The Inflection Economy
Portfolio Managers at Logos LP
Synaptics stands to benefit as AI moves out of data centers into physical devices, a read-through from Micron's results. Micron said L2+ vehicles carry 5x the memory and storage of average cars and humanoid robots carry 10x that of L2+ vehicles. Physical AI needs local compute, sensing, connectivity and low-power inference, which is Synaptics' lane. x.comÂ
Physical AI's reliance on semiconductors across its technology layers could make it the next theme to drive another rally in semiconductor stocks. Micron recently echoed this view. There is still much to learn about the field. x.comÂ
Synaptics is a buy below $65 in this correction for its edge AI chips for IoT and automotive. For investors under 35, the broader market correction is a gift. x.comÂ
Inference's move toward edge devices and dense, memory-hungry racks should drive demand for specialized chips, links, power delivery and cooling. McKinsey projects inference at 60% of AI computing demand by 2030. Ambarella makes on-device AI chips; Astera Labs links GPUs, memory and networks; Credo supplies short copper connections; Rambus earns from memory interfaces; Navitas reduces power waste; Modine cools dense racks; and Super Micro builds inference-specific server racks at volume. x.com … Show more
Each new AI wave is lifting demand across Micron's HBM, DRAM and storage products. Micron said training, inference, agentic AI and physical AI raise memory needs; the stock still trades at about 5x next-twelve-month earnings, leaving its growth story just getting started. x.comÂ
Micron and SK hynix pricing in a memory shortage past 2030 extends the memory-cycle case beyond the Street's 2028 expectation. SK hynix's record quarter adds evidence: per Wall St Engine, revenue rose 328% to $78.9B, operating profit rose 632% to $62.8B, and operating margin hit 80%. Agentic and physical AI could add demand as they roll out. x.com x.comÂ
Improving earnings and more attractive valuations favor AI infrastructure names Nvidia, Micron, Broadcom and TSMC. Goldman Sachs charts put memory stocks at about 4 times two-year forward earnings versus an 8 times median, and large fabless chip stocks at about 13 times versus 18 times. x.comÂ
Micron and Marvell keep grinding higher on AI infrastructure demand as the market rotates from compute hype to memory and networking fundamentals. Nvidia's 65.5% revenue growth can't move its stock after earnings, while Micron grows 45.4% and Marvell 42.1%. x.comÂ
The still-robust AI wave will inevitably drive physical AI forward, making Ouster's lidar, cameras and software stack increasingly critical. SK Hynix's strong earnings show that momentum is far from over; physical AI still has substantial runway and has not seen the hype of other AI trades. x.comÂ
Micron is one of only three memory makers, and high-bandwidth memory for AI accelerators is the move. x.comÂ
Micron looks like a bargain at about 5x forward earnings with 380% sales growth and net profit up 11x, in an AI compute environment where every data point is extremely bullish. A quoted post cites OpenAI nearing $70B in ARR, AI agents becoming a new secular demand driver, record Korean memory-chip exports, and Micron's big beat-and-raise with demand extending another year. x.comÂ
