The AI boom has a dirty secret

Good morning, AI enthusiasts. This week, AI’s power move is showing its bones. We see massive infrastructure bets, Apple quietly testing its next chatbot, and a hard truth about AI’s impact on productivity. Plus: a global voice from the UN reminding us who’s watching as tech expands. Let’s break it down.

In today’s TLDR AI:

• Apple tests “Veritas” internally to upgrade Siri’s intelligence

• Trillion‑dollar infrastructure deals are fueling the AI boom

• AI‑generated “workslop” is eroding real productivity

• UN launches a global dialogue on AI governance

LATEST DEVELOPMENTS

🍏 Apple tests “Veritas” to rescue Siri’s future

• TLDR: Apple is internally testing a ChatGPT‑style bot called Veritas, used by employees to experiment with new capabilities before broader release.

• Veritas can interact conversationally, search through personal data, and invoke in‑app actions like photo edits

• It functions as a testbed for Apple’s next-gen Siri upgrades though no public release is planned yet.

• The move signals Apple’s urgency to close the gap with generative AI rivals.

• Why it matters: If Veritas works well, it could transform Siri from reactive voice assistant into a context-aware, proactive AI tool inside your device.

🏗 Trillions are being poured into AI infrastructure

• TLDR: Industry leaders are declaring this decade the era of the AI backbone with massive investments to build what powers next‑gen models

• BigTech, governments, and cloud providers are signing deals worth billions to build data centers, power systems, and networks.

• Analysts estimate $3–4 trillion will be spent this decade just to support compute demand.

• The scale is stressing grids, real estate, and global supply chains.

• Why it matters: Models matter. But infrastructure dictates which models are feasible and who controls the arteries of compute will shape AI’s future.

The hidden cost of “workslop” in AI workflows

• TLDR: A recent HBR study exposes a phenomenon called “workslop”: polished but hollow AI outputs that require human cleanup, wasting time and undermining trust.

• Forty‑one percent of surveyed workers say they’ve received AI content that felt superficially good but lacked substance, dragging on productivity.

• On average, such work costs almost two hours of rework per instance.

• Workslop” disproportionately hurts perception: authors of such content are viewed as less reliable.

• Why it matters: AI isn’t magic. If the output just creates more cleanup, it becomes friction, not a force multiplier.

🕊 UN launches global dialogue on AI governance

• TLDR: The UN Secretary‑General opened a high-level informal meeting on global AI governance, calling for multi-stakeholder cooperation to build safe systems.

• He emphasized that norms and treaty frameworks must keep pace with the speed of innovation.

• The event underscores growing pressure on AI companies to answer not just how to build, but how and under what rules.

• Nations and private sectors are urged to contribute solutions, not just debates.

• Why it matters: AI’s structure is now political. Global frameworks will influence everything from investment to model release to enforcement.

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