Ford has brought back experienced employees to handle design and manufacturing quality checks after discovering its AI camera systems were unreliable. The company found the automated visual inspection technology prone to critical errors.
Ford's experiment with AI-powered cameras for quality control hit a wall. The hundreds of automated systems deployed across design and manufacturing operations frequently missed defects and flagged false positives, undermining production efficiency.
The carmaker responded by rehiring experienced workers—colloquially called "greybeards" for their age and tenure—to resume manual inspection duties. These veterans brought back expertise that algorithms couldn't replicate, particularly in identifying subtle manufacturing issues and design flaws that require contextual judgment.
The move underscores a broader challenge in manufacturing automation: AI excels at repetitive tasks under controlled conditions but struggles with the nuanced visual assessment required in complex production environments. While Ford continues exploring AI applications, the company now relies on a hybrid approach pairing technology with human expertise.
The decision reflects growing recognition across industries that fully replacing experienced workers with automation isn't always feasible—at least not yet.
US business schools are launching programs to prepare students for chief AI officer roles as companies scramble to define the position. The C-suite title is emerging faster than corporate clarity on its actual responsibilities.
Early users praise Instinct's new AI assistant for its capabilities, but security experts warn its broad access permissions and ability to act independently raise significant privacy concerns.
Chinese optical transceiver maker Eoptolink Technology has stockpiled components aggressively to meet surging AI demand, pushing inventory levels up 61% in the first half of the year.