AI STOCKS RADAR An AI stocks list for the full stack.
Every standalone ticker starts with a real investor question, then maps the operating drivers, failure points, scenarios, and price-confirmation framework.
74 stocks monitored
Use these pages as research starting points—not fixed ratings or promises. Each forecast is conditional on fundamentals, price structure, and risk.
Tempus AI
TEM needs to show that its expanding data asset converts into durable diagnostics and software economics.
SoundHound AI
SOUN is best judged by recurring usage and deployment scale rather than announced partnerships alone.
C3.ai
AI is a consumption-and-conversion story: pilots have to become expanding production workloads.
NVIDIA
NVDA often acts as the market’s clearest read on demand for large-scale AI compute.
Rezolve AI
RZLV needs signed distribution relationships to translate into verifiable merchant usage and recurring revenue.
Pony AI
PONY is a commercialisation and regulation story where fleet utilisation must validate technical progress.
Datavault AI
DVLT is a highly speculative execution case where reported revenue and financing terms must confirm the narrative.
SES AI
SES combines a long-duration battery programme with an emerging AI platform, so milestones and funding are central.
Amazon
For AMZN, the AI signal is usually clearest in AWS consumption and infrastructure investment.
Advanced Micro Devices
AMD’s AI case rests on accelerator adoption alongside continued server CPU share gains.
Micron Technology
MU offers a cyclical way to track whether AI servers are tightening advanced-memory supply.
Palantir Technologies
PLTR’s setup depends on whether AI pilots convert into durable, expanding production contracts.
Microsoft
MSFT connects AI infrastructure demand with the harder question of enterprise software monetisation.
Meta Platforms
META’s AI thesis is strongest when higher infrastructure spend produces measurable engagement and ad efficiency.
Oracle
ORCL is a capacity-and-backlog story: demand matters only when new AI cloud supply comes online efficiently.
Applied Digital
APLD is driven by financing, construction, and tenant delivery—contracted megawatts must become operating cash flow.
Broadcom
AVGO gives the watchlist exposure to custom AI silicon and the networks connecting large compute clusters.
Nebius Group
NBIS is a focused but execution-heavy AI cloud story where capacity utilisation is central.
Kodiak AI
KDK is a deployment story where safe driverless miles and customer economics matter more than demonstration mileage.
IREN
IREN’s rerating depends on proving that available power and sites can support contracted, financeable AI capacity.
BigBear.ai Holdings
BBAI is a contract-conversion story where backlog quality and delivery discipline matter more than the AI label alone.
Airship AI
AISP depends on converting a lumpy public-sector pipeline into repeatable software and appliance revenue.
Palladyne AI
PDYN must move from development agreements to repeatable product revenue while preserving its cash runway.
Taiwan Semiconductor Manufacturing
TSM is a broad supply-chain read on advanced-node demand rather than a bet on one chip designer.
Super Micro Computer
SMCI can respond quickly to AI server cycles, but execution quality matters as much as headline demand.
CoreWeave
CRWV offers direct AI compute exposure with unusually high sensitivity to utilisation, financing, and customer mix.
Marvell Technology
MRVL is a design-win story where AI programmes can be meaningful but arrive on customer-specific schedules.
ServiceNow
NOW’s AI opportunity depends on premium product adoption expanding contract value across its installed base.
Salesforce
CRM’s AI setup depends on converting agent interest into paid usage without weakening core subscription growth.
Oklo
OKLO is a long-duration licensing and project-development story, not a current operating utility.
Jet.AI
JTAI is an extreme-risk execution case requiring evidence of product usage, recurring revenue, and adequate liquidity.
Alphabet
GOOGL’s key question is whether AI improves Search and Cloud economics without disrupting the core ad model.
NuScale Power
SMR trades on project credibility: design progress must lead to funded customers and executable timelines.
Intel
INTC’s AI thesis requires competitive products and foundry execution to improve at the same time.
IBM
IBM’s AI signal is strongest when bookings convert into software growth and consulting pull-through.
Alibaba Group
BABA’s AI upside must be assessed alongside cloud competition, regulation, and the structure of its US listing.
Tesla
TSLA’s AI optionality depends on verifiable autonomy and robotics progress alongside the economics of its core vehicles.
BullFrog AI
BFRG is a highly speculative platform case where partner validation and funding outweigh broad AI narratives.
Arista Networks
ANET is a network-throughput play whose AI opportunity depends on Ethernet adoption inside scaled clusters.
Qualcomm
QCOM offers an edge-AI angle where adoption is measured through device cycles and content per platform.
Vertiv
VRT is a picks-and-shovels AI play whose order growth must convert without sacrificing execution or margins.
ASML Holding
ASML provides upstream AI exposure through foundry investment rather than direct accelerator demand.
Dell Technologies
DELL’s AI upside depends on backlog conversion and the margin profile of increasingly large system deals.
Snowflake
SNOW must turn AI product interest into sustained consumption without weakening core workload economics.
Constellation Energy
CEG’s data-centre angle depends on durable power contracts and plant performance rather than AI spending headlines.
AppLovin
APP’s AI narrative must remain visible in advertiser returns, platform growth, and durable take rates.
GE Vernova
GEV is an indirect AI-demand play where data-centre load growth can reinforce a broader power investment cycle.
Recursion Pharmaceuticals
RXRX is a platform-validation story where partnerships and clinical progress must justify the research engine.
Arm Holdings
ARM’s AI angle reaches from efficient edge inference to higher-value data-centre designs and royalty rates.
Applied Materials
AMAT benefits when AI complexity increases equipment intensity across leading-edge logic, memory, and packaging.
Credo Technology
CRDO is a bandwidth-growth story where AI cluster scale can expand both content and customer concentration.
Adobe
ADBE’s AI question is whether new usage expands recurring revenue while protecting creator trust and margins.
UiPath
PATH needs agentic products to reinvigorate growth without disrupting its installed automation base.
Serve Robotics
SERV must prove that fleet expansion produces repeatable deliveries and attractive unit economics.
Vistra
VST offers market-based power exposure to rising data-centre load, but commodity and hedging dynamics still dominate.
Lam Research
LRCX’s AI sensitivity is most visible when HBM and advanced-memory investment broadens beyond a single cycle.
Astera Labs
ALAB’s case rests on growing connectivity content per AI server and broadening beyond initial hyperscale customers.
Cipher Mining
CIFR’s AI option value depends on securing credible tenants and financing without losing sight of crypto exposure.
Symbotic
SYM is a backlog-and-deployment story where large projects must convert on schedule and at improving margins.
Aurora Innovation
AUR needs safe driverless operations to scale into paid freight capacity without excessive capital consumption.
TeraWulf
WULF’s AI thesis requires contracted HPC economics to emerge from an asset base still influenced by bitcoin.
Coherent
COHR’s AI exposure depends on optical-content growth as clusters demand faster links across greater distances.
Celestica
CLS is an AI hardware-content story where mix and programme execution determine how much demand reaches margins.
Upstart Holdings
UPST is a funding-and-credit-cycle story where model performance must attract consistent lender capital.
Synopsys
SNPS is an upstream complexity play where AI design demand can lift both tools and reusable IP content.
Hewlett Packard Enterprise
HPE’s AI case rests on converting a large systems pipeline while protecting margin and cash flow.
Mobileye Global
MBLY’s AI case depends on vehicle production volumes, higher-value systems, and recovery from inventory cycles.
Eaton
ETN gives the AI build-out a power-distribution angle, with orders and backlog showing whether demand is broadening.
Core Scientific
CORZ is valued on whether long-term HPC contracts outweigh capital needs and continuing crypto sensitivity.
KLA
KLAC offers AI supply-chain exposure through rising process-control intensity and advanced packaging requirements.
Quanta Services
PWR is a second-order AI beneficiary when data-centre load requires funded grid and generation connections.
Baidu
BIDU’s AI story depends on cloud monetisation and search adaptation while capital is committed to new platforms.
NRG Energy
NRG is an indirect data-centre demand beneficiary whose results remain sensitive to power markets and hedging.
Cadence Design Systems
CDNS benefits when AI chips become harder to design and customers spend more on verification and system analysis.