Last mentioned: Mar 9, 2026
Predicted AGI Arrival
The window identified by Hassabis for the achievement of Artificial General Intelligence.
Earliest Relief Window
Analysts predict the first potential signs of supply relief as new production capacity comes online.
Projected Relief
Earliest window for new manufacturing capacity to begin easing the global supply crunch.
Earliest Relief
Analysts predict the earliest possible date for significant supply chain relief.
Scaling & Safety Phase
Expected period of intense research into biosecurity guardrails and reasoning capabilities.
Spending Milestone
Big Tech AI infrastructure spending projected to hit $650 billion for the calendar year.
Spending Projection
Total AI infrastructure spending expected to hit $650 billion for the year.
IDC Crisis Report
Market research firm IDC labels the current memory shortage a 'crisis like no other.'
IDC Crisis Report
Market research firm IDC labels the memory shortage a 'crisis like no other'.
IDC Crisis Report
Market research firm IDC labels the memory chip crunch a 'crisis like no other'.
India AI Impact Summit
Demis Hassabis delivers keynote in New Delhi predicting AGI timeline.
Tesla Earnings Call
Elon Musk suggests Tesla may produce its own memory chips to bypass supply bottlenecks.
Tesla Earnings Call
Elon Musk identifies memory as a bottleneck and suggests potential in-house chip production.
Tesla Earnings Call
Elon Musk raises the possibility of Tesla producing its own memory chips due to shortages.
Record Spending Year
Big tech concludes a year of record-breaking AI infrastructure investment.
Record Spending Year
Big Tech sets previous record for AI infrastructure investment.
A massive surge in AI infrastructure investment is driving a historic memory chip shortage, with Big Tech projected to spend $650 billion in 2026. This critical supply chain bottleneck is impacting profitability and development timelines for industry leaders like Apple, Alphabet, and Tesla.
A historic memory chip shortage is threatening the pace of AI development as Big Tech spending is projected to reach $650 billion in 2026. Industry leaders warn of a 'choke point' that could impact profitability and product timelines for at least the next year.
A massive surge in AI infrastructure investment has triggered a global memory chip shortage, threatening the profitability and development timelines of tech giants like Apple and Tesla. With capital expenditures projected to reach $650 billion in 2026, industry experts warn that the supply-demand imbalance represents a critical choke point for the next phase of computing.
A historic shortage of memory chips is threatening the global AI rollout as Big Tech spending is projected to hit $650 billion in 2026. Industry leaders warn that the supply "choke point" could impact profitability and delay technological progress for over a year.
A historic shortage of memory chips, fueled by a projected $650 billion surge in AI infrastructure spending, is threatening the profitability and timelines of tech giants like Apple and Tesla. With only three manufacturers capable of producing high-bandwidth memory (HBM), the industry faces a protracted supply crunch that could last well into 2027.
DeepMind CEO Demis Hassabis has identified long-term planning, continuous learning, and consistency as the primary hurdles preventing current AI from achieving human-level intelligence. His remarks suggest that while scaling has driven progress, architectural breakthroughs are still required to reach Artificial General Intelligence (AGI).
Ramco Systems has launched Chia, an enterprise-grade conversational AI agent designed to automate complex customer support through autonomous reasoning and action. Part of the new rTask suite, Chia features a no-code foundry that allows non-technical teams to deploy deterministic AI workflows in weeks.
Ramco Systems has introduced Chia, an enterprise-grade conversational AI agent platform designed to automate complex customer support workflows within its new rTask suite. By utilizing a no-code AI Agent Foundry and Natural Language Workflow technology, Chia enables non-technical teams to deploy deterministic, action-oriented AI agents that integrate directly with backend systems.
Demis Hassabis, CEO of Google DeepMind, has projected that Artificial General Intelligence (AGI) could be achieved within the next five to eight years. Speaking at the India AI Impact Summit 2026, he emphasized the transformative potential for science while warning of critical biosecurity and cybersecurity risks.
Google DeepMind CEO Demis Hassabis has projected that Artificial General Intelligence (AGI) could arrive within five to eight years, marking a significant acceleration in the global AI race. Speaking at the India AI Impact Summit 2026, Hassabis emphasized that while the technology presents a 'golden era' for scientific discovery, it requires urgent safeguards against biosecurity and cybersecurity threats.
Google DeepMind CEO Demis Hassabis predicts Artificial General Intelligence (AGI) could arrive within five to eight years, ushering in a 'golden era of science' for drug discovery. While the timeline suggests a radical acceleration of biological engineering, Hassabis issued urgent warnings regarding biosecurity risks as AI systems gain autonomous capabilities.