Morgan Stanley has upgraded Keysight Technologies, a company that makes testing and measurement equipment, arguing it could be a quieter beneficiary of the massive spending on artificial intelligence infrastructure. The upgrade comes as AI-related revenue at Keysight has climbed to the mid-teens as a share of total sales in the first half of the year, up from about 10% at the end of 2025.
What Keysight Does and Why It Matters for AI
Keysight produces the gear used to measure, validate, and certify new hardware, from early research and development through to factory production. Think of it as the quality-control checkpoint for the electronics industry. Every new chip, circuit board, or networking component must be tested to ensure it works reliably at scale before it can ship.
Morgan Stanley's argument is that the AI boom is creating more hardware designs and more configurations than ever before. Each new design requires testing, and as AI systems iterate faster, the number of designs that must be measured, debugged, and certified rises. This increases what the bank calls "test intensity" — more testing work per dollar of AI spending. Even if the industry can't settle on a single winning chip architecture, Keysight benefits from the sheer pace of experimentation across the entire AI hardware ecosystem.
Beyond AI: A Diversified Revenue Stream
Keysight's demand isn't tied solely to AI. The company also sells into aerospace and defense, semiconductor testing, and wireless networks. This diversification can help smooth out results when one end market cools, providing a buffer against the cyclical nature of tech spending.
This broader exposure is a key reason why Morgan Stanley sees Keysight as a more resilient play than companies that depend entirely on AI chip sales. While some chip stocks have faced volatility — as seen in recent fund outflows from the sector — Keysight's revenue base is spread across multiple industries.
What the Upgrade Means for Investors
Morgan Stanley raised its price target on Keysight to $400 from $350, with the stock trading at $328.30 at the time of the upgrade. The call is really about a choke point in the AI supply chain: the validation step that is hard to skip. As AI hardware changes rapidly, the need for testing grows, regardless of which specific company or architecture wins in the market.
The bank is framing Keysight's business as tied to "how fast AI hardware changes," not "which architecture wins." This is a subtle but important distinction. It means Keysight could benefit even if there is a shakeout among AI chip designers, as long as the overall pace of innovation remains high.
For everyday investors, this upgrade highlights a less obvious way to gain exposure to AI infrastructure spending. Instead of betting on a single chipmaker or cloud provider, Keysight offers a play on the broader trend of hardware iteration and testing. It's a reminder that the AI boom isn't just about the companies building the chips — it's also about the companies that help ensure those chips work properly.
Broader Market Context
The upgrade comes amid a period of intense focus on AI spending. Recent headlines have highlighted both the potential and the risks, with some investors questioning whether the massive capital outlays will pay off. For example, a recent report noted that chip stocks hit a speed bump in July as AI spending doubts sparked a record $11 billion fund outflow from the sector.
Against that backdrop, Keysight's diversified revenue and its role as a testing bottleneck could make it a more defensive AI play. The company's exposure to aerospace, defense, and wireless networks provides additional stability that pure-play AI companies may lack.
What to Watch Next
Investors will likely keep an eye on Keysight's earnings reports for further evidence that AI-related revenue is growing as a share of total sales. The mid-teens figure cited by Morgan Stanley is a notable increase, and if that trend continues, it could validate the bank's thesis.
Also worth watching is the broader pace of AI hardware innovation. If the industry slows down or standardizes on a single architecture, test intensity could decline. But for now, the rapid iteration of AI systems suggests that Keysight's testing services will remain in high demand.
Morgan Stanley's upgrade is a bet that the company's role as a quiet enabler of AI infrastructure will become more apparent to the market over time. For investors looking for a less crowded way to play the AI theme, Keysight may be worth a closer look.
