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The High-Stakes Confrontation The lawsuit between Elon Musk and OpenAI, led by Sam Altman, has taken a dramatic turn. Musk spent three days on the witness stand, and the case is becoming increasingly complex. Emails, texts, and Musk's own tweets are being used as evidence, with more witnesses, including Altman, set to testify. Musk's Core Argument Musk's primary argument is that Altman and OpenAI betrayed the company's original mission as a nonprofit organization "for the benefit of humanity" by converting it to a for-profit model. Musk emphasized in the courtroom, "You can't steal a charity." The Implications and Future Proceedings The case has significant implications for the future of AI development and the ethics surrounding for-profit models in tech. More witnesses, including Altman, are expected to take the stand. The case may set a precedent for how nonprofit missions are upheld in the tech industry. Related Discussions and Resources Listeners can tune into TechCrunch's Equity podcast for further discussions on the case, including: Analysis of what's at stake in the courtroom. Interviews with experts and witnesses. Coverage of Big Tech's earnings and the AI spending era. The Equity podcast is available on YouTube, Apple Podcasts, Overcast, Spotify, X, and Threads (@EquityPod).

Quarterly Earnings Reveal AI‑Powered Growth Across Magnificent SevenThe simultaneous release of earnings by Amazon, Alphabet, Microsoft and Meta offered a rare snapshot of how the sector is navigating the AI boom. Despite lingering concerns about an AI bubble, the results largely beat Wall Street forecasts and reinforced the narrative that AI‑driven cloud services are now a core revenue engine.Cloud Revenue Surges Drive Double‑Digit Gains for Amazon, Alphabet, MicrosoftAll three cloud‑focused firms posted double‑digit year‑on‑year growth:Amazon – AWS revenue up >10%.Alphabet – Google Cloud up 63% YoY.Microsoft – Azure growth in the high‑double‑digit range.Meta, which does not sell cloud infrastructure, missed expectations, highlighting the divergent impact of AI across business models.Financial Highlights: Revenue, EPS, and Capital‑Spending OutlookMeta: Revenue $56.31 bn (vs $55.45 bn est.), EPS $2.78, capital‑expenditure guidance raised to $125‑$145 bn.Microsoft: EPS $4.27 (vs $4.06 est.), strong cloud margin contribution.Amazon: Revenue $181.5 bn, EPS $2.78 (vs $1.64 est.).Alphabet: Revenue $109.9 bn (vs $107.2 bn est.), EPS $5.11.Combined AI infrastructure spend projected at $650 bn in 2026 across the four firms.Implications for the S&P; 500 and Investor Sentiment Amid AI HypeThe four companies together represent over 30% of the S&P; 500 market cap, so their upbeat results helped steady the broader market. Investors are now weighing the upside of massive AI‑related capex against the risk of over‑investment, especially after Meta’s after‑hours share drop of >5% following its higher spend guidance.Outlook: How AI Spending May Shape Tech Valuations in 2026‑27Analysts expect the AI‑driven cloud surge to continue, with capital‑expenditure plans ranging from $180‑$190 bn at Alphabet to $200 bn at Amazon. However, the ongoing wave of layoffs—over 92,000 tech jobs cut globally this year—suggests firms will seek efficiency gains as AI automates routine tasks. The balance between aggressive AI investment and cost‑control will likely dictate valuation trends for the Magnificent Seven through 2027.

Meta’s $4 B Quarterly Hit in Reality LabsWhen Meta released its Q1 2026 earnings on Wednesday, the headline number that caught attention was a $4 billion loss posted by Reality Labs, the unit behind its AR glasses, VR headsets, and related software.Reality Labs’ Persistent Quarterly DeficitsOver the past 21 quarters dating back to 2021, Reality Labs has accumulated $83.5 billion in losses, averaging roughly $4 billion per quarter. This pattern underscores that heavy write‑downs have become the norm rather than the exception for the division.21 quarters of losses since 2021Total cumulative loss: $83.5 billionAverage quarterly loss: $4 billionFinancial Scale: $83.5 B Cumulative Losses and 2026 AI Capex ForecastDespite the Reality Labs drain, Meta posted a net income of $26.8 billion for Q1 2026, up 61% YoY, with revenue climbing to $56.3 billion (+33%). The company now projects AI‑related capital expenditures of between $125 billion and $145 billion for 2026, far exceeding analyst expectations.Q1 2026 net income: $26.8 billionRevenue: $56.3 billion2026 AI capex outlook: $125‑$145 billionStrategic Shift: From Metaverse to AI‑Heavy InvestmentCEO Mark Zuckerberg emphasized a pivot away from the “metaverse” that failed to gain traction, redirecting resources toward AI. The firm hired over 50 AI researchers and engineers last year and recently launched the revamped model Muse Spark. However, the CFO warned that compute needs have been consistently underestimated, hinting at even higher future spend.AI hiring spree: 50+ researchers/engineersNew model released: Muse SparkInvestor concern: No 2027 capex guidanceOutlook: Uncertain Capex Path and Investor SentimentInvestors reacted cautiously, with Meta’s stock slipping more than 5% in after‑hours trading. The lack of a clear 2027 capex roadmap and ongoing underestimation of compute demand leave the market questioning the sustainability of Meta’s aggressive AI spending.

Massive Workforce Cuts at Meta and Microsoft Amid AI Spending SurgeIn a coordinated wave of cost‑cutting, Meta and Microsoft announced layoffs and voluntary retirement offers affecting thousands of employees as they pour unprecedented capital into artificial intelligence. Details of the Layoff Plans and Voluntary Retirement OffersMeta: On 20 May 2026 the company disclosed a 10% reduction—just under 8,000 positions—and the closure of about 6,000 open roles.Microsoft: Employees were told that a voluntary retirement program targets roughly 7% of its American workforce (about 8,000 staff) whose combined age and tenure total 70 or more years.Both firms emphasized generous severance packages and framed the cuts as a way to “offset the other investments we’re making.” Financial Scale of AI Investments and Workforce ReductionsMeta plans to spend between $115 bn and $135 bn on AI in the coming fiscal year, nearly double its prior year’s capital expenditure.Microsoft previously forecast a $100 bn AI infrastructure spend for FY2026; analysts now project the figure could rise to $110‑$120 bn.Both companies cite AI as a productivity engine: Satya Nadella claims AI now handles up to 30% of Microsoft’s coding work, while Mark Zuckerberg predicts half of Meta’s development could be AI‑driven within a year. Implications for the Tech Labor Market and AI AdoptionThe cuts intensify concerns among tech workers that AI will replace white‑collar roles within the next 12‑18 months, as echoed by Mustafa Suleyman.Employee data‑capture initiatives—such as Meta’s mouse‑movement and keystroke logging—highlight how staff are becoming training data for AI models.Other AI‑heavy firms (Block, Amazon, Oracle) have similarly trimmed staff, suggesting a broader industry pattern of “AI‑first” restructuring. What the Next Year May Hold for AI‑Driven RestructuringContinued AI budget growth could trigger further voluntary buyouts or targeted layoffs, especially in roles deemed automatable.Companies may increasingly tie severance and retirement incentives to tenure and age metrics, as seen at Microsoft.Productivity gains reported by executives could accelerate AI integration, potentially reshaping hiring standards and skill requirements across the sector.

Blue Owl Capital, a leading private credit investment firm, has imposed a cap on withdrawals after investors attempted to redeem $5.4bn from two of its key funds. This move comes as a sign of dwindling confidence in the unregulated lending market.The New York-based firm revealed in filings that investors sought to withdraw 21.9% of the $20bn Credit Income Corp fund and 40.7% of its $3bn tech lending fund between January and March.The surge in redemption requests is attributed to growing concerns over potentially risky loans arranged by private credit firms, which operate outside the traditional regulated banking system. These firms are seen as particularly exposed to the AI spending boom.To manage the outflow, Blue Owl will limit withdrawals to 5% of the value of each fund per quarter. The firm stated that this decision was made to balance the interests of both withdrawing and remaining shareholders.Despite the increase in withdrawal requests, Blue Owl emphasized that underlying credit fundamentals across its portfolio have remained resilient. The firm attributed the surge in withdrawals to a period of heightened negative sentiment toward the asset class.The private credit industry has faced growing scrutiny over potentially weak lending standards, following a series of company failures, including Tricolor and First Brands. Regulators and industry experts have warned of potential ripple effects that could impact high street banks.The Bank of England's governor, Andrew Bailey, has cautioned against dismissing recent private credit failures as isolated incidents, citing concerns over transparency and potential risks across the sector.