30 Stocks to Watch in 2027: Six Themes, One Research Plan

The 2027 research watchlist

30 companies.
Six themes. One question:
Who keeps the profit?

Explore AI, data centers, power, semiconductors, cybersecurity and automation through pricing power, cash generation and the expectations already embedded in a stock.

30 companies to research6 connected investment themesUpdated September 28, 2026

A list of stocks to watch in 2027 is most useful when it explains what to investigate next. Exciting products and large markets can attract attention, but shareholder returns ultimately depend on business execution, financing and the price paid for future earnings.

The 30 companies below offer a starting point across six themes. Some sell equipment, some sell subscriptions, some operate physical assets, and others depend on customer projects. Their opportunities overlap, but the way each converts demand into cash is different.

How to use this guide: This is a research watchlist, not a ranking, model portfolio or prediction that all 30 stocks will rise. Theme labels are editorial groupings, not formal sector classifications. Company links lead to official sources; the research questions and risk framework are the author’s analysis.

Start with three questions

First, who can defend pricing without losing customers? Second, who generates cash after the spending required to support growth? Third, how much future success does today’s valuation already assume? Answering those questions turns a popular theme into a company-specific investigation.

Separate calendar 2027 from company fiscal years. A report labeled fiscal 2027 may include months in calendar 2026. Consistent periods are essential when comparing growth rates, margins and forecasts across this list.

Theme 01 / Five companies

AI & Software: Follow the money beyond the AI demo

AI adoption becomes an investment thesis only when it creates economic value. These five companies participate at different points: computing infrastructure, cloud consumption, workplace software, advertising and enterprise decision systems. Putting them together is useful for research, but their revenue models are not interchangeable.

NVIDIA belongs here because of its role in AI infrastructure, although it also overlaps directly with semiconductors. Microsoft and Alphabet must balance monetization against the cost of building and operating capacity. Meta’s test includes whether AI strengthens the economics of its advertising business. Palantir requires scrutiny of deployment depth and the durability of customer expansion.

The 2027 question: who keeps the incremental profit?

A paid deployment is stronger evidence than a demonstration, but revenue alone is insufficient. Compare the additional revenue with computing expense, depreciation, support and selling costs. Also separate recurring adoption from a large initial contract. An expanding market can support several winners while still rewarding shareholders very differently.

AI & Software — company research priorities
CompanyBusiness exposureMetrics to monitorQuestion to investigate
NVDANVIDIAAccelerated computing and AI infrastructureData-center growth, gross margin and customer concentrationCan customers earn enough on deployed capacity to sustain repeat orders?
MSFTMicrosoftCloud and enterprise softwareAzure demand, paid AI adoption and cash after capital spendingDoes incremental AI revenue cover infrastructure and operating costs?
GOOGLAlphabetSearch, advertising and cloud servicesSearch economics, cloud profit and capital intensityCan AI improve monetization while preserving attractive unit economics?
METAMeta PlatformsAdvertising platforms and AI applicationsAd monetization, operating margin and infrastructure spendingDo AI investments improve cash generation beyond engagement metrics?
PLTRPalantirEnterprise and government analytics softwareCommercial expansion, contract conversion and diluted share countCan wider deployment produce durable profit growth per share?

Swipe horizontally on mobile. Metrics are suggested research priorities, not claims of current performance.

Theme 02 / Five companies

Data Centers: Separate equipment sales from recurring infrastructure revenue

A functioning AI data center needs servers, networking, electricity distribution and heat removal. This theme covers suppliers to those systems and an operator of data-center facilities. Their shared customer opportunity does not imply shared margins, capital requirements or revenue recognition.

Vertiv and Eaton address physical infrastructure, while Arista supplies networking and Dell supplies computing systems. Equinix adds a different model through data centers and interconnection. An equipment shipment, a service agreement and recurring facility revenue should therefore be evaluated with different financial measures.

The 2027 question: are orders becoming cash?

Backlog can support visibility, but delivery dates, customer funding and cancellation terms still matter. More inventory and receivables can absorb cash even as reported revenue accelerates. For Equinix, adjusted funds from operations, or AFFO, can aid analysis, but its reconciliation and development spending still need review. A shortage creates an opportunity only if the supplier can deliver profitably.

Data Centers — company research priorities
CompanyBusiness exposureMetrics to monitorQuestion to investigate
VRTVertivPower and thermal-management equipmentOrders, backlog conversion, service mix and marginsCan new capacity meet demand without weakening project economics?
ANETArista NetworksData-center and enterprise networkingNetworking adoption, margins and major-customer exposureWill deployments broaden beyond a small number of large buyers?
DELLDell TechnologiesServers, storage and enterprise infrastructureAI server shipments, operating profit and working capitalHow much gross profit and cash accompany each revenue dollar?
ETNEatonElectrical power managementElectrical orders, capacity expansion and return on capitalCan pricing and execution offset input costs and expansion spending?
EQIXEquinixData centers and interconnectionAFFO per share, utilization, development returns and leverageAre new facilities earning adequate returns after financing costs?
Theme 03 / Five companies

Energy & Power: Find out who receives the electricity revenue

Electricity demand is not a single investment exposure. GE Vernova supplies technology and equipment. Constellation generates and supplies power. NextEra combines a regulated utility with energy development. Cameco participates in nuclear fuel, while Quanta builds and services infrastructure. The same demand forecast reaches each company through a different contract and cost structure.

Constellation also needs a current description: it completed its Calpine acquisition on January 7, 2026. A research thesis should account for the combined generation portfolio, rather than assuming the company is exclusively a nuclear exposure.

The 2027 question: can demand be connected and financed?

A proposed facility needs more than an announcement. Generation, transmission, interconnection, permits and financing must align. Regulated returns also differ from merchant power pricing. Examine who bears construction overruns and which customer commitments are binding before treating a proposed project as future earnings.

Energy & Power — company research priorities
CompanyBusiness exposureMetrics to monitorQuestion to investigate
GEVGE VernovaPower-generation and grid equipmentEquipment orders, services and segment profitabilityWill growing demand translate into timely, profitable deliveries?
CEGConstellation EnergyElectricity generation and customer supplyContract pricing, fleet reliability and integration executionHow much demand is supported by executable long-term contracts?
NEENextEra EnergyRegulated utility and energy developmentRate-base investment, project returns and financing needsCan growth investments earn sufficient returns under applicable regulation?
CCJCamecoUranium, fuel services and nuclear investmentsContracted pricing, production costs and delivery commitmentsDo realized economics improve alongside the nuclear demand narrative?
PWRQuanta ServicesEnergy infrastructure construction and servicesBacklog quality, project execution and cash conversionCan labor availability and contract terms protect project margins?
Theme 04 / Five companies

Semiconductors: Understand which part of the chip cycle you own

The semiconductor label hides several distinct businesses. Broadcom and AMD design products. TSMC manufactures chips for customers. Micron sells memory and storage products. ASML provides lithography equipment and services used in chip production. A common AI tailwind does not synchronize their earnings cycles.

The 2027 question: where could supply catch up?

Capacity additions can relieve bottlenecks while weakening scarcity pricing. Evaluate inventories, utilization, customer concentration and competitive alternatives together. A low earnings multiple can look attractive when cyclical profits are unusually strong; the more useful question is what earnings might look like under normalized pricing and utilization.

Semiconductors — company research priorities
CompanyBusiness exposureMetrics to monitorQuestion to investigate
AVGOBroadcomSemiconductors and infrastructure softwareAI networking, custom silicon and software cash flowHow diversified are customers and profit sources across the group?
AMDAdvanced Micro DevicesProcessors and acceleratorsServer adoption, accelerator sales and gross marginCan product competitiveness produce repeat orders and profitable scale?
TSMTaiwan Semiconductor ManufacturingContract chip manufacturingAdvanced-node utilization, packaging and capital returnsCan process leadership offset investment costs and geographic risks?
MUMicron TechnologyMemory and storage semiconductorsMemory pricing, HBM mix, supply and capital spendingWill pricing remain attractive as industry capacity expands?
ASMLASML HoldingLithography systems and related servicesBookings, shipment timing and customer capital budgetsDo orders represent durable investment rather than temporary timing shifts?
Theme 05 / Five companies

Cybersecurity: Measure retention and expansion, not just the threat count

Security spending addresses continuing business needs, but vendors still compete for finite budgets. Customers can consolidate suppliers, negotiate discounts or postpone projects. More threats do not automatically mean every listed security company gains share or maintains its pricing.

Cloudflare is broader than cybersecurity: its connectivity cloud includes networking and developer services. Fortinet combines hardware with services, which changes its purchasing cycle. Platform companies should also be assessed for how much growth comes from existing operations versus acquisitions.

The 2027 question: does recurring revenue create recurring value?

Compare retention, customer expansion and free cash flow using consistent definitions. Annual recurring revenue is a management metric, not automatically recognized revenue or cash in the bank. Strong cash flow deserves a second look when stock-based compensation is significant: dilution can change the outcome for each share even while the company’s total cash generation improves.

Cybersecurity — company research priorities
CompanyBusiness exposureMetrics to monitorQuestion to investigate
CRWDCrowdStrikeCloud-delivered security platformRecurring revenue, module adoption and customer retentionDoes platform expansion improve durable cash generation?
PANWPalo Alto NetworksNetwork, cloud and security-operations platformsRecurring business, integration and organic growthCan consolidation strengthen economics without obscuring underlying demand?
NETCloudflareConnectivity, security and developer servicesLarge customers, paid adoption and operating cash flowAre new workloads converting into attractive revenue and margins?
FTNTFortinetNetwork security hardware and servicesProduct demand, service renewals and operating marginCan recurring services balance hardware purchasing cycles?
ZSZscalerCloud security and zero-trust accessCustomer expansion, recurring revenue and cash conversionDoes platform adoption reduce churn without excessive sales expense?
Theme 06 / Five companies

Robotics & Automation: Real deployment is the milestone that matters

This group spans very different levels of commercialization. Intuitive’s robotic-assisted surgery should not be confused with autonomous surgery. Tesla’s autonomy and robotics ambitions require separate assumptions from the economics of its established businesses. Rockwell’s industrial automation and Teradyne’s testing systems serve different purchasing decisions.

Teradyne includes Universal Robots and Mobile Industrial Robots, but its semiconductor-testing exposure is also important. A semiconductor upcycle could improve group results without proving that robotics demand has accelerated.

ABB requires a ticker and business-model correction

ABB’s U.S. ADR trades OTC as ABBNY; its Swiss ticker is ABBN, while ABB is used in Stockholm. It is not currently a NYSE-listed stock under the old ABB ticker.

ABB announced the sale of its Robotics division to SoftBank. Its July 16, 2026 update still targeted closing in the second half of 2026. This article does not establish a subsequent closing. For 2027 research, assess remaining automation and electrification operations and verify transaction status before treating ABB as continuing robotics exposure.

Robotics & Automation — company research priorities
CompanyBusiness exposureMetrics to monitorQuestion to investigate
TSLATeslaVehicles, energy and autonomy/robotics developmentCore cash generation, deployment evidence and investment requirementsWhich future applications have demonstrated repeatable commercial economics?
ISRGIntuitive SurgicalRobotic-assisted surgical systemsProcedures, utilization, instruments and service revenueDo hospitals gain enough clinical and economic value to expand usage?
ABBNY / ABBNABBElectrification and industrial automationContinuing operations, portfolio changes and cash returnsHow does the Robotics divestment change the actual investment exposure?
ROKRockwell AutomationIndustrial control and automationOrganic orders, software/services mix and customer spendingAre factory investments moving from plans into profitable installations?
TERTeradyneAutomated testing and industrial roboticsTest demand, robotics orders and segment profitabilityIs the robotics business improving independently of semiconductor testing?

Six themes can still depend on the same spending decision

Consider a hypothetical cloud company that postpones a data-center expansion. The delay could affect accelerator purchases, networking orders, cooling systems, electrical equipment and construction. Five different holdings might respond to one customer decision.

That is why counting tickers is an incomplete diversification test. Map who pays each company, which budgets fund those purchases, and how contracts transmit a slowdown. Also check whether broad-market funds already create exposure to the same companies.

The SEC’s diversification guidance explains the value of spreading investment exposure. Applying that principle here means examining common economic drivers as well as industry labels. The following table is a qualitative risk map, not a measured correlation study.

Look through the theme label to the underlying exposure
Common driverPotentially affected groupsResearch response
Cloud capital spendingAI infrastructure, chips, networking, cooling and power equipmentIdentify concentrated customers and distinguish firm orders from plans.
Financing costsData-center operators, utilities and project developersReview maturities, funding needs and returns on new projects.
Enterprise budgetsSoftware, cybersecurity and industrial automationMonitor sales cycles, renewals, pricing and expansion spending.
Execution constraintsManufacturing, power and constructionTrack delivery schedules, labor, permits and working capital.

How to compare valuation without forcing one metric on everyone

Use earnings and cash-flow measures that fit the business. For a profitable software company, study growth alongside margins, retention and dilution. For a capital-intensive company, include reinvestment and debt. For a data-center REIT, examine AFFO alongside recurring capital expenditure and development returns.

A simple hypothetical demonstrates the price problem. If earnings per share rise 20% while the valuation multiple falls from 40 times to 30 times, the implied price becomes 1.20 × 30 ÷ 40, or 90% of the starting value. The company grows, yet the share price falls 10%, excluding dividends.

Business growth + price paid + future valuation = the shareholder outcome

The example is illustrative, not a forecast for any company here. Its purpose is to encourage reverse thinking: what growth and profitability must occur to justify the price? Then test whether that outcome remains plausible under less favorable assumptions.

Build a bull, base and bear case for 2027

Bull case: Customer adoption expands, infrastructure is utilized efficiently, and suppliers preserve pricing. Cash generation improves alongside revenue, giving companies room to fund growth without excessive dilution or leverage. The key evidence would be operating results that support the demand narrative.

Base case: Demand continues growing, but bottlenecks, competition and heavy investment divide the winners. Some companies convert orders into cash faster than others. Stock selection becomes more sensitive to valuation and execution than to membership in a fashionable theme.

Bear case: Customer returns disappoint, projects are delayed, or new supply weakens pricing. Earnings estimates and valuation multiples can decline together. These scenarios are analytical possibilities; this article assigns neither probabilities nor price targets to them.

Turn the watchlist into an earnings-season worksheet

For each company, write down its revenue engine, two operating metrics, a cash-flow measure and the observation that would weaken the thesis. Record the source date. Update that worksheet after results rather than changing the story whenever the share price moves.

Frequently asked questions

Are these the best stocks to buy for 2027?

No. They are candidates for further research. The list does not assess every company’s current valuation or suitability for a particular investor.

Why is NVIDIA outside the semiconductor table?

The list preserves the original thematic grouping. NVIDIA overlaps AI infrastructure and semiconductors; its placement does not change its business exposure.

Does owning stocks across all six themes provide diversification?

Not necessarily. Several companies can depend on the same customers, capital budgets or financing conditions. Diversification requires examining those connections and the rest of the portfolio.

Is ABB still a straightforward robotics investment?

Its announced Robotics sale changes that thesis. Verify the transaction’s current status and evaluate continuing operations. Also confirm the listing: the U.S. ADR uses ABBNY and trades OTC.

Which research metric should come first?

Start with how the business earns revenue, then test pricing power and cash conversion. There is no single ratio that fairly ranks a software platform, utility, chipmaker and surgical-system company.

The strongest theme is only the beginning

A growing market creates possibilities. Durable pricing, disciplined investment and cash generation determine how much of that opportunity a company retains. For 2027, the most useful question is whether the evidence and valuation support the specific business you are considering.

Official sources and research notes

Research date: September 28, 2026. Each company name or ticker in the tables links to an official investor-relations, business or announcement page. These sources support business descriptions; the forward-looking questions are independent analysis rather than company forecasts.

For educational purposes only. This article is not personalized investment advice or a recommendation to buy or sell securities. Forward-looking outcomes are uncertain. Review current filings, valuation, liquidity and your own circumstances before making an investment decision.

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