SpaceX Breaks Every IPO Record on Wall Street Debut
SpaceX, trading under the ticker SPCX on Nasdaq, closed its first day of public trading at $161 per share, surging 19% above its $135 IPO price. The aerospace and AI compute giant raised $75 billion in the offering, implying a market capitalization of approximately $1.77 trillion — the largest initial public offering in Wall Street history.
The stock fluctuated between $149 and $177 during the session, reflecting intense investor appetite. A dual bell-ringing ceremony took place at Nasdaq MarketSite in Times Square and SpaceX's Starbase facility in Texas, with COO Gwynne Shotwell presiding over the company's transition to public markets after 24 years as a private entity.
The IPO carries significant implications for the AI industry. Google has already signed a deal to pay SpaceX $920 million per month from October 2026 through June 2029 for access to approximately 110,000 NVIDIA GPUs and related compute infrastructure. With both Anthropic (valued at $965 billion) and OpenAI (targeting ~$850 billion) having filed their own S-1 documents in the past two weeks, the second half of 2026 is shaping up to be the most consequential period for AI-related public offerings in history.
Sources: CNBC, Nasdaq, TechCrunch
WWDC 2026 Wraps Up: Apple Rebuilds Siri From the Ground Up
Apple's Worldwide Developers Conference closed its final developer sessions on June 12, capping a week that fundamentally reshaped the company's AI strategy. The headline announcement: Siri AI, a complete rebuild of Apple's virtual assistant powered by Google's Gemini models under the hood.
The new Siri lives inside a dedicated app where users can revisit past conversations and planning sessions. It can see what's on your screen, carry on extended multi-turn conversations, automate tasks across different apps, and respond with more natural, expressive speech — with customizable voice pacing and tone.
Rather than building a standalone chatbot, Apple is embedding Apple Intelligence directly into the apps people already use — from managing schedules and organizing photos to handling phone calls and automating workflows. The most powerful on-device Siri AI features will require devices with at least 12GB of unified memory, including iPhone 17 Pro, iPad with M4 or later, and Mac with M3 or later.
The public beta is expected in July, with the full consumer release in September alongside iOS 27.
Sources: Apple Newsroom, TechCrunch, Tom's Guide
Google's Gemini 3.5 Pro Approaches General Availability
After shipping Gemini 3.5 Flash at Google I/O on May 19 — already the default model in the Gemini app and AI Mode in Search — Google is now working toward the general availability of its more powerful sibling, Gemini 3.5 Pro.
During the I/O keynote, Sundar Pichai told the audience to "give us until next month," pointing to a June release window. The model is currently in limited Vertex AI preview and promises a 2-million-token context window, Deep Think reasoning capabilities, and frontier multimodal performance.
While no exact date has been confirmed, the clock is ticking on Pichai's promise. If it lands this month, Gemini 3.5 Pro would arrive at a moment when competitors are simultaneously distracted by IPO preparations — potentially giving Google a window to capture developer mindshare with raw technical capability rather than financial headlines.
Sources: Tech Times, WaveSpeed
Colorado's AI Regulation Takes Effect in 17 Days
While federal lawmakers debate the Great American AI Act — the first comprehensive federal AI framework introduced on June 4 — Colorado is about to become the regulatory pioneer. The state's comprehensive AI legislation takes effect on June 30, 2026, creating the first enforceable state-level framework for AI governance in the United States.
The law targets developers and deployers of high-risk AI systems making consequential decisions in areas including education, employment, government services, healthcare, housing, insurance, and legal services. It requires:
- Risk management programs for high-risk AI applications
- Consumer disclosures when AI is used in consequential decisions
- Algorithmic discrimination mitigation measures
The tension between state and federal approaches is real: the Great American AI Act proposes a three-year preemption of state AI laws, which would effectively freeze Colorado's legislation if passed. The global regulatory landscape remains fragmented, with the EU enforcing its risk-based AI Act, the UK relying on principle-led oversight, and China maintaining tight state control.
Sources: Cooley, McDonald Hopkins