Memia — Strategic Intelligence

SITUATIONAL AWARENESS FOR AI DECISION-MAKERS

A strategic intelligence practice for governments, capital, and operators navigating the AI economy.

Latest briefings

A live read on what moved across the AI landscape, what it means, and what's next.

Sensorium Signal Scanning

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Real-time links and signal scanning from across the web, tracked through Memia Sensorium.

AI uses just 0.5% of global electricity — but it's growing fast

AI uses just 0.5% of global electricity — but it's growing fast

·How much electricity does AI consume? [2025 summary] - What share of electricity is consumed by data centres? What's the energy footprint of ChatGPT and other chatbots?

Signals:

  • AI data center electricity demand is geographically concentrated, creating significant local grid infrastructure bottlenecks.
  • Global data center electricity consumption is projected to double by 2030, driven by AI.
  • AI energy usage is opaque, with most consumption likely stemming from industrial and background applications.
Anthropic partners with SpaceX to boost Claude Code usage limits

Anthropic partners with SpaceX to boost Claude Code usage limits

ArstechnicaArstechnica·6 May 2026·Anthropic raises Claude Code usage limits, credits new deal with SpaceX - Ars Technica - Deal follows others with Microsoft, Amazon, and more.

Signals:

  • Anthropic secured massive compute capacity from SpaceX to resolve critical AI usage bottlenecks.
  • Increased usage limits enable more reliable, high-scale deployment of complex multi-agent AI workflows.
  • Strategic infrastructure partnerships are now essential for maintaining competitive AI service availability levels.

Interpret the future

Key narrative axes which Memia is tracking relating to Artificial Intelligence trends and impacts

Is it an AI Bubble?

There is no AI investment bubble

AI companies continue to justify their vast valuations and continue to raise capital. Valuations do not collapse suddenly.

The AI investment bubble will burst imminently

The gigantic amounts of money flowing into AI companies in 2022-2025 is seen not to generate returns and AI company valuations collapse very soon.

AGI Centralisation vs. Democratisation

Corporate Concentration

AGI development concentrates in a few powerful entities - governments and large tech companies - with massive resource requirements creating insurmountable barriers to entry.

Open Source Democratisation

AGI development democratizes through open-source initiatives, distributed computing, and accessible tools that enable widespread participation and innovation.

AGI Safety Alignment Progress

Robust Solutions

Robust, verified alignment solutions are developed and thoroughly tested before AGI deployment, ensuring AI systems reliably pursue intended goals and values.

Minimal Safeguards

Minimal safeguards are implemented due to competitive pressures and technical challenges, leaving significant alignment problems unsolved at AGI arrival.

AGI Regulatory Environment

Global Coordination

Strong international governance frameworks emerge with coordinated policies, standards, and oversight mechanisms for AGI development and deployment.

Fragmented Landscape

Fragmented regulatory landscape develops with inconsistent national policies and AI development havens undermining global coordination efforts.

AGI Hardware Requirements

New Breakthrough Computing Technologies

AGI requires quantum, photonic, thermodynamic or other breakthrough computing technologies, creating additional technical barriers and development timelines.

Existing Architectures

AGI emerges through scaling existing semiconductor architectures and optimizing current computing paradigms without fundamental hardware breakthroughs.