The automotive semiconductor cycle is turning in the second half of 2026. Major overseas chipmakers have reported a rebound, inventories across the supply chain have normalized, Tier 1 orders are recovering, and several product lines are already in a second round of price increases. Deutsche Bank and Bernstein say the industry has entered a structural uptrend, but this recovery is set to be uneven rather than broad-based. Infineon, NXP and other leaders have seen inventory days fall from above 200 to 120-140 days in the first quarter of 2026, while supplier inventory-to-sales ratios have returned to safer levels. Lead times for mainstream automotive power devices have stretched beyond 30 weeks, and SiC modules are taking more than 40 weeks in some cases. That tightening has already pushed prices up 10%-25% across multiple categories. The split is clearest in SiC, high-voltage IGBT, high-end MCU, and in-vehicle storage. 800V platforms are driving demand for higher-value semiconductors, while AI-related demand is absorbing mature 8-inch capacity. For automakers, the key issue is no longer shortage across the board, but which chips are tight, which are normalized, and which are still under pressure.

PANews published a detailed beginner’s guide to Tapeout by BruceBlue, framing the product less as a trading screen and more as a hands-on on-chain logic environment. The piece argues that new users should not start by chasing prices or asking which “chip” is worth minting. Instead, they should first understand what a processor does, how NAND and LATCH components are used, and how those parts connect to circuit creation and on-chain calls. The guide walks through a minimum-risk path: use a separate experimental wallet on BNB Smart Chain, review processor-level data before connecting a wallet, mint only very small amounts when supply remains, and treat the marketplace as an order-book venue rather than a one-click buy interface. It also stresses that the protocol is currently upgradeable and only plans to seal later, so users should verify every signature request and not rely on claims of immutability. From there, the article moves to the Tapeout canvas, where users can test simple examples in the browser before tapeout consumes components on-chain. It closes by warning readers not to misread the site’s “on-chain BTC miner” page as a mining yield product and offers a final checklist covering website verification, network selection, contract review, spending limits, and whether the user can absorb a total loss.

Phison Electronics CEO K.S. Pua used the company’s Aug. 13 second-quarter earnings call to make two points at once: to publicly accuse Chinese memory module leader Longsys of copying technology, and to argue that investors should stop viewing Phison as only a consumer-focused module company. Pua pointed to Longsys’ recent work with UNISOC on an Edge Device general DRAM offload solution and its HLC+ SPU technology collaboration with AMD, saying he had already confronted Longsys executives earlier this year at China’s FMS event with a blunt remark: 「You are a big company and also an innovative company, so why do you only know how to copy?」 He also pushed back on claims that AMD had chosen Longsys, saying the cooperation was limited to AMD’s China team, while adding that Phison has cooperation with Intel and MediaTek that is still covered by NDA. On operations, Pua said Phison’s newly defined AI Ecosystem Solutions segment accounted for about 38% of second-quarter revenue, up about 68% quarter over quarter. He also said NAND supply, not just pricing, is the bigger problem and could remain tight for many years.

Data from GMGN showed that BEHEMOTH, a meme coin on BSC, briefly pushed its market capitalization above $2.7 million before falling back to $1.04 million, with a 24-hour gain of 8,251%. The token’s surge came after a developer said they had completed what was described as the first real on-chain 4-bit processor on BNB Chain. The processor, also named Behemoth, consists of 2,251 logic gates including NAND gates and flip-flops, and was said to have been cycle-by-cycle verified against performance specs comparable to Intel’s 4004 from 1971. The project has already run a Fibonacci sequence calculation, producing 1, 1, 2, 3, 5, 8, and 13. Because its execution is synchronized with BNB Chain block production, the processor runs one cycle every 0.45 seconds, or about 2.22 Hz. The developer said the full protocol will be made public so others can build their own on-chain processors and let them call one another to form more complex computing systems. Binance co-founder CZ later responded to questions about the project by asking, 「What is the use case?」, a remark that triggered community discussion.

A rebound in memory stocks has been supported in part by a strong long-term outlook for the NAND market from SanDisk, according to Barron's, with investors now focused on whether price increases in DRAM and NAND can hold through the fourth quarter. KeyBanc projects DRAM prices to rise 15% to 20% quarter over quarter in the third quarter of 2026 and another 15% in the fourth quarter, while NAND is seen climbing 30% to 40% in the third quarter and a further 15% in the fourth. On a simple compounding basis versus the second quarter, that implies cumulative gains of about 32% to 38% for DRAM and roughly 50% to 61% for NAND by year-end. UBS analyst Timothy Arcuri set a $1,625 price target on Micron Technology, using expected 2029 EPS and about an 11x earnings multiple rather than 2027 to 2028 earnings because current supply shortages are keeping near-term profits elevated. FactSet data shows Wall Street's average price target for Micron at $1,549, above the stock's Aug. 14 closing price of $970.20.

U.S. Commerce Secretary Howard Lutnick said on Aug. 14 that the Trump administration does not support Apple buying DRAM and NAND chips from Chinese suppliers ChangXin Memory Technologies (CXMT) and Yangtze Memory Technologies Co. (YMTC). The stance puts added pressure on Apple as it weighs memory sourcing at a time when AI-driven demand has pushed costs higher. Apple had previously been testing DRAM from CXMT and was also in talks with YMTC over NAND supply, with the plan limited to products for non-U.S. markets. According to the report, YMTC has been on the U.S. Entity List since 2022, while CXMT was added to a military-related company list in 2025. Micron Technology has also been lobbying against the procurement approach. Apple now faces an Aug. 21 deadline to commit to dropping the two Chinese suppliers.

AI spending in semiconductors has largely been framed around GPUs, high-bandwidth memory, networking and power. This report argues that inference is widening that trade. As AI systems move from training to serving billions of queries, enterprise agents, multimodal workloads and real-time applications, the need to keep large pools of data accessible at reasonable cost is becoming more central. That is giving NAND a larger role as a capacity layer alongside HBM and DRAM, rather than leaving it as a conventional commodity storage product. Sandisk has become one of the clearest public advocates of that view. At its 2026 investor day, the company said enterprise data center flash demand could reach 1.2 ZB by 2030 and projected mid-to-high double-digit annual revenue growth from FY2028 through FY2030, with Reuters cited in the source for related expectations. The company is also developing High Bandwidth Flash, or HBF, for AI inference, while continuing to push denser QLC NAND products. At the same time, Sandisk and other storage makers are leaning more heavily on multi-year customer agreements. Reuters, as cited in the source, reported that Sandisk had signed eight long-term agreements with six customers worth about $93.9 billion in total. The article’s main conclusion is narrower than a permanent re-rating story. AI is unlikely to erase NAND cyclicality. What may change is the amplitude: stronger bit demand, better demand visibility and tighter supply discipline could make future NAND cycles less violent than in the past.

After SanDisk’s investor day on Aug. 15, several Wall Street firms recast the company as part of the AI infrastructure build-out rather than a name tied mainly to consumer-electronics memory cycles. JPMorgan resumed coverage with an Overweight rating and a $2,250 price target, arguing that inference demand for KV Cache, enterprise SSDs and high-bandwidth flash is changing the demand profile for NAND. The bank also said SanDisk’s new multi-year commercial model agreements with large customers should improve demand visibility and help support margins while NAND supply remains tight. Citi kept its Buy rating and $2,100 target, pointing to the same themes: steadier revenue from long-term contracts and structural demand from AI data centers. Morgan Stanley took a more cautious line, saying the company’s high-margin targets may be difficult to execute, though it also acknowledged that a combination of supply shortages and AI demand could keep SanDisk’s profitability above historical cycle levels for years. The reassessment showed up quickly in trading, with SanDisk up about 6.5% on Friday, nearly 35% for the week and more than 60% over the past two-plus weeks. Micron, Western Digital and Seagate also moved with the broader storage chain.