Research Report: Apple Inc. (AAPL) 

Leadership transition, AI + Services strategy, what analysts are emphasizing, earnings performance, forward estimates, and key risks (Updated: April 21, 2026) 

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What’s going on with Apple right now—leadership, what’s changing in the business, what analysts are focused on, and what to watch next. Numbers and expectations move fast, so think of this as a snapshot as of April 21, 2026.

The quick take

• A real leadership handoff is coming: John Ternus is set to become CEO on September 1, 2026. Tim Cook transitions to Executive Chairman. Arthur Levinson becomes Lead Independent Director.
• What’s driving the stock narrative: iPhone remains the engine, but Services is the compounding layer underneath (higher margin, stickier, more recurring).
• The big debate: Is Apple’s AI approach “late,” or is it just the only one that can ship at Apple scale without breaking trust, privacy, and product quality?
• What matters most into FY26–FY27: Siri/Apple Intelligence execution, iPhone upgrades (and China), Services durability under regulation, and whether Apple creates another “must-have” product category.

Leadership: who’s in charge and why it matters

The headline: Apple’s CEO succession is no longer theoretical. John Ternus (the longtime hardware engineering leader) takes over onSeptember 1, 2026, while Tim Cook moves into the Executive Chairman role.

Why investors care: This is a signal that Apple is leaning even harder into end-to-end product execution (hardware + silicon + software). Ternus has been at the center of Apple’s core product roadmap, so the market will watch whether this increases Apple’s speed on big bets (AI experiences, new form factors, and new categories).

Other execs people watch closely:

• COO: Sabih Khan (operations/supply chain)
• CFO: Kevan Parekh (capital allocation, margins, buybacks, guidance tone)
• Services: Eddy Cue (App Store, subscriptions, iCloud, Apple Music, etc.)

What Apple is doing that’s actually innovative

Apple Intelligence as distribution, not just a model

Apple’s AI strategy looks less like “one chatbot to rule them all” and more like: ship useful AI inside the OS, inside core apps, across a massive installed base. The bet is that Apple doesn’t need to win every benchmark—it needs to deliver AI that feels native, reliable, and safe enough that people actually use it daily.

What to watch: Siri. If Apple turns Siri into a genuinely helpful agent (the thing that can do multi-step tasks reliably), that’s when the AI story becomes an upgrade story.

Services as the quiet compounding machine

Services is still the “second engine” that many analysts anchor on: recurring revenue, strong margins, and lots of levers (subscriptions, cloud, payments, bundles, App Store economics). Even when hardware has a softer period, Services can stabilize the model.

Apple silicon + vertical integration

Apple’s custom silicon is still one of the most underappreciated strategic assets in tech. It isn’t just about performance—it’s about control of the roadmap and the ability to optimize experiences (including on-device AI) across product lines. SponsoredBREAKING UPDATE: Elon Musk Just Filed the SpaceX IPO

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Earnings: what just happened and what management signaled

Most recently discussed quarter (Fiscal Q1 2026, ended Dec 27, 2025): Apple reported $143.8B in revenue (up 16% year-over-year) and described it as a record quarter, with iPhone and Services both hitting records.

EPS snapshot: Diluted EPS was widely reported at $2.84 (up 19% year-over-year).

Near-term guidance (March quarter / Fiscal Q2 2026): Management pointed to low-to-mid teensrevenue growth year-over-year and 48%–49%gross margin. The margin guide matters because it tells you whether Apple is seeing healthy mix (and cost control), not just revenue volume.

Earnings expectations: how the Street typically frames it

Before the January 29, 2026 earnings release, consensus expectations floating around were roughly $138B of revenue and about $2.67 EPS for the December quarter—Apple came in above that.

What investors usually focus on (beyond EPS):

• iPhone: upgrades + mix (Pro vs. non-Pro) + regional strength
• Services growth rate: is it accelerating, stable, or slowing?
• Gross margin: mix and component costs often show up here first
• Buybacks: Apple’s capital return can meaningfully support EPS even in slower growth periods
• Forward tone: any hints around demand trends or product cycle strength

What analysts are really saying (in plain English)

The bull view: iPhone stays resilient, Services keeps compounding, and Apple Intelligence becomes a new reason to upgrade. In this view, Apple doesn’t need “viral AI,” it needs “embedded AI” that improves daily workflows and locks in the ecosystem even tighter.

The cautious view: the stock already prices in a lot of execution. If iPhone growth normalizes or Services faces margin pressure, Apple can still be a great business—but returns from here may be more muted.

The bear view: regulation forces changes that weaken App Store economics and platform control, while AI feels incremental instead of transformative—so Apple’s growth/margins compress at the same time.

Recent news highlights

• April 20, 2026: Apple announced the CEO transition (Cook → Executive Chairman; Ternus → CEO) effective September 1, 2026.
• Ongoing: U.S. antitrust scrutiny remains a real overhang; outcomes are likely multi-year and can affect platform rules and Services economics.
• Active research attention: As Apple ships more AI features, independent security research is increasingly focused on AI-related attack surfaces (tokens, permissions, prompt/agent behaviors). This is less “headline risk” and more “execution risk”: Apple has to keep AI both useful and safe.

Big risks (the short list)

• Regulatory pressure: changes to App Store rules/payments/interoperability could hit Services leverage.
• AI quality: if Apple Intelligence doesn’t feel meaningfully better over time, upgrade pull-through may disappoint.
• China volatility: demand, competition, and geopolitics can move results.
• Margins: product mix + components can swing gross margin even in strong revenue quarters.
• Leadership handoff: the transition could be smooth—or it could bring reorgs and strategy shifts that take time to settle.

What I’d watch next

• Next earnings: do results track the low-to-mid teens growth outlook and 48%–49% gross margin guide?
• WWDC 2026: do we see a real Siri leap (agent behavior, reliability, integrations), or just incremental polish?
• Services durability: any evidence of take-rate pressure or policy-driven changes.
• Signals from the transition: exec moves, reorganizations, and changes in Apple’s product bet pacing.

This content is for informational purposes only and should not be considered financial advice. Investing involves risk.

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The changing market stew… Inflation numbers are heading higher… The irony of Fed and interest-rate expectations… Kevin Warsh is in Washington… Sentiment changed quickly… Resembling the early days…

War… tariffs… and the ‘next thing’…

In a nearly 40-minute phone conversation broadcast live on CNBC this morning, President Donald Trump answered every question a trio of hosts asked, and then some…

On negotiations with Iran, Trump said the U.S. will “end up with a great deal,” but also “expects to be bombing” Iran if a deal isn’t reached.

Later, after today’s market close, Trump said that he would “extend the Ceasefire” so the “seriously fractured” government of Iran could “come up with a unified proposal” in negotiations, presumably about key subjects like the nation’s nuclear ambitions.

This morning, the president also briefly discussed tariffs and expressed frustration that Uncle Sam is now on the hook for $165 billion in refunds since the Supreme Court ruled his tariff policy illegal earlier this year.

Trump also addressed the “next thing,” as we’ve described it over the past month or so – high(er) inflation (again) – with the war in Iran raising energy prices.

The Cleveland Federal Reserve is now projecting a 3.6% headline inflation rate for April and a roughly 5% rate for the second quarter. The former would be the highest headline monthly number since August 2023.

As our Dr. David “Doc” Eifrig wrote in the latest issue of his Income Intelligencenewsletter…

One hopes the conflict in the Middle East will soon be over. But expect a continued inflationary environment in the months ahead.

The issue is multifold…

While most folks are focused on the price at the gas pump, there are also outstanding questions about future global oil and gas supply.

The last of pre-war Persian Gulf oil has reached its destination, and only a small fraction of what would normally be 20% of global oil supply has moved since.

Even with a “ceasefire” in place, the U.S. will continue a “blockade” of the Strait of Hormuz… while at least part of the Iranian military also maintains it has control of the key passage. Meantime, oil shipments and hundreds of tankers are stalled as part of the battlefield. And emergency reserves aren’t enough to fill the gaps without prices rising.

Plus, Qatar’s critical liquefied natural gas facility, which accounts for at least 20% of global exports, isn’t fully operational (and it likely won’t be for years) because of Iranian attacks.

So we also have to consider what continued higher prices for consumers and producers might mean for the overall economy… Fed policy… and the market.

Speaking of the Fed…

For nearly two years, the market has been expecting a lower-interest-rate environment once current Fed Chair Jerome Powell’s term expires this May.

Ironically, now that Trump’s nominee, Kevin Warsh, is poised to take over, the market isn’t banking on rate cuts anymore… at least not until sometime in 2027 because of the resurgence of war-related inflation.

Trump has publicly criticized Powell for not lowering rates since his 2024 election. So on CNBC this morning, journalist Becky Quick asked the president, “Will you be disappointed if your new Fed Chair, if he gets approved, doesn’t cut rates right away?”

“I would,” Trump said. Though he later added some qualifiers: 1) that he believes interest-rate hikes do help stop inflation, but 2) the U.S. “should have the lowest interest rate in the world.” That last part is an important detail when it comes to his Fed criticism.

In the meantime, Warsh testified today at Capitol Hill ahead of the Congressional vote on his nomination. Among other things, he said he won’t be Trump’s “sock puppet” for policy, as Senator Elizabeth Warren said he would, and that Trump never asked him for assurances that he would lower rates.

Like spring returning, the Fed/White House/Congress gamesmanship begins anew.

Warsh also suggested that there are too many Fed post-policy meeting press conferences. And he also seemed interested in cutting back on the amount of guidance the central bank and its governors give publicly. He said…

Too many Fed officials, past and present, opine in advance about where they think interest rates should be next meeting, next quarter and next year. I think that’s quite unhelpful.

If this indicates there will be less “opining” from the Fed under Warsh, then “reading between the lines” of economic data, politics, and policy (which we try to do here) might become even more valuable. Fed “surprises” could also become more frequent.

That was quick…

During the TV interview this morning, Trump also said he was surprised the stock market didn’t lose more… and that oil prices hadn’t moved higher. That could end up being a warning of sorts…

While market “fear” has dissipated over the past two weeks, and enough investors have been looking past the short-term war risks to deliver a “V shaped” recovery in the indexes, sentiment has also now probably – too quickly – turned to “greed.”

As Ten Stock Trader editor Greg Diamond wrote to his subscribers today…

The war in Iran resulted in extreme fear just a few weeks ago. Now there’s extreme bullishness among investors. Again, all of this is happening in a very short span.

Many hedge funds had to cover shorts and chase this market higher.

Today, we can see an extreme on the other end of the spectrum. Here’s the CBOE equity put/call ratio, which measures the amount of puts versus calls traded on the CBOE exchange.

As Greg points out with the red arrow in the chart above (click here to enlarge), the put/call ratio has dropped to around 0.4. In previous instances, “a low in this ratio almost always marks some type of market top.” The last time it happened was in January. As Greg wrote…

So we’re back near this level again. Investors seem to think the war in Iran will end quickly, similar to what happened last year regarding tariffs. They may be wrong. Also, private-credit stress is building… President Donald Trump is set to meet with Chinese President Xi Jinping to talk trade (again) next month… And the Federal Reserve meeting next week is unlikely to have positive news around oil and inflation constraints.

These are of course the “whys” behind a potential market drawdown. But if we take into account the extreme bullish positioning of calls versus puts shown in the chart above, it’s bad news… The market almost always hurts the most people when everyone is on the same side of the boat.

In this case, a steep decline would do just that.

So, yes, there are opportunities to make long-term investments amid war-related volatility (as we discussed yesterday). But, as we write today, the market may have moved past the associated risks a little too quickly.

If you’re anticipating the short-term surge in U.S. stocks to continue, you may want to temper those expectations.

Today brought some possible early signs of a cooldown as the market resembled the early days of the Iran war.

The major U.S. stock indexes were all lower, with the U.S. benchmark S&P 500 Index down 0.6%, and only the energy sector up significantly. Volatility also picked up with the CBOE Volatility Index around 20. And oil futures gained around 5% as the world waits to see what happens next in the Middle East.

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Elon Musk’s Big $266,000-per-Second Purchase

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New 52-week highs (as of 4/20/26): Arista Networks (ANET), Alpha Architect 1-3 Month Box Fusnd (BOXX), Cisco Systems (CSCO), Emcor (EME), EnerSys (ENS), Hilton Worldwide (HLT), Hubbell (HUBB), iShares Convertible Bond Fund (ICVT), LXP Industrial Trust (LXP), Nucor (NUE), Invesco WilderHill Clean Energy Fund (PBW), Public Storage (PSA), Ryder System (R), Roku (ROKU), Twist Bioscience (TWST), Texas Instruments (TXN), Vale (VALE), and State Street SPDR S&P Semiconductor Fund (XSD).

A quiet mailbag today… What’s on your mind? As always, e-mail us at feedback@stansberryresearch.com.

All the best,

Corey McLaughlin
Baltimore, Maryland
April 21, 2026

Stansberry Research Top 10 Open Recommendations

Top 10 highest-returning open stock positions across all Stansberry Research portfolios. Returns represent the total return from the initial recommendation.InvestmentBuy DateReturnPublicationMSFT
Microsoft11/11/101,380.3%Retirement MillionaireMSFT
Microsoft02/10/121,349.8%Stansberry’s Investment AdvisoryCIEN
Ciena10/20/22810.3%Stansberry Innovations ReportADP
Automatic Data Processing10/09/08787.9%Extreme ValueBRK.B
Berkshire Hathaway04/01/09765.1%Retirement MillionaireGOOGL
Alphabet12/15/16731.6%Retirement MillionaireSII
Sprott01/11/18678.0%Extreme ValueALS-T
Altius Minerals03/26/09671.5%Extreme ValueWRB
W.R. Berkley03/15/12615.1%Stansberry’s Investment AdvisoryLITE
Lumentum04/15/21572.8%Stansberry Innovations Report

Please note: Securities appearing in the Top 10 are not necessarily recommended buys at current prices. The list reflects the best-performing positions currently in the model portfolio of any Stansberry Research publication. The buy date reflects when the editor recommended the investment in the listed publication, and the return shows its performance since that date. To learn if a security is still a recommended buy today, you must be a subscriber to that publication and refer to the most recent portfolio.

Top 10 Totals3Extreme ValueFerris3Retirement MillionaireDoc2Stansberry Innovations ReportEngel2Stansberry’s Investment AdvisoryPorter

Top 5 Crypto Capital Open Recommendations

Top 5 highest-returning open positions in the Crypto Capital model portfolioInvestmentBuy DateReturnPublicationBTC/USD
Bitcoin11/27/181,918.8%Crypto CapitalWSTETH/USD
Wrapped Staked Ethereum12/07/181,873.7%Crypto CapitalONE/USD
Harmony12/16/191,009.5%Crypto CapitalPOL/USD
Polygon02/26/21641.5%Crypto CapitalQRL/USD
Quantum Resistant Ledger01/19/21524.8%Crypto Capital

Please note: Securities appearing in the Top 5 are not necessarily recommended buys at current prices. The list reflects the best-performing positions currently in the Crypto Capital model portfolio. The buy date reflects when the recommendation was made, and the return shows its performance since that date. To learn if it’s still a recommended buy today, you must be a subscriber and refer to the most recent portfolio.

Stansberry Research Hall of Fame

Top 10 all-time, highest-returning closed positions across all Stansberry portfoliosInvestmentDurationGainPublicationNvidia (NVDA)^*5.96 years1,466%Venture Tech.Microsoft (MSFT)^12.74 years1,185%Retirement MillionaireInovio Pharma. (INO)^1.01 years1,139%Venture Tech.Rocket Lab (RKLB)^2.35 years1,034%Venture Tech.Seabridge Gold (SA)^4.20 years995%Sjug Conf.Berkshire Hathaway (BRK-B)^16.13 years800%Retirement MillionaireIntellia Therapeutics (NTLA)1.95 years775%Amer. MoonshotsRite Aid 8.5% bond4.97 years773%True IncomePNC Warrants (PNC-WS)6.16 years706%True Wealth SystemsMaxar Technologies (MAXR)^1.90 years691%Venture Tech.

^ These gains occurred with a partial position in the respective stocks.
* Editor Dave Lashmet closed the first leg of this Nvidia position in November 2016 for a gain of about 108%. Then, he closed the second leg in July 2020 for a 777% return. And finally, in May 2022, he booked a 1,466% return on the final leg. Subscribers who followed his advice on Nvidia could’ve recorded a total weighted average gain of more than 600%.

Stansberry Research Crypto Hall of Fame

Top 5 highest-returning closed positions in the Crypto Capital model portfolioInvestmentDurationGainAnalystBand Protocol (BAND)0.31 years1,169%Crypto CapitalTerra (LUNA)0.41 years1,166%Crypto CapitalPolymesh (POLYX)3.84 years1,157%Crypto CapitalFrontier (FRONT)0.09 years979%Crypto CapitalBinance Coin (BNB)1.78 years963%Crypto Capital

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Editor’s Note: After 21 years, a fintech firm that tracks $29 billion claims to have ‘cracked’ the strategy behind legendary hedge fund Renaissance Technologies, which returned 9,000,000%. If so, that would make this one of the greatest breakthroughs in the history of stock trading. Today, you’re invited to try it…

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The dot-com playbook is back… AI’s gains are going to fewer companies than you think… how to trade when narratives mislead… tomorrow’s AI Signals Trading Event at 10:00 a.m. Eastern

VIEW IN BROWSER

In January 1999, MIS International hadn’t made a dime of profit, and its stock traded below $0.50 per share.

But MIS management was aware of a powerful sentiment shift rippling through the broader business and stock market landscape. It had to do with a new, electrifying phrase…

“Dot Com.”

Younger investors might not recall, but in the late 90s, the term “Dot Com” was magic. It promised vast riches from companies that had found a way to leverage the power of the internet. Virtually any company possessing even the faintest scent of “Dot Com” was investment gold.

MIS realized this and decided to signal to the business world (and Wall Street) that it was now a budding digital economy leader.

And how would it signal this, exactly?

By changing its name to include “Dot Com.” And so, MIS International became Cosmoz.com.

You know where this is going…

How much of a bump do you think the stock enjoyed?

100%…?

300%…?

From less than $0.50 a share, Cosmoz.com – which again, had never turned a dime of profit – soared nearly 1,000% to $5 a share.

Fast forward to 2001 in the wake of the Dot Com meltdown

As analysts and commentators sifted through the wreckage after the Dot Com crash, three Purdue University finance professors published a fascinating takeaway…

They looked at 95 companies that had added “Dot com” or “Internet” to their names during the ‘90s bubble run-up.

What was the impact on the stock prices of these companies in the wake of this branding shift?

On average, they enjoyed a 74% stock price surge.

It didn’t matter whether the “Dot Com” addition accurately reflected the company’s core business operations – the average stock price surged in the wake of the name change. That’s how much investors wanted to be a part of “Dot Com.”

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How history likes to repeat itself

Last week, Allbirds (BIRD) – the sustainable sneaker brand once valued at $4 billion (now trading at a fraction of that) – announced a pivot from shoes to artificial intelligence.

The company will now be called NewBird AI (still with the same ticker “BIRD”), will raise up to $50 million in new funding and will provide GPU-based cloud compute services.

And what did the stock do in the wake of this AI pivot?

It soared 582%… in a day.

Our global macro investing expert Eric Fry, editor of Fry’s Investment Report, reminded his readers that we have seen this movie before.

In his recent analysis, he drew a direct parallel to Algorhythm Holdings (RIME) – formerly The Singing Machine Company, a karaoke machine maker that pivoted to AI logistics in 2024.

The stock surged on the announcement, then logged losses in both 2024 and 2025 (and is flat so far this year).

Here’s Eric drawing the comparison to Allbirds:

Like the hype chasers in the dot-com era, Algorhythm came from a non-tech sector and experienced a valuation spike after announcing a pivot into AI. That spike proved to be short lived.

Allbirds will likely find itself on a similar path.

I’ll note that BIRD has fallen more than 50% from its pivot peak.

Eric’s analysis cuts to the heart of why: there’s a meaningful difference between companies that are “AI Survivors” and “AI Appliers” – businesses whose models genuinely benefit from AI or can outlast it – and companies that are simply chasing a hot narrative.

Allbirds, in his view, falls squarely in the latter camp.

For a contrast, Eric points to Birkenstock (BIRK) – another simple, comfortable shoe brand, but one with genuine competitive advantages.

Here’s Eric:

To plainly state the differences: Birkenstock is a profitable, growing, brand-driven business. 

On the other hand, Allbirds is a shrinking, unprofitable, trend-driven business.

Beyond Birkenstock, Eric recommends a range of AI Survivor and AI Applier companies in his Fry’s Investment Reportportfolio – including a brand of outdoor recreation products, a drive-through coffee shop with a cultlike following, and a king among princes in the drug sector. For the full list, click here to learn more.

Now, looking wider, recent data are beginning to show that simply pivoting to “AI” isn’t the fix-all that C-suite managers – or investors – might think. It turns out, the companies actually capturing AI’s economic gains are a much smaller, more disciplined group than the headlines suggest.

As for everyone else, so far, the evidence is underwhelming…

AI is everywhere…except maybe the data

In 1987, economist Robert Solow made a fascinating observation…

Corporate America had been adopting computers throughout the American workplace for a decade. Productivity growth was supposed to surge.

Instead, as Solow realized, it had slowed.

From Solow:

You can see the computer age everywhere but in the productivity statistics.

That line became known as “Solow’s productivity paradox.” And according to Apollo chief economist Torsten Slok, we may be living through its sequel:

AI is everywhere except in the incoming macroeconomic data.

Today, you don’t see AI in the employment data, productivity data or inflation data. 

Similarly, for the S&P 493, there are no signs of AI in profit margins or earnings expectations.

That’s a startling takeaway, but it’s consistent with results from a new study by the National Bureau of Economic Research.

Among 6,000 CEOs, CFOs, and other executives surveyed across the U.S., U.K., Germany, and Australia, nearly 90% reported that AI has had no impact on employment or productivity over the past three years.

Among those using AI, average weekly usage is roughly 1.5 hours.

That backdrop makes a new global study from PwC released last week even more interesting.

Their AI Performance study – based on 1,217 senior executives across 25 sectors – found that nearly three-quarters of AI’s economic value is being captured by just one-fifth of organizations.

Here’s PwC’s Global Chief AI Officer Joe Atkinson:

Many companies are busy rolling out AI pilots, but only a minority are converting that activity into measurable financial returns. 

The leaders stand out because they point AI at growth, not just cost reduction, and back that ambition with the foundations that make AI scalable and reliable.

The gains are real – they’re just concentrated

These findings echo our March 26 Digestin which we discussed how, even within AI, a new divide is forming.

There’s a split between the “secure elite” – companies at the center of the AI buildout, like chipmakers, data center suppliers, and infrastructure players – and various consumer-facing AI products that may be at risk as newer, more intelligent versions of AI cannibalize older ones.

Outside of the secure elite, the question is whether the lack of ROI is a structural reality or a timing issue.

Fortune laid out the case for the latter back in February, pointing to the IT boom of the 1970s and ’80s. Productivity growth slowed for two decades after computers arrived – but then surged in the 1990s.

Returning to Slok, he sees a similar possibility with AI – what he calls a “J-curve” effect:

Maybe there is a J‑curve effect for AI, where it takes time for AI to show up in the macro data. Maybe not.

Whether there is a J-curve effect depends on the value creation from AI.

There is fierce competition between the builders of large language models (LLMs), which is driving the price of LLMs toward zero for end-users.

In other words, from a macro perspective, the value creation is not the product, but how generative AI is used and implemented in different sectors in the economy.

Stanford’s Erik Brynjolfsson, writing in the Financial Times, noted that fourth-quarter GDP was tracking up 3.7% despite only modest job growth – a pattern he sees as consistent with a productivity surge already underway.

His analysis points to a 2.7% jump in U.S. productivity last year, which he attributes to AI investments beginning to pay off.

So, what does all this mean for us as investors?

It paints a complex picture of some winners, many underperformers, and a varied timeline of returns – certainly a more nuanced take than “Allbirds is now an AI stock! Buy it!”

Bottom line: The J-curve may be real… the AI productivity gains may be coming… but the data show they’re arriving later than the market has been pricing – and they’re going to a much smaller slice of companies than most investors assume.

Which raises a practical question for anyone trying to trade AI stocks in this environment.

A different way to read the market

Given this uneven AI growth story, we need to be especially careful about building trading strategies around AI narratives. But as we’ve been highlighting in the Digest over the past few days, investors have other options.

Our corporate affiliate TradeSmith has been developing an approach that sidesteps the problem entirely. Instead of analyzing what AI does or doesn’t do for a given business, their system looks at each stock’s own historical behavioral patterns.

Here’s TradeSmith CEO Keith Kaplan with how it works:

Every great trade has its own thumbprint. 

In linguistics, it might be a writing style or a phrase. 

In the stock market, it’s a unique combination of data points that, taken together, signal a high-probability trade.

In a live internal beta test, the top 100 signal trades produced an average gain of 2.6% over nine trading days – roughly 7x the S&P 500 over the same stretch. Annualized, that’s the equivalent of a 73% return.

Here’s Keith with a specific example:

One of our beta test trades was on Equifax Inc. (EFX).

Two factors had to align for this signal to fire. The stock had to close down four consecutive days. And market volatility had to rise above its 10-day average. 

When both conditions aligned, the result was a 15.2% gain in seven days — against a 91% historical accuracy rate.

Keith will walk through the system and share far more examples tomorrow at 10 a.m. ET in his AI Signals Trading Event. He’s also opened a beta version of the platform ahead of the event. You can reserve your spot and get access here.

Back to Keith:

This new kind of trading system doesn’t care whether we’re in a bull or a bear market. It doesn’t need a strong economy or a calm geopolitical environment.

It just needs certain factors to align. That’s what makes it so powerful in today’s market.

I’ll walk you through how it works in more detail – including the signals it’s tracking right now and the trades it’s flagging for the weeks ahead – during our AI Signals Trading Event launch tomorrow morning.

Again, you can register right here.

Overall, the throughline from Cosmoz.com to Allbirds to the productivity data is the same story…

Markets move fast on narratives, but the underlying reality often takes longer to arrive – and lands more unevenly – than most investors expect.

Knowing that doesn’t mean avoiding AI. But it means being thoughtful about how you invest in it for the long term and disciplined about how you trade it in the short term.

Have a good evening,

Jeff Remsburg 

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Tuesday, April 21, 2026

Don here…

The NASDAQ just broke out of an 8-month rectangle pattern. Gianni Di Poce says this is a very significant move and we are still early in the rally.

The base measured roughly 3,000 points. A larger base produces a larger move higher, and Gianni is now targeting 29,000 to 30,000 on the NASDAQ in a matter of months.

The Trinity Trade has been cashing in on the exact setups feeding this breakout. Gianni booked 51% gains on Marvell Technology in three weeks and closed AMD calls 170% higher last week.

Technology just hit a new all-time high and reclaimed the top spot as the strongest performing sector on the year.

Here is what Gianni broke down in tonight’s video:

• The NASDAQ built a 3,000-point base over eight months and is now breaking above it, placing this rally in its early innings with 29,000 to 30,000 as the conservative upside target.
• His S&P 500 target sits at 7,700 conservatively, with the index still early in its rally phase and the VIX holding below 20.
• Oil looks positioned for one more washout toward $75 per barrel before marking a tradable bottom in the energy space.
• Bitcoin holding 74,000 to 76,000 opens a path to 82,000 to 86,000, while Ethereum above 23,000 clears the way to 33,000.

Gianni points out that sentiment is still not bullish and the rally is widely hated. That disbelief is exactly why this move has room to run.

His message for traders who missed the initial push is to stay patient and wait for the next individual setup. The Trinity Trade is built to spot them in real time.

Click here to watch Gianni’s full NASDAQ breakout analysis and 2026 upside targets

To your success,

Don Kaufman
Chief Market Strategist, TheoTRADE

In two days I’m going live to show you how I trade the biggest window of the quarter.

Four times a year I stop forcing trades and let the calendar do the work. I call these stretches the Judgment Days, and the next one opens Thursday.

Last window my log printed CRWV +247%, COIN +193%, GOOGL +150%. All one-day holds. In the morning, out by the afternoon.

Thursday at 2pm EST I’m walking you through which days inside this window I’m targeting, how I’m sizing, and the setups I expect to move biggest over the next five weeks.

Miss it and you wait until summer for the next one.

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 Market alerts, actionable tips, and timely insights to fuel your investment success.Top 3 Robotics Stocks to Watch Now– Ad

Automation is transforming every industry. From factories to AI-driven robotics, a few companies are leading the charge. Discover 3 robotics stocks positioned to benefit from the rapid rise of automation. 

See the Top 3 Picks.By clicking the link above you will automatically opt-in to receive emails from TechnicalTrading and agree to Privacy PolicyLabor Secretary Lori Chavez-DeRemer is leaving Trump’s Cabinet after abuse of power allegations

WASHINGTON (AP) — Labor Secretary Lori Chavez-DeRemer is out of President Donald Trump’s Cabinet, the White House said Monday, after multiple allegations of abusing her position’s power, including having an affair with a subordinate and drinking alcohol on the job.  Continue Reading ➔Investing Legend Hints the End May Be Near for These 3 Iconic Stocks – Ad

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Get Top Stocks NowBy clicking the link above you will automatically opt-in to receive emails from TechnicalTrading and agree to Privacy PolicyMiddle East crises divide Europe with rising fuel costs and tensions over Israel policy

LUXEMBOURG (AP) — Buoyed by the election of a new leader in Hungary, Europe’s top diplomats are meeting in Luxembourg to forge plans of action on multiple crises from the ongoing war in Ukraine, Russian hybrid attacks, and economic instability as the war in Iran drives up energy prices worldwide. Continue Reading ➔Trump raises prospect of federal support or merger as Spirit Airlines struggles with costs and debt

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Jim Cramer warns the market rally is too narrow, heavily driven by Micron and memory stocks sitting on an AI storage ‘gold mine.’ Continue Reading ➔Trump Warns China Of ‘Big Problems’ Over Reported Plan To Supply Iran With Anti-Air Missiles

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Julia Holden turned her sleep-deprived struggle as a new mom into a profitable business, with Sleepy Hat bringing in five figures a month. Continue Reading ➔Bitcoin, Ethereum, XRP, Dogecoin Consolidate As Markets Wait For Middle East News

Bitcoin trades around $76,000 as sentiment remained neutral amid hopes of a U.S.-Iran ceasefire extension. Bitcoin ETFs saw $238.4 million in net inflows on Monday, while Ethereum ETFs reported $67.8 million in net inflows.   Continue Reading ➔Congresswoman Bought Bitcoin Dip In March: Here’s How Much Her Trade Was

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The AI Story Is Changing – And So Will the Market Leaders

VIEW IN BROWSER

Over the years, smart investors have learned to pay close attention when NVIDIA Corp. (NVDA) CEO Jensen Huang steps onto a stage.

Much like Steve Jobs in his prime at Apple Inc. (AAPL), Huang has a rare ability to see where technology is headed and explain it in a way that captures the market’s imagination.

And investors who listened – and positioned themselves early – have made fortunes.

That is why I’m surprised that one of Huang’s most remarkable comments from NVIDIA’s recent GTC conference has not received more attention.

In fairness, the timing helps explain it. The headlines have been dominated by rising tensions in the Middle East, especially between the United States and Iran.

But I do not think investors can afford to miss what Huang said.

Because when he described one new software release as “probably the single most important release of software, you know, probably ever,” we should all pay attention.

He was not talking about a better chatbot.

He was pointing to what I believe is the next major phase of the AI Revolution.

I’m talking about AI agents.

In today’s Market 360, I want to explain what AI agents really are, how they emerged so quickly and why they could become far more disruptive than the first phase of the AI boom. Then, we’ll wrap things up by discussing how you can position yourself to profit.

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Billion-dollar tech investor Louis Navellier calls it “AI’s darkest secret.” Until AI models solve the “Strawberry Problem,” they’ll never create new breakthroughs in medicine, energy, or quantum computing. The good news? One company is about to solve the crisis… unleashing a new $100 trillion opportunity. Click here for details.

From Chatbots to Agents

Most people still think of AI as a tool for generating answers. You ask a question. It responds. Maybe it writes an email, summarizes a document, generates an image or helps you clean up a bit of code.

That is the version of AI most people know.

But that is not where this story ends.

The next phase of AI is about agents.

An AI agent is not just a chatbot that gives you an answer. It is a system that can actually carry out tasks. It can follow instructions, handle multi-step assignments, solve problems, write code, test results and keep working toward a goal.

That is a very big leap.

It means AI is moving beyond conversation and into execution.

And this is not some far-off concept that belongs in a science-fiction script. Anthropic publicly rolled out its “computer use” capability in October 2024, allowing Claude to move a cursor, click on-screen locations and type into applications. Then, in July 2025, OpenAI introduced ChatGPT agent, saying it could “think and act” by choosing from a toolbox of skills and using its own computer to complete tasks.

In other words, the groundwork has already been laid.

The chatbot era taught millions of people how to interact with AI through prompts. Then developers began giving these systems tools. Access to browsers, files, software and workflows. Once that happened, it was only a matter of time before AI moved from answering questions to actually doing the work.

This is where OpenClaw enters the picture.

Why OpenClaw Changes Everything

See, OpenClaw is what Jensen Huang specifically referred to at the GTC conference. It’s been all the rage in Silicon Valley, yet I bet nine out of 10 people on the street have no clue about it.

To put it simply, OpenClaw is an open-source project created by Austrian developer Peter Steinberger. It went viral early this year with a simple but powerful pitch: This was the AI that actually does things.

It can write code, manage a calendar, book flights, handle online tasks and work across other systems on a user’s behalf. Think of it like having a digital employee or personal assistant.

The project was an instant hit. In fact, it was so popular with developers that it racked up 150,000+ GitHub stars in 72 hours.

You can see why Huang would be so struck by that. In fact, NVIDIA recently announced it would launch a product called NemoClaw that would add guardrails to OpenClaw and related open-source AI agents to make them safe for business use.

For years, the AI story has been dominated by models that talk better, search better and generate better.

Useful? Absolutely. Revolutionary? In many ways, yes.

But agents are different. Agents do not just sound intelligent. They can become economically useful.

A chatbot might help you draft a memo. An agent could gather the research, organize the notes, draft the first version, schedule the follow-up meeting, pull the relevant files and keep refining the work until it is done.

To put it simply, a chatbot might help you think, but an agent can help you execute.

And once AI begins doing real work, the implications spread far beyond Silicon Valley.

Think about what that means for a small business owner. An agent could handle customer follow-ups, schedule appointments, update records, prepare invoices and track supplies.

Or how about what it means for a family. It could help pay bills, organize travel, manage schedules, renew subscriptions and stay on top of all the little digital chores that eat up time.

Think about what it means inside a large company. Agents could support legal teams, finance departments, software engineers, sales staffs, call centers and back-office operations. They could work around the clock. They could eventually work in teams. And they could allow one skilled employee to become dramatically more productive.

In short, once AI agents are mainstreamed, we’re essentially talking about a full-blown productivity boom on a scale we’ve never seen.

How to Profit From the AI Reset

The first wave of AI changed how we access information.

This next wave could change how work gets done.

Barely a week seems to go by now without some fresh reminder that the market is beginning to understand that.

In February, fears around Anthropic’s Claude Cowork and related AI automation tools helped trigger a broad software selloff.

Bloomberg reported a $285 billion rout across software, financial services and asset-management stocks after Anthropic released new automation capabilities, while Fast Company said updates to Claude Cowork threatened to replace software tools already embedded in professional workflows.

Now, some of the stocks that were affected by that initial panic have recovered. Some haven’t.

But the point is, this is just a preview of things to come.

That matters because the first phase of the AI boom rewarded almost any company with a halfway believable AI story.

And for a while, it worked.

But I do not think that will be good enough in this next phase. Because once AI starts doing real work, investors will begin to ask tougher questions, like:

• Who really benefits as AI agents become more capable?
• Who has the computing power, the infrastructure and the business model to thrive as AI moves beyond conversation and into execution?
• And just as important, which companies are still living off yesterday’s AI story?

That is where this story gets interesting.

Some companies will adapt beautifully and become even more valuable.

On that side of the equation, I’m specifically looking at the chips, platforms and infrastructure that make the whole agent economy possible.

But others will get exposed – like some of the legacy software names, for example.

That is why I have been paying such close attention to this story – and it’s one of the reasons I recently released a new presentation about what I’m calling the AI Reset.

Because if Jensen Huang is right, and AI agents really are the next major phase of the AI Revolution, then the biggest winners of the next cycle may not be the names most investors expect.

And some stocks that look perfectly safe today may not be nearly as safe as Wall Street assumes.

If you want to see where I believe this is headed, and how I recommend positioning before the crowd fully catches on, I encourage you to watch my latest presentation now.

Sincerely,

Louis Navellier
Editor, Market 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

NVIDIA Corporation (NVDA)

Manage your account
We hope this timely investment research is valuable to you. As you know the markets move fast and conditions change frequently. So please check the current issue for the most recent advice. Please note that we cannot be liable for any missed bulletins caused by overzealous filters. To ensure that you continue to receive this valuable part of your service please take a moment to add services@exct.investorplace.comto your address book. 

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FREE Report: The 7 companies that could define 2026

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Florida Is Testing New Alternative Pesticide

This company is moving toward a possible Nasdaq listing – and once that happens, the early window closes.

Before Wall Street prices it in, this company has already generated $6.4M in sales, placed Nature-Cide on Amazon.com, Walmart.com, and Kroger.com, and begun expanding into 41+ global markets.

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What a looming jet fuel shortage could mean for summer travel

Some airlines have already said they would cut flight schedules amid rising jet fuel prices, and experts say further reductions would be likely if supplies dwindle.

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