Three Tech Catalysts Lining Up Before the Bell This Week

One AI cybersecurity name has lost more than half its value, and Wall Street is treating it like radioactive waste. But the thing that crushed it? Same thing that could spark the rebound. Plus two more setups worth watching into this week's earnings parade.

June 09, 2026

Apple's WWDC just kicked off in Cupertino. Adobe reports Thursday. And a battered AI cyber name is sitting near a 52-week low with a clear catalyst on deck.

Here's where I'd be positioning right now, before the next leg of the tech tape sorts itself out.

AI Shift (Sponsored)

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Data Centers

AI Giants Are Turning To Intel As Chip Demand Explodes

Intel (NASDAQ: INTC) could be on the verge of one of its biggest technology victories in years.

According to a report, Google has placed an order for more than three million in-house AI tensor processing units to be manufactured by Intel in 2028, while Nvidia is also evaluating Intel's manufacturing technology for future AI processors.

If confirmed, the deals would represent a major boost for Intel Foundry and signal growing confidence in the company's turnaround strategy.

AI Supply Chains Start To Diversify

For years, the world's most advanced AI chips have relied heavily on Taiwan's TSMC, creating a manufacturing bottleneck as demand continues to surge.

Technology companies are now looking for additional capacity, and Intel is positioning itself as a large-scale alternative for next-generation AI hardware.

Google's custom TPUs already power many of its AI services, while Nvidia remains the dominant supplier of AI accelerators across the industry.

Chip Manufacturing Race Enters A New Phase

Artificial intelligence is no longer only about designing better chips.

Manufacturing them has become just as strategically important. Intel has spent the past two years rebuilding its foundry business, investing heavily in advanced process technology and domestic production capacity.

The AI boom is creating winners far beyond software. Intel is making a serious case that the next chapter could be written as much inside its factories as inside its processors.

Cloud Infrastructure

Amazon Makes A Multi-Billion Dollar Bet On Data Center Connectivity

Amazon (NASDAQ: AMZN) has signed a multi-billion-dollar partnership with Corning to expand U.S. production of optical fiber and connectivity products, adding another major piece to its rapidly growing AI infrastructure strategy.

Fiber optics may not attract the same attention as AI chips.

Still, every large language model, cloud service, and data center depends on moving enormous amounts of information between thousands of processors at incredible speeds. Amazon is investing directly in that foundation.

Building AI at scale requires far more than powerful GPUs. It requires the networks connecting them.

Data Centers Need Faster Highways

Modern AI clusters exchange massive volumes of data every second, making optical connectivity one of the industry's fastest-growing technologies.

Corning has already announced plans to increase U.S. optical connectivity manufacturing tenfold and boost domestic fiber production by more than 50%.

The new partnership will also create 1,000 jobs and expand specialized fiber-optic training programs to meet future demand.

Amazon is strengthening a supply chain that has quietly become just as important as semiconductor manufacturing.

Infrastructure Race Keeps Accelerating

Technology giants are spending hundreds of billions of dollars building the next generation of AI infrastructure.

Chips, networking equipment, fiber optics, power systems, and cloud architecture are all becoming strategic assets in the race for AI leadership.

Amazon's latest move shows the company is thinking beyond software and cloud services.

Owning the digital highways that connect AI systems could become just as valuable as owning the intelligence running on top of them.

Big Opportunity (Sponsored)

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Robotaxis

Alphabet Expands Waymo's Robotaxi Testing Empire

Alphabet's (NASDAQ: GOOGL) Waymo has acquired a 5,500-acre autonomous vehicle proving ground in Arizona for $220 million, picking up a facility previously tied to Apple's abandoned self-driving car project.

The site includes a city course, a vehicle dynamics area, a four-mile oval track, a freeway course, and multiple testing environments designed for autonomous driving.

For Waymo, the purchase adds a major closed-course testing asset at a time when robotaxi expansion is accelerating, and real-world edge cases are becoming harder to ignore.

Controlled Testing Becomes More Important

Robotaxis cannot scale on public roads alone. Waymo needs places where it can recreate messy driving conditions without putting riders, pedestrians, or city traffic in the middle of every test.

Construction zones, freeway merges, heat, rider-only testing, operational training, and motion control work all become easier to run repeatedly inside a dedicated facility.

Arizona also matters because Waymo already has deep roots in Phoenix and Maricopa County. The company began testing in the region years ago and later turned it into its first commercial robotaxi market.

Expansion Push Gets More Serious

Waymo is growing from a limited robotaxi service into a much larger transportation network. The company now operates in more than 10 U.S. cities and is preparing to scale fleets with vehicles from Zeekr and Hyundai.

A larger test site gives Waymo more room to validate its software before deploying new vehicles and routes in public service.

Self-driving cars still face a simple problem. They need to handle the weird stuff, not just the easy roads.

Waymo's purchase of Apple's former proving ground shows how much work remains before robotaxis can truly go mainstream.

Trivia: Meta Platforms had one of the most disastrous IPO launches in tech history — its stock cratered from the opening price. What was Meta's (then Facebook) IPO price per share in 2012?

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Recent Tech Movers

Innodata (NASDAQ: INOD)

Riding the Data-Engineering Wave for AI Training

INOD has been one of the cleanest pure-plays on AI data prep, and the stock has reflected it. Shares trade around $102.79, with a market cap of roughly $3.66 billion.

Management raised full-year 2026 revenue growth guidance to approximately 40% or more, up from its prior target of about 35% or more, after Q1 revenue climbed 54% year over year to $90.1 million.

The strongest part of the update was customer expansion. Revenue from other Big Tech customers, in aggregate, grew 453% year over year in Q1.

Innodata also announced new engagements with one of the world’s leading Big Tech companies, which is expected to generate approximately $51 million in 2026 revenue, up from zero with that customer 12 months ago.

Management expects that account to become its second-largest customer this year.

Action: If you missed the initial breakout, wait for a pullback toward the $85 to $90 zone before adding.

The next catalyst is Q2 earnings, where any further expansion of Big Tech or hyperscaler demand could extend the move.

Risk: Customer concentration is real. When a handful of clients drive most of the revenue, any one of them trimming spend can dent the growth story in a single quarter.

The other risk is valuation. After a massive run, INOD needs continued revenue acceleration and customer diversification to justify the premium.

MaxLinear (NASDAQ: MXL)

Optical Interconnects Finally Hitting their Stride

MXL has turned into one of the more explosive AI infrastructure side plays of 2026. Shares trade around $79.27, with a market cap of roughly $7.10 billion, after a massive run over the past year.

The move has been backed by improving fundamentals: Q1 revenue grew 43% year over year to $137.2 million, while the infrastructure segment, driven largely by optical data center products, grew 136% year over year and became the company’s largest end market.

CEO Kishore Seendripu framed Q1 as the beginning of a multi-year growth phase as hyperscale cloud companies adopt MaxLinear products for AI infrastructure.

Q2 guidance points to $160 million to $170 million in revenue, or $165 million at the midpoint, which would represent roughly 20% sequential growth if the company hits it.

Action: Optical interconnects are becoming a key bottleneck for AI data center buildouts. With Q2 earnings likely due in early August, MXL could remain a high-momentum watch if demand commentary stays strong.

For investors who missed the initial move, a starter position may make more sense on a sector-driven dip rather than chasing after a 500%+ one-year rally.

Risk: This is a high-beta semiconductor name with no GAAP P/E ratio, which means it can get hit harder than the market in any tech selloff.

After a huge run, MXL also needs continued execution, strong Q2 guidance, and sustained optical data center demand to justify the premium.

IREN Limited (NASDAQ: IREN)

The Neocloud Nvidia Signed a $3.4 billion Deal With

IREN has quickly become one of the most visible neocloud infrastructure names in the AI trade. Shares trade around $59.19, with a market cap of roughly $21.15 billion, after a massive run over the past year.

The company has already locked in a five-year, $3.4 billion AI cloud services contract with Nvidia, supported by air-cooled Blackwell systems deployed at its Childress, Texas campus.

The bigger story is that Nvidia is not just a customer.

The two companies also announced a broader strategic partnership to support the deployment of up to 5 gigawatts of AI infrastructure across IREN’s global data center pipeline over time.

IREN has guided toward approximately $3.7 billion in contracted annual recurring revenue by year-end 2026, with the Nvidia agreement giving investors a much clearer proof point that its AI infrastructure pivot is gaining traction.

Action: Energized megawatts equal contracted revenue potential.

Watch the next operational update for site energization milestones through Q3, especially around Childress deployment progress and any updates tied to the broader 5-gigawatt pipeline.

Any new hyperscaler contract or additional Nvidia-linked expansion could push shares into a fresh range.

Risk: The 133.87 P/E ratio tells you everything. This is a high-expectation stock that now moves with crypto sentiment, AI capex sentiment, data center power availability, and electricity policy headlines, often all at once.

After a 470%+ one-year rally, even a small delay in energization, customer deployment, or GPU rollout could trigger a sharp reset.

Quiet Launch (Sponsored)

While the rest of the market goes crazy for "the mother of all IPOs", a new Elon Musk innovation is quietly being rolled out nationwide.

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The AI Search Stock the Market May Be Mispricing

Elastic (NYSE: ESTC)

Why the selloff may have gone too far

Elastic trades around $62.14, with a market cap of roughly $6.6 billion.

The stock is not being treated like an AI winner right now, even though the company sits in one of the most important layers of the AI stack: search, data retrieval, observability, and security analytics.

That disconnect is the opportunity. Elastic just reported Q4 revenue of $451 million, up 16% year over year, and full-year fiscal 2026 revenue of $1.739 billion, up 17% year over year.

This is not hypergrowth, but it is durable enterprise software growth in a market where investors are suddenly paying attention to companies that can help AI systems find, structure, and act on data.

The market has been focused on slowing growth and software multiple compression. That makes sense. But Elastic is not just another cloud software name.

Its core search technology becomes more valuable as companies build AI applications that need real-time retrieval, vector search, log analysis, and security context.

AI models are only as useful as the data they can access, and Elastic is built around making messy enterprise data searchable and usable.

The catalyst that could flip the script

The near-term catalyst is management’s fiscal 2027 outlook and early proof that AI-related search demand is translating into larger enterprise deals.

Elastic does not need to suddenly become an Nvidia-style AI story. It only needs investors to start viewing it as a core AI infrastructure software layer rather than a slow-growth search company.

The cleaner setup is simple: if revenue growth stabilizes in the mid-teens, cloud adoption continues, and management shows stronger traction around AI search use cases, the stock could earn a better multiple.

At roughly a $6.6 billion market cap, that re-rating does not need to be dramatic to matter.

Action: Buy the weakness. Elastic is being priced like a sleepy software name, but AI search and enterprise data retrieval should matter more over the next 12 months.

I’d use pullbacks to build a position before the market fully connects that dots.

Risk: The risk is execution. If AI search demand does not show up in faster cloud growth or stronger guidance, ESTC stays trapped in the low-growth software bucket.

Everything Else

  • 💰 Seven buy and hold forever stocks with decades of uninterrupted payouts are named in a free report including one with 61 consecutive years.

  • 🔋 BYD thinks China’s auto market is heading electric fast, with EVs potentially reaching 80% of sales sooner than expected.

  • 🚢 China’s trade data is flashing fresh pressure as exports and imports run into geopolitical turbulence.

  • 🤖 OpenAI has reportedly filed for a U.S. IPO, adding another heavyweight to the AI listings pipeline.

  • 🧾 SpaceX is turning the IPO process upside down, forcing Wall Street to rethink the usual public-market playbook. 

That's our coverage for today; thanks for reading! Reply to this email with feedback or any tech stocks you want me to check out.

Best Regards,
—Noah Zelvis
Tech Stock Insider