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This Software Stock Is Quietly Eating the Restaurant Industry One Order at a Time
One restaurant tech platform keeps stacking software and payments revenue as dining goes digital.
Noah Zelvis
March 13, 2026
Restaurants are one of the messiest businesses on earth.
Orders come flying in from the counter, the app, the kiosk, delivery platforms, and whatever manager still swears by a paper notepad.
The winners in restaurant tech are not the ones with the flashiest demo. They are the ones that make the whole machine run with fewer mistakes and more payment volume.
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Industrial Computing
Intel Wants AI Running On Machines, Not Just In The Cloud
Intel (NASDAQ: INTC) launched its Core Series 2 processors for industrial applications at Embedded World in Nuremberg, alongside an early look at its Health and Life Sciences Edge AI suite.
The new chips are designed for environments where consistent, real-time responses are critical — factories, robotics systems, and patient monitoring setups.
Each processor packs up to 12 performance cores and is built for deterministic workloads where timing cannot slip.
Intel is pairing these with its Core Ultra Series 3 chips, which handle AI inference tasks separately, creating a two-chip architecture that splits control and intelligence.
Healthcare Gets Its Own AI Toolkit
Intel's healthcare suite enables device makers to build AI-powered tools for heart rhythm analysis, contactless vital sign monitoring, and 3D patient tracking, with built-in anonymity.
The goal is to move AI processing to the device itself rather than routing sensitive health data to the cloud.
This is edge AI in its most practical form — bringing compute directly to the point of care.
Intel is targeting device manufacturers who want to embed intelligence without adding cloud dependency or latency.
Intel Needs Edge AI To Work
Intel is competing directly with AMD's embedded Ryzen chips and Nvidia's Jetson AGX Orin in robotics and industrial AI.
Winning at the edge would give Intel a revenue stream that does not depend on the data center race it is currently losing.
AI Models
Meta's AI Ambitions Hit A Speed Bump Called Performance
Meta Platforms (NASDAQ: META) has pushed the release of its next AI model, internally called Avocado, from March to at least May or June.
The delay is reportedly due to the model underperforming rivals' latest offerings, with current benchmarks landing between Google's Gemini 2.5 and Gemini 3.
The company has been working on Avocado for months, but the performance gap with top competitors has pushed the development timeline further.
Meta has signaled it plans to release multiple models throughout the year and improve rapidly, but the initial launch window has slipped.
The Spending Does Not Match The Output Yet
Meta laid out capital spending plans of up to $135 billion for 2026 in pursuit of what it calls superintelligence.
The company is also building its own custom chips and has signed massive infrastructure deals, including a $100 billion chip agreement with AMD.
But none of that investment has yet produced a frontier-class model.
The gap between spending and results is becoming harder to ignore as Google, OpenAI, and Anthropic continue pushing their own models forward.
Licensing A Rival's Model Is On The Table
The most telling detail is that Meta's AI leadership has reportedly discussed temporarily licensing Google's Gemini to power its own AI products.
Meta is not short on ambition or capital. What it needs now is a model that justifies the billions already committed — and Avocado is not there yet.
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Supercomputing
IBM Just Published The Playbook For Quantum-Centric Computing
IBM (NYSE: IBM) has revealed the industry's first published reference architecture for quantum-centric supercomputing.
The blueprint outlines how quantum processors can work alongside GPUs and CPUs across on-premises systems, research centers, and the cloud, forming a single unified computing environment.
The architecture combines quantum hardware with classical infrastructure, including CPU and GPU clusters, high-speed networking, and shared storage.
The Science Is Already Proving It Out
IBM is not pitching theory here — real research teams are already delivering results on this architecture.
Researchers created a first-of-its-kind half-Möbius molecule verified by quantum-centric supercomputing, and the Cleveland Clinic simulated a 303-atom mini-protein, one of the largest molecular models ever run on a quantum system.
RIKEN and IBM scientists ran one of the largest quantum simulations of iron-sulfur clusters by linking an IBM Quantum Heron processor with all 152,064 compute nodes of RIKEN's Fugaku supercomputer.
These are not benchmarks — they are real scientific breakthroughs in chemistry and materials science.
IBM Is Building The Foundation Layer
Quantum computing has long been stuck in the experimental phase for most organizations.
IBM's architecture is designed to change that by making quantum resources accessible through the same orchestration layers that already run classical supercomputing workloads.
As new quantum algorithms emerge, IBM expects this architecture to scale across its global ecosystem of clients and partners.
The company is betting that whoever defines the integration layer between quantum and classical computing will own the next era of scientific computing.
Trivia: What was the average price of a gallon of gasoline in the United States in 1970? |
Recent Tech Movers
Duolingo (NASDAQ: DUOL)
The Owl Picked Users Over Margins
Duolingo just gave investors the classic growth-stock headache: management chose faster user growth over near-term bookings and profitability, and the stock got smacked for it.
The company said first-quarter and full-year 2026 bookings would come in below expectations as it broadens access to AI features like Video Call with Lily and pushes more AI tools to free users, even though that should help engagement over time.
The bull case is still pretty easy to understand. If Duolingo can turn AI from a premium novelty into a stronger daily habit, it may grow the funnel first and monetize later.
The risk is that investors do not always enjoy delayed gratification.
Builders may want to watch for stabilization after the post-guidance selloff, while traders should expect this name to keep moving like it had too much espresso.
Roku (NASDAQ: ROKU)
Streaming Ads Are Finally Paying Rent
Roku’s latest story is less about gadgets and more about monetization.
Reuters reported that Roku forecast 2026 revenue above estimates, driven by its platform business, especially digital advertising and content distribution, while CEO Anthony Wood said the company is on track to surpass 100 million streaming households this year.
That is the clean setup for retail readers: more ad-supported streaming, more connected-TV viewing, and a bigger household base means more chances to turn eyeballs into dollars.
The stock can still swing with ad-market sentiment, but if the broader shift from linear TV to streaming keeps going, Roku stays in a decent lane.
Builders may prefer buying on weak days rather than chasing a pop after upbeat guidance.
Unity Software (NYSE: U)
The Game Engine Got Hit by the AI Bus
Unity is still trying to prove it can be more than the software everyone uses but nobody wants to own.
Reuters reported in late January that game stocks, including Unity, sold off after Google unveiled an AI model that can turn prompts into playable digital worlds, and then Reuters reported on February 11 that Unity shares fell nearly 30% after the company forecast first-quarter revenue below expectations.
That leaves Unity in an awkward but interesting spot.
The long-term demand for real-time 3D tools is still real, but the market now wants proof that Unity can navigate both slower software demand and AI disruption without getting flattened.
This is more of a tactical watchlist name than a sleepy compounder right now.
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The Long Pick
Toast (NYSE: TOST)
Why This Name Works
Toast is building the operating system for restaurants.
It combines software, payments, restaurant-grade hardware, and financial technology tools into one platform designed for the entire restaurant community.
In plain English, it wants to be the thing restaurant owners use to take orders, process payments, manage staff, market to customers, and generally survive a Friday night rush without crying in the walk-in fridge.
The part that makes the story interesting is the double-engine model.
Toast gets subscription-style software revenue, but it also benefits when more payment volume runs through the system.
That gives it a nice mix of sticky workflow software and transaction-linked upside.
A recent industry writeup said Toast’s December-quarter gross payment volume rose 22% year over year to $51.4 billion, total locations reached 164,000, and net income climbed to $101 million, more than triple the year-ago level.
Scorecard You Can Use
Vertical focus helps: Restaurants are chaotic enough that a purpose-built platform has a real edge. Toast is explicitly built for restaurant workflows across service models.
More volume, more upside: Higher gross payment volume can boost fintech revenue as customers generate more sales through the platform.
Sticky platform behavior: Once a restaurant runs front-of-house, back-of-house, and payments through one stack, switching gets painful. That is an inference from the breadth of Toast’s integrated platform.
Why The Market Cares
The market likes software stories, but it really likes software stories that also skim activity from the real world. Toast is not betting on some far-off AI dream.
It is tied to restaurants still digitizing, operators trying to squeeze more efficiency out of labor and ordering, and payment volume continuing to scale.
That is a much easier story for investors to hang onto when markets get choppy.
This paragraph includes an inference based on Toast’s platform scope and reported payment-volume growth.
What Could Spook It
Restaurants are cyclical, margins are thin, and consumer spending can wobble fast.
If traffic softens or independent operators start pinching pennies, transaction-linked revenue can feel it.
Competition also stays fierce in restaurant tech, which means Toast still has to keep execution clean.
This is an inference based on Toast’s restaurant exposure and business model.
What To Watch Next
Keep an eye on location growth, payment volume, and whether software adoption deepens across the customer base.
The more Toast becomes the default operating layer rather than just the cash register, the better the long-term story looks.
That is an inference grounded in Toast’s integrated product set and recent payment-volume/location growth.
Actionable Take
Builders may want to treat this as a real-world software compounder and add on market weakness rather than chase strength.
Traders should respect that consumer and restaurant sentiment can move the stock even when the core platform story stays healthy.
That is an inference based on Toast’s hybrid software-plus-payments model and restaurant exposure.
Bottom Line:
Toast is one of the cleaner ways to play vertical software without relying on pure enterprise IT budgets.
It gets paid when restaurants modernize, and it gets paid again when diners keep ordering.
Everything Else
🪖 Anthropic is suing over a Pentagon blacklist fight, because AI policy now apparently comes with courtroom DLC.
🖥️ HPE just posted a stronger forecast, which is Wall Street’s favorite way of saying the server room still has a pulse.
🏗️ Oracle is building debt-fueled data centers, a strategy that sounds bold right up until interest rates start making eye contact.
🔐 OpenAI is circling agent security, because once your bots start doing real work, you also need them to stop doing crimes.
💸 Nvidia-backed Nscale just raised $2 billion, which is another reminder that AI infrastructure is still where the giant checks keep landing.
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