Spending on AI technology is soaring alongside rapid consumer adoption, yet concerns are emerging. High-profile players like Elon Musk's SpaceX, which not only builds rockets but also develops AI models, recently announced plans to seek a $1.77tn valuation on the US stock market. At the same time, Anthropic, creator of the Claude chatbot, has filed for an IPO, with OpenAI likely to follow suit. This wave of enthusiasm coincides with massive investment in infrastructure like data centers, as businesses look to make AI investments pay off. Here are six essential charts that illustrate where the AI boom stands and how it has evolved.

President Donald Trump revealed that his administration is negotiating potential deals involving an equity stake in OpenAI. The goal of these discussions is to ensure that the American public can share in the gains from advancements in artificial intelligence technology.

Maroš Šefčovič, EU trade commissioner, has suggested introducing a "diversification instrument" to lessen Europe's reliance on single suppliers for critical chips and rare earths. This proposal, presented at the European Policy Center’s Brussels Economic Security Forum, would require companies in key sectors to secure supplies from at least three different sources to enhance economic security.

For the past three years, Microsoft’s AI narrative has been tightly linked to its partnership with OpenAI, powered by over $13 billion in investments that brought cutting-edge AI capabilities to Microsoft’s enterprise products. However, Mustafa Suleyman, CEO of Microsoft AI, has announced a strategic shift. A renegotiated contract now allows Microsoft’s AI division to independently develop advanced AI, including superintelligence, using its own researchers, data, and custom hardware. This move marks the launch of Microsoft’s own in-house AI model family, MAI, which encompasses seven new models focused on reasoning, code generation, image creation, transcription, and voice synthesis. These innovations emphasize training on high-quality, commercially licensed data rather than on third-party models. Suleyman highlighted the company's long-term vision to not only collaborate with OpenAI but also build frontier AI models internally, ensuring Microsoft can maintain leadership in AI by 2030. New capabilities like Frontier Tuning enable businesses to tailor AI models with their proprietary data securely, enhancing efficiency and performance in real-world tasks. Microsoft is also investing heavily in custom AI chips, such as the Maia 200, which improve cost-efficiency significantly. This comprehensive strategy aims to create a sustainable competitive advantage through a vertically integrated AI stack that blends superior data curation, computing power, and enterprise integration. Suleyman underlined the importance of quality data and continuous model improvement, rejecting the notion that AI models are becoming commodities. Ultimately, Microsoft envisions a future with "Humanist Superintelligence" — AI systems designed to augment, not replace, human endeavors, driving a decade-long commitment to innovation in AI technology.

By Patrick Ip
Legal technology investment continues to surge, with a significant chunk focused on plaintiff-side AI applications. Last year, Goldman Sachs noted that 44% of legal tasks may be automated in the future, fueling enthusiasm for AI in legal software. Companies like EvenUp, Eve, Supio, and Darrow have collectively raised around $682 million, representing 71% of disclosed funding in legal AI. Plaintiff firms benefit from standardized workflows in client intake and case evaluation, making AI adoption more straightforward.

However, the defense side remains relatively unexplored despite its vast potential. Corporate legal teams managing extensive litigation portfolios still depend on fragmented tools such as spreadsheets and emails, lacking comprehensive software solutions that provide portfolio-wide insights into case risks, settlements, and costs. The complexity of varied workflows and longer sales cycles due to multiple decision-makers have slowed investment.

Yet, growing pressure and advancements in AI are beginning to address these challenges by enabling better risk assessment, benchmarking, and outcome analysis. For investors, this creates an appealing opportunity to back technology that can transform defense-side legal operations and build proprietary data assets. While no dominant venture-backed platform has emerged yet for defense litigation intelligence, this sector could be the next major frontier for legal AI innovation and investment.

Patrick Ip is the CEO and co-founder of Theo Ai, focusing on AI-driven litigation intelligence for defense teams and law firms.

Supabase, a standout example of an open source project evolving into a rapidly expanding company, has seen remarkable growth partly due to its strategic use of AI tools like Claude, Codex, and other vibe-coding platforms that enhance development efficiency.

Anthropic has been expanding rapidly, with annualized revenue soaring past $47 billion as of May, a significant increase from about $9 billion at the close of 2025. However, this impressive growth now faces a critical challenge that will test the company’s future trajectory.

By April, Uber had already exhausted its entire AI coding budget for 2026. Microsoft suspended developer access to Claude Code six months after initially providing it. Reports indicate one company accumulated a $500 million bill in a single month due to the absence of usage limits. Additionally, a Priceline employee shared that routine contract renewals for Cursor required multiple iterations due to escalating costs. These incidents highlight the urgent need for a standards body to help the industry navigate and explain the rapidly escalating AI expenses.

Just six weeks ago, AirTrunk had no presence in India. Today, the Blackstone-supported hyperscale data center company revealed plans to invest over $30 billion (INR 3,000 billion) in the country by 2030. The initiative aims to develop more than 5 gigawatts of digital infrastructure spanning multiple states and union territories, positioning India as a key hub for AI-driven technological growth.

Microsoft’s AI product sales are falling short, and GitHub has faced ongoing challenges. WIRED discussed with VP Scott Hanselman whether the tech giant is playing catch-up in the rapidly evolving market.