Artificial Intelligence

The private equity giant is capitalizing on AI infrastructure demand through public markets.

Network equipment demand surges as hyperscalers build out data center infrastructure.

The three companies controlling 90% of global memory supply just discovered what monopoly pricing looks like. Micron's shares jumped 38% last week after executives said demand is "nowhere close" to matching supply, while Samsung reported a 90% price increase in Q1 alone. DRAM contract prices are projected to surge 63% this quarter, the steepest jump in a decade. The math is brutal: AI servers need 8-10 times more memory than traditional servers, but new fabs won't come online until 2028. Apple is already warning about margin pressure, Sony raised PlayStation prices by $150, and smartphone shipments are forecast to drop 31% as manufacturers ration chips for higher-margin AI applications.

Leaked renders show Sony abandoning the vertical camera strip it's used since 2020 for a square camera island on the upcoming Xperia 1 VIII. The triple 48MP Zeiss setup positions telephoto, wide, and ultrawide cameras in an OnePlus-inspired layout, breaking years of design conservatism. The move signals desperation: Sony commands less than 1% of global smartphone share despite premium pricing above £1,000. The redesign accommodates larger camera sensors for better low-light performance, but leaked images show awkwardly thick bezels and questionable camera placement. With 5G, headphone jack, and 120Hz display, Sony is throwing everything at a market that has largely moved on. The Xperia series needs more than new camera housing to reverse years of declining relevance.

Gautam Adani is building the world's largest renewable-powered AI infrastructure network. His $100 billion commitment targets 5 GW of data centers by 2035, powered entirely by the Khavda project's 30 GW capacity. Adani Energy Solutions shares trade at 211x earnings, reflecting the AI proxy mania that has gripped Indian markets. The integrated play spanning ports, power, and data centers creates a $250 billion ecosystem that could reshape India's position in the global AI race. The real test comes when hyperscale loads meet the reality of 100 percent renewable power promises.

ChatGPT keeps telling Chinese users "我会稳稳地接住你" (I will catch you steadily) in wildly inappropriate contexts like math problems and coding help. The phrase has become a viral meme, highlighting how reinforcement learning creates linguistic tics that sound desperate and unnatural to native speakers. While English users get "goblin mania" and em-dash overuse, Chinese speakers get awkward mistranslations of "I've got you." For OpenAI's expansion into the 1.4 billion-person Chinese market, these cultural misfires risk user fatigue and boost local competitors like Baidu's Ernie that understand context.

Jerry Tworek left OpenAI six weeks ago and is already seeking $500 million to $1 billion in funding at a $4 billion valuation for Core Automation. The former senior researcher is developing "a new type of AI" with no product, no revenue, and barely enough time to incorporate. The valuation reflects either exceptional investor confidence in OpenAI alumni or dangerous FOMO in AI funding. If successful, it signals that senior researchers can command unicorn valuations immediately upon departure, accelerating the brain drain from established labs.

James VandeHei Jr., a 21-year-old Division I soccer player, launched an app yesterday using no-code AI tools after his media mogul father's January AI letter sparked his interest. The High Point University student joins a wave of non-technical founders building viable products, from high schoolers creating dermatology apps to analysts launching $1 million Excel tools. The democratization of software development through AI could reshape the $500 billion development market, though early social media traction claims remain unverified. Success stories like Formula Bot's $26,000 monthly revenue prove the model works, but oversaturation looms as thousands of similar no-code apps flood app stores.

CoreWeave's AI infrastructure boom hit reality with a $452 million Q4 loss, nearly double Wall Street's $0.49 per share estimate. The company faces securities class action lawsuits alleging it hid delays and overstated scaling capabilities. With $14 billion in debt, rising interest costs, and dependence on third-party data center developers, CoreWeave's $55.6 billion backlog looks increasingly precarious. Shares remain 189 percent above fair value estimates despite the legal overhang, suggesting the AI infrastructure bubble has further to deflate.

Samsung became Korea's first trillion-dollar company on February 26, briefly ranking 12th globally before shedding $110 billion in market value within days of the milestone. The surge to 218,000 KRW per share was driven by AI chip demand and analysts predicting 10x profit growth by 2028, but the rapid retreat exposes the volatility beneath AI infrastructure bets. Samsung's foundry secured Apple and Tesla deals for 2nm processes while leading high-bandwidth memory for AI servers, yet remains half TSMC's valuation despite similar positioning. The collapse highlights how quickly AI momentum can reverse when expectations meet reality.

Google is negotiating omnibus agreements with Blackstone, KKR, and EQT to distribute AI models across their portfolio companies, turning private equity into the most powerful distribution channel for enterprise AI. The deals would standardise access to Gemini and other Google models across hundreds of mid-market companies, bypassing traditional enterprise sales cycles. Blackstone launched a dedicated AI division while Anthropic closed a $1.5 billion joint venture with PE partners to provide competing AI tooling. With Blackstone and KKR managing over $2 trillion combined, these partnerships could determine which AI models become the default for middle America's businesses.

Meta is developing a consumer AI agent codenamed 'Hatch' based on its internal OpenClaw system, slated for testing by June 2025 as Zuckerberg pushes for products that justify the company's $40 billion annual AI spending. A separate agentic shopping tool targets Instagram integration for launch later this year, potentially transforming the platform's $100 billion-plus commerce ecosystem. The moves position Meta's 3 billion users as the testing ground for autonomous AI agents that could book travel, make purchases, or manage workflows without human intervention. Hatch could become the first mainstream consumer agent if Meta's scale advantage translates to adoption.

OpenAI president Greg Brockman told a San Francisco federal court that Elon Musk demanded 62.5% control of the company in 2017, prompting a confrontation where Brockman feared physical attack. The testimony came during Musk's $157 billion lawsuit seeking to unwind OpenAI's for-profit structure, with Brockman describing Musk's anger after the board rejected his control bid. Text messages showed Musk threatening that Brockman and Sam Altman would become 'the most hated men in America' if settlement talks failed. The case exposes the power struggle that split Silicon Valley's most influential AI founders just as the technology reaches commercial scale.

Major PE firms used the Milken Institute conference to position AI as the solution to overvalued software investments made during the 2020-2022 remote-work boom, with Ares, Blackstone, and Blue Owl deploying proprietary scorecards to reassure investors about portfolio protection. Private credit firms face concentrated exposure to PE-backed software companies just as AI threatens to cannibalise their revenue streams, triggering redemption pressure at retail-focused business development companies. IBM's $4.5 billion in productivity gains from AI across 400 workflows serves as the proof-of-concept PE firms cite for portfolio-wide deployment. The narrative masks deeper anxiety about whether AI will enhance software company value or destroy it entirely.

Business leaders embrace a minimalist framework: identify your three most important tasks, three things that make no sense, and three areas where AI could 10x your output.

Brent crude trades between $93-$103.50 per barrel in what Pepperstone's Dilin Wu calls a consolidation pointing to the upside. Korean and Japanese equities plunged over 10% from February highs as energy costs cascade through Asian supply chains. Oil's path higher reflects structural damage rather than headline risk, with Hormuz disruptions potentially cutting global supply by 20%. Asian markets bear 75% of that exposure compared to minimal US risk at 4%. Wu remains cautiously optimistic despite persistent geopolitical uncertainties around Trump-Iran negotiations.

The Home Secretary authorized 40 additional live facial recognition vans nationwide following successful Metropolitan Police pilots that proved publicly palatable through careful communication. UK policing undergoes its most significant modernization in 200 years via the National Centre for AI in Policing and upcoming National Police Service merger. Microsoft provides Azure cloud infrastructure while the AI Covenant mandates transparency and human oversight. The scale-up signals multi-billion procurement opportunities in cloud and analytics, though pending LFR legislation could reshape deployment. Algorithms undergo independent testing, but critics question transparency gaps in self-regulation approaches.

Lawrence Wong will personally chair Singapore's new National AI Council, abandoning the usual technocrat delegation for direct political oversight. The move follows Wong's warning of "jobless growth" from AI disruption, with Singapore now offering six months of free premium AI tools to workers taking reskilling courses. Wong's hands-on approach signals Singapore sees AI as an existential competitive advantage, not just another technology upgrade. The city-state already hosts 150+ AI R&D teams from global firms, but direct PM leadership suggests the next phase requires political muscle, not just technical competence.

The collaboration software maker beat revenue estimates with $1.79 billion in Q3, up 32% year-over-year, and raised full-year growth forecasts from 22% to 24%. Rovo, Atlassian's AI search agent, now has over 5 million monthly active users and is driving enterprise sales that had been stagnating. The stock had fallen 57% year-to-date before this jump, making it one of the more dramatic AI validation stories. The question now is whether other software companies can replicate Atlassian's model of using AI to accelerate existing workflows rather than replace them entirely.

The arithmetic is brutal: Alphabet, Amazon, Meta, and Microsoft will collectively burn through $650 billion in 2026, mostly on AI infrastructure that generates no immediate revenue. Meta hiked its capex outlook to $145 billion yesterday and promptly shed $950 billion in combined market value across the four companies. Microsoft reported a 66% quarterly jump in spending, while Amazon plans $200 billion on data centers. The scale dwarfs Belgium's GDP and makes 21 other major US firms look quaint with their combined $180 billion. Investors are finally asking the obvious question: where are the returns?