Intuit, facing intensified AI competition and a tech sector downturn, announced significant restructuring, including laying off over 3,000 employees (17% of its workforce) and incurring $300-$340 million in charges. The company aims to reduce complexity and increase velocity for long-term growth, mirroring widespread tech layoffs. Despite a year-to-date stock drop, Intuit raised its 2026 forecast, anticipating adjusted EPS of $23.80-$23.85. The move involves office closures and operational streamlining.

SpaceX is reportedly preparing for a monumental IPO, signaling a major milestone for the private space industry. Elon Musk’s company, a leader in rocketry and satellite technology with its Falcon rockets and Starlink constellation, aims to raise substantial capital for ambitious projects like Starship. While offering a unique investment opportunity in the burgeoning space economy, investors must weigh significant risks, including operational challenges and Starlink’s complex profitability path, against the company’s proven innovation and transformative potential.

Jeff Bezos views space-based data centers as realistic but anticipates timelines may be ambitious. He highlights challenges in energy efficiency, semiconductor costs, and launch expenses. SpaceX and Blue Origin are actively pursuing this vision, with Blue Origin planning a large satellite constellation. Bezos believes space will become a massive industry, urging against dismissing these advancements as mere science fiction.

Jeff Bezos views the current AI boom with optimism, despite potential bubble concerns. He believes intense capital deployment, even with some missteps, is crucial for technological progress and societal benefit. Bezos draws parallels to past industrial cycles, like the 1990s biotech bubble, where initial speculation ultimately fueled significant advancements. His own ventures, including the new Project Prometheus, are heavily invested in AI, aiming to develop transformative AI models for complex physical tasks and engineering.

Fintech firm Mercury has secured $200 million in Series D funding, valuing the company at $5.2 billion, a 49% increase in 14 months. Led by TCV and supported by existing investors like Sequoia Capital, Mercury serves over 300,000 startups. The company has achieved profitability for four years, with annualized revenue reaching $650 million. Mercury is also pursuing a federal banking charter to enhance its offerings and financial operations, aiming for public trading rather than acquisition.

Nvidia CEO Jensen Huang faces pressure on his earnings call to address Amazon and Alphabet’s growing custom AI chip development. Analysts urge him to adopt an offensive strategy, highlighting strong demand for Nvidia chips from a broad customer base, even from these hyperscalers. While acknowledging these competitors’ progress, Huang should project confidence in Nvidia’s market leadership and continued innovation to navigate the evolving AI hardware landscape.

Shifting interest rates are significantly impacting markets, causing bond yields to surge and equity markets to sell off. In retail, Target reported a strong first quarter, exceeding expectations with a 5.6% increase in same-store sales. Google is advancing its AI capabilities with Gemini 3.5 Flash and new AI agents. Stellantis CEO Antonio Filosa is preparing to unveil a turnaround plan for the automaker. The job market sees the rise of “doomjobbing,” an anxious mass-application strategy. Finally, geopolitical tensions remain high as former President Trump revealed a near-strike authorization against Iran.

The traditional university degree path is declining as skilled trades see significant wage growth, with some sectors up 30%. Driven by data center expansion for AI, demand for skilled trades like robotic technicians and HVAC engineers is soaring. AI also offers a wage premium for those with related skills, while uniquely human abilities like emotional intelligence and creativity are increasingly valued.

Alibaba is advancing its AI ecosystem with the new Zhenwu M890 chip, designed for AI agents requiring extensive memory and inter-model communication. This hardware development is part of a multi-year roadmap and is complemented by an advanced large language model, Qwen 3.7-Max. This integrated strategy aims for self-sufficiency in AI infrastructure, reflecting a shift from procurement to long-term capability building in semiconductor development.

Singapore is bolstering its ambition to become a global AI hub through major partnerships with Google and OpenAI. OpenAI will establish its first lab outside the US in Singapore, creating over 200 jobs and investing S$300 million to democratize AI. Google will collaborate on societal challenges, workforce upskilling, and AI safety. These initiatives build on Singapore’s national AI strategy and attract significant investment, solidifying its position as a leading AI destination.