Why Interaction Infrastructure Is the Essential Foundation to Prevent Automation Waste in Agentic AI
This opinion piece argues that without dedicated interaction infrastructure for agentic AI—systems enabling communication, coordination, and governance among autonomous agents—enterprises risk serious...
This opinion piece argues that the AI industry’s focus on raw compute power is insufficient for advancing agentic AI. Instead, holistic chip design integrating architecture, communication, and softwar...
The AI industry’s failure to establish clear standards and liability frameworks for agentic AI systems poses significant risks. Drawing on recent policy moves like South Africa’s and IBM’s security in...
Meta and Broadcom’s partnership to co-develop AI chips represents a bold attempt to challenge Nvidia’s dominance but carries significant risks of fragmenting AI infrastructure and complicating supply ...
This opinion piece argues that CPUs, often overshadowed by GPUs in AI infrastructure discussions, are critical for the success of agentic AI systems. The author contends that CPUs provide the necessar...
Anthropic’s decision to restrict Claude Mythos highlights the urgent need for responsible AI governance. This move challenges the industry’s relentless push for capability by prioritizing security and...
The AI industry's fixation on raw compute power overlooks critical architectural bottlenecks in memory and I/O that limit agentic AI’s potential. This opinion piece argues for a holistic chip design a...
Apple and Qualcomm’s decision to impose operational limits on AI agents represents a necessary shift toward sustainable, responsible AI infrastructure. This approach balances innovation with technical...
The AI industry's escalating energy consumption is a pressing crisis demanding immediate accountability and transparency. Pauses like OpenAI's Stargate project highlight the unsustainable power costs,...
Agentic AI systems demand robust governance frameworks to prevent operational risks and build trust. This opinion piece argues that strong, adaptable oversight is essential for safe, innovative AI dep...