Uber burns through its entire 2026 AI coding budget in just four months, with COO Andrew Macdonald openly questioning whether the skyrocketing spending is actually delivering value, admitting a clear link between AI tool usage and meaningful consumer features has yet to be established.
A groundbreaking new study of over 21,000 U.S. companies reveals that heavy AI adopters are actually growing their workforces by 10%, with entry-level hiring surging 12%, directly countering widespread fears that artificial intelligence is destroying jobs.
Woodside Energy is deploying 50 AI agents across its operations, scaling toward a fully autonomous enterprise by combining decades of industrial data with agentic AI tools, strict governance, and a 'think big, prototype small, scale fast' strategy to optimize LNG operations and reduce energy costs.
Microsoft launches Microsoft Frontier Company, a $2.5 billion AI business unit deploying 6,000 experts to co-design enterprise AI systems, promising measurable outcomes while guaranteeing customer data is never used to train competing models.
A custom fine-tuned AI model developed by Bridgewater AIA Labs and Thinking Machines Lab outperforms GPT, Claude, and Gemini on financial tasks, achieving 84.7% accuracy versus frontier models' ~50%, cutting errors by 30% and slashing inference costs by 13.8x.
AI automation of real freelance work has quadrupled in under eight months, with the top model now completing 16.1% of professional projects, up from a 2.5% baseline, according to the newly released Remote Labor Index.
AWS launches a $1 billion Forward Deployed Engineering initiative, embedding thousands of AI experts directly within customer teams to co-build and deploy agentic AI solutions in days rather than months, with major partners like the NFL, Southwest Airlines, and the NBA already seeing rapid results.
NumPy v2.5.0 launches as the go-to open-source scientific computing package for Python, boasting over 32,400 GitHub stars, 12,500 forks, and 1,885 contributors, offering powerful tools including N-dimensional arrays, linear algebra, Fourier transforms, and Fortran integration.
A new national survey exposes a massive workplace AI gap, revealing that 76% of U.S. workers are bringing their own AI tools to work as employers leave them without proper training, guidance, or resources — raising serious concerns about data privacy and accountability.
An open-source AI investing framework called AI Berkshire, built on Claude Code and modeled after legendary investors like Warren Buffett, claims a verified 69% return in 2024 and 66% year-to-date in 2025, outpacing the S&P 500 by over 46 percentage points using multi-agent analysis and 16 specialized AI skills.