Welcome to the AI Insider’s The Week Ahead in AI. See the key developments and events we’re watching July 13–July 19, 2025.
Weekend AI News Briefs
Indeed and GlassDoor Layoffs as AI Use Expands
Recruit Holdings, parent of Indeed and Glassdoor, is cutting about 1,300 jobs—roughly 6% of its workforce—as it shifts toward AI-driven recruitment processes and consolidates Glassdoor operations into Indeed. The move reflects the company’s broader strategy to reduce manual labor in hiring, with AI now generating one-third of its programming code and expected to account for half soon. (CBS News)
YouTube Cracking Down on ‘Repetitive’ and ‘Inauthentic’ Videos Amid AI Concerns
YouTube will update its Partner Program monetization guidelines on July 15, 2025, to better identify and address mass-produced and repetitious content. The changes aim to refine the platform’s definition of “inauthentic” material and uphold its longstanding requirement for original, authentic uploads. (TechCrunch)
Microsoft Credits AI for $500M Call Center Savings Amid Wave of Layoffs
Microsoft saved over $500 million last year in call center operations by deploying AI tools across sales, support, and engineering, according to internal remarks reported by Bloomberg. Despite strong profits, the company has cut 15,000 jobs this year while redirecting $80 billion toward AI infrastructure investment for 2025, signaling a focus on automation over workforce expansion. (AI Insider)
Upcoming Earnings Reports
July 14, Simulations Plus provides advanced biosimulation software and consulting services to the biopharma sector, supporting drug discovery, development, and commercialization through AI, machine learning, and pharmacokinetic modeling tools. Its technologies are licensed by major pharmaceutical firms, biotech companies, and regulatory agencies worldwide. (Simulations Plus)
Taiwan Semiconductor Manufacturing Company (TSMC)
July 17, Taiwan Semiconductor Manufacturing Company (TSMC) is set to release its earnings report, offering critical data on chip production and revenue performance. As a leading semiconductor manufacturer, TSMC’s results will serve as a key indicator of broader trends in the global chip market.. (AI Invest)
AI Conferences & Events
GenAI Week Silicon Valley 2025
July 13–17, Santa Clara Convention Center, Santa Clara, California. This major generative AI event expects over 30,000 attendees, 400+ speakers, 300+ exhibitors, and 1,000+ venture capitalists. It focuses on networking, knowledge-sharing, and showcasing advancements in AI, including robotics demonstrations. (GenAI Week SV 2025)
Future Creation Robot Week (World Robot Summit)
July 13–19, Expo 2025, Osaka, Japan. Organized with support from NEDO (New Energy and Industrial Technology Development Organization), this international event features teams competing in the World Robot Summit, showcasing cutting-edge robotics technologies. It aims to engage audiences with interactive robot battles and demonstrations, highlighting innovations in the field. (World Robot Summit)
July 18-20, Kunming, China, the 7th International Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2025) will take place July 18-20, 2025, in Kunming, China, focusing on topics such as neural networks, speech recognition, biometrics, and human-computer interaction. The event aims to facilitate knowledge exchange and networking among researchers and professionals in related fields. (MLPRIS)
AI Policy & Government Events
Malaysia Says Trade Permit Required for AI Chips of U.S. Origin
Malaysia has imposed immediate trade permit requirements on the export, transshipment, and transit of high-performance AI chips of U.S. origin, aiming to close regulatory gaps amid a review of its strategic items list. The move follows U.S. pressure to restrict chip flows to China and underscores Malaysia’s intent to prevent circumvention of export controls and illicit trade. (Reuters)
AI Research
One Small Step For AIs in Space: LLMs Take the Helm in Simulated Space Ops
MIT and Universidad Politécnica de Madrid researchers showed that large language models (LLMs) like GPT-3.5 and LLaMA-3 can autonomously control spacecraft in simulated orbital missions using natural language commands. The study demonstrated LLM-based agents outperform traditional methods in maneuvering tasks, positioning LLMs as a promising tool for autonomous space operations despite challenges like latency and hallucinations. (AI Insider)
