automation

Google is integrating its Display Ads business into the AI-powered Demand Gen platform, effectively retiring the Google Display Network (GDN). This shift moves from manual campaign control and granular targeting to an automated, AI-driven approach across YouTube, Discover, and Gmail. Advertisers must now focus on providing diverse creative assets, as Google’s AI optimizes performance. The transition emphasizes automated customer engagement and requires a reevaluation of reporting metrics and data infrastructure, aligning with industry trends towards AI-led advertising.

European companies are strengthening ties with China’s supply chains, driven by a need for global competitiveness. A survey reveals 68% of businesses are maintaining or expanding operations in China, with nearly one-third increasing production. Advanced automation in Chinese factories significantly enhances cost efficiencies, making labor costs less relevant. This integration is a strategic necessity for competing globally on price and quality, despite shifting global dynamics.

Beijing is establishing humanoid robot schools to train AI for diverse industries, aiming for global leadership in robotics. This state-backed initiative, involving extensive data training and the development of dexterous robotic hands, prepares robots for tasks ranging from domestic chores to complex repairs. The goal is to augment human capabilities by handling dangerous or repetitive work, rather than replacing humans.

British tech firm Humanoid will deploy 1,000-2,000 robots at Schaeffler’s global manufacturing sites by 2032, starting in late 2026. This partnership, focusing on tasks like box handling, signals a significant integration of humanoid robots into the automotive supply chain. Concurrently, South Korean startup RLWRLD is collecting human motion data to train AI for robots, aiming for industrial and service applications by 2028, despite labor concerns about job displacement.

White House official Kevin Hassett downplayed immediate job loss fears due to AI, citing no current empirical evidence. However, he revealed a taskforce is studying AI’s long-term workforce impact. This contrasts with some tech companies like Block, which are using AI for automation and efficiency, leading to layoffs. The government acknowledges AI’s potential future shifts and is preparing for them.

Japan Airlines is piloting humanoid robots at Tokyo Haneda Airport to address labor shortages caused by an aging population and rising tourism. The two-year trial, in partnership with GMO AI & Robotics, will involve robots in baggage handling and cabin cleaning. This initiative reflects a broader trend in Japan’s aviation sector, seeking technological solutions to demographic challenges and increasing operational demands.

Customers Bank CEO Sam Sidhu utilized an AI clone during an earnings call to highlight the bank’s significant embrace of artificial intelligence. The bank has partnered with OpenAI to embed engineers, aiming to automate lending and client onboarding. This strategy seeks to drastically reduce loan processing times, scale growth without increasing headcount, and improve efficiency ratios, demonstrating a tangible return on AI investment.

Tech giants like Meta and Microsoft are implementing significant layoffs, exceeding 20,000 combined, driven by AI-powered operational efficiencies and a post-pandemic correction. This trend signals a structural transformation of the workforce, with AI tools handling complex tasks, raising concerns about job displacement. While new AI-related roles are emerging, the current reality shows a widening gap between job cuts and creation, impacting employee morale and leading companies to proactively manage costs. Startups are also achieving rapid growth with leaner teams, further reshaping the labor market.

Despite widespread AI adoption, enterprise translation remains severely underautomated, with 83% of businesses not leveraging modern language AI. DeepL’s report highlights this “automation gap,” where manual or traditional processes persist, hindering efficiency. Language AI is becoming crucial for global expansion, sales, marketing, and support. DeepL emphasizes enterprise trust and data sovereignty, offering secure solutions like “Bring Your Own Key” encryption, positioning its new agentic AI for widespread adoption in 2026.

Companies like Hershey are integrating AI beyond strategic planning into daily operations, especially in supply chains. This involves using AI for ingredient sourcing, plant automation, and streamlining fulfillment to create faster, smarter, and more resilient operations. The goal is to translate data into actionable decisions, reduce waste, manage inventory, and elevate service levels, moving from reactive problem-solving to proactive optimization.