The Best Buy the Dip Stock Opportunities Coming Soon?

Stock market analysts might be divided about where the US stock market will be by year end 2026.

If you review the stock market forecast for 2026/2027 and for the next 5 years, you might feel optimism – that the worst is just about all in the rear-view mirror. Yet, we have inflation, high interest rates and a war to contend with. It’s a volatile mix. Tom Lee is maintaining his forecast for a 7700 S&P 500 reading by year end. One other firms predicts 8000.

Yet some analysts believe stocks are over-priced and not sustainable.  So even with good earnings reports, there are questions about the value of stock investments going forward. The indexes are at record highs, so a bearish view might be wise?

For many institutional and retail self-directed investors, this uncertainty generates price volatility (VIX).  Smart institutional investors play this like a fiddle, and eat small investors for lunch.  Small investors need to dig to make volatility on an upward trend work for them too — finding ideal points to buy and then sell.

If you believe this is where we’re headed, then some stocks benefited by AI must be on your buy list.




A Post War Euphoria?

If you’re a risk-on investor, you might be looking for more speculative stocks even as the S&P 500, NASDAQ, Dow Jones and Russell 2000 are hitting all time highs. Because something historic is happening, driven by a variety of accelerants.

War headlines are giving life to volatility trading or swing trading strategies. Some might say the Iran war is over and Trump has won, yet the threat continues which subdues in the global economy. Given the indexes are hitting all time highs, institutional and retail investors might have moved beyond it. Not likely though, given the drop in stock prices the last 5 days.  Lot’s of uncertainty which feeds into volatility that you can leverage. In fact, if the trend is upward, then volatility can be the icing on your cake.

The straight of Hormuz may be the final battleground, one that creates a one or two quarter dip in investor confidence, before an expected optimistic explosion if the US wins. That’s a buy the dip opportunity. It’s likely a small dip before we see a massive further climb upward.

What do you see in the graphic below, showing the last 5 years for the indexes? Lots of dips to exploit and more likely will be coming.

Stock Market last 5 years.
Stock Market last 5 years. Screenshot courtesy of Google Finance.

AI Stocks Might Be The Best?

This post focuses in on the best AI stocks to buy, because there is a phenomenon I’ll explain here that makes AI stocks particularly valuable. My belief is that certain AI stocks will get powered up more than others will.

AI investment is expected to drive roughly 40% of S&P 500 earnings growth this year, with the largest cloud computing companies planning to spend an estimated $670 billion in 2026 — Goldman Sachs

Should the above war victory scenario play out, it not only could free up the globes key oil supply with lower prices predicted by the IEA. It also means President Trump’s economic agenda is free to move forward, with the US benefiting greatly from tax cuts, deregulation, its energy superpower status and a new economic era where business is reinvented by artificial intelligence. It’s the 4th industrial revolution and it’s underappreciated. It’s influence in industry, business, retail, health care, education will be unprecedented.

The point of this specific investment article, is that AI infrastructure has costs and regulatory roadblocks, which in turn, makes some established companies extremely valuable – those that have current contracts, data centers and the capacity for AI and high performance computing.  The demand for all of that will grow this year and next.   These companies may win new key contracts, or enjoy an oligopoly status, or at least possess a good strong moat to force big enterprise AI system users (e.g., hyperscalers) to come to them.

The biggest AI companies and enterprises (e.g., Oracle, Microsoft, META, Google, Amazon, OpenAI, Claude AI), also need additional AI infrastructure and energy, because AI is very hungry for electricity and computing power (HPC). Some say it will take new nuclear power stations to deliver it.  In the meantime, they will look to the small AI infrastructure energy companies to fill current shortfalls.

What’s This Next Opportunity All About?

This is the dawn of the new AI driven 4th industrial revolution, and it’s driving the stock market.  Ai stocks are hot, and the revived economy with cheaper energy means AI will be able to flourish. Multiple drivers will lift stock prices which we’ll discuss below.




Rising geopolitical tension in the Middle East, persistent inflation pressure tied to energy, and the fragility of global supply chains are setting up a familiar chain reaction:

  • Oil volatility spikes
  • Transportation and manufacturing costs rise
  • Corporate margins compress
  • Institutional investors reduce their risk exposure
  • High-beta sectors—especially speculative AI plays—get sold aggressively

So AI stocks are being devalued as we speak, after a good upward run. This up and down is our profit opportunity.  In this graphic, you can see the sudden drop this week. How far will this deepen, before the snap back?

Ai Infrastructure Stocks dipping in Price.
Ai Infrastructure Stocks dipping in Price. Screenshot courtesy of Google Finance.

AI Energy Infrastructure Stocks: Key Ingredient to the Revolution

And right now, one of the most misunderstood and mispriced segments sitting in investors crosshairs is AI energy infrastructure. It’s strong already, but there is an additional wealth of funds that might flow into it.  And when war headline events happen, money actually rushes back out (that’s your dip). It looks like President Trump will need to bomb Iran to finally get rid of the terrorist regime. It comes at a point this week in late April, where enthusiasm is a little flat with investors in a holding pattern.

But with some AI stocks I’ll introduce you to below, volatility is a regular feature which can capitalize on.

A change of 20% happening 5 times a year for instance, is no laughing matter, when investing $50,000+. For example, recently, I capitalized on one Ai infrastructure stock over the period of a couple of weeks, for a 50+% return. Call it volatility trading, swing trading or speculation, it’s the consistency of inconstancy that makes it investible.

What goes down must come back up, and you’re capitalizing on other investor’s shortsightedness and fear. They’re going to sell their stock at lower than its real value, even if investment analysts say these stocks are overpriced. Fact is, they’ve blown away analysts fearful outlooks. AI is in and its massive.

As you’ll see with any of the best stocks to buy, their price goes up and down frequently, sometimes on cue, with a 5% to 60% variation in a short period, in only days. That has investors foaming at the mouth to get in on one of these volatility plays, where the price swings back up.

Expertise in Reading the Signals

You’ll need to read signals about when a stock will drop (such as the whole sector is falling), hold it, then look for signals to sell (after it recovers well beyond its former price). This is because the stock market is still on a bull market run, lifting most stocks listed on the exchanges. It’s almost certain we’ll see new records throughout 2026 and into 2027.

Beware of the “dead cat bounce” where some exuberant investors jump the price up for a brief time, only to see it fall back to where most investors see its real value. Keep up on company news/announcements as they can support a negative/positive view of the company which tilts the price (e.g., CEO selling shares, plans to expand with new debt, or delays in production).

In this graphic, we see 10 AI infrastructure stocks as our example. You’ll note that most follow the same up and down price pattern, suggesting macro factors are the key price mover. The top stock in that chart, Lumentum Holdings (NASDAQ:LITE) however, broke away from the rest and rose to 1300% of its former value. Astonishing and rare.

Top Ai Infrastructure Topics last 12 months.
Top Ai Infrastructure Topics last 12 months. Screenshot courtesy of Yahoo Finance.

There are other sectors where volatile swings happen, but in this post, let’s focus on AI infrastructure stocks. It’s a good way to learn, and maybe profit?

Why AI Energy Infrastructure Stocks Get Hit First (and Hardest)

Interestingly, when negative headline news and investor sourness hits, AI Energy infrastructures get devalued first, with strong selloffs, even though AI demand is exploding, data centers are expanding and power infrastructure is becoming mission-critical.

In a macro shock, investors don’t sell what’s weak. Instead, they’ll sell what’s liquid, volatile, and profitable to exit.

Small-cap AI infrastructure names (such as the ones listed below) fall in price because of:

  • high volatility which means you can de-risk quickly
  • recent gains since investors want to lock in profits by selling right away
  • uncertain valuation models means some stocks won’t stand up under stress

And when oil prices spike with recession fears creeping in, fund managers don’t concern themselves with long-term AI demand. Instead, they reduce exposure to anything that looks like risk. Add on algorithmic trading responses from institutional investment fund managers, and you might get a big downward slide, perhaps even a recession.

The Current Situation: Energy Shock Meets AI Expansion

There are some interesting factors that support our opportunity:

  • oil prices are staying higher for longer so electricity costs will rise
  • energy availability becomes a strategic constraint
  • new AI infrastructure buildouts face delays or cost pressures
  • markets temporarily question the pace of AI expansion
  • investors review AI company’s profitability and the evaluations

These fears/thoughts lead to investors disconnecting mentally/emotionally from their belief in AI stocks. They’ll look to get out while things are dark and gloomy.

What May Trigger a Potential Stock Market Selloff?

This is where most investors get caught off guard.

The drop may not come from one headline, but instead from a sequence of more signals:

  • Inflation re-acceleration fears (oil supply shock, cost of business rises)
  • Weak corporate earnings guidance
  • Institutional portfolio rebalancing
  • Risk-off sentiment in tech and AI

When these influences happen, you may see fast, aggressive drawdowns driven by large-volume selling, and small caps will likely get hit hardest. Small AI stocks in particular get jettisoned.

Major Influence on Prices: Institutional Sellers

When Institutions and fund managers dump stocks, it hits prices hard and somewhat mysteriously for retail self-managing investors.

Those professional stock managers are systematic.

Large funds reduce equities exposure when:

  • Volatility exceeds risk thresholds
  • Macro uncertainty rises beyond forecast models
  • Liquidity is needed elsewhere
  • Sector rotations begin (e.g., into energy, commodities, or defensive assets)

AI infrastructure stocks—especially small caps—become sources of liquidity. They’ll sell even if the small AI company is doing well.

The Real Opportunity: Buying This Forced Mispricing

AI stock prices are dropping, and this drop could quicken because:

  • Institutions need to reduce exposure
  • Risk models trigger exits
  • Short-term narratives override long-term demand
  • That creates a rare window where
  • AI demand is still accelerating
  • Energy infrastructure is still essential
  • Market sentiment is temporarily negative

Why the Risk Is Worth It

Market stats show most profit/return from investing in stocks in only a few growth periods. To generate better returns, you need to take some risk. And these stocks can generate a big short term boost because they are:

  • Volatile
  • Narrative-driven
  • Capital-intensive
  • Often misunderstood businesses

This opportunity doesn’t necessarily need a macroeconomic shock, but an extended war, high inflation from supply bottlenecks, and higher for longer interest rates can threaten a lot of investors.
Here’s the process that can help you in your swing/volatility trade:

  1. Macro shock → selloff
  2. Fear peaks → valuations compress
  3. Stabilization → oil and inflation normalize
  4. AI demand reasserts itself
  5. Capital flows back into infrastructure plays
  6. Small caps outperform on the rebound

Many stocks have jumped in value over the past 12-month bull market period – up to 6X. Those are life-changing jumps in returns and as more money rotates into small caps, there is more upward pressure.

Not mentioned is the coming rush of funds from the money markets, estimated at 4 to 8 Trillion dollars. As interest rates drop, money flees bonds and treasuries and seeks the better returns in equities.




How AI Energy Infrastructure Stocks Actually Make Money (and Where the Upside Comes From)

And AI infrastructure companies such as the 10 I’ll introduce you to aren’t all about price speculation. They actually have a lot of potential from their services and capacity. These companies are the enablers of AI’s physical expansion. Their revenue is tied to power, compute, cooling, transmission, and grid capacity which are the big problem that’s holding back AI growth and profitability of AI companies.

They all have their perceived weaknesses and their share price suffers when money leaves the AI tech sector. They’re falling right now, which means your ideal buying point may be coming soon.

Here are the 10 best with a Look at How They Make Money

KEEL stock price volatility. Screenshot courtesy of Google Finance.

1. KEEL Infrastructure Corporation (NASDAQ:KEEL): The misunderstood power-demand lever

Revenue source:

  • AI infrastructure development (power + compute integration)
  • Entering the US market after relocation, and is seeing huge increases in revenue
  • Long-term contracts tied to energy-intensive workloads
  • Potential to sign their first major hyperscale or enterprise AI customer

Why is this important?

KEEL sits in a niche that most investors don’t fully understand yet—the direct coupling of energy supply with AI compute demand. If they do sign a major customer in the US, this could rocket their stock price even further, suddenly making them into a name everyone will recognize.

Opportunity:

  • If hyperscalers scramble for power access, companies like KEEL become gatekeepers
  • Valuation upside comes from future contracted demand, not current earnings
  • Risk (and opportunity driver):
    • Lack of clarity → heavy selloffs → deeper mispricing (investors in Keel may be more skittish, thus the bottom might be deeper before the return. But who knows what will happen as the post war light is shone on these top ten stocks to buy.

2. Iris Energy (NASDAQ:IREN): Renewable-powered AI Compute

Revenue source:

High-performance computing (HPC) and AI workloads

• Renewable-powered data centers (hydro-heavy and reliable)

Why it’s important:

IREN’s model flips the narrative about cost. Instead of energy being a cost problem, it becomes a strategic advantage for them.

Their Opportunity:

  • ESG + AI = institutional capital magnet (post-stability)
  • They own long-term contracts for compute capacity
  • Key upside trigger:
    • When markets realize clean energy-backed compute is scarce

3. Applied Digital (NASDAQ:APLD): The AI factory builder

Applied Digital is a well known entity in the sector with these revenue sources:

  • Data center hosting
  • GPU compute leasing
  • Infrastructure-as-a-service for AI companies

This is important because Applied Digital is building what you can think of as “AI production facilities.

Opportunity:

• Explosive demand for AI compute leasing
• Potential hyperscaler partnerships

Why it sells off hard:
• Heavy capex + future-based valuation = vulnerable in macro shocks

4. Lumentum (NASDAQ:LITE): The invisible backbone of AI speed

Lumentum Holdings Stock chart volatility.
Lumentum Holdings Stock chart volatility. Screenshot courtesy of Yahoo Finance.

Revenue source:

  • Optical networking components
  • Photonics used in high-speed data transmission

Lumentum matters because AI scaling means data moving at high bandwidth.

Opportunity:

• Every AI data center expansion increases demand for optical tech
• Critical supplier in the AI arms race

Less obvious upside:

• Maybe overlooked and slower to rise, but when stocks rally strong it catches up fast. Good to save as your last pick, if you’re not too late.

5. American Superconductor (NASDAQ:ASMC): Grid stability in an AI-powered world

Revenue source:

  • Power grid technology
  • Wind + grid resilience systems

This company matters because it optimizes the electrical grid to handle the loads, it barely is able to now.

Opportunity:

• Governments + utilities upgrading infrastructure
• AI indirectly driving grid investment

Asymmetric angle:

• Not seen as “AI” → undervalued relative to impact

6. TeraWulf (NASDAQ:WULF): Energy-intensive compute at scale

Revenue source:

  • Large-scale compute operations tied to power access
  • Transitioning toward AI/HPC workloads

TeraWulf thrives when energy is abundant, cheap, and scalable.

Opportunity:
• Pivot from crypto infrastructure → AI compute
• Leveraging existing energy-heavy assets

Volatility driver:
• Highly sensitive to energy prices and sentiment shifts

7. Vertiv Holdings (NASDAQ:VRT): The picks-and-shovels giant of AI Infrastructure

Revenue source:

  • Data center cooling systems
  • Power management infrastructure

Vertiv solves AI data centers extreme heat and power loads.

Opportunity:
• Every AI facility requires:
– Cooling
– Power distribution
– Backup systems

Why it’s different:
• More stable than others and still benefits from AI capex cycles

8. Powell Industries (NASDAQ:POWL): Industrial electrification for AI expansion

Revenue source:

  • Electrical equipment and systems for industrial clients
  • Infrastructure for large-scale power distribution

Powell Industries is where AI meets real-world industrial power systems.

Opportunity:
• Electrification trend + AI infrastructure growth
• Often tied to large contracts (lumpy but powerful revenue spikes)

9. HIVE Digital Technologies (NASDAQ:HIVE): Compute capacity with optionality

Revenue source:

  • Data center operations
  • GPU compute (AI + legacy crypto exposure)

HIVE is evolving into a flexible compute provider in a demand-constrained market.

Opportunity:
• Ability to pivot workloads based on profitability
• Leveraging existing infrastructure for AI

Investor appeal:
High beta = explosive rebounds after selloffs

10. Hut 8 (NASDAQ:HIVE): Hybrid infrastructure transitioning into AI

Revenue source:

  • Energy-backed compute infrastructure
  • Expanding into AI hosting and services

Why it matters: Hut 8 represents a broader trend where legacy compute infrastructure is being repurposed for AI demand.

Opportunity:
• Strategic repositioning toward AI workloads
• Potential partnerships and re-rating

Ranking these Opportunities: Fastest Rebound vs Highest Ceiling

Tier 1: Fastest Rebound Potential (Institutional Snapback Plays)

These are the names most likely to recover first and fastest once fear subsides.

1. Vertiv

Why #1:
• Deep institutional ownership
• Direct tie to AI data center expansion
• Seen as “essential infrastructure,” not speculative

Stock behavior: Drops with the market, but rebounds quickly as capital rotates back into AI

2. Lumentum

Why this stock is notable:
• Critical optical backbone for AI scaling
• Strong enterprise demand visibility

Stock behavior: Often lags slightly on the way down, then accelerates upward as AI spending resumes

3. Powell Industries

Why this company is notable:
• Industrial contracts + electrification trend
• Less narrative-driven, more fundamentals-based

Stock behavior: Doesn’t crash as hard → rebounds steadily and reliably

4. Applied Digital

Why this could be your best choice:
• High visibility AI infrastructure story
• Strong speculative + institutional overlap

Behavior: Sharp drop → sharp rebound if sentiment flips

Tier 2: Balanced Plays (Strong Rebound + Strong Upside)

These names combine meaningful recovery potential with real long-term expansion upside.

5. Iris Energy

Why IREN could be buyable:
• Renewable energy + AI compute positioning
• Increasing relevance as power becomes constrained

Stock behavior: Slight delay in recovery, then strong momentum as the narrative returns

6. American Superconductor

Why:
• Grid infrastructure becomes a bottleneck story
• Not fully priced into AI narrative yet

Stock Behavior: Slower recognition → but powerful upside once capital rotates in

Tier 3: Highest Ceiling (High Risk, Explosive Upside)

These are the stocks that:
• Get hit the hardest
• Stay down the longest
• But can deliver massive returns if the narrative turns

7. TeraWulf

Why this stock is notable:
• Energy-heavy infrastructure with AI pivot potential
• Extremely sensitive to power economics

Ceiling: Very high if AI compute demand accelerates through energy constraints

8. HIVE Digital Technologies

Why HIVE is enticing:
• Flexible compute model (AI + legacy infrastructure)
• High beta = exaggerated moves
Ceiling: Explosive in risk-on environments

9. Hut 8

Why Hut 8 might be the best choice:
• Transition story into AI infrastructure
• Dependent on execution + partnerships
Ceiling: Large, but requires narrative validation

10. KEEL Infrastructure

Why KEEL is my favorite:

#1 potential for highest ceiling (but #10 overall risk):
• Least understood
• Most speculative
• Most sensitive to sentiment

This Stock’s Price Ceiling?

If proven right → outsized multi-bagger potential
If wrong → prolonged drawdown risk

Looking for the DownSlide

To find the best buying time, look for signals of a slowing economy, war trends, oil price projections, earnings reports, and other signals that suggest the next 6 months look poor.

Dip Signals to Watch (One-Line Checklist)

  • Oil spikes sharply → sustained move higher in crude (Brent/WTI) signals inflation and margin pressure
  • Geopolitical headlines escalate → new conflict developments trigger risk-off selling
  • Bond yields jump → rising 10-year yields signal inflation fear and pressure growth stocks
  • Fed turns more hawkish → language shifts toward “higher for longer” or delayed cuts
  • AI leaders sell off first → weakness in Nvidia or Microsoft often leads broader AI declines
  • Small caps underperform sharply → Russell 2000 drops faster than large caps
  • Sudden volume spikes on down days → institutions actively reducing exposure
  • Negative earnings revisions → analysts cut forecasts for infrastructure, energy, or tech demand
  • Credit spreads widen → signals tightening financing conditions for capital-heavy companies
  • Short interest rises → increasing bearish positioning in high-beta AI infrastructure names
  • Commodity costs rise beyond oil → copper, steel, and energy inputs surge (hurting buildout economics)
  • Delayed or canceled AI/data center projects → early warning of capex slowdown
  • Currency volatility increases → strong USD pressures global liquidity and risk assets
  • Retail panic sentiment spikes → fear-driven selling accelerates late-stage dips

As signals accumulate and intensify and prices have been falling long enough, you might have your entry point. Consider the current investor mood, see what analysts are thinking and saying, and wait for the downtrend to slow.

Looking for the Market Turnaround

After you’ve purchased during the dip, your next move is to wait till the price rebounds.

You should watch for a stack of improving signals and not only one magic news headline.

  1. Oil Stops Rising and Starts Trending Lower
    Brent and WTI fall for several sessions, shipping lanes normalize, tanker backlogs clear, and gasoline futures soften.
  2. Inflation Fear Begins to Fade
    Bond yields fall, breakeven inflation eases, and rate-sensitive tech stocks stop selling off on inflation headlines.
  3. Fed Cut Expectations Improve
    The market shifts from “higher for longer” to “cuts are back on the table.” That is powerful for small-cap growth stocks.
  4. The Trump Tax-Cut Effect Hits Business Sentiment
    Companies talk more confidently about investment, equipment orders, hiring, data center buildouts, and energy infrastructure spending.
  5. AI Capex Headlines Turn Positive Again
    Hyperscalers reaffirm AI spending, announce new data centers, sign power deals, or expand GPU/HPC infrastructure.
  6. Small-Cap Risk Appetite Returns
    Nvidia, Microsoft, Broadcom, AMD, and major data-center names may recover first. The Russell 2000 improves, high-beta tech rallies, short interest eases, and volume rises in names like IREN, KEEL, APLD, WULF, HIVE, HUT, AMSC, and POWL.
  7. Credit Markets Reopen
    Bond spreads narrow, refinancing fears fade, and companies raise capital without their stock collapsing.
  8. Earnings Guidance Stops Getting Cut.

Final Thought on This Amazing Swing Trade Opportunity

Making big money on the stock market means taking risk. Safe plays make for lower returns, especially after the market has hit its peak.

The US economy hasn’t really taken off yet, and many economists talk about AI bringing the 4th industrial revolution. That’s a big thing and a signal that we’re not at the top of the charts yet. If the FED drops the current high rate, it activates even more demand for AI, and open the door for a euphoric buying frenzy.

There are plenty of small caps you could invest in other sectors. AI stocks are only a few of perhaps thousands. Hopefully, this article has given you some ideas to explore more deeply.

Good luck with your investing venture! And remember not to bet the farm. A buy and hold strategy still works here.   The economy and the AI sector must succeed. Everyone has already bet on it.

Read more on market predictions, 3 month outlook and the 5 year outlook before investing.

 * Note: the above article and its information and the authors statements and opinions are for general insights only and not an inducement to invest any particular stock, exchange, or with any investing strategy in mind. Please consult your licensed advisor before investing in equities.

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