years which enabled computers to be able to put into practice the AI Boom that is taking place today. Current forecasts say the AI industry will grow to $900 billion by 2026 and $15.7 trillion by 2030. AI growth in the 1920s could dwarf anything high-tech was able to accomplish in the 1990s.
(1) There is an Artificial Intelligence (AI) boom going on and many people don’t yet realize it is even happening. AI is used in:
i. Self-driving and parking cars. AI is used by Audi, Mercedes-Benz, Tesla, Toyota and Volvo.
ii. Maps and navigation. Enter where you are and where you want to go by car and Google Maps, for example, will give you a choice of routes, the time optimal route taking into account construction and traffic.
iii. Facial detection or recognition. Facial detection identifies a human face or facial recognition that identifies a specific face that can be used for surveillance and security.
iv. Digital assistants such as Amazon’s Alexa, Apple’s Siri, Google’s Now and Microsoft’s Cortana. When combined with search and recommendation AI, Alexa or Siri is able to learn your preferences and recommend things you are interested in.
v. Customer service chatbots that answer frequently asked questions, track orders or direct calls. Often people will be unaware they are dealing with a machine.
vi. Vehicle recognition use computer vision and deep learning to find a specific car on a surveillance video.
vii. Robot vacuums can scan a living area, look for and remember objects in the way, remember the best route for cleaning the area and decide how many times it should repeat cleaning a specific area.
It is estimated that by 2030, between 400 and 800 million jobs will be displaced by Artificial Intelligence and 375 million people will have to change to a totally different type of work. It is also forecast that it is not just lower-paying, blue-collar jobs that will be replaced by AI. Jobs such as accountants, lawyers, doctors, investment advisors and portfolio managers might all be substantially eliminated. AI will impact all industries and the rate of change will be exponential, that is, the rate of change will accelerate.
For example, what does a doctor do? In general, a doctor gathers new information, refers to a patient’s medical history, refers to a medical book or today’s Internet, makes a diagnosis and provides s treatment. This is also what a lawyer does. AI might reach the point where it can do it faster and better than a human..
AI does present threats to human existence. As AI is changing exponentially, it will happen faster than the technology boom of the 1990s. It took technology 20 years to produce the changes we discussed above. AI could produce equivalent changes in 10 or 15 years. For example, ChatGPT, an AI product went from zero to 100 million users within months making it the fastest-growing consumer software product in history. There will be others.
(2) The AI shift could drive economic change and a stock market cycle at least as significant as the last “dot.com” cycle. The “go-to” companies today for participation in AI are the likes of Alphabet (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), Meta (NASDAQ: META), Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA) and Oracle (NYSE: ORCL). These are very large companies. GOOGL has a market cap of $1.6 trillion, AMZN has a market cap of $1.2 trillion, META has a market cap of $$648 billion, MSFT has a market cap of $2.4 trillion, NCDA has a market cap of $963 billion and ORCL has a market cap of $282 billion.
(3) While these are excellent businesses, they are also amongst the world’s largest companies. In 2022, GOOGL, META and MSFT purchased 2 out of every 3 AI chips. In my opinion, it is almost unthinkable that GOOGL can be a ten-bagger from a base market cap of $1.6 trillion or AMZN from $1.2 trillion. But it is clear these stocks now have a major component of their value derived from involvement in Artificial Intelligence and it is not surprising that early adopters would choose a lower risk/lower return approach to gain exposure to an emerging Artificial Intelligence industry.
(4) The changes created by AI also carry some risks. The speed of change will be challenging to human beings. There are forecasts that say one in four workers globally will see their jobs disappear and one in eight workers will have to be retrained in a totally unrelated field. During the industrial revolution and the tech boom, there was always the promise of more and better jobs. With AI we may have reached the point where machines actually do replace workers.
(5) Cathie Wood is a well-known and widely followed money manager with a reputation for expertise in the Artificial Intelligence sector. Wood manages a range of portfolios including the ARK Innovation Exchange Traded Fund (ARKK) and since its founding in 2014, Bloomberg estimates NDVA has contributed 13% of the fund’s 112% total return only behind Grayscale Bitcoin Trust, Invitae Corp and Tesla. That is all positive but Wood sold the ARKK holding in NVDA in January 2023 just before it rallied strongly adding some $560 billion to its market cap with $200 billion coming on one day after reporting earnings. Wood’s investors have basically missed the huge rally in the stock and the sector in 2023.
(6) But there is another phase I would look for and that is the participation of smaller, retail investors. Whether it was in the tech cycle I discussed above, the “meme” stocks or commodity exploration and development cycles in the past, the retail investor buys in before the bull market ends. Market pundits such as Citi global asset allocation and Vanda Research make the same observation: where is the retail investor?
We know the institutional investors have been getting in. So far in 2023 according to Bloomberg, the top 4% of stocks in the S&P 500 have contributed 94% of the index return and 8 of the top 20 include Apple, Microsoft, Amazon, Alphabet Class A, NVIDIA, Alphabet Class C, Tesla and Meta. In other words, the top 2% of the stocks in the S&P 500 contributed 94% of the return. Through mid-May, if the AI stocks are omitted, the S&P Index would be down -1.4% instead of up +8.3%. All of these stocks are AI leaders and each of them is an institutional stock. Yet, I believe the retail investor will come into the market and when they do, it is stocks like PMED for which they have always had an appetite.
C. I think investors will get more bang for their buck by investing in a small company like Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) with a total commitment to AI. From a base market cap of $16.6 million and, as I have pointed out in recent reports, many different business verticals to get them higher, I see PMED as a unique opportunity for aggressive growth investors. It is hard to imagine any decade having more of an impact on the ensuring socio-economic decades than the 1990s. Imagine your activities today without your cellphone, Internet, email and texting.
I expect the cycle driven by AI to be a long one, similar to the dot-com cycle that lasted longer than the decade of the 1990s. To the right is a chart published by Luke Lango’s Hypergrowth Investing. It shows the stock market in the 1990s and overlays current results. The parallels Lango sees include:
• Federal Reserve’s tight money policy slowed economic growth in 1990 as it is doing currently.
• In 1990, the markets were down around 20% and in 2022 stocks dropped around 25%.
• In late 1990, the Fed started reducing interest rates and the markets rebounded.
• In late 2022, the Fed has turned less hawkish and into 2023 has slowed the pace of interest rate increases. The markets have been recovering.
• In the early 1990’s, the dot-com stock market rally began and the market would advance generally higher for the rest of the decade and into the new millennium.
• Today, it is Artificial Intelligence that is pushing stocks higher and given my expectations for AI, it could stock prices higher until at least 2030.
Conclusion: I believe Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is exceptionally well positioned to participate in the upcoming boom in Artificial Intelligence. There are many different ways to describe market cycles that evolve around such drivers. Here is mine:

1. Accumulation: the earliest buyers tend to be larger institutions that gain the information necessary to be early adopter. I have given several statistics to show this has been happening.
   
2. Retail Participation/Speculation: as the story gains acceptance, less experienced investors enter the market and prices begin to rise more quickly. After two to three years of combined buying by large and small investors, it is possible to identify speculative activities such as very rapid increases in a stock price or underwritings of companies based on questionable valuations. This is the next phase I see ahead for the current AI cycle.
   
3. Distribution/Sale: At some point, toward the end of the Retail Participation/Speculation phase, some investors will begin to sell. It is popular to believe that institutional investors or “smart money” sell at this stage. During the many years, I have spent in the investment business, this is not true. Institutions can hold on to their AI stocks for far too long and end up seeing their portfolios incinerated. This is still many years away. The challenge today with a stock like PMED is not getting out; it is getting in.
   
4. Bear Market: eventually there will be a broad sell-off of AI stocks. Some institutions will sell without regard for their impact on the market. Margin buyers will get margin calls and may be forced to sell again without regard to price. At this time, over half of the AI companies trading at that time will simply disappear. Some will be successful but remain smaller. Some will merge with another AI company. Some will be acquired. Very few will survive and become leaders in the industries. They will become the Alphabets, Amazons, Metas, Microsofts, Nvidias, and Oracles of the 2040s and 2050s.
   

I started out with the quote “History doesn’t repeat itself, but it often rhymes.” So I don’t think the AI cycle of the 2020s will be the same as the high-tech cycle of the 1990s but I think it will be similar. If you agree, Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is a stock to buy for your portfolio.

Predictmedix – a great way to surf the Artificial Intelligence wave.
https://preview.redd.it/7ygwvnfiqe4b1.jpg?width=741&format=pjpg&auto=webp&s=3d5dce5239fb035e20b3e04c0056faa56b565626
There is a saying attributed to Mark Twain that goes, “History doesn’t repeat itself, but if often rhymes.” This means circumstances might be different but similar events often recur. This is good because securities regulators demand that you make it clear that in the financial markets, “Past performance is no guarantee of future results.”
However, investment analysts continue to use rhymes and here’s one that could help you see sizeable investment returns from Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF). This is how the rhyme comes together:
A. The 1990s technology boom: The parallel I see is between the current Artificial Intelligence cycle and the dot-com stock market cycle of ≈1990 to ≈ 2002. As background, the 1990s either developed or laid the groundwork for changes that completely transformed the world we live in. Out of that time came many new technologies and related developments and each was highly disruptive. Here is a very brief list of some of those developments:
(1) Nokia was the first mass-produced cellphone offered in 1992 with the ability to send and receive phone calls as well as store data (e.g. phone numbers).
(2) The World Wide Web, a.k.a. the Web browser was proposed in 1990 and debuted in 1991. This was the start of the Internet, Websites, e-mails and a massive amount of information that would become available to everyone.
(3) With the explosion of data available, finding it became a challenge. Mosaic started as the first search engine in 1993 followed by Yahoo in 1994 and Google in 1998. Today, Google has risen to the top and become synonymous with an Internet search. Google it.
(4) Other important developments of that time included the growth in the capacity of microprocessors, Photoshop, texting, rechargeable lithium-ion batteries, realistic videogames for a more adult market, collecting and using DNA, the start of e-tailing and more.
(5) Finally, we have the stock market. Cisco, Dell, Intel and Microsoft are sometimes referred to as the four horsemen of the 1990s tech boom. But we can’t ignore Apple and Google and there were many more that benefited. The smaller, new, Initial Public Offering companies came to the fore with incredibly high returns in the second half of the 1990s.
The chart to the right shows how stock markets performed during the 1990’s high-tech boom. A few things are worth noting:
(1) The Dot.Com stock market cycle lasted a long t time. Essentially, more than the decade of the 1990s. It’s length reflected the importance of the fundamental changes taking place.
(2) There was an important development regarding the stock market that has become part of the stock market legend. On December 5, 1996, Federal Reserve Board Chairman Alan Greenspan in a televised speech used the term “irrational exuberance” to describe a stock market that he thought was highly speculative and overvalued. His comment was intended as a warning from the Fed that the stock market, driven by the high-tech developments described above, was overvalued. His timing was five years early which is a lifetime in the stock market.
(3) The five years after Greenspan’s “irrational exuberance” statement was the most profitable for investors of the entire ten years plus of the stock market cycle.
As you sit reading this brief, imagine your life without a cell phone, the Internet, e-mail and text messages. How different would your life be without just these four products that emerged from the 1990s. A more relevant question might be how different would your life be if you had purchased shares in Apple or Cisco or Dell or Google or Microsoft back then?
B. The Artificial Intelligence Boom (AI): The term Artificial Intelligence was created in 1955. The idea was to have a machine that could take data, and find patterns that would enable it to make predictions and reach conclusions (make decisions). The Oxford Dictionary defines AI as “The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
It was Moore’s Law in 1975 that stated the capacity of semiconductors would continue to double every two years which enabled computers to be able to put into practice the AI Boom that is taking place today. Current forecasts say the AI industry will grow to $900 billion by 2026 and $15.7 trillion by 2030. AI growth in the 1920s could dwarf anything high-tech was able to accomplish in the 1990s.
(1) There is an Artificial Intelligence (AI) boom going on and many people don’t yet realize it is even happening. AI is used in:
i. Self-driving and parking cars. AI is used by Audi, Mercedes-Benz, Tesla, Toyota and Volvo.
ii. Maps and navigation. Enter where you are and where you want to go by car and Google Maps, for example, will give you a choice of routes, the time optimal route taking into account construction and traffic.
iii. Facial detection or recognition. Facial detection identifies a human face or facial recognition that identifies a specific face that can be used for surveillance and security.
iv. Digital assistants such as Amazon’s Alexa, Apple’s Siri, Google’s Now and Microsoft’s Cortana. When combined with search and recommendation AI, Alexa or Siri is able to learn your preferences and recommend things you are interested in.
v. Customer service chatbots that answer frequently asked questions, track orders or direct calls. Often people will be unaware they are dealing with a machine.
vi. Vehicle recognition use computer vision and deep learning to find a specific car on a surveillance video.
vii. Robot vacuums can scan a living area, look for and remember objects in the way, remember the best route for cleaning the area and decide how many times it should repeat cleaning a specific area.
It is estimated that by 2030, between 400 and 800 million jobs will be displaced by Artificial Intelligence and 375 million people will have to change to a totally different type of work. It is also forecast that it is not just lower-paying, blue-collar jobs that will be replaced by AI. Jobs such as accountants, lawyers, doctors, investment advisors and portfolio managers might all be substantially eliminated. AI will impact all industries and the rate of change will be exponential, that is, the rate of change will accelerate.
For example, what does a doctor do? In general, a doctor gathers new information, refers to a patient’s medical history, refers to a medical book or today’s Internet, makes a diagnosis and provides s treatment. This is also what a lawyer does. AI might reach the point where it can do it faster and better than a human..
AI does present threats to human existence. As AI is changing exponentially, it will happen faster than the technology boom of the 1990s. It took technology 20 years to produce the changes we discussed above. AI could produce equivalent changes in 10 or 15 years. For example, ChatGPT, an AI product went from zero to 100 million users within months making it the fastest-growing consumer software product in history. There will be others.
(2) The AI shift could drive economic change and a stock market cycle at least as significant as the last “dot.com” cycle. The “go-to” companies today for participation in AI are the likes of Alphabet (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), Meta (NASDAQ: META), Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA) and Oracle (NYSE: ORCL). These are very large companies. GOOGL has a market cap of $1.6 trillion, AMZN has a market cap of $1.2 trillion, META has a market cap of $$648 billion, MSFT has a market cap of $2.4 trillion, NCDA has a market cap of $963 billion and ORCL has a market cap of $282 billion.
(3) While these are excellent businesses, they are also amongst the world’s largest companies. In 2022, GOOGL, META and MSFT purchased 2 out of every 3 AI chips. In my opinion, it is almost unthinkable that GOOGL can be a ten-bagger from a base market cap of $1.6 trillion or AMZN from $1.2 trillion. But it is clear these stocks now have a major component of their value derived from involvement in Artificial Intelligence and it is not surprising that early adopters would choose a lower risk/lower return approach to gain exposure to an emerging Artificial Intelligence industry.
(4) The changes created by AI also carry some risks. The speed of change will be challenging to human beings. There are forecasts that say one in four workers globally will see their jobs disappear and one in eight workers will have to be retrained in a totally unrelated field. During the industrial revolution and the tech boom, there was always the promise of more and better jobs. With AI we may have reached the point where machines actually do replace workers.
(5) Cathie Wood is a well-known and widely followed money manager with a reputation for expertise in the Artificial Intelligence sector. Wood manages a range of portfolios including the ARK Innovation Exchange Traded Fund (ARKK) and since its founding in 2014, Bloomberg estimates NDVA has contributed 13% of the fund’s 112% total return only behind Grayscale Bitcoin Trust, Invitae Corp and Tesla. That is all positive but Wood sold the ARKK holding in NVDA in January 2023 just before it rallied strongly adding some $560 billion to its market cap with $200 billion coming on one day after reporting earnings. Wood’s investors have basically missed the huge rally in the stock and the sector in 2023.
(6) But there is another phase I would look for and that is the participation of smaller, retail investors. Whether it was in the tech cycle I discussed above, the “meme” stocks or commodity exploration and development cycles in the past, the retail investor buys in before the bull market ends. Market pundits such as Citi global asset allocation and Vanda Research make the same observation: where is the retail investor?
We know the institutional investors have been getting in. So far in 2023 according to Bloomberg, the top 4% of stocks in the S&P 500 have contributed 94% of the index return and 8 of the top 20 include Apple, Microsoft, Amazon, Alphabet Class A, NVIDIA, Alphabet Class C, Tesla and Meta. In other words, the top 2% of the stocks in the S&P 500 contributed 94% of the return. Through mid-May, if the AI stocks are omitted, the S&P Index would be down -1.4% instead of up +8.3%. All of these stocks are AI leaders and each of them is an institutional stock. Yet, I believe the retail investor will come into the market and when they do, it is stocks like PMED for which they have always had an appetite.
C. I think investors will get more bang for their buck by investing in a small company like Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) with a total commitment to AI. From a base market cap of $16.6 million and, as I have pointed out in recent reports, many different business verticals to get them higher, I see PMED as a unique opportunity for aggressive growth investors. It is hard to imagine any decade having more of an impact on the ensuring socio-economic decades than the 1990s. Imagine your activities today without your cellphone, Internet, email and texting.
I expect the cycle driven by AI to be a long one, similar to the dot-com cycle that lasted longer than the decade of the 1990s. To the right is a chart published by Luke Lango’s Hypergrowth Investing. It shows the stock market in the 1990s and overlays current results. The parallels Lango sees include:
• Federal Reserve’s tight money policy slowed economic growth in 1990 as it is doing currently.
• In 1990, the markets were down around 20% and in 2022 stocks dropped around 25%.
• In late 1990, the Fed started reducing interest rates and the markets rebounded.
• In late 2022, the Fed has turned less hawkish and into 2023 has slowed the pace of interest rate increases. The markets have been recovering.
• In the early 1990’s, the dot-com stock market rally began and the market would advance generally higher for the rest of the decade and into the new millennium.
• Today, it is Artificial Intelligence that is pushing stocks higher and given my expectations for AI, it could stock prices higher until at least 2030.
Conclusion: I believe Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is exceptionally well positioned to participate in the upcoming boom in Artificial Intelligence. There are many different ways to describe market cycles that evolve around such drivers. Here is mine:

1. Accumulation: the earliest buyers tend to be larger institutions that gain the information necessary to be early adopter. I have given several statistics to show this has been happening.
   
2. Retail Participation/Speculation: as the story gains acceptance, less experienced investors enter the market and prices begin to rise more quickly. After two to three years of combined buying by large and small investors, it is possible to identify speculative activities such as very rapid increases in a stock price or underwritings of companies based on questionable valuations. This is the next phase I see ahead for the current AI cycle.
   
3. Distribution/Sale: At some point, toward the end of the Retail Participation/Speculation phase, some investors will begin to sell. It is popular to believe that institutional investors or “smart money” sell at this stage. During the many years, I have spent in the investment business, this is not true. Institutions can hold on to their AI stocks for far too long and end up seeing their portfolios incinerated. This is still many years away. The challenge today with a stock like PMED is not getting out; it is getting in.
   
4. Bear Market: eventually there will be a broad sell-off of AI stocks. Some institutions will sell without regard for their impact on the market. Margin buyers will get margin calls and may be forced to sell again without regard to price. At this time, over half of the AI companies trading at that time will simply disappear. Some will be successful but remain smaller. Some will merge with another AI company. Some will be acquired. Very few will survive and become leaders in the industries. They will become the Alphabets, Amazons, Metas, Microsofts, Nvidias, and Oracles of the 2040s and 2050s.
   

I started out with the quote “History doesn’t repeat itself, but it often rhymes.” So I don’t think the AI cycle of the 2020s will be the same as the high-tech cycle of the 1990s but I think it will be similar. If you agree, Predictmedix Inc. (CSE: PMED, OTCQB: PMEDF) is a stock to buy for your portfolio.

I wanted to share my experience so y'all aware of potential problems should y'all consider this jeweller for a future purchase. Y'all might not run into these problems at all, but considering that engagement rings aren't just expensive but more importantly have a hugely significant emotional value, I wanted y'all to know the problems I had with this seller.
Excuse the strong language, but I'm genuinely hurt, disappointed and rightfully very very angry.
...
Less than a year ago (June 17, 2022) I finally, after 2 months delay that I was understanding for, I received this gorgeous ring from Jenny Zhang aka PapierDuLapin on Etsy aka Bejewelled_Bunny on Instagram. I was absolutely over the moon. The ring was just stunning. Hence my previous Reddit post.
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ring after i received it on June 17, 2022 --- two months after ordering
However, within 6 weeks (!!!) after receiving the ring, on July 23 2022, the ring broke for the first time (picture here). I was shocked and appalled to be honest, for the price and all that. Considering this ring is probably intended to be an engagement ring for most buyers.
Knowing that Jenny is based in Australia, myself in Germany, COVID still going strong at that time (main reason for the 2 months original delay), rather than insisting on sending it back for repairs/replacement or full refund, I offered to find someone locally to repair the ring. Jenny was apologetic and willing to cover the costs for repair. Unfortunately I could never find a local jeweller willing / capable to repair it.
As you can see in the photo the ring was still wearable, it just sort of had become size-adjustable, so with COVID restrictions and not being able to find a local jeweller to repair the ring, I just kept on wearing it. Not the end of the world, I thought, Jenny had been apologetic and hadn't meant to sell a ring that breaks so quickly, but hey, I mean it's still wearable, so what the heck. Or so I thought...
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semi-broken ring, July 29 2022 --- less than 2 months after receiving the ring
Now, on May 21, 2023, so less than 12 months after receiving the ring, it fully broke (picture here).
In my eyes that's unacceptable. NOTHING of higher value should really break within 12 months, let alone an expensive ring.
I immediately contacted Jenny to ask for a full refund, explaining that there's no one local to repair it and that frankly after less than a year, this was absolutely beyond unacceptable.
She flat out refused, saying it's outside of her warranty of only THREE MONTHS (!!!).
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fully broken ring, May 29 2023 --- less than 12 months after receiving the ring
The fact that I had been kind and understanding and patient and accommodating when the ring originally broke six weeks after receiving it, so well within the three months warranty period, means nothing all to her.
The fact a ring she made, which for most buyers would probably be intended as engagement ring, was of such poor quality, means nothing all to her.
THIS IS WHY I WANT TO MAKE THIS POST. Because I think THAT is outrageous und unacceptable behaviour for someone who makes rings that are most likely, 9/10 times intended as engagement rings.
Close your eyes and really picture your precious engagement ring breaks a bit within 6 weeks of proposal, and fully within 11 months of proposal... AND THE SELLER DONT GIVE AN F. IMAGINE THAT. How deeply hurt would you feel? How annoyed and upset would you feel that the seller that you spent a lot of money with for a ring that's meant to symbolise one of the most important things in your life... and she doesn't care?!
I'm gobsmacked. I'm angry. I'm hurt.
I should've been an rightfully demanding customer sending the crappy ring back to her, demanding a full refund, but no, I responded with kindness and understanding.
AND WHAT DO I GET FOR THAT? NOTHING other than a reminder that basically says I should've been psychic and know that her crap work would break soon.
She is willing to offer repair, but insists that I cover the costs for shipment all the way back to Australia. That would also mean, I'd have to pay import tax a second time when the ring does come back to me.
All in all I'm looking to be out of pocket for an another 100euro additionally to the 642euro I've already paid.
ALL BECAUSE OF HER SHOODY WORK.
It's her poor quality work that's led to this whole situation AND I AM MEANT TO BE EVEN FURTHER OUT OF POCKET THAN I AM ALREADY?!? And who's to say that it wont break again!
She flat-out refuses to refund me.
Absolutely ridiculous. And I'm sat here crying, because I was loving this ring. Because I was kind when I had every right not to be. And I get nothing for it.
I've reached out to Etsy, but they dont care, because it's been more than 180 days.
I've reached out to PayPal, but they dont care either, they also have the 180 days limit.
So basically it's F me for not being psychic about the ring being of poor quality.
F me for meeting Jenny with kindness and understanding when the ring originally broke rather than demands for refunds.
So I'm stuck with a effing useless ring, by a seller that has zero effs to give that her work that's most often intended to be engagement gifts is of poorest quality.
...
I hate having to make this post, but this is all I can do. Warn others from spending their money with Jenny. You might be about to buy The Ring for your Significant Other from her. Think about what it would mean if that Ring breaks. How devastated you would be. Your Significant Other might be.
Please think twice about buying from her, especially if you are far away from Australia, where you might face high costs for returning the ring for repairs (and probably additional import tax , etc.
And certainly do not meet her with an abundance of kindness when her work turns out to be of poor quality, because she clearly does not care.