Texas Instruments rides AI demand for the “power layer” as TXN stock nears record highs

Texas Instruments is enjoying a market rerating as investors increasingly focus on the parts of AI systems that are less visible than GPUs, networking gear, or memory. In commentary published this week, Trefis said AI demand has pushed TXN shares to near all-time highs, with the stock up about 70% year to date.

The core argument is that Texas Instruments does not supply the compute chips that dominate AI headlines, such as Nvidia GPUs. Instead, the company makes analog and embedded processing components that manage electricity inside electronics, including power management integrated circuits, voltage regulators, amplifiers, and related functions. Trefis describes these “unglamorous” parts as essential to powering and monitoring the high workloads created when AI datacenter systems scale.

Those needs matter, Trefis said, because every AI server requires more than raw processing power. Beyond compute, servers must convert, regulate, and monitor electricity, synchronize high-speed data transfers between processors and memory, and maintain reliable operation under heavy, continuous loads. In that view, TI’s chips become part of the critical infrastructure that enables GPU clusters to run efficiently.

Trefis also pointed to how the market has responded in valuation terms. The analysis cited a forward earnings multiple around 39x for Texas Instruments, a richer level than what investors historically associated with the company, which has often been viewed as a steadier, cyclical industrial semiconductor player. The implication is that the market is underwriting a longer, more durable data-center growth runway rather than treating revenue as purely tied to traditional factory and vehicle cycles.

Fundamentals referenced by Trefis include the state of TI’s biggest end market, industrial. The analysis said industrial revenue grew more than 30% year over year last quarter, marking eight straight quarters of sequential growth. At the same time, it said the industrial segment remains roughly 15% below its prior peak, leaving room for further improvement as the recovery continues.

Trefis further cited TI’s guidance for the quarter, saying management expected second-quarter revenue in a range of $5.0 billion to $5.4 billion, which it described as above analyst estimates. The same commentary said growth was expected across both industrial and data center markets, aligning with the idea that AI-driven demand for power and analog components is starting to show up alongside the broader semiconductor upcycle.

The main limitation is disclosure. Trefis’ article, as provided in the packet, does not break out specific TI product categories within “AI server power” nor does it quantify how much of TI’s data-center exposure comes from power regulators versus other analog functions. It also does not provide a detailed forecast of how long AI server power spend will translate into revenue growth for TI, beyond pointing to improving industrial conditions and ongoing data-center demand.

Investors watching the next steps will likely focus on whether TI continues to guide data-center and industrial revenues higher, and whether company disclosures show expanding traction in the power and analog stacks used for modern AI datacenters. Industry developments on datacenter power architectures could also matter, since they influence how much power conversion and regulation hardware is needed as systems scale. For now, the market’s message is clear: when AI expands, it pulls through demand for the power layer that makes the hardware work.