Welcome to this week’s edition of The Market Pulse, where we dive deep into the critical crossroads of AI innovation, tech earnings, and Wall Street’s ticking clock. This week, the Magnificent 7—led by Microsoft, Tesla, Meta, and Apple—report quarterly results, but the real focus isn’t just earnings. It’s the elephant in the boardroom: AI.

With billions poured into AI projects, the race to transform industries (and justify those massive investments) is on. But how much longer will investors tolerate vague promises and prototypes before they demand tangible returns? Some analysts predict 2025 will be the year of reckoning, but others argue this will be a marathon, not a sprint.

Meanwhile, geopolitical forces like AI-focused infrastructure spending plans and tariffs on semiconductors could further shape the landscape. And let’s not forget—beyond AI, concerns about inflation, iPhone demand, and IT spending cuts linger.

This Week I Learned…

Why AI Takes Time: The ROI of Innovation

Patience may be a virtue, but in tech, it’s also a necessity. This week I learned that building an AI empire isn’t just about coding—it’s about infrastructure. Training advanced AI models like OpenAI’s GPT-4 (and its future siblings) takes extraordinary computational power, which means building specialized data centers and acquiring custom semiconductors like NVIDIA’s GPUs. These aren’t your off-the-shelf processors; they’re high-powered chips that cost millions.

For example, training one large AI model can cost $10-20 million in computational expenses alone. Add in R&D costs, staff salaries, and hardware, and it’s easy to see why AI ventures are so capital-intensive. Yet the payoff timeline for AI advancements often spans years, not months. That’s why Wall Street analysts are keen to see intermediate progress, like increased AI-driven ad revenue for Meta or autonomous vehicle breakthroughs for Tesla.

As a takeaway, AI’s ROI might be slow at first, but as infrastructure matures and applications scale, returns could reach exponential levels. The question is whether investors have the patience to wait.

The Fun Corner

How AI Measures Success in the Markets

Why did the AI program break up with its investor?
Because it said, “You’re asking for returns I can’t deliver yet!”

But here’s the twist: AI is already delivering value in unexpected places. For example, Meta saved an estimated $2 billion in server costs in 2023 by deploying AI to optimize its data centers. That’s ROI you might not see in the headlines—but it’s real.

Fun fact: Did you know the term “artificial intelligence” was first coined in 1956? It’s taken decades for AI to go from sci-fi dreams to the investment megatrend we see today. Wall Street’s patience might be short, but AI’s timeline has always been long.

The AI Payoff Clock

As the Magnificent 7 prepare to report earnings this week, investors aren’t just looking at the numbers—they’re looking for proof of AI’s promise. Companies like Microsoft, Meta, Tesla, and Apple are spending billions on AI projects, from autonomous vehicles to generative AI tools and advertising algorithms. Yet analysts warn that 2024 might still be the year of promises rather than payoffs.

Take Microsoft, for example. Analysts expect strong performance from Azure and Office, but they’re also watching for signs that its AI investments—like OpenAI—are translating into growth. Meta, meanwhile, is leaning on AI to optimize ad placements and outcompete TikTok, while Tesla bets on its AI-driven autonomous vehicles to reaccelerate growth after its first-ever annual sales dip.

The stakes are high. Together, the Magnificent 7 are projected to report 21.7% earnings growth for Q4 2024, far outpacing the rest of the S&P 500’s estimated 15.4%. Yet questions linger about whether those growth rates are sustainable, particularly as IT budgets remain tight and government tariffs weigh on key technologies like semiconductors.

And then there’s the broader AI debate. Will these investments truly revolutionize industries, or are they laying the groundwork for another speculative bubble? For now, Wall Street seems willing to wait—but patience isn’t infinite. As 2025 looms, the pressure will only grow for these tech giants to deliver tangible AI-driven growth.

The Last Say

Patience, Profits, and Possibilities

As we wrap up this week’s Market Pulse, the AI revolution continues to spark big questions and bigger investments. The Magnificent 7 may be dominating the markets today, but their next challenge is clear: prove that AI isn’t just hype but a sustainable driver of growth.

For investors, the takeaway is twofold. First, the timeline for AI payoffs is likely to stretch years, so long-term perspectives are critical. Second, with Wall Street’s gaze fixed on intermediate results, companies like Microsoft, Meta, and Tesla will need to thread the needle between visionary promises and actionable milestones.

As earnings season heats up, don’t lose sight of the bigger picture. AI may not deliver instant results, but as history shows, transformational technologies often reward the patient. And with AI shaping industries from advertising to autonomous vehicles, those rewards could be massive.

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Nvidia, the current champion, is basking in the limelight, fueled by the insatiable demand from tech titans like Microsoft and Alphabet. Yet, whispers of change are in the air. These same giants are quietly crafting their own AI chips, hinting at a potential power shift in the not-so-distant future.

Could Nvidia’s reign be shorter than anticipated? Will the tech landscape transform before our very eyes? We’ll examine these questions and more as we dive into the intricacies of this evolving market.

But that’s not all we have in store. In our “This Week I Learned” segment, we’ll uncover valuable lessons from the week’s financial headlines, arming you with knowledge to navigate the investment world with confidence. And because we believe learning should be enjoyable, we’ve sprinkled in a few delightful surprises along the way.

So, settle in, sharpen your minds, and get ready to explore the exciting world of finance with us. Let’s unravel the mysteries and uncover the opportunities that lie ahead.

This Week I Learned…

The Chip on Tech Giants’ Shoulders

Nvidia may be the belle of the ball in the AI chip world right now, but did you know that the tech giants who are fueling its rise are secretly plotting its potential downfall?

This week, we learned that companies like Microsoft, Alphabet (Google’s parent), and Amazon aren’t content with merely buying Nvidia’s pricey chips. They’re investing heavily in research and development to create their own AI processors.

Why? It’s not just about the cost, although at $40,000 a pop for Nvidia’s top-tier chips, that’s certainly a factor. It’s also about control and self-reliance. By developing their own chips, these tech giants can tailor them precisely to their needs and reduce their dependence on a single supplier.

This has major implications for the future of the AI chip market. If these in-house chips prove successful, it could significantly disrupt Nvidia’s dominance and lead to a more competitive landscape. Imagine a world where AI chips become as ubiquitous and affordable as the smartphones in our pockets.

So, what’s the lesson here? In the fast-paced world of technology, today’s leader can quickly become tomorrow’s underdog. It’s a reminder that even the most powerful companies need to constantly innovate and adapt to stay ahead of the curve.

The takeaway? Keep a close eye on the AI chip space. It’s a dynamic and rapidly evolving field with the potential to reshape the tech industry as we know it.

The Fun Corner

Chipwrecked!

Why did the tech giants decide to build their own AI chips?

Because they were tired of paying Nvidia’s “yacht”-sized prices!

It seems the allure of those $40,000 price tags finally wore off. Who knew that building your own supercomputer brain could be a more cost-effective option?

Maybe Nvidia should consider offering a “buy one, get one free” deal on their next-gen chips. Just a thought!

Nvidia’s AI Throne: A Precarious Perch

Nvidia’s current success story is undeniable, driven by the insatiable appetite for AI chips from tech titans like Microsoft, Alphabet, and Amazon. However, this narrative might soon take an unexpected turn.

These same companies, while currently bolstering Nvidia’s profits, are quietly investing in developing their own AI chips. This isn’t merely about cutting costs; it’s a strategic move to control their technological destiny and avoid over-reliance on a single supplier.

Remember the car market during the pandemic? Shortages and soaring prices eventually spurred increased production, leading to an oversupply and price correction. The chip market could follow a similar trajectory.

Nvidia’s “reasonable” P/E ratio, often cited as a justification for its valuation, may be a deceptive metric. It’s based on earnings that could significantly shrink as competition intensifies and chip prices fall.

Consider this: Nvidia currently sells some AI chips for $40,000 each. These are capital expenditures for companies like Alphabet, meaning only a fraction of that cost appears on their income statement. Yet, the full amount contributes to Nvidia’s revenue, creating a misleading picture of its financial health.

In the not-too-distant future, the AI chip market could become crowded with competitors, driving down prices and squeezing Nvidia’s margins. The very forces that propelled Nvidia to its current heights could ultimately lead to its downfall.

The lesson? In the world of technology, today’s leader can quickly become tomorrow’s laggard. It’s a constant race for innovation and adaptation, where complacency can be costly. As investors, it’s crucial to look beyond the current hype and consider the long-term implications of market trends.

The Last Say

Silicon Valley’s Chip on Its Shoulder

The AI chip arena is a microcosm of the wider tech landscape: a relentless pursuit of innovation, a hunger for control, and the ever-present threat of disruption.

Nvidia’s current success is undeniable, but its future is uncertain. While its chips currently power the AI dreams of tech giants, these same giants are investing in their own chipmaking capabilities.

This could be a classic case of “disrupt or be disrupted.” The tech giants, seeking self-reliance and cost efficiency, may ultimately dethrone the current king of AI chips.

Investors, take note. The market is not a static entity; it’s a dynamic ecosystem where power balances shift and fortunes can change rapidly. As we’ve seen with Nvidia, today’s leader can quickly become tomorrow’s contender.

The key takeaway? Stay informed, stay adaptable, and never underestimate the power of innovation to reshape the financial landscape.

The post Tech Titans’ Gambit: In-House Chips to Challenge Nvidia appeared first on Global Investment Daily.

Tech companies, according to McKinsey, are positioned to see the most disruption from Gen Ai, “adding value equivalent to as much as 9 percent of global industry revenue”. 

When McKinsey conducted its latest Gen AI survey in April this year, the results astounded them. In a span of only six months, the generative AI conversation among C-suite executives went from entirely rudimentary to quite sophisticated. Hype became reality in the blink of an eye.

In the first sixth months of this year, venture capitalists poured over $15 billion into generative AI companies globally, according to Pitchbook. That’s a 58% increase year-over-year. 

One emerging public company is developing AI in lockstep with the energy transition. 

This AI is being trained on very specific data sets to create ‘digital twins’ of large swaths of land to prevent forest fires and significantly reduce costs for critical infrastructure projects, including urban planning and natural resource protection plans. These types of projects are funded by multi-trillion dollar organizations in insurance, mining, and government, and are further supercharged by environmental grants and economic necessity. 

Genesis AI Corp (CSE: AIG; OTC: AIGFF) is a remote sensing and analysis company that is acquiring large data sets and using AI to process them into risk mitigation tools to prevent the wildfires ravishing North America, introduce world-class precision forestry, give the mining industry a leg up in drilling and extraction, add desparately needed legitimacy to the to the booming carbon offset market and disrupt urban planning.  

Genesis’ AI is applicable to over $80 billion in combined markets—and counting.

Reimagining A Burning World With Genesis Ai

Mitigating wildfires, reinventing forestry, pinpointing natural resources for faster and cleaner mining operations, improving urban planning for greater efficiency, and giving the huge carbon offset market the one thing it needs most—credibility—is what Genesis Ai is all about. 

Genesis AI Corp (CSE: AIG; OTC: AIGFF) is developing Woodlands.ai to better manage natural resources through the building of digital twins of real-world forests that can be studied and manipulated for our benefit. Influenced by deep machine learning, neural networks and artificial intelligence, the applications are enormous and ground-breaking.

It’s intelligence-gathering that can help reset our biological assets and serve as the front-line in the war against climate change.

This year alone, we’ve watched some 18 million acres of land burn, ravaged by North American wildfires, and climate change is behind the increasing scale and frequency of these fires. 

Two things are negatively impacting our forests: Climate change and mismanagement. Climate change is creating warmer and drier conditions, while more drought and longer fire seasons are exponentially intensifying the risk of wildfire, with a single degree Celsius increase in temperature leading to three-digit-percentage increases in burn spread.  

Genesis AI Corp’s (CSE: AIG; OTC: AIGFF) new breed of AI in development offers us early detection so we can more effectively deploy resources to mitigate wildfires. It will help predict forest fire behavior, speed up response times and build more resilient forests by changing the way these lands are managed. It won’t just mitigate fires, either. It will help mitigate the risk of fire itself, through remote sensing and machine-learning.

With the Canadian government recently committing $256 million  to help solve the devastating wildfire problem, and the U.S. government investing $7 billion to manage the escalating wildfire crisis, Genesis is targeting a high-dollar segment of climate change damage control.  

It’s also working to corner the $6-billion Precision Forestry market, which McKinsey calls a “revolution in the woods”, and which the world-class team at Genesis sees as one of the most impactful and profitable applications of AI right now because it has the potential to increase productivity rates by up to 25% annually. Genesis’ Woodlands.ai is planning to help disrupt forestry by lowering delivered costs for wood and increasing wood yields, which in turn relieves pressure on forests, restoring an ecological balance. For the forestry industry, too, it’s money in the bank. And Genesis plans to do it all for half the cost of current solutions with its proprietary software.

It’s a forestry and agricultural revolution that has been likened to the Green Revolution of the 1960s. 

Carbon Offset: Reinventing True Value and Lending Credibility

Right now, despite market value hitting $2 billion in 2021, quadrupling from 2020, carbon offset has a major credibility problem. It’s a segment racked with fraud, abuse, and extreme uncertainty. Now that it’s headed to an astonishing $250 billion by 2050, according to Morgan Stanley, being able to verify those claims and determine the real carbon offset value is an urgent issue for companies and stakeholders.

Again, this can circle back to Genesis AI Corp (CSE: AIG; OTC: AIGFF) Woodlands.ai wildfire prevention development. Here’s how: Investing millions of dollars in forests for carbon offset projects represent a huge loss when those forests burn down. Genesis covers the risk mitigation for forests, and determines their true carbon offset value for stakeholders.

Genesis AI’s (CSE: AIG; OTC: AIGFF) proprietary technology also presents a massive opportunity for the mining industry and Genesis plans to be a disruptive force in urban planning. This is geospatial data analysis on a different level providing the most critical insight into geological characteristics that could make or break a junior explorer given the huge cost of drilling and missing. 

The Mining Module being developed by Genesis Ai is called GeoHarmony; it has proprietary applications, creating heat maps for high-value mineral zones crucial to our energy transition. The tech aggregates big data in hot zones, with metadata search functionality. It offers real-time analytics for drill teams and geologists to improve capital efficiency with a suite of advanced interpretation tools, including XYZ computer vision.  

Genesis also plans to take on urban planning for more sustainable, smart cities. This software market segment, worth $145 billion in 2021, is a climate change necessity. Genesis’ machine-learning algorithms and AI analyze traffic patterns and map out a better future that eases congestion and reduces emissions, in addition to mitigating risks of fires, floods and other natural disasters. Genesis heat-maps cities, catalogues biological assets, assess carbon footprints, studies animal migration and invasive species patterns and develops measures for improving and cooling cities naturally. 

Huge Customer Base Potential in Markets Worth $80 Billion

Led by a team of veteran forestry, AI, high-tech and M&A experts who have worked on billion-dollar projects, Genesis AI Corp (CSE: AIG; OTC: AIGFF) is building the proprietary, powerful Woodlands.ai model that combines artificial intelligence and deep-tech as a holistic approach to tackling climate change and its impacts.

The margins and the revenue potential for Genesis Ai’s bespoke data intelligence is as big as the anticipated customer base, which runs the gamut from governments and landowners to fire officials, forestry companies, the agriculture industry, carbon project developers, commodities traders, insurance conglomerates, financial investors and hedge funds—all looking to get out in front of the next disaster; the next big jump in revenues; the next big thing.

The market is as infinite as AI itself, and Genesis is positioning itself in the leadership of a combined $80-billion market that is only getting bigger. AI is one of the fastest-moving developments the world has even seen, with sentiments and adoption changing at breakneck speed. Genesis Ai is at the forefront of it all, with development moving fast enough to lead to expectations of positive revenues next quarter already. 

Comparable Companies to Genesis AI Corp (CSE: AIG; OTC: AIGFF) 

Note: As of December 1, 2023 Genesis has a market cap of ~C$10 million; and a share price of ~0.17

1. Pivotree (TSXV:PVT; OTC:PVTRF)

Market cap: C$43.9 million; share price: C$1.66

Toronto-based Pivotree is an industry leader in designing, building and managing digital platforms in the areas of commerce, data management and supply chains for over 250 major retail and branded manufacturers worldwide. The company’s digital solutions and its managed and professional services provide retailers with end-to-end solutions for the management of complex digital commerce platforms.

2. Scope Carbon (CSE:SCPE; OTC:SCPCF)

Market cap: C$63.5million; share price: C$1.65

Carbon mapping technology company Scope Carbon is focused on the commercial development of its AI-driven image software. Its Scope Analysis platform targets the identification and estimation of carbon-based lifeforms and carbon emissions. The company intends for the platform to be a single-tool solution in carbon mapping for agriculture, forestry and other land-use projects.

3. Fobi AI (TSXV:FOBI; OTC:FOBIF)

Market cap: C$20.4 million; share price: C$0.115

AI and data intelligence company Fobi AI provides real-time applications to enable businesses to action, leverage and monetize their customer data, as well as improve their sustainability by reducing paper and plastic waste. The company’s customer base includes organizations around the world in industries such as retail, consumer packaged goods, insurance, sports, entertainment and casino gaming.

4. OneSoft Solutions (TSXV:OSS; OTC:OSSIF)

Market cap: C$86.6 million; share price: C$0.71

As a developer of cloud-based business solutions, OneSoft Solutions’ data science technology is based on the Microsoft Cloud platform and services, including Azure Machine Learning, predictive analytics, Power BI Embedded and Office 365. The company’s wholly owned subsidiary, OneBridge Solutions Canada, develops and markets new software-as-a-service solutions to assist oil and gas pipeline operators using advanced data science and machine learning.

OneSoft recently entered into a service agreement with Jemena to provide the Australian energy infrastructure company with its Cognitive Integrity Management system to manage the safety and integrity of its extensive gas pipeline network. In its Q1 financials, OneSoft reported a 72 percent increase in total revenue for the quarter compared to the same period the previous year.

5. BigBear.ai Holdings (NYSE: BBAI)

BBAI has a market cap of $282 million and a public float of ~133 million shares, with 142 million shares outstanding.

BigBear.ai delivers AI and ML solutions for decision support. The company operates in two segments, Cyber & Engineering and Analytics, and offers high-end technology and consulting services. BigBear.ai empowers its customers with real-time decision-making capabilities by aggregating, interpreting, and synthesizing data. YTD shares of BigBear.ai are up 248%. 

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AI can build digital twins of real-word assets, providing invaluable intelligence not only enriching our world of natural resources, but saving it, in the end. 

That’s what Genesis AI Corp is working on right now, and it’s a market space that, when all aspects are combined, is worth over $80 billion right now, and its value is compounding by the minute. 

Genesis AI Corp (CSE: AIG; OTC: AIGFF) is a remote sensing and analysis company that is acquiring large data sets and using AI to process them into risk mitigation tools for forestry and mining, while developing novel carbon, fire risk and recovery and urban planning modules. 

5 Huge Markets Worth >$80 billion in 2023

#1 The Value of Predicting & Preventing Wildfires

So far this year alone, the United States has been devasted by 50,000 wildfires, burning 8.5 million acres of land. Canada isn’t immune, either, watching 7.4 million acres of land burn . And the worst is yet to come…  

Climate change is a key factor in the increasing risk and scale of North American wildfires, which are affected by temperature, soil moisture, and the trees and shrubs that fuel them. “Climate change enhances the drying of organic matter in forests (the material that burns and spreads wildfire),” according to the Center for Client and Energy Solutions.

In general, climate change is creating warmer and drier conditions, while more drought and longer fire seasons are exponentially intensifying the risk of wildfire. An average annual increase in temperature of 1 degree Celsius can increase the burn area by up to 600%, based on recently modeling. Even if people—not nature—cause wildfires, warmer temperatures and drier conditions affect their spread. Land use and forest mismanagement compound the problems caused by climate change—with all three factors expected to further increase wildfire risk in the future. 

Evidence indicates that the average fire events in some regions of the U.S. have quadrupled in size and tripled in frequency over the past two decades. 

A new breed of AI advancements offers us early detection so we can more effectively deploy resources to control wildfires. 

Genesis AI Corp (CSE: AIG; OTC: AIGFF) is developing Woodlands.ai to better manage natural resources through the building of digital twins of real-world forests that can be studied and manipulated for our benefit. Influenced by deep machine learning, neural networks and artificial intelligence, the applications of this advanced technology are far and wide. From carbon offsetting – and forest and land management – to wildfire protection.

It’s intelligence-gathering that can help reset our biological assets and serve as the front-line in the war against climate change. 

What if we could control what happens in our forests? 

Genesis AI Corp (CSE: AIG; OTC: AIGFF) Woodlands.ai is being developed to do just that. It will help predict forest fire behavior, speed up response times and build more resilient forests by providing the intelligence that can help change the way these lands are managed.

This intelligence won’t just mitigate fires, it will help mitigate the risk of fire itself, through the aggregation of all factors that contribute to the fire triangle: heat, fuel and oxygen, and using these factors to feed predictive analysis that can help monitor and maintain biological natural resources.

The Canadian government has committed $256 million to help solve the devastating wildfire problem, and the U.S. government is investing $7 billion to manage the escalating wildfire crisis. 

Without the advanced technology of groups like Genesis, the cost of efforts to mitigate wildfires is prohibitive. Homeowners certainly do not have enough capital to deploy to mitigate this risk. Even governments find it an impossible price tag. Consider that the California government analysis calculated suppression costs for California’s 17 largest wildfires in 2018 to be nearly $1 billion but estimated that the damage totaled $149 billion, including destroyed and damaged buildings and infrastructure, health costs, and economic losses. Genesis AI Corp’s (CSE: AIG; OTC: AIGFF) technology aims to solve this problem, working with insurance companies and all levels of government, from federal to city, to local / municipal. 

Genesis Ai’s Fire and Recovery Module has three components. First, its pre-fire component assess fire risk in forests by tracking weather and moisture, and providing guidance on maximizing capital input. It also measures the effectiveness of government programs. The second component is deployed during a fire, using real-time sensors and inputs. The final component is post-fire, using Ai and machine learning to determine the best allocation of capital for restoration and planting performance, as well as further land management risk assessment. 

Genesis is developing data sets and layering proprietary training models over the top of data. They’ve already acquired immense data sets on forestry and wildfires, as well as the characteristics of a forest that lead to wildfires. In the end, what they have is a ground-breaking AI solution in Woodlands.ai—and they’re gunning for a sizable share of the $7 billion the U.S. is spending, along with the hundreds of millions the Canadian government has already earmarked for fire mitigation. 

#2 How Groundbreaking AI is solving the Growing Wildfire Epidemic and Revolutionizing the Precision Forestry Industry

Bloomberg expects the precision forestry industry to top $6 billion next year already. 

McKinsey calls it a “revolution in the woods”. 

Genesis AI Corp (CSE: AIG; OTC: AIGFF) calls it one of the most profitable applications of AI now, and for the coming decades.

While forestry has found itself dragging its heels on AI adoption compared to other industries, Genesis Ai Corp is on the front line of a new brand of forestry. AI has worked so far, according to McKinsey, to increase agricultural productivity rates by as much as 25% annually, and it can do the same for forestry. The return on investment for functioning AI in this space is massive. The gains can be enormous. McKinsey compares them to the gains in agriculture from the Green Revolution of the 1960s. 

Our current forestry management processes are based on a system that is 300 years old, and “processes are highly manual and analog, with ‘broad-brush’ management prescriptions,” McKinsey says. There is almost no corporate involvement, and public and private owners fail to “to balance diverse objectives for commercial performance with social and environmental goals”. 

It’s time for a major disruption, and much is at stake, with the economic value of industrial wood alone at $200 billion. 

AI will revolutionize forestry by lowering delivered costs for wood and increasing wood yields, which in turn relieves pressure on forests, restoring an ecological balance.

For customers, this predictive technology can be money in the bank. 

Genesis AI Corp’s (CSE: AIG; OTC: AIGFF) Forest Inventory and Cruise Module targets conventional forest owners and forest products companies. It seeks to displace inventory methods with a superior end-product at a lower cost. It will also give the user the ability to model other use cases, from road maintenance databases and detailed financial inventory models to much more accurate predictions on extractive levels, factoring in carbon stocks. It can tell users the cost to harvest, and the amount of money delivered to the market. It can estimate restocking timelines and create a true valuation of forest assets. It can model alternative forest management scenarios; and it can model CO2 sequestration performance and provide on-going validation of a forest’s integrity and carbon offset capacity.

#3 The AI That Could Completely Change the Carbon Offset Market

Carbon offset has a huge problem: No one can verify the claims.

The carbon offset market quadrupled in 2021, year-on-year, to $2 billion. By 2050, Morgan Stanley says the voluntary carbon-offset market is expected to grow 100x to around $250 billion.

But it’s lacking in integrity. It has been very difficult to prove that an offset project is benefiting the environment in a sustaining manner. Forests that were protected by carbon offsets have since burned down, releasing all the carbon captured by the trees, rendering the offset null and void.

What Genesis AI (CSE: AIG; OTC: AIGFF) offers is not only a way to actually measure and legitimize carbon offset projects, but a more holistic approach that also helps prevent wildfires that could reverse any carbon offsets. 

“Trees are the lungs of the world, but we need better tech to ensure the integrity of these projects,” says Genesis project director Brent Tolmie. “Various carbon projects don’t deliver as advertised. We can verify claims with our digital technology.”

Genesis AI (CSE: AIG; OTC: AIGFF) advanced technology uses remote sensing to accurately predict the carbon value of a project, with authenticity, integrity, and transparency.

Not all carbon credits are created equal, and the market for this is consumed by waste, fraud, and abuse, which are the growing pains of a new commodity. Little by little, the bad actors are being weeded out. Now, when companies need to buy carbon assets, they want it to be trustworthy, credible, and reliable. Genesis Ai deploys remote sensing to detect carbon offsets. The more you protect your trees, the better the carbon offset, and to benefit maximally, you must know just how much carbon dioxide the forest is secreting.

Genesis AI Corp’s (CSE: AIG; OTC: AIGFF) Carbon Module, for use in the carbon offset and analysis sector, will automate the standards so that estimates are derived from basic inputs. It also automates the process for developing a carbon offset per individual protocol, providing the user with a pathway to full certification and revenue generation. Further, it can digitally twin a forest for MRV (measurement, recording, and verification), and create training models for forestry types. 

#4 Geospatial Artificial Intelligence for Mining & Disaster Management

Genesis AI Corp’s(CSE: AIG; OTC: AIGFF) advance machine-learning technology is a Software as a Service (SaaS) offering that goes far beyond carbon offsets credibility, precision forestry and mitigating wildfires. It’s also positioned to potentially present a huge advantage to the mining and agriculture industries. The high-tech company’s natural resources module gets beyond the trees and into the soil in a big data boost for extraction and agriculture. 

In mining, geospatial data analytics saves time and money in exploration and extraction allowing Companies to more easily peer into the earth and providing critical insight into location, geological characteristics and other crucial elements that can make or break multi-million-dollar drilling campaigns. 

In agriculture, it’s essential tracking the movements of livestock, identifying vegetation levels, determining required amounts of seed, nutrients, and fertilizers, and more efficiently planning and mapping out production.

The Mining Module, called GeoHarmony, being developed by Genesis Ai has proprietary applications, creating heat maps for high-value mineral zones crucial to our energy transition. The tech aggregates big data in hot zones, with metadata search functionality. It seeks to offer real-time analytics for drill teams and geologists to improve capital efficiency with a suite of advanced interpretation tools, including enhanced computer vision.  

With expenditures in excess of CAD $3.7B being spent on exploration and deposit appraisal in Canada alone, Genesis Ai Corp is positioning to capitalize in this market while boosting the efficiency of spend in a critical sector.

#5 AI’s Total Disruption of Urban Planning

Genesis AI Corp (CSE: AIG; OTC: AIGFF) is upending the way we tackle urban planning, making more sustainable and livable cities possible. It’s our first chance at making cities truly smart, and the transformative capabilities of AI in this field of urban planning software made it worth over $145 billion in 2021.

Machine-learning algorithms, among many other things, can analyze traffic patterns and offer new solutions to reduce congestion, thereby reducing emissions. It can identify areas at risk of flooding, as well, much like it can help mitigate wildfires. AI means increased efficiency, more reliable data analysis, automated decision-making, and streamlined problem-solving—for the benefit of business, society, and the environment simultaneously.

Genesis Ai’s Urban Planning Module is about biological asset deployment and protection for cities and towns. In this module, cities are heat-mapped, biological assets are catalogued, and measures are determined for cooling cities via natural means. Carbon footprints are assessed. Traffic patterns are studied, animal migration and invasive species are analyzed, and the efficacy of various landscaping is mapped out. 

The Holistic, High-Margin Approach

Genesis AI Corp (CSE: AIG; OTC: AIGFF) is all about unifying specialized AI and machine-learning solutions for the holistic management of North America’s ecosystem, and the Canada-based company has a singular advantage: While competitors are looking at basic forestry and the surface of carbon offsets, Genesis is building a powerful AI model (Woodlands.ai) that combines AI and deep-tech to dig way under the surface.

This is the height of AI optimization for precision forestry, wildfire prevention, agriculture, mining, and urban planning. The models are phenomenally detailed and highly intense. This goes far beyond basic remote sensing. Genesis Ai describes itself as “sensor agnostic” because it customizes a machine-learning platform for every need and every eventuality.

The team behind Genesis Ai is a unique collective with decades of experience in forestry management, energy, high-tech and M&A. 

Genesis Project Director Michael ‘Brent’ Tolmie is a 25-year forestry veteran, with a background in forestry management, infrastructure planning, agricultural development and M&A, with a track record of multi-million-dollar contracts for billion-dollar projects. He has worked closely with indigenous groups in Western Canada to develop sustainable residential communities and scalable solutions for new forests. Genesis CTO Geoff Fawkes is a 25-year tech executive who is leading the development of the groundbreaking Woodlands.ai solution for modeling forestry digital twins at Carbonethic. He also played a key role in the 2021 go-public exit of BuildDirect, transforming the company’s tech stack and global software engineering team. 

Genesis AI Corp (CSE: AIG; OTC: AIGFF) is targeting high margins because the prospective clientele is wildly broad and diverse, and the combined value of all the markets in play here is estimated at over $80 billion. 

Governments and landowners are a key target audience, given the sizable financial commitments from Canada and the U.S. to prevent wildfires and ensure precision forestry. Fire management officials and forestry companies are also key potential buyers, along with the agriculture industry, commodities traders, financial investors, and funds. Carbon project developers need this Ai for digital twining, carbon accounting and carbon sequestration data in order to attract institutional investors who have become disillusioned with carbon offset fraud and abuse. 

That’s an endless market, for an Ai/machine-learning development with endless solutions. 

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Key current infrastructure projects are focused on the following areas:

• Roads
• Bridges
• Airports and Seaports
• Building a nationwide network of EV charging stations
• Expanding broadband internet access for everyone, including rural areas.
• Clean water projects
• Green energy initiatives
  

Before the first shovel goes into the ground, the projects need to be engineered.

In this report, I will put the spotlight one of the major engineering firms: Jacobs Solutions, Inc. (NYSE: J).

Jacobs Solutions, Inc. (formerly known as Jacobs Engineering Group) is a global professional services firm that provides a wide range of technical, professional, and construction services to various industries, including aerospace, defense, environmental, infrastructure, transportation, petroleum, and more. The company’s services cover areas such as engineering, architecture, construction, operations, consulting, and maintenance.

Key Services: Jacobs offers a diverse set of services, including:

1. Engineering and Design: The company provides engineering, design, and consulting services for projects ranging from infrastructure development to industrial facilities and more.
   
2. Construction: Jacobs is involved in the construction and management of various projects, including infrastructure, energy, and environmental projects.
   
3. Consulting: The company offers consulting services in areas like environmental sustainability, risk management, and business strategy.
   
4. Infrastructure Development: Jacobs is known for its involvement in large-scale infrastructure projects, such as transportation systems, water treatment facilities, and urban development.
   
5. Aerospace and Defense: The company has expertise in supporting aerospace and defense projects, including research and development, engineering, and technical services.

History: Jacobs Engineering Group was founded in 1947 by Dr. Joseph J. Jacobs. Over the years, the company expanded through acquisitions and organic growth. It became a prominent player in the engineering and construction industry, providing services to governments, private companies, and various sectors.

 Jacobs has been on the receiving end of multiple infrastructure projects in 2023 including.

• A California Recycled Water Plant Expansion
• Major Renovation of Seattle-Tacoma Airport
• $450 Million Great Lakes EPA Superfund Cleanup Projects
• Virginia Passenger Rail Expansion Program

Jacobs stock price has jumped impressively from in 2023 from $118 to $136 for a 15 percent YTD increase in share price.

Birds of a Feather

With hundreds of billions of dollars being awarded to infrastructure projects, the entire engineering sector is reaping benefits from these contracts since the beginning of 2023. Here’s just a few of them:

• AECOM (ACM) Shares rose from $83 to $90
• Emcor Group (EME) Ran up from $142 to $220
• Sterling Infrastructure (STRL) Rose from $32 to $83
• KBR (KBR) Share prices rose modestly from $52 to $60

As infrastructure contracts continue to get awarded, remember that it all starts with engineering. Stay tuned to Global Investment Daily as we monitor this sector.

The post <strong>Investing in Infrastructure? </strong><strong><br></strong><strong>It All Starts with Engineering</strong> appeared first on Global Investment Daily.

Part of fighting more efficiently is the ability to aggregate all available intelligence in record time and to quickly neutralize threats on the battlefield. Another part of the equation is to make sure that the right units are positioned in the right locations with the proper weaponry and ammunition to get the job done.

Logistics are key to making sure that advances are held on the battlefield. Russia has made numerous blunders in Putin’s obsession to drive deep into Ukraine. Tanks and armored personnel carriers ran out of fuel. To this day, there are serious conflicts between the Russian mercenary Wagner Group and the Russian military over ammunition shortages. Marginally trained Russian soldiers are being thrown into the front line “meat grinder” ill-prepared to fight or advance.

Artificial Intelligence (AI) is Given Ukraine a Strategic and Tactical Advantage

In an Op-Ed to the Washington Post, David Ignatius dove deeply into AI software from Palantir, citing how the firm’s software allowed commanders to make fact-based decisions about Russian troop positions and troop movements from a wide variety of resources including satellite images, geothermal photos, tips from civilians, and other sources. 

The most important aspect to this is the sheer speed at which information is delivered. Before a detected Russian unit knows what’s going on, they are targeted and neutralized. The drone and artillery strike is recorded and a damage assessment is fed back into the Palantir software system.

Palantir software also has the capability to communicate and assess the combat readiness of each battalion, including:

·         Level of combat experience in the unit. Are these fresh recruits or seasoned veterans?

·         What kinds of weapons does the unit have in their possession?

·         What is the status of ammunition? How long can they sustain combat operations?

·         What about food and fuel?

These were once logistics issues that were murky at best.  But the landscape of material and resources being supplied to Ukrainian troops is inventoried and updated so that the Palantir can provide detailed reports for military command to know the exact status of personnel and equipment. And this information is available in a matter of seconds instead of weeks.

Between aggregating data on enemy positions while rapidly positioning and fortifying the right units in the battlefield, Ukraine has a marked advantage in this conflict. As long as they have the equipment and artillery to stay in the fight, there is a distinct possibility that they can wear the Russian occupiers down.

AI can help Ukraine win the war against Russian occupation, and Palantir is playing a large role in Ukraine ability to deploy and arm their troops efficiently. For more information visit Palantir’s website.

Stay tuned for further insights into the application of AI technologies across multiple industries.

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