prediction

Nvidia (NVDA -0.31%) stock has been a fantastic performer over the short and long terms. Shares of the artificial intelligence (AI) chip and infrastructure leader have returned 1,440% and 26,960% over the last three years and decade, respectively, as of Friday, Oct. 17. These performances have transformed a $1,000 investment into $15,400 and $270,600, respectively. By comparison, one grand invested in the S&P 500 index has turned into $1,894 in three years and $3,910 in 10 years.

With Nvidia stock’s eye-popping gains, it’s easy to wonder if you missed your chance at buying shares. The answer is no, in my view, as Nvidia stock has many years of great performance left.

There are two reasons for my optimism. First, the AI revolution is still in its early stages. Second, Nvidia’s graphics processing units (GPUs) are the gold standard for processing AI workloads, and there is no indication that they’re in danger of losing that status, at least not for some time.

Below are my prediction ranges (a best case and a base case) for Nvidia stock’s price in about five years, or by the end of 2030. My estimates are built upon data provided by Nvidia’s CEO and CFO on the company’s most recent quarterly earnings call. (Nvidia’s earnings calls are chock-full of valuable data — and listening to them is worth the time.)

Image source: Getty Images.

Nvidia CFO: “We see $3 [trillion] to $4 trillion in AI infrastructure spend by the end of the decade.”

From CFO Colette Kress’ remarks on Nvidia’s fiscal second-quarter earnings call in late August:

We are at the beginning of an industrial revolution that will transform every industry. We see $3 [trillion] to $4 trillion in AI infrastructure spend by the end of the decade. The scale and scope of these [AI infrastructure] buildouts present significant long-term growth opportunities for Nvidia Corporation. [Emphasis mine.]

Numbers from CEO: 58% to 70% of an AI faciility’s cost goes to Nvidia

From CEO Jensen Huang’s remarks on the fiscal Q2 earnings call:

And so our contribution … is a large part of the AI infrastructure. Out of a gigawatt AI factory, which can go [cost] anywhere from … $50 to $60 billion, we represent about $35 [billion] plus or minus of that.

Huang is saying that a typical 1-gigawatt AI data center or other AI facility costs about $50 billion to $60 billion to build, and that about $35 billion of that cost is for Nvidia’s AI technology.

So, about 58% ($35 billion divided by $60 billion) to 70% ($35 billion divided by $50 billion) of the total cost of an AI facility is the cost of buying Nvidia’s tech.

Putting together the data provided by Nvidia’s CFO and CEO

Kress said the company expects total global AI infrastructure spending to be $3 trillion to $4 trillion annually by the end of the decade. (It’s not clear whether she meant by 2029 or 2030, but I’m using 2030 to be conservative. Moreover, Nvidia just published a presentation that uses the $3 trillion to $4 trillion projection by 2030.)

Of that $3 trillion to $4 trillion, Nvidia stands to take in 58% to 70% of it, according to Huang. This assumes that percentage range remains about the same. This will be part of my “best-case estimate,” but I am also going to calculate a “base-case estimate” that assumes Nvidia’s percentage of total AI infrastructure spend declines moderately, by 20%. This will account for the potential for increased competition by chipmaker Advanced Micro Devices (AMD) and others.

Revenue from AI infrastructure spend that Nvidia should generate in about five years:

• Best-case estimate: 58% to 70% of $3 trillion to $4 trillion = $1.74 trillion to $2.8 trillion.
• Base-case estimate: 46% to 56% (I chopped 20% off the percentages in the best-case range) of $3 trillion to $4 trillion = $1.38 trillion to $2.24 trillion.

Calculating my Nvidia stock price target ranges for 2030

Now, I’ll use the numbers calculated above to come up with price target ranges for Nvidia stock in about five years. Two additional data points needed:

• Nvidia stock’s closing price on Oct. 17: $183.22.
• Nvidia’s AI-driven data center revenue was $41.1 billion (of its total revenue of $46.7 billion) in its most recently reported quarter (fiscal Q2, ended July 27). This equates to an annual run rate of $164.4 billion ($41.4 billion X 4).

Nvidia stock best-case price target in five years: $1,942 to $3,115.

1. Nvidia’s projected AI infrastructure revenue in five years: $1.74 trillion to $2.8 trillion.
2. Nvidia’s AI infrastructure revenue currently: annual revenue run rate of $164.4 billion.
3. Step 1 numbers divided by Step 2 number: 10.6 to 17.0. This means Nvidia’s annual data center revenue should increase by 10.6 to 17.0 times in 5 years.
4. Nvidia stock price at market close on Oct. 17: $183.22.
5. Valuation assumption: I am assuming that Nvidia stock’s earnings-based valuation will remain the same in five years. That’s because its valuation is reasonable now given its growth and projected growth dynamics, in my view. (Trailing and forward price-to-earnings (P/E) ratios are 51.5 and 28.7, respectively.)
6. The above assumption means the conversion from revenue growth (Step 3 numbers) to stock price growth will be straightforward.
7. $183.22 X 10.6 to 17.0.
8. Stock price target in five years: $1,942 to $3,115.

Nvidia stock base-case price target in five years: $1,300 to $2,125.

1. Nvidia’s projected AI infrastructure revenue in five years: $1.38 trillion to $2.24 trillion.
2. Nvidia’s AI infrastructure revenue currently: annual run rate of $164.4 billion.
3. Step 1 numbers divided by Step 2 number: 8.4 to 13.6. So, Nvidia’s annual data center revenue should increase by 8.4 to 13.6 times in five years.
4. Nvidia stock price at market close on Oct. 17: $183.22.
5. Valuation assumption: I am assuming that Nvidia stock’s earnings-based valuation remains the same in five years.
6. The above assumption means the conversion from revenue growth (Step 3 numbers) to stock price growth would be straightforward.
7. BUT, I’m going to assume that the data center platform’s profitability declines modestly due to the possibility of increased competition. I can adjust the factors in Step 3 down by 15% to account for this since I had been assuming a straightforward relationship between revenue, earnings, and price target growth.
8. [8.4 to 13.6] x [85%] = 7.1 to 11.6.
9. $183.22 X 7.1 to 11.6.
10. Stock price target in five years: $1,300 to $2,125.

Why there is upside to both these target ranges

I only considered Nvidia’s data center market platform growth when calculating my price targets. That’s because this AI-driven platform accounts for the vast majority of the company’s revenue and earnings — and stock price gains are usually driven by earnings growth.

In the first half of the current fiscal year, the data center platform accounted for 88% of Nvidia’s total revenue. And it accounted for an even higher percentage of total earnings. That percentage is unknown because management does not break out earnings or other profitability metric by platform. But management has said that its data center platform is more profitable than its overall business. So, the data center platform probably accounts for in the mid-90% of total earnings.

If one or more of the company’s other market platforms (gaming, professional visualization, and auto) grows revenue and earnings tremendously over the next five years, that should be upside for my price targets. The auto platform has the potential to be a big winner over the next five years due to driverless vehicles steadily progressing toward legality. Nvidia’s end-to-end AI-powered driverless tech platform is widely adopted.

Caveat about the economy and overall stock market performance

My estimates assume the U.S. economy remains in at least a minimal growth mode and the stock market remains in a bull market for much of the next five years.

I don’t think a mild and relatively brief recession would derail my Nvidia stock price targets, at least not by much, but a deep or long-lasting recession and long-lasting bear market would almost surely derail them.

My wrap-up

Nvidia stock best-case price target in five years: $1,942 to $3,115. (Of course, the stock would most likely split before it reached these levels, but the underlying growth remains the same.) This equates to Nvidia’s stock price increasing by 10.6 to 17.0 times. It also equates to a compound annual growth rate (CAGR) of 60% to 76%.

Nvidia stock base-case price target in five years: $1,300 to $2,125. This equates to Nvidia’s stock price increasing by 7.1 to 11.6 times. It also equates to a CAGR of 48% to 63%.

Taken together, the Nvidia stock price target range in five years is $1,300 to $3,115.

Nvidia has been the dominant force in the global semiconductor industry thanks to its graphics processing units (GPUs), which have played a critical role in enabling the proliferation of artificial intelligence (AI) applications. The demand for Nvidia’s GPUs has been so solid in the past three years that Nvidia has now become the world’s largest company.

Nvidia continues to rule the AI data center GPU market, facing very little threat from its peers so far. Analysts are expecting its top line to jump by an impressive 58% in the current fiscal year to more than $206 billion. That’s quite impressive for a company of Nvidia’s size. The stock registered respectable gains of 34% on the market this year based on the healthy growth that the company continues to deliver.

However, Nvidia’s stock market performance has been overshadowed by Broadcom (AVGO -1.24%). Broadcom has appreciated 48% this year and looks set to end 2025 on a high note following recent developments. In fact, it won’t be surprising to see Broadcom stock outperforming Nvidia next year as well. Let’s see why that may be the case.

Image source: Nvidia.

Custom AI chips are expected to witness stronger demand in 2026

So far, the majority of AI model training and inference has been carried out by Nvidia’s GPUs. GPUs are general-purpose computing chips with massive parallel computing power, making them ideal for quickly training AI models and moving them into production. OpenAI chose Nvidia’s A100 data center GPUs to train its popular chatbot ChatGPT three years ago.

Nvidia built upon its first-mover advantage and controlled an estimated 92% of the AI data center GPU market at the end of last year. However, the latest deal struck between OpenAI and Broadcom indicates that Nvidia’s influence over the AI chip market could wane. OpenAI will buy custom AI accelerators worth a whopping 10 gigawatts (GW) from Broadcom starting in the second half of 2026.

The deployment is expected to be completed by the end of 2029. This is a massive deal for Broadcom considering that it reportedly costs around $10 billion to build a 1 GW data center. Around 60% of the investment that goes into building a data center is allocated toward chips and other computing hardware, which would put Broadcom’s potential addressable market from each gigawatt of OpenAI’s deployment at $6 billion.

So, Broadcom could be sitting on a potential revenue opportunity worth $60 billion from this deal over the next three years. Broadcom’s custom AI processors have already been in terrific demand as hyperscalers and AI giants such as OpenAI are gravitating toward these chips because of the advantages they enjoy over GPUs.

Custom AI processors are designed for performing targeted tasks, such as AI inference. As a result, they are not only more power-efficient at running those workloads but also enjoy a performance advantage since they don’t need to perform any other tasks. Hence, deploying custom AI processors can help save costs for hyperscalers.

Shipments of application-specific integrated circuits (ASICs) meant for deployment in AI data centers are expected to increase by 45% in 2026, compared to the expected growth of 16% in GPUs. Broadcom is in the best position to make the most of this growth opportunity as it leads the ASIC market with an estimated share of 70%.

Moreover, the new deal with OpenAI along with another $10 billion contract with an unnamed customer that the company announced last month should ensure outstanding growth in Broadcom’s AI revenue next year.

Broadcom’s AI revenue could now increase at a faster pace

Broadcom is on track to end the current fiscal year with almost $20 billion in AI revenue, an increase of 64% from the previous year. The company reported a record revenue backlog of $110 billion at the end of the fiscal third quarter (which ended on Aug. 3). That backlog is likely to have moved higher following the recent deals struck by the company.

Don’t be surprised to see Broadcom’s revenue jumping at a faster pace than the 33% growth that Wall Street is expecting next fiscal year, which would be a nice improvement over the 23% growth it is expected to deliver in the current one. There is a good chance that its revenue growth in the long run could be better than expectations as well.

AVGO Revenue Estimates for Current Fiscal Year data by YCharts

Broadcom was already anticipating a serviceable addressable market worth $60 billion to $90 billion based on the three AI customers it was serving until earlier this year. That addressable market is now much bigger following the OpenAI contract, which opens up the possibility of stronger growth and more upside for Broadcom investors.

Artificial intelligence (AI) represents a major opportunity for businesses across industries to develop products faster and cheaper than ever before. The race to gain a data-driven edge on the competition is fueling massive investment across the entire tech supply chain from data centers to software.

Many of the key players enabling this new industrial revolution are already valued at over $1 trillion market caps. But as governments and businesses continue to invest in this technology, there are two AI enablers that are still valued under $500 billion that could be worth buying today. Here’s why growing competition in AI could propel these companies into the trillion-dollar club.

1. Palantir Technologies

Palantir (PLTR 0.11%) started as a government contractor, providing AI-powered software for intelligence and counterterrorism efforts. But now its software is experiencing insatiable demand in the private sector. Companies are seeing significant cost savings, which means Palantir can benefit from companies scrambling to adopt AI solutions to remain competitive.

If one company in an industry uses Palantir to gain operating efficiencies, it creates a competitive advantage. This pushes more businesses to consider investing in Palantir’s platforms or risk falling behind. This can explain in part why Palantir’s U.S. commercial revenue has exploded this year, nearly doubling year over year in the second quarter.

Palantir closed its highest quarter yet of total contract-value bookings of $2.3 billion, representing a year-over-year increase of 140%. It is signing bigger deals while also seeing existing customers continue to spend more, leading to a healthy 128% net-dollar retention rate.

Palantir is effectively a tool that improves a company’s profits. Its software is expensive relative to alternative software vendors, but Palantir still expects accelerating growth next quarter. This signals it has a competitive edge. Palantir’s ontology-based system creates a digital twin of a company’s operations, helping managers make sense of unorganized data for better decision making.

Importantly, Palantir is converting revenue into very high margins that are driving robust growth in earnings and free cash flow. This is one reason why the stock has performed so well and may continue to outperform Wall Street’s expectations.

For what it’s worth, widely followed tech analyst Dan Ives at Wedbush Securities sees Palantir stock hitting a market cap of $1 trillion in the next three years. Keep in mind, the stock trades at an expensive valuation, so market sentiment will play a role in how the stock performs in the near term. Given the potential for volatility in the share price, investors should plan on holding it for at least 10 years. Long term, the savings and efficiencies Palantir brings to other companies could make it one of the most valuable companies in the world.

Image source: Advanced Micro Devices.

2. Advanced Micro Devices

The companies providing the chips for AI continue to benefit from increasing competition among the leading model builders. OpenAI just announced a deal to deploy six gigawatts of chips, which amounts to hundreds of thousands, from Advanced Micro Devices (AMD -0.52%) over the next several years.

OpenAI’s ChatGPT is the most popular AI model with over 700 million weekly active users. But to meet growing demand, it has to expand its compute capacity to compete with rivals, including xAI’s Grok and Google Gemini, which also continue to invest in more infrastructure. This growing competition will benefit AMD.

OpenAI’s deal with AMD validates the capabilities of its upcoming pipeline of graphics processing units (GPUs). AMD’s data center business has not been growing as fast as Nvidia‘s, but it is expected to accelerate over the next year, and the deal with OpenAI is a catalyst.

While Nvidia’s GPUs have been widely used by data centers for powering large AI training loads, AMD’s chips have an advantage in handling small-to-medium-sized AI tasks. This is by design. AMD’s Instinct family of GPUs feature a high amount of memory bandwidth that makes them well suited for the AI inference market, which CEO Lisa Su believes is going to be much bigger than AI training.

OpenAI will deploy the first gigawatt of AMD Instinct MI450 GPUs in the second half of 2026. Analysts currently expect AMD’s revenue to grow 28% in 2025 before increasing by 26% in 2026, according to Yahoo! Finance. Earnings should grow even faster due to the high margins of data center GPUs.

The stock currently has a market cap of $350 billion. Assuming the stock continues to trade around the same price-to-earnings (P/E) multiple, AMD has a good chance to reach a $1 trillion market cap by 2030. Wall Street analysts expect earnings to grow at an annualized rate of 34%, which is enough to generate outstanding returns for investors.

LONDON — With receiver Puka Nacua out for their game on Sunday against the Jacksonville Jaguars in London, the Rams are counting on Davante Adams, Tutu Atwell and Jordan Whittington.

Adams, a three-time All-Pro in his first season with the Rams, has been targeted 55 times. He has 26 catches for 396 yards and three touchdowns.

Adams and quarterback Matthew Stafford have connected on several dynamic plays, but their timing remains a work in progress.

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Gary Klein reports from Rams practice at Camden Yards in Baltimore as the team prepares for its London game against the Jacksonville Jaguars.

“It’s not how I drew it up as far as efficiency goes,” Adams said. “I think we both would’ve liked to be a little bit more efficient, but I know for myself over the last few [games], just based off how we started, [there’s been] a little bit of pressing.”

Stafford put the onus on himself.

“There’s been some good ones,” he said. “There’s been some missed ones. I would take the majority of the blame on a lot of those and just give him a better chance on a couple.”

Adams rose to stardom while playing eight seasons with Aaron Rodgers with the Green Bay Packers. But that connection also took time, Adams said.

“It definitely didn’t start off the first couple years, let alone the first couple of games the way that we got going,” Adams said. “Not that we have another 10 years to go, but it takes time. It’s not easy.

“Puka and Matthew have been playing together for years now and they have a little better understanding of where one another is going to be, what to expect, and just making it work. It’s been a few where there’s really no excuse for me or him. We just have to put it together.”

Atwell will be back after sitting out last Sunday’s victory over the Baltimore Ravens because of a hamstring injury. Atwell has four catches on nine targets, including one for a long touchdown.

But he said he was not concerned about targets as much as affecting the game in other ways. The speedy threat opens opportunities for Nacua, Adams and others.

“Every opportunity we’ve given him, he’s seized it,” Stafford said. “I don’t see anything different happening. If he gets more opportunities in this game, I have a ton of trust in him.”

Everyone wants to own quantum computing stocks. Companies like IonQ (NYSE: IONQ) are up hundreds of percent in the last year, with the aforementioned stock now at a market cap of $25 billion while generating less than $100 million in revenue. Quantum computing could drive huge gains in productivity if the technology is ever commercialized, but today, IonQ is a highly speculative company with little to no business model. This makes it an incredibly risky stock to own.

Here are two stocks not betting on a speculative science fiction future, but creating value in the present. Both Remitly Global (RELY -3.13%) and Portillo’s (PTLO -2.76%) will be larger than IonQ in five years’ time. Here’s why you should add them to your portfolio over any quantum computing stock.

Remitly’s disruptive opportunity

Remitly Global has moved in the opposite direction from IonQ in 2025. Shares of the remittance provider are off 42% from highs set earlier in 2025, while IonQ is up 78% year to date (YTD) and just reached a new all-time high.

Investors are nervous about Remitly because of the immigration crackdown in the United States, which may reduce cross-border payments from the United States to Mexico and other Latin American countries. This is Remitly’s core business as a mobile disruptor to the legacy players, such as Western Union. Fears are also rising due to a new tax on remittance payments, although it is just a 1% tax and likely not to greatly impact payment flows.

Despite these worries, Remitly has posted strong growth throughout 2025. Revenue was up 34% year over year last quarter, with 40% growth in send volume. Not only is Remitly completely disregarding immigration fears for remittance demand, but it is also taking a ton of market share from legacy players due to its low fees and easy-to-use mobile application.

What’s more, Remitly is starting to get profitable. On $1.46 billion in trailing revenue, the business generated an earnings before interest and taxes (EBIT) of $27 million, with plenty of room to increase its operating leverage over time. Compare that to IonQ with minimal revenue and huge operating losses, and Remitly looks like a company that should have a larger market cap than any quantum computing stock.

Image source: Getty Images.

Portillo’s expansion plans

Portillo’s is a restaurant chain that sells Chicago-style street food, such as hot dogs and Italian beef sandwiches. It has begun to expand to other markets such as Texas and Florida with average success, as some of its restaurant volumes have been hit by a broad slowdown in consumer spending at restaurants in 2024 and 2025.

Despite this, Portillo’s is poised to grow substantially in the years ahead. It is planning to slowly grow its presence in new states around the country, bringing this beloved Chicago brand to a national stage. Last quarter, Portillo’s posted just 3.6% annual revenue growth, but that is due to the fact that its new store openings are going to be weighted to the back half of 2025. With the company planning to have just around 100 restaurant locations at the end of this year, there is still a huge runway for the concept to expand to new metropolitan areas in the United States.

Portillo’s has a market cap of just $464 million today. Investors may look at this market capitalization compared to IonQ and think it is impossible for the restaurant operator to surpass the $25 billion stock within five years. But let’s truly compare the underlying financials to show why IonQ is grossly overvalued at its current price.

Over the last 12 months, Portillo’s generated $65 million in EBIT on $728 million in revenue. IonQ generated just $53 million in revenue and lost $351 million (it has never been profitable). Portillo’s may not surpass a $25 billion market cap in five years, but it will be larger than IonQ because IonQ does not deserve anything close to a $25 billion valuation.

Buy Remitly and Portillo’s. Avoid IonQ and other quantum computing stocks. Your portfolio will thank you five years from now.

Megacap technology stocks have been leading the market higher, and the odds of that happening again next year are high. As such, the Vanguard Growth ETF (VUG -3.28%) and the Invesco QQQ Trust (QQQ -3.47%) are both well positioned to once again outperform the S&P 500 in 2026.

Despite a few pauses along the way, this market has been powered by growth stocks, especially those tied to artificial intelligence (AI). Nvidia (NASDAQ: NVDA) has been one of the biggest winners, as it’s grown to become the largest company in the world with its graphics processing units (GPUs) powering the AI infrastructure boom. Meanwhile, cloud computing leaders, such as Microsoft (NASDAQ: MSFT), Amazon, and Alphabet, have all benefited from insatiable growth coming from AI demand.

They are all cash-rich, entrenched companies that have built scale and network effects that competitors will struggle to catch. They’re also the heaviest-weighted stocks in the market-cap-weighted growth exchange-traded funds (ETFs), which is why the Vanguard Growth ETF and Invesco QQQ Trust have done so well when tech has been in the driver’s seat. Both are built to let their winners run, and both have consistently delivered better returns than the S&P 500 over the past decade.

Even at record highs, I wouldn’t sit on the sidelines waiting for a correction. If you try to time a pullback, you risk missing the gains these leaders keep generating. Dollar-cost averaging into these ETFs remains one of the smartest ways to play this trend and stay invested without worrying about short-term swings.

Let’s take a closer look at why these ETFs are poised to once again outperform in 2026.

Vanguard Growth ETF

An investment in the Vanguard Growth ETF is a simple bet that large-cap growth stocks will continue to outperform value stocks. The ETF tracks the performance of the CRSP US Large Cap Growth Index, which is essentially the growth side of the S&P 500.

Its top 10 holdings are very similar to the S&P 500, but you’re getting these stocks in a much higher concentration, since it doesn’t hold any value stocks. The fund’s top 10 holdings make up more than 60% of its portfolio, compared with less than 40% for the S&P 500 itself. Meanwhile, over 60% of its holdings are in tech stocks, while a third of the S&P is made up of technology names.

That concentration is exactly why it tends to outperform when tech and growth stocks lead the market. It has been outpacing the broader index for years. Over the past decade, it’s generated an average annual return of 18% compared to 15.3% for the S&P 500. While that may not sound like a lot, with a $10,000 investment, that would be the difference between an ending balance of around $52,300 versus $41,500 for an ETF that tracks the S&P 500.

Image source: Getty Images.

Invesco QQQ Trust

Another ETF that looks well positioned to outperform the S&P 500 again in 2026 is the Invesco QQQ Trust. It tracks the Nasdaq-100, which focuses on the largest non-financial names on the Nasdaq exchange. The result is a tech-heavy growth fund where more than 60% of its assets sit in technology and much of the rest is in other growth areas.

Just like the S&P 500, the Nasdaq-100 is a market-cap-weighted index that is designed to let its winners run. So, when stocks like Nvidia and Microsoft soar, they naturally become a larger part of the ETF without any manager stepping in to rebalance. That means the fund rewards its winners and automatically reduces exposure to companies that fall behind.

The Invesco QQQ Trust’s track record is outstanding. Over the past 10 years, it’s returned around 20.3% annually, and a $10,000 investment over that period would be worth around $63,600. Even more impressively, the ETF has topped the S&P 500 more than 87% of the time on a 12-month rolling basis over this period.

As such, it’s not too bold of prediction that it will once again outperform next year.

Dogecoin (DOGE -17.67%) was never really supposed to be a functional cryptocurrency. It’s a clone of a clone of Bitcoin with a few funny tweaks to the code, intentionally making Dogecoin less secure and less valuable in the long run.

Yet, its adorable dog mascot and support from popular meme lords made Dogecoin one of the most valuable cryptos on the planet. With a $37.6 billion market cap as of Oct. 9, it would be a mid-range member of the S&P 500 (SNPINDEX: ^GSPC) if it were a stock, comparable to household names like Yum! Brands or Delta Air Lines.

But these things change over time. Five years ago, Dogecoin was only the 43rd-largest name in crypto, with a $328 million market value. About one-third of the coins ranked above it in 2020 have fallen out of the top-100 list, according to CoinMarketCap.

And I think Dogecoin’s days in the spotlight are numbered. Thanks to firmer regulation, the advent of crypto-based exchange-traded funds (ETFs), and the incoming Web3 trend, the top coins of the relatively near future will have to prove their worth with real-world usage. Dogecoin doesn’t have much to offer in that department. By 2030, I expect Chainlink (LINK -15.25%), Avalanche (AVAX -14.17%), and Polkadot (DOT -21.71%) to have passed Dogecoin’s market value.

Sorry Doge, these coins are stealing your lunch. Image source: Getty Images.

Let’s talk about the Web3 revolution

Spoiler alert: I’ll keep coming back to Web3 ideals in these explanations. Cryptocurrencies should go mainstream in that world, where internet users own their data, digital assets, and online identities through blockchain technology rather than relying on big tech companies.

I mean, most people may be unaware of the Web3 changes going on behind the scenes, and the best Web3 apps will surely look and feel like any other application. But the structural changes are still necessary, and that’s why I like this particular trio of future crypto giants.

1. Polkadot connects the crypto universe

On that note, I have to mention Polkadot. It’s the brainchild of the Web3 Foundation, founded by Web3 champion and Ethereum (ETH -6.65%) co-founder Gavin Wood.

Polkadot’s main purpose is to help app developers take full advantage of many other cryptocurrencies and blockchain ledgers. It connects to the other cryptos, easily transferring data between them and simplifying the design of complex crypto apps.

It’s also incredibly fast, which comes in handy when interacting with some of the highest-performance crypto systems available. And thanks to a recent community vote, there is now a hard cap on the number of Polkadot coins that will ever exist — making it as inflation-resistant as Bitcoin.

Polkadot is much smaller than Dogecoin today, with a market cap of just $6.6 billion. That value relationship should flip by 2030.

2. Smart contracts would be pretty dumb without Chainlink

Chainlink is another crucial Web3 component. The leading oracle coin collects real-world data and delivers it to blockchain systems, usually to trigger smart contracts.

Development ecosystems such as Ethereum and Polkadot often rely on Chainlink to collect critical data. Popular data feeds include stock market pricing, foreign exchange rates, weather reports, and sports results. Without these data feeds, the Web3 world would grind to a halt — and Chainlink is the top data provider by far.

Chainlink is currently the 11th-largest cryptocurrency, with a market capitalization of $15 billion. This figure should trend higher over the next few years as Dogecoin fades.

3. Avalanche brings eco-friendly speed to Web3

Finally, Avalanche is a high-performance alternative to Ethereum. This coin combines quick smart contract execution with an energy-efficient computing back-end, making Avalanche a popular platform for eco-friendly decentralized apps.

And the Avalanche-based app portfolio is growing by leaps and bounds right now. Fresh examples include a global social network for sports fans, a decentralized fine wine database, and digital tickets to the Latin American baseball championships of 2025. These projects all hit the public market in the last two weeks.

Avalanche’s market cap stands at $12.0 billion today, up from $7.7 billion six months ago. Avalanche is a vibrant cryptocurrency with a real shot at Web3 relevance. Sorry, Dogecoin — Avalanche will probably also eclipse you in the next five years.

After consecutive losses, the Chargers are at an inflection point. Can they take advantage of a get-right game against a 1-4 team that’s just as banged up as the Chargers are?

A big challenge will be moving forward with the running game now that rookie Omarion Hampton has joined Najee Harris on injured reserve. The opportunity to pick up lots of yards is there, as Miami’s front seven have been hopelessly porous against the run.

“Time to shine, step up,” Chargers coach Jim Harbaugh said.

Back in 2020, the Dolphins used the No. 5 pick on quarterback Tua Tagovailoa and the Chargers used No. 6 on Justin Herbert. A decade before that, Dolphins owner Stephen Ross tried to hire Harbaugh as Miami’s coach.

How the Chargers can win: Run the ball. Even with their top two running backs out, the Chargers can trample a defense that gave up 206 yards rushing last week to little known Rico Dowdle. Contain tight end Darren Waller, one of Miami’s few bright spots. Force Tagovailoa to improvise; he can struggle when he’s out of rhythm.

How the Dolphins can win: Get De’Von Archane the ball in space; he can do damage when he gets out on the edge. Make Herbert one dimensional by containing the Chargers’ ground attack. Protect Tagovailoa, whose strengths are his timing and anticipation. He thrives on offensive structure.

The Rams are playing an opponent on Sunday that will be without its star quarterback and other noteworthy starters.

Sound familiar?

A week after the Rams lost to the seemingly undermanned San Francisco 49ers, they will travel to play the Lamar Jackson-less Baltimore Ravens and M&T Bank Stadium. It’s the start of an extended road trip that will see the Rams remain in Baltimore to prepare for their Oct. 19 game against the Jacksonville Jaguars in London.

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Gary Klein breaks down what to expect from the Rams as they prepare to face the Baltimore Ravens on Sunday before flying to London ahead of their Week 7 contest against the Jacksonville Jaguars.

“You can never go into a game and be like, ‘Oh man, we’re about to walk over somebody,’” Rams defensive lineman Kobie Turner said. “It’s all NFL guys. You don’t bring your A-game for one time and you’re going to get cooked.”

The Rams found the hard way in a 26-23 overtime defeat by the 49ers. Backup quarterback Mac Jones carved up the defense with quick passes that staved off the pass rush and challenged linebackers and defensive backs.

Jackson is out because of a hamstring injury, so Cooper Rush is expected to start.

“You have to remind yourself it’s any given Sunday,” safety Quentin Lake said. “You’re sometimes like, ‘Oh man, Lamar’s out or whoever their top-tier players are.’ But now the guys coming in are even more hungry because they have to prove themselves. They’re going to give it their all and they have nothing to lose.”

The last time the Rams visited M&T Bank Stadium, they lost when the Ravens returned a punt for a walk-off touchdown.

Special teams are once again an issue for the Rams.

They have had four kicks blocked this season, including an extra-point attempt in the loss to the 49ers.