2026.19: Earning & Spending

2026-05-08 · Source: Stratechery by Ben Thompson · Field: Business & Management — Corporate Strategy & Leadership, Entrepreneurship & Start-ups, Marketing, Branding & Advertising · Depth: Intermediate, long

Summary

The "This Week in Stratechery" brief highlights key insights from Big Tech's Q1 earnings, focusing on Apple, Amazon, Meta, Google, and Microsoft. These companies are investing massive sums into AI, with Q1 CapEx exceeding three times that of the Manhattan Project. Google's earnings were well-received, while Meta's, despite strong core business, faced negative market reaction due to AI investment concerns. Microsoft is shifting to an agentic business model, and Apple is dealing with memory and chip shortages impacting Mac production. The brief also features an interview with Joanna Stern on her book about living with AI, discussing its impact on careers and medicine, and the current limits of LLMs. Additionally, it covers NBA playoff analysis, including the Boston Celtics' early elimination.

Key takeaway

For AI Product Managers evaluating market sentiment and communication strategies, recognize that public perception is currently skewed by negative hypotheticals and media narratives. Focus your messaging on concrete, positive applications and actively counter misinformation about AI's environmental impact, rather than engaging in speculative "doomer" scenarios that erode trust and adoption. Your efforts should highlight real-world benefits to overcome the prevailing negativity.

Key insights

Big Tech's massive AI investments are driving divergent market reactions and strategic shifts.

Principles

• Long-term infrastructure investment underpins future AI strategy.
• Public perception of AI is heavily influenced by negative hypotheticals.
• Tech media's relentless negativity shapes AI discourse.

Method

AI companies should aggressively counter misinformation regarding environmental impact and focus on demonstrating tangible, positive applications rather than engaging in doomsday narratives.

In practice

• Monitor Big Tech CapEx for AI investment trends.
• Analyze market reactions to AI spending vs. core business performance.
• Consider AI's potential for job disruption in entry-level roles.

Topics

• Big Tech Earnings
• AI Investment Strategy
• AI Public Perception
• AI Misinformation
• Large Language Models

Best for: Director of AI/ML, AI Product Manager, Investor

Related on AIssential

• Tensions mount over AI Consequences on the Future — AI's rapid advancement is concentrating capital and power while generating significant public concern and job market impact.
• How Big Tech Lies About AI Layoffs — Big Tech often uses AI as an excuse for layoffs, primarily driven by past over-hiring and profit goals.
• Nvidia Delivers Upbeat Forecast to AI-Wary Market — Despite strong earnings, investor concerns about AI spending sustainability and market cyclicality are impacting tech stock reactions.
• The Pulse: a trend of trying to cut back on AI spend within eng departments? — Engineering departments are increasingly questioning AI investment ROI, leading to dampened spending on AI agents.
• Breaking: bad news for three of the biggest IPOs in history — Excessive GenAI usage without clear ROI is unsustainable, leading to significant financial losses for major tech companies.
• The ‘AI is inevitable’ trap — Public sentiment towards AI is souring despite its advancements, creating a market paradox.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Stratechery by Ben Thompson.