CONCLUSION: UNLEASHING A TSUNAMI OF PROGRESS

AI is a colossal technology tsunami that is already striking all of us.

We have now entered a mythic moment, which is one of those times in history when new technologies, ideas, or energy sources are developed that represent a radical departure and a colossal improvement from the past.

As a result, it is no longer possible to make small changes; instead, major ones must be made. Specifically, this refers to our methods for producing, competing, teaming up, working, learning, governing, and well also starting and fighting armed conflicts.

We are familiar with the major prodigious eras that have occurred over the past 600 years, including the creation of the printing press, the scientific revolution, the agricultural and industrial paradigm shift, the nuclear power game-changer, the personal computing breakthrough, the internet disruption, and now our current AI epic period.

But unlike the printing press or the steam engine, which were both singular inventions, a technological super-cycle is what is powering this superlative moment.

It is our capacity to sense, digitize, process, learn, share, and act—all of which will be increasingly aided by AI. From your automobile to your fridge to your smartphone to fighter jets, that “Titan” will be embedded into everything and powering an increasing number of zillion operations each day.

We are entering an age of titanic acceleration, prodigious amplification, at a time of very fragile democratization.

Never before have so many people had access to so many low-cost instruments that increase their power at an ever-increasing rate while simultaneously permeating the personal and professional lives of billions.

Awe-inspiring possibilities exist for using these skills to address issues that at first glance appear insurmountable, such as climate change, fusion energy, and human biology. Scarily, AI can be used as a tool or a weapon, like so many other contemporary digital technologies based on software and semiconductors.

The last time we developed a technology this potent, we produced nuclear energy, which had the potential to either illuminate the entire world or wipe it off the face of the Earth.

But the central point about nuclear energy is that it was invented by governments, who together established a framework of checks and balances to prevent its spread to undesirable parties. Very far from perfect but still half working well enough.

On the other hand, private enterprises are leading the way in AI. How do we govern a nation and a world where these technologies that will be weapons or tools in every domain are under the hands of private firms, growing more powerful every day, is a central question.

Making sure that we are not “tossing the baby out with the bathwater” by doing it in a responsible manner is what has been on everyone’s mind since the beginning of this year. Which is rather late in tech time 68 years (!) after the very first basic concept for AI…

We will need to create what is referred to as "complex adaptive coalitions," in which corporations, government, social entrepreneurs, educators, rival superpowers, and moral philosophers all collaborate to determine how we can maximize the benefits of AI while mitigating its drawbacks.

No one member of this alliance can solve the issue by themselves. In comparison to conventional left–right politics, it calls for a totally different type of governance. And we will have to make the shift urgently during the worst great power tensions since the Cold War with additional culture battles erupting inside almost every democracy.

Humanityneedstoreorientveryfastandfindcreativesolutionssoontoavoidbeing devouredbyanAItsunamiofprogress,thatwillbesoonerorlater “coupled”with quantumcomputing(!).

Thismonumentalmetatechnologyofthepresentandcomingeraisheretostayup tothenextcentury.

Myhumblefrankandstraightforwardadviceis:

“To catch the reader's attention, place an interesting sentence or quote from the story here.”

Daring Investors Section Friendly Disclaimer Warning

The following personal recommandations are not an advice to buy any sotck at the moment of your reading. Stock market trading is a discipline and determining the right time to move in-out of a market is an Art.

The comments and the list are mainly friendly advice for you to follow these promising companies and check carefully when to step in at the right moment.

Usa Ai Stocks

Qualcomm (NASDAQ:QCOM)

Market cap: US$145.88 billion

San Diego-based Qualcomm designs and manufactures semiconductors, software and wireless telecommunications products. The multinational corporation’s product catalog includes processors, modems, RF systems, 5G, 4G and optimized software. After a decade of AI research and development, Qualcomm's goal is to make AI ubiquitous in everyday life by “inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G." The company has developed several AI-based products, including the Qualcomm Snapdragon 765G mobile gaming platform, which combines 5G and AI technologies.

Snowflake (NYSE:SNOW)

Market cap: US$53.99 billioN

Cloud-based data warehousing company Snowflake offers customers data storage, processing, and analytics capabilities through its data-as-a-service platform. The highly scalable Snowflake Data Cloud platform supports multi-cloud infrastructure environments, allowing companies to bring data from other platforms together in one space. The platform was also designed to support enterprise AI projects that leverage big data and machine learning (ML).

Snowflake has made several acquisitions in the past few years, including picking up AI companies with complimentary technologies. In early 2023, the company announced its intention to acquire Myst AI, an AI-based time series forecasting platform provider. Time series forecasting is used in several fields, including supply chain management and inventory planning. Myst AI’s technology is capable of predicting spikes in energy demand and renewable generating capacity, as well as prices, in an effort to cut energy costs.

L3Harris Technologies (NYSE:LHX)

Market cap: US$40.84 billion

L3Harris Technologies is an IT services provider and aerospace and defense contractor More recently, L3Harris was selected by the DoD to deliver AI services geared toward improving intelligence gathering and collaboration between defense and intelligence agencies. “Massive volumes of data must be turned into actionable intelligence every day,” said Ed Zoiss, president of space and airborne systems with L3Harris.

Canada Ai Stocks

Canada ranks fourth out of 54 countries in the Global AI Index. Since 2017, the Canadian government has invested hundreds of millions of dollars into accelerating the research and commercialization of AI technology in the country.

Open Text (TSX:OTEX)

Market cap: C$12.75 billion

Ontario-based OpenText is one of Canada’s largest software companies. The tech firm develops and sells enterprise information management software. OpenText AI & Analytics has an open architecture that enables integration with other AI services, including Google Cloud and Azure. It can leverage all types of data, from structured to unstructured, big data or internet of things (IoT), to quickly create interactive visuals.

Descartes Systems Group (TSX:DSG)

Market cap: C$8.39 billion

Descartes Systems Group provides on-demand software-as-a-service (SaaS) solutions.AI and ML enhancements to Descartes’ routing, mobile and telematics suite are helping the company’s customers optimize fleet performance. “AI and ML are perfect extensions to our advanced route optimization and execution capabilities,” said Ken Wood, executive vice president at Descartes.

Kinaxis (TSX:KXS)

Market cap: C$4.49 billion

Kinaxis is a supply chain planning software company that has developed a cloud-based SaaS platform known as Rapid Response. The subscription software is used by supply chain operations for multiple industries, including the electronics, aerospace and defense, pharmaceutical, automotive and retail markets on a global scale. In May 2022, Kinaxis unveiled its new Planning.AI analytical approach as part of its Rapid Response platform. This enhancement allows for quicker, more accurate responses to market disruptions.

Europe Ai Stocks

Netherlands

Leading supplier of photolithography equipment used in the creation of integrated circuits is ASML Holdings (ASML), To better their goods and services, they have been spending a lot of money on artificial intelligence (AI).

France

This French business offers software for 3D design, simulation, and data management. Dassault Systemes (DASTY). To enhance the functionality of their software and develop fresh AI-powered solutions, they have been investing in AI.

Germany

This German multinational software company, SAP SE (SAP), offers corporate applications for managing client relationships and business processes. To improve the functionality of their goods and provide fresh AI-powered solutions, they have been investing in AI.

Infineon Technologies AG (IFNNY) is a German semiconductor business that develops and manufactures parts for security, industrial, and automotive applications. They have been making investments in AI to enhance the capabilities of their products and develop fresh, customer-focused AI-powered solutions.

Switzerland

ABB Ltd. (ABB): This international company with Swiss and Swedish roots offers customers in the infrastructure, transportation, and utility sectors robotics, power, automation, and other technology. They have been spending money on AI to increase the effectiveness and security of their goods and services.

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