automation

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.

Amazon has acquired Rivr, a Swiss robotics company specializing in autonomous doorstep delivery. This strategic move enhances Amazon’s last-mile logistics capabilities, aiming to improve safety and customer experience. Rivr’s technology, including a four-legged robotic platform, will be integrated to assist delivery associates. This acquisition aligns with Amazon’s ongoing investment in automation and robotics across its operations.

ServiceNow CEO Bill McDermott warns that AI integration could lead to mid-30s unemployment for college graduates as AI automates tasks across white-collar jobs. Existing data shows rising underemployment for graduates. Companies like Block, Atlassian, and Amazon are already leveraging AI for workforce optimization and cost reduction, signaling a significant shift in the labor market.

Former Citi Global Insights innovation head Rob Garlick predicts AI will outnumber humans in the workforce within decades, driven by businesses prioritizing profitability and efficiency. He argues AI’s ability to perform tasks cheaper and better makes human labor uncompetitive. While some, like Jensen Huang of Nvidia, foresee new high-skilled job creation, others, including the IMF and major corporations, warn of significant workforce displacement and a “tsunami” of layoffs due to AI integration.

China’s Spring Festival Gala showcased impressive humanoid robot performances, highlighting rapid advancements in the nation’s robotics sector. China leads in manufacturing and deployment due to its integrated value chain and government support, with companies like Unitree offering competitive pricing. While technical challenges remain, particularly in AI and adaptability for real-world tasks, China is poised to maintain its dominance in the humanoid robotics landscape.

AI is transforming enterprise treasury management, moving businesses from error-prone spreadsheets to automated data pipelines. Experts highlight the need for digitized, real-time data as a foundation for AI implementation. Integrating treasury management systems with ERP platforms and trading systems is crucial for accurate insights, enabling better liquidity management, risk mitigation, and compliance. This modernization is essential for navigating market volatility and building financial resilience.

Urban Outfitters Inc. is piloting agentic AI to automate weekly performance reporting, transforming a manual task into a software-driven process. This initiative allows AI systems to analyze store-level data and generate consolidated reports, highlighting key patterns and areas for attention. The goal is to reduce time spent on data collection, accelerate decision-making, and free up merchandising teams for strategic thinking. This move signifies a broader trend of autonomous AI integration into enterprise workflows.

Finance leaders are increasingly adopting agentic AI for accounts payable automation, driving an 80% ROI compared to general AI’s 67%. These autonomous systems handle complex tasks with minimal human input, necessitating a re-evaluation of automation budgets. While generative AI summarizes, agentic AI executes workflows, offering tangible business returns. Accounts payable serves as a key proving ground due to its structured nature. Organizations are deciding whether to buy or build AI solutions based on whether the function is a common process or a unique differentiator. Robust governance frameworks are crucial for safe and effective deployment, treating AI agents like junior colleagues with human oversight. Ultimately, purposeful implementation, not just experimentation, is key to realizing transformative results.

Goldman Sachs is partnering with Anthropic to deploy AI agents, powered by Claude, to automate roles in trade accounting and client onboarding. These “digital co-workers” aim to streamline complex, process-intensive tasks. This initiative aligns with the bank’s broader generative AI strategy and may lead to a constraint on headcount growth. The AI’s capabilities have surprised developers, showing proficiency beyond coding in areas like accounting and compliance. While job losses aren’t immediate, the bank sees AI as a way to increase capacity and efficiency.