​
https://preview.redd.it/xbbmvwk05y2b1.jpg?width=1280&format=pjpg&auto=webp&s=116c1a4c80219604524cc4a321c8086cdb93a5a7
if ANYONE is interested send me a message on Fiverr
==> https://bazarcom.org/Biahezacourse
NEW COURSES (Included when buying my whole collection!):
· ⭐Iman Gadzhi – Agency Navigator 2023
· ⭐Sam Ovens - Consulting Accelerator 2023
· ⭐Cole Gordon – 30 Day Closer
· ⭐Montell Gordon - Agency Transmulation
· ⭐Charlie Morgan - Easygrow Course
· ⭐Sebastian Esqueda - Ecom Revolution
· ⭐Biaheza Droppshiping Course 2023
· Andrew Tate – Courses Bundle
· Charlie Morgan - Imperium Agency
· Charlie Morgan - Gym Growth Accelerator
· Biaheza - Full Dropshipping Course 2023
· Jordan Welch - The Reveal 2023
· Savannah Sanchez - TikTok Ads Course 2023
· Iman Gadzhi - Copy Paste Agency
· Sam Ovens - UpLevel Consulting
· Miles – The FBA Roadmap + The Profit Vault
· Andrew Giorgi – Amazon Dropshipping Course
· Sebastian Esqueda – Ecom Revolution Training Program
· Luca Netz – Advanced Dropshipping 2023
· Kevin King – Freedom Ticket 3.0
· Jordan Platten – LearnAds – Facebook Ads Pro 2023
· Miles – The FBA Roadmap + The Profit Vault
· Dan Vas – Ecom Freedom Shopify Blueprint 2023
· Alexander J.A Cortes - WiFi Money Machine
· Kody Knows - Native Mastery
· Bastiaan Slot - Six Figure Consulting
· Kaibax - Centurion agency
· Joe Robert - Print On Demand Accelerator
· Ryan Hogue - Ryan's Method Dropshipped POD
· Kevin Zhang - Ecommerce Millionaire Mastery
· Ryan Lee – 48 Hour Continuity
· [METHOD] ⚡️TikTok Algorithm Domination Skyrocket your engagement TODAY Updated 2023✨
· Troy Ericson – Email List Management Certification
· Larry Goins – Filthy Riches Home Study Course
· Ry Schwartz – Automated Intimacy
· Patrick Bet-David – All Access Bundle
· Andrea Unger – Master the Code & Go LIVE
· Jon Benson – 10 Minute Sales Letter
· Alen Sultanic – Automatic Clients & Bonuses
· Taylor Welch – Cashflow for Consultants
· Akeem Reed – Slingshot Rental Blueprint
· The Futur Greg Gunn – Illustration for Designers
· Trading180 – Supply And Demand Zone Trading Course
· Jim McKelvey (Foundr) – How To Build An Unbeatable Business
· Master of AI Copy – Copy School by Copyhackers
· Copyhackers – Copy School 2023
· Matei – Gann Master Forex Course
· YOYAO Hsueh – Topical Maps Unlocked
· Tyler McMurray – Facts Verse Youtube Automation Course
· Ashton Shanks – 7 Day Copywriting Challenge Featuring ChatGPT
· Rene Lacad – Rockstar Marketing Blueprint
· Top Trade Tools – Hedge Fund Trender
· Brandi Mowles – Conversion For Clients
· Glen Allsopp – SEO Blueprint 2 (DETAILED)
· Trading Busters – Prop Trading Formula Course
· Sam Woods – The AI Copywriting Workshop (Complete Edition)
· Brian Anderson – Recovery Profit System
· LOW COMPETITION KEYWORDS IN MINUTES ⚡ 70+ REVIEWS ✅ BONUS PDF WORTH $200+
· Devon Brown – Easiest System Ever
· Duston McGroarty – St. Patrick’s Day 2023 Live Event
· Dan Wardrope – Click & Deploy Sales Android
· Lost Boys Academy – How To Make Life Changing Money With OnlyFans!
· WealthFRX Trading Mastery Course 2.0
· TOM & HARRY – Digital Culture Academy
· 100+ Cold Email Templates
· [METHOD] ✅ Make Real Cash with Auto Blogging ⛔Get $1199 Worth of Resources ❌ CUSTOMIZED SECRET PROCESS⚡DONE FOR YOU SITE ⭐ Unlimited Niche Opportunity & So on
· Tobias Dahlberg – Brand Mastery
· Raul Gonzalez – Day Trading Institution 2.0
· Rasmus & Christian Mikkelsen –Impact Academy 2023
· [METHOD] ☢️ The Quick eBay Money Loophole Guide ☢️
· Apteros Trading – March 2023 Intensive
· Rob Lennon – Zero to 10k Twitter Accelerator
· Rob Lennon – Next-Level Prompt Engineering with AI
· Rasmus & Christian Mikkelsen – NEW Audiobook Income Academy Download
· Grow and Convert – Customers From Content
· Charles Miller – The Writersonal Branding Playbook
· Kaye Putnam – Convert with a Quiz
· Forex Mentor – London Close Trade 2.0
· Chase Reiner – Fortune Bots Update 1
· Andrew Ethan Zeng – Social Marketing Mastery
· [Method] Upload FULL, 100% Unedited Copyrighted Videos on Youtube! Content ID DESTROYER!
· Digital Daily – Top 150 ChatGPT Prompts to Make your Life Easy
· Patek Fynnip – Psychology Course
· Thomas Frank – Creator’s Companion (Ultimate Brain Edition)
· [METHOD] ⚡ See the MAGIC of Bulk Posting ✨ Untapped Method ✅ [ BONUS ChatGpt and Affiliate list Pdf]✅
· ⭕️ YouTube Content Machine – Unlimited FREE traffic for CPA – Fully Automated Method ⭕️
· Jakob Greenfeld – Scraping The Web For Fun and Profit
· Adrian Twarog – OpenAI Template Starter Kit for ChatGPT / GPT3
· The Secret Merchants List of Over 2000+ Dropshippers and Amazon FBA Suppliers Based in The US
· Top Trade Tools – Top Swing Trader Pro
· Charlie Houpert – Charisma University 2023
· ▶️ [METHOD + GUIDE] ✅ Make Money ✅ with Kindle Books ⚠️ Even if You Can’t Write ⚠️ [STEP-BY-STEP] ⚡ NO INVESTMENT REQUIRED! ⚡
· Charlie Morgan – Easy Grow
· Nina Clapperton – Jasper AI Course for Bloggers
· Travis Stephenson – Simple Profit System
· Manny Khoshbin – Real Estate Starter Program
· Tanner Henkel & Jerrod Harlan – 7-Figure Email Machine
· [METHOD] Stop Wasting Money on AI Writers Train And Fine-Tune Your Own AI For Free With No Code ⚡⚡⚡Real Method & Practice Examples ⚡⚡
· Creator Hooks – YouTube Title Mastery
· Thomas Frank – Creator’s Companion (Ultimate Brain Edition)
· Sean Dollwet – Royalty Hero
· Jason Bell – Birthday Marketing Formula
· NXT Level FX – Investors Domain
· [METHOD] ⏩ My ETSY $40K~ Passive Income 2023 + HOT Products (Earning Proof) ⏪ Make Money No Marketing Easy $40K~ Guide FOR NOOBS ✅
· Rob Jones & Gerry Cramer – Profit Singularity Ultra Edition 2022 (AI & ChatGPT)
· Cody Wittick & Taylor Lagace – The Influencer Marketing Blueprint
· ⚡️➡️$390/Week BLUEPRINT+PROOF✅Scalable Method❤️Amazon to eBay Dropship✅
· Kody Ashmore – Simpler Trading – Drama Free Day Trades ELITE
· Youri van Hofwegen – YouTube Search Automation
· Montell Gordon – Agency Transmutation
· Csaba Borzasi – Breakthrough Conversions Academy
· Tim Denning – Twitter Badassery
· Geoff Cudd – AI Writing Course for Bloggers & Digital Marketers
· RED CPA FORMULA – UNTAPPED UNDERGROUND CPA SYSTEM
· BowtiedCocoon – Zero to $100k: Landing Any Tech Sales Role
· Holly Starks – Make LINK BUILDING Great Again!
· Mike Warren – Deeds4Cash
· BITCOIN BRITS – The Crypto Course
· Max Gilles – ⚡️☄️ UHQ Leak ❤️CPA JACKER – Epic CPA Blueprint✅⚡️
· Aidan Booth & Steve Clayton – 123 Profit Update 9
· Christina Galbato – The Influencer Bootcamp
· John Thornhill – Ambassador Program
· [Sales] 999+ Ultimate ChatGPT Prompts To Copy & Paste (250+ tasks)
· Pollinate Trading – Curvy Trading System
· Content Mavericks – The Greatest Hits Content System
· Andriy Boychuk – Flowium – Klaviyo Mastery 2.0
· Dagobert Renouf – How To Dominate Twitter (Advanced Growth Bundle)
· Darius Lukas – ⭐ The Marketer’s Bible to ChatGPT ✅ 1000+ ChatGPT Prompts to Copy, Paste & Scale
· Billy Gene – 5 Day A.I. Crash Course for Marketers
· Alex Cattoni – Posse Eye Brand Voice Challenge Program
· Casey Zander – YouTube Fame Game Blueprint
· Harlan Kilstein – Midjourney Mastery
· Shawna Newman – YouTube for Niche Sites
· [Marketing] 1099+ Ultimate ChatGPT Marketing Prompts To Copy & Paste (200+ tasks)
· Karen Foo – Star Traders Forex Intermediate Course
· TheMacLyf – Hive Mind & Masterclass (Onlyfans Course)
· Brittany Lewis – Top Seller Secret
· Dan Henry – Facebook Ads for Entrepreneur
· Russ Horn – Ultra Blue Forex
· Scott Phillips – Crypto Salary System
· Roland Frasier – AI Powered Expert Apprentice + Update 1
· Roger & Barry – Give Academy 1k/Day Platinum Mastermind [COMPLETE with LATEST UPDATE]
· Bretty Curry (Smart Marketer) – Smart Amazon Ecommerce
· Steven Dux – Traders Edge 2023
· Aidan Booth & Steve Clayton – 123 Profit
· Allie Bjerk – Tiny Offer Lab
· Dicke Bush – Generate 10x More Content Using AI
· Mateusz Rutkowski – New Money Blueprint
· Smart Raja Concepts (SRC) – Forex 101
· Chase Reiner – Short Form Riches Bootcamp 2023 – AI ChatGPT Bot Update 3
· Chase Reiner – AI Profits
· Travis Sago – Cold Outreach & Prospecting AMA Offer (Best Value with All Bonuses)
· Live Traders – Professional Trading Strategies
· Allan Dib – The 1-Page Marketing Plan Course
· Dan Koe – Digital Economics Masters Degree
· The Trading Guide – The Gold Box Strategy
· The Complete XAUUSD GOLD Forex Scalping System On Real Trading Account
if ANYONE is interested send me a message on Fiverr
==> https://bazarcom.org/Biahezacourse

​
https://preview.redd.it/xbbmvwk05y2b1.jpg?width=1280&format=pjpg&auto=webp&s=116c1a4c80219604524cc4a321c8086cdb93a5a7
if ANYONE is interested send me a message on Fiverr
==> https://bazarcom.org/Biahezacourse
NEW COURSES (Included when buying my whole collection!):
· ⭐Iman Gadzhi – Agency Navigator 2023
· ⭐Sam Ovens - Consulting Accelerator 2023
· ⭐Cole Gordon – 30 Day Closer
· ⭐Montell Gordon - Agency Transmulation
· ⭐Charlie Morgan - Easygrow Course
· ⭐Sebastian Esqueda - Ecom Revolution
· ⭐Biaheza Droppshiping Course 2023
· Andrew Tate – Courses Bundle
· Charlie Morgan - Imperium Agency
· Charlie Morgan - Gym Growth Accelerator
· Biaheza - Full Dropshipping Course 2023
· Jordan Welch - The Reveal 2023
· Savannah Sanchez - TikTok Ads Course 2023
· Iman Gadzhi - Copy Paste Agency
· Sam Ovens - UpLevel Consulting
· Miles – The FBA Roadmap + The Profit Vault
· Andrew Giorgi – Amazon Dropshipping Course
· Sebastian Esqueda – Ecom Revolution Training Program
· Luca Netz – Advanced Dropshipping 2023
· Kevin King – Freedom Ticket 3.0
· Jordan Platten – LearnAds – Facebook Ads Pro 2023
· Miles – The FBA Roadmap + The Profit Vault
· Dan Vas – Ecom Freedom Shopify Blueprint 2023
· Alexander J.A Cortes - WiFi Money Machine
· Kody Knows - Native Mastery
· Bastiaan Slot - Six Figure Consulting
· Kaibax - Centurion agency
· Joe Robert - Print On Demand Accelerator
· Ryan Hogue - Ryan's Method Dropshipped POD
· Kevin Zhang - Ecommerce Millionaire Mastery
· Ryan Lee – 48 Hour Continuity
· [METHOD] ⚡️TikTok Algorithm Domination Skyrocket your engagement TODAY Updated 2023✨
· Troy Ericson – Email List Management Certification
· Larry Goins – Filthy Riches Home Study Course
· Ry Schwartz – Automated Intimacy
· Patrick Bet-David – All Access Bundle
· Andrea Unger – Master the Code & Go LIVE
· Jon Benson – 10 Minute Sales Letter
· Alen Sultanic – Automatic Clients & Bonuses
· Taylor Welch – Cashflow for Consultants
· Akeem Reed – Slingshot Rental Blueprint
· The Futur Greg Gunn – Illustration for Designers
· Trading180 – Supply And Demand Zone Trading Course
· Jim McKelvey (Foundr) – How To Build An Unbeatable Business
· Master of AI Copy – Copy School by Copyhackers
· Copyhackers – Copy School 2023
· Matei – Gann Master Forex Course
· YOYAO Hsueh – Topical Maps Unlocked
· Tyler McMurray – Facts Verse Youtube Automation Course
· Ashton Shanks – 7 Day Copywriting Challenge Featuring ChatGPT
· Rene Lacad – Rockstar Marketing Blueprint
· Top Trade Tools – Hedge Fund Trender
· Brandi Mowles – Conversion For Clients
· Glen Allsopp – SEO Blueprint 2 (DETAILED)
· Trading Busters – Prop Trading Formula Course
· Sam Woods – The AI Copywriting Workshop (Complete Edition)
· Brian Anderson – Recovery Profit System
· LOW COMPETITION KEYWORDS IN MINUTES ⚡ 70+ REVIEWS ✅ BONUS PDF WORTH $200+
· Devon Brown – Easiest System Ever
· Duston McGroarty – St. Patrick’s Day 2023 Live Event
· Dan Wardrope – Click & Deploy Sales Android
· Lost Boys Academy – How To Make Life Changing Money With OnlyFans!
· WealthFRX Trading Mastery Course 2.0
· TOM & HARRY – Digital Culture Academy
· 100+ Cold Email Templates
· [METHOD] ✅ Make Real Cash with Auto Blogging ⛔Get $1199 Worth of Resources ❌ CUSTOMIZED SECRET PROCESS⚡DONE FOR YOU SITE ⭐ Unlimited Niche Opportunity & So on
· Tobias Dahlberg – Brand Mastery
· Raul Gonzalez – Day Trading Institution 2.0
· Rasmus & Christian Mikkelsen –Impact Academy 2023
· [METHOD] ☢️ The Quick eBay Money Loophole Guide ☢️
· Apteros Trading – March 2023 Intensive
· Rob Lennon – Zero to 10k Twitter Accelerator
· Rob Lennon – Next-Level Prompt Engineering with AI
· Rasmus & Christian Mikkelsen – NEW Audiobook Income Academy Download
· Grow and Convert – Customers From Content
· Charles Miller – The Writersonal Branding Playbook
· Kaye Putnam – Convert with a Quiz
· Forex Mentor – London Close Trade 2.0
· Chase Reiner – Fortune Bots Update 1
· Andrew Ethan Zeng – Social Marketing Mastery
· [Method] Upload FULL, 100% Unedited Copyrighted Videos on Youtube! Content ID DESTROYER!
· Digital Daily – Top 150 ChatGPT Prompts to Make your Life Easy
· Patek Fynnip – Psychology Course
· Thomas Frank – Creator’s Companion (Ultimate Brain Edition)
· [METHOD] ⚡ See the MAGIC of Bulk Posting ✨ Untapped Method ✅ [ BONUS ChatGpt and Affiliate list Pdf]✅
· ⭕️ YouTube Content Machine – Unlimited FREE traffic for CPA – Fully Automated Method ⭕️
· Jakob Greenfeld – Scraping The Web For Fun and Profit
· Adrian Twarog – OpenAI Template Starter Kit for ChatGPT / GPT3
· The Secret Merchants List of Over 2000+ Dropshippers and Amazon FBA Suppliers Based in The US
· Top Trade Tools – Top Swing Trader Pro
· Charlie Houpert – Charisma University 2023
· ▶️ [METHOD + GUIDE] ✅ Make Money ✅ with Kindle Books ⚠️ Even if You Can’t Write ⚠️ [STEP-BY-STEP] ⚡ NO INVESTMENT REQUIRED! ⚡
· Charlie Morgan – Easy Grow
· Nina Clapperton – Jasper AI Course for Bloggers
· Travis Stephenson – Simple Profit System
· Manny Khoshbin – Real Estate Starter Program
· Tanner Henkel & Jerrod Harlan – 7-Figure Email Machine
· [METHOD] Stop Wasting Money on AI Writers Train And Fine-Tune Your Own AI For Free With No Code ⚡⚡⚡Real Method & Practice Examples ⚡⚡
· Creator Hooks – YouTube Title Mastery
· Thomas Frank – Creator’s Companion (Ultimate Brain Edition)
· Sean Dollwet – Royalty Hero
· Jason Bell – Birthday Marketing Formula
· NXT Level FX – Investors Domain
· [METHOD] ⏩ My ETSY $40K~ Passive Income 2023 + HOT Products (Earning Proof) ⏪ Make Money No Marketing Easy $40K~ Guide FOR NOOBS ✅
· Rob Jones & Gerry Cramer – Profit Singularity Ultra Edition 2022 (AI & ChatGPT)
· Cody Wittick & Taylor Lagace – The Influencer Marketing Blueprint
· ⚡️➡️$390/Week BLUEPRINT+PROOF✅Scalable Method❤️Amazon to eBay Dropship✅
· Kody Ashmore – Simpler Trading – Drama Free Day Trades ELITE
· Youri van Hofwegen – YouTube Search Automation
· Montell Gordon – Agency Transmutation
· Csaba Borzasi – Breakthrough Conversions Academy
· Tim Denning – Twitter Badassery
· Geoff Cudd – AI Writing Course for Bloggers & Digital Marketers
· RED CPA FORMULA – UNTAPPED UNDERGROUND CPA SYSTEM
· BowtiedCocoon – Zero to $100k: Landing Any Tech Sales Role
· Holly Starks – Make LINK BUILDING Great Again!
· Mike Warren – Deeds4Cash
· BITCOIN BRITS – The Crypto Course
· Max Gilles – ⚡️☄️ UHQ Leak ❤️CPA JACKER – Epic CPA Blueprint✅⚡️
· Aidan Booth & Steve Clayton – 123 Profit Update 9
· Christina Galbato – The Influencer Bootcamp
· John Thornhill – Ambassador Program
· [Sales] 999+ Ultimate ChatGPT Prompts To Copy & Paste (250+ tasks)
· Pollinate Trading – Curvy Trading System
· Content Mavericks – The Greatest Hits Content System
· Andriy Boychuk – Flowium – Klaviyo Mastery 2.0
· Dagobert Renouf – How To Dominate Twitter (Advanced Growth Bundle)
· Darius Lukas – ⭐ The Marketer’s Bible to ChatGPT ✅ 1000+ ChatGPT Prompts to Copy, Paste & Scale
· Billy Gene – 5 Day A.I. Crash Course for Marketers
· Alex Cattoni – Posse Eye Brand Voice Challenge Program
· Casey Zander – YouTube Fame Game Blueprint
· Harlan Kilstein – Midjourney Mastery
· Shawna Newman – YouTube for Niche Sites
· [Marketing] 1099+ Ultimate ChatGPT Marketing Prompts To Copy & Paste (200+ tasks)
· Karen Foo – Star Traders Forex Intermediate Course
· TheMacLyf – Hive Mind & Masterclass (Onlyfans Course)
· Brittany Lewis – Top Seller Secret
· Dan Henry – Facebook Ads for Entrepreneur
· Russ Horn – Ultra Blue Forex
· Scott Phillips – Crypto Salary System
· Roland Frasier – AI Powered Expert Apprentice + Update 1
· Roger & Barry – Give Academy 1k/Day Platinum Mastermind [COMPLETE with LATEST UPDATE]
· Bretty Curry (Smart Marketer) – Smart Amazon Ecommerce
· Steven Dux – Traders Edge 2023
· Aidan Booth & Steve Clayton – 123 Profit
· Allie Bjerk – Tiny Offer Lab
· Dicke Bush – Generate 10x More Content Using AI
· Mateusz Rutkowski – New Money Blueprint
· Smart Raja Concepts (SRC) – Forex 101
· Chase Reiner – Short Form Riches Bootcamp 2023 – AI ChatGPT Bot Update 3
· Chase Reiner – AI Profits
· Travis Sago – Cold Outreach & Prospecting AMA Offer (Best Value with All Bonuses)
· Live Traders – Professional Trading Strategies
· Allan Dib – The 1-Page Marketing Plan Course
· Dan Koe – Digital Economics Masters Degree
· The Trading Guide – The Gold Box Strategy
· The Complete XAUUSD GOLD Forex Scalping System On Real Trading Account
if ANYONE is interested send me a message on Fiverr
==> https://bazarcom.org/Biahezacourse

Predictmedix – a great way to surf the Artificial Intelligence wave.
​
https://preview.redd.it/p6vawwx2ig3b1.png?width=741&format=png&auto=webp&s=16344b32088e8959d3e838a528a893994685ec85
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/gj9fc2nzhg3b1.png?width=741&format=png&auto=webp&s=f87c4488fd2fac4388b4b65e352e8b286af88c9c
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/madn1nknhg3b1.png?width=741&format=png&auto=webp&s=afdc89b341aef03eb0099910359090687d69568d
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/1euasjh6hg3b1.png?width=741&format=png&auto=webp&s=bca3509be737c63b59eab69398f5a735d746c185
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.

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https://preview.redd.it/xbbmvwk05y2b1.jpg?width=1280&format=pjpg&auto=webp&s=116c1a4c80219604524cc4a321c8086cdb93a5a7
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