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Prediction: 1 AI Stock Will Be Worth More Than Nvidia and Palantir Technologies Combined by 2030

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Nvidia (NVDA -0.42%) stock has returned 29% this year, and its market value currently stands at $4.2 trillion. Meanwhile, Palantir (PLTR -0.34%) shares have advanced 104%, and its market value currently stands at $360 billion. That brings their collective valuation to $4.5 trillion.

I think Amazon (AMZN 0.97%) can surpass that figure in no more than five years. The company is currently worth $2.3 trillion, so the stock would need to advance 100% for Amazon to achieve a market value of $4.6 trillion. Here’s why that seems likely.

Image source: Getty Images.

Amazon has a strong presence in three growing industries

Amazon has a strong presence in e-commerce, digital advertising, and cloud computing, and all three markets are projected to grow quickly in the next few years. Details are provided below:

  • Amazon runs the largest e-commerce marketplace in the world in terms of revenue and the most popular in terms of web traffic. Despite its dominance, the company is growing faster than the industry average and is projected to gain market share through 2027.
  • Amazon is the third largest ad tech company in the world as measured by sales due to its ability to engage shoppers. It is also the largest retail media advertiser, the fastest-growing category of the broader digital advertising market, so the company is gaining share rapidly.
  • Amazon Web Services (AWS) is the largest public cloud as measured by infrastructure and platform services sales. With more customers and partners than its peers, AWS is uniquely positioned to monetize demand for artificial intelligence (AI) services.

Through 2030, Grand View Research estimates that online retail sales will increase at 11% annually; ad tech sales will grow at 14% annually; and cloud-computing sales will increase 20% annually. That sets Amazon on track for double-digit annual revenue growth through the end of the decade. But investors have reason to believe earnings will increase more quickly than revenue.

Amazon’s AI innovations should result in greater profitability

Amazon has built over 1,000 generative AI applications to make its retail business more efficient, including tools to optimize inventory placement, demand forecasting, and last-mile delivery routes. The company has also debuted an AI model that makes its robot fleet smarter, and it’s building another generative AI model that will let warehouse workers engage fulfillment robots in natural language.

Additionally, Amazon is reportedly developing generative AI software for humanoid robots with the initial goal of assisting delivery drivers. The company wants humanoid robots to ride alongside humans in its electric vans and carry packages to doorsteps. Eventually, the entire process could be automated because Amazon is also developing robotaxis through its autonomous-driving subsidiary Zoox.

Meanwhile, Amazon is also working with AI to make developers more productive in its cloud-computing division. AWS last year said its developer team used its generative AI assistant Amazon Q to upgrade tens of thousands of production applications. Doing so let the team accomplish in minutes tasks the would have taken days, saving the company $260 million, according to CEO Andy Jassy.

Morgan Stanley analyst Brian Nowak recently said Amazon is “one of the companies best positioned to deliver material financial return from physical AI and robotics” in the next few years. He estimates costs related to shipping and fulfillment currently consume about 36% of retail revenue, so the company should become increasingly profitable as it takes steps to automate those workflows.

Why Amazon could be a $4.6 trillion company by 2030

Amazon shares currently trade at 36 times earnings, a reasonable valuation for a company whose earnings are forecast to grow at 18% annually over the next three to five years. If Amazon meets that consensus, its market value can double to hit $4.6 trillion by 2030, while its valuation falls to 31 time earnings. In that scenario, Amazon in five years would be worth more than Palantir and Nvidia’s combined market values today.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors. Trevor Jennewine has positions in Amazon, Nvidia, and Palantir Technologies. The Motley Fool has positions in and recommends Amazon, Nvidia, and Palantir Technologies. The Motley Fool has a disclosure policy.



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AI bills in Michigan House follow heavy-handed and punitive regulatory approach – Mackinac Center

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Newly proposed legislation in Michigan would impose burdensome requirements on artificial intelligence systems. The predictable impact from these proposed laws would be to drive AI development out of the state, likely to China or other Asian economies.

House Bill No. 4667 would create new felony offenses and mandatory prison sentences for the criminal use, development, or distribution of AI systems. House Bill No. 4668 would require AI developers in Michigan to conduct regular risk assessments and third-party audits, as well as implement and publicly disclose safety protocols. Both bills were introduced by Rep. Sarah Lightner, R-Springport. HB 4668 has been referred to the House Communications and Technology Committee. HB 4667 has been sent to the House Judiciary Committee.

A notable feature of HB 4667 is that it would establish an absurdly broad definition of AI as “any machine-based system that can process data, generate content, or simulate human-like interactions, including, but not limited to, chatbots, voice assistants, generative AI models, and automated decision-making tools.” By this definition, basic spreadsheet sort functions would qualify as an AI system. So would routine business marketing analytics, and almost any customer profiling using a computer. Many small business owners have no idea that when they maintain and sort routine customer data in their Excel spreadsheet, they are using “AI.” Yet if they are prosecuted for a separate offense, even a minor violation, they could face a mandatory eight-year prison sentence when the prosecutor adds a violation of HB 4667 to the charges.

An overly broad definition of AI combined with heavy-handed regulations “could inadvertently impose stringent regulatory obligations on common practices that have minimal, if any, adverse impacts on consumer welfare or privacy interests,” according to a recent article by the International Center for Law and Economics. “Small and medium-sized enterprises, in particular, would face significant uncertainty and disproportionately high compliance burdens,” it said. “Indeed, smaller firms already rely heavily on low-risk AI applications to boost productivity and maintain competitiveness in an increasingly technology-driven marketplace.”

The Michigan Chamber of Commerce has concerns, too. “While Michigan HB 4668 is well-intentioned in seeking to address real concerns around AI misuse, it places overly burdensome and impractical requirements on developers. The MI Chamber emphasized that rather than having individual states pass their own AI regulations — risking a patchwork of conflicting and duplicative rules across the country — this issue should be addressed through federal legislation.”

These bills create penalties for things are already illegal. Frauds, scams, defamation, illegal discrimination, and anti-competitive business conduct violate the law regardless of whether AI was used in the process. Thus, it is not clear how victims of illegal conduct will benefit from these proposed AI laws. One group that would benefit greatly, though, is trial attorney bar. Some attorneys would reap new business opportunities by defending clients against prosecutions under HB 4667. Others would gain by bringing class action lawsuits for failing to comply with all the new regulatory requirements under HB 4668, which would apply regardless of whether anyone is actually harmed.

HB 4667 and 4668 follow the regulatory approach of President Joe Biden’s much-criticized 2023 AI executive order, which in the words of analyst Kristin Stout, “sees dangers around every virtual corner” and imposes “regulations born of fear [that] threaten to derail beneficial innovation.” The Biden AI executive order states that the administration “places the highest urgency on governing the development and use of AI safely and responsibly.” President Donald Trump rejected this kind of government-directed approach to AI development when he repealed the Biden AI executive order in his first week in office.

On July 23, Trump issued his own AI executive order, “Winning the Race: America’s AI Action Plan.” The new executive order stresses that cybersecurity, technological innovation, and infrastructure construction are not opposing or wholly separate efforts, but rather complementary objectives to be achieved in tandem. The proposed Michigan laws, by contrast, fail to take into account the importance of promoting technological innovation. Instead, they focus solely on imposing regulatory restrictions and punitive punishments.

American companies are already struggling with excessive state and local mandates, dubbed the “Sacramento Effect” for California’s misadventures in regulating AI. This places our most innovative companies at a competitive disadvantage with foreign competitors and undercuts efforts to stay ahead of China in the race for AI supremacy. HB 4667 and 4668 would add an unwelcome “Lansing Effect” to the most innovative companies in Michigan and give them an incentive to relocate to a more welcoming state, or even another country.




Permission to reprint this blog post in whole or in part is hereby granted, provided that the author (or authors) and the Mackinac Center for Public Policy are properly cited.





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AT&T Exec on Why AI, 5G Are Critical to IC

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The intelligence community requires not just artificial intelligence, but reliable 5G connectivity to maintain its strategic advantage against adversaries, according to Jill Singer, vice president of national security for AT&T and an eight-time Wash100 Award winner.

In an article posted on the AT&T website, Singer said AI and 5G implementation within the IC is no longer optional but mission essential.

Singer will take the stage alongside intelligence community leaders at the Potomac Officers Club’s 2025 Intel Summit on Oct. 2. She will serve as moderator in a panel about the role of artificial intelligence in supporting the IC mission. AT&T is also a platinum sponsor of the highly anticipated government contracting event. Secure your tickets today.

Why 5G is Crucial in AI Implementation

AI is capable of ingesting and processing complex data sets from various sources, including satellite imagery and signals intelligence, and then turning information into actionable insights. The technology also powers autonomous systems and unmanned platforms operating in high-risk environments, allowing personnel to carry out missions from a safe distance.

Singer explained that, to reap the benefits of AI, the IC needs an infrastructure that delivers the speed, capacity and reliability that the technology needs for real-time data exchange. She pointed out that 5G networks offer ultra-low latency connectivity, higher bandwidth and network slicing capabilities that would facilitate the seamless flow of data between AI-enhanced sensors, devices and platforms.

The executive also shared that 5G connects assets on land, sea, air or space and supports computing on the tactical edge.

Why AT&T

In the article, Singer highlighted AT&T’s 5G offering to support the employment of AI for IC missions.

She shared that the company’s communications network is equipped with encryption, zero-trust architectures and multi-factor authentication to protect sensitive data. The company also uses AI at its 24/7 Security Operations Centers to monitor network activity and identify and respond to threats, the executive added.

Moreover, Singer noted AT&T’s decades of experience supporting missions.

“Our professionals are leaders in secure networks, AI and 5G innovation,” she said. “Through close relationships with government agencies, technology providers, and research institutions, we co-develop and implement solutions tailored to the IC’s unique needs.”





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BlackSky wins second NGA ‘Luno’ contract to track global changes with satellites and AI

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WASHINGTON — BlackSky secured a second contract from the National Geospatial-Intelligence Agency (NGA) under the Luno A program, the company announced Sept. 16. 

The award, confirmed by NGA to be worth $24.4 million, brings BlackSky’s total orders under Luno A to nearly $50 million in just three months. The deal underscores the agency’s push to fold commercial satellite data and artificial intelligence into U.S. national security workflows.

The Luno program — split into Luno A and Luno B — is structured as a five-year, $490 million ceiling indefinite delivery/indefinite quantity (IDIQ) contract. That means NGA can issue task orders over time as needs evolve. Luno A is specifically focused on commercial analytic services powered by machine learning and computer vision, while Luno B will look at directly integrating commercial AI tools into NGA’s own analytic processes.

BlackSky’s first Luno A award, announced in June, was worth $24.4 million and tasked the company with facility and object monitoring — tracking activity around aircraft, ships, ground equipment, and railcars, and identifying changes at high-priority sites.

Under the second award, according to BlackSky, the company will fuse data from its Gen-3 and Gen-2 imaging satellites with other commercial sources to detect areas of the Earth undergoing human-caused change. That includes shifts in natural resources, climate effects, infrastructure growth, and both economic and military activity.

“BlackSky’s automated detection algorithms will monitor anomalies in real-time and report changes in natural resources, climate, infrastructure development and economic and military activity,” the company said in a statement.

Gen-3, Gen-2, and tip-and-cue

BlackSky highlights its third-generation imaging satellites as a differentiator in the increasingly competitive commercial intelligence sector. Gen-3 delivers 35-centimeter resolution imagery with AI-enabled analytics that the company says are available within 12 hours of launch. For NGA and defense customers, the selling point is “warfighter speed” — meaning information arrives quickly enough to support real-time decision-making.

The company also leans heavily on its tip-and-cue architecture, where its second-generation satellites provide wide-area surveillance and “tip” or flag points of interest to higher-resolution Gen-3 satellites. Gen-3 can then be “cued” to collect sharper imagery of a specific site. In practice, this allows Gen-2 to monitor routine activity at facilities while Gen-3 zeroes in on changes to vehicles, equipment or infrastructure. In a military context, the combination provides both situational awareness and tactical-level intelligence.



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