Tech news picked on 2026-06-28
Ford Reduced Staff with AI, Rehired 350 Veterans After Quality Decline
- Ford deeply integrated AI into design and quality inspections and cut experienced engineers, but when automation missed defects, they spent billions and rehired about 350 veteran engineers.
- They did not abandon AI but reintroduced human judgment, then achieved J.D.
- Power's top initial quality ranking for the first time in 16 years.
- The core of operational design is deciding who and when to supplement judgments not captured in data, rather than automation rates.
Memory prices won't come down again: Lenovo's view on a 5-year structural change
- At ISC 2026, Lenovo firmly stated that DRAM and NAND prices will not return to previous levels for over five years.
- As Samsung, SK Hynix, and Micron focus production on HBM and server DRAM, general-purpose memory is drying up, and even when new fabs start in 2028, the baseline is expected to remain high.
- For hardware products, instead of waiting for price normalization, consider whether they can sell with high memory prices as a given, or provide the same value with less memory.
Once Filtered Out, Rejected by All Companies: The Trap of Using the Same AI in Hiring
- Stanford HAI analyzed 1.7 million job postings and 4 million applications, revealing a monoculture of algorithms shared by multiple companies using the same vendor algorithm.
- An applicant filtered out once is subsequently rejected by all companies using that AI.
- Asians were disadvantaged by 5.3%, and Black applicants by 10.6%.
- When developing hiring AI, the feature that sells is not just better filtering performance but the ability for clients to explain who was filtered and why.
Fusion of AI and Brainwave Interfaces: A New Era of Creation
- Dexter Studio is participating in the government's Mind Prompting AI Agent project to develop creative technology that interprets brainwaves and generates images.
- The funding sources shown in the article are closer to government projects, investments, and strategic collaborations rather than customer revenue.
- Even if research funds are secured, it is difficult to translate that into sales unless its usefulness is proven in actual creative settings.
- In this field, regulatory and ethical compliance are not just side tasks but essential conditions for connecting research to business.
US Export Ban Opens Space in Asia
- This article discusses how the US export ban has opened up space for AI startups in Asia.
- However, this space is not equally available to everyone.
- Large companies compete with broad models using capital and talent, but if small teams try to keep up with that fight, they quickly run out of stamina.
- The small teams' advantage lies in focusing narrowly and deeply on challenges that big companies struggle to solve all at once, such as regional regulations, privacy protection, and local customer workflows.
AI and Sustainability: Implications for Founders
- Naver released an ESG strategy centered on the AI ecosystem in its 2025 integrated report, while the Ministry of SMEs and Startups revised its scale-up policy for small business owners.
- Large companies can design AI and sustainability together using their capital and infrastructure, but small teams find it difficult to imitate this.
- For small teams, it is better to first demonstrate AI applications that reduce customers' costs and waste rather than grand ESG slogans, and use policy support to grow those achievements.