
IPv6 is the essential foundation for AI, edge computing, and next-gen networks, addressing IPv4’s limitations and strategic risks.
IPv6 is a newer internet protocol designed to replace the aging IPv4 system that the industry has known is running out of addresses for 15-20 years but has delayed transitioning to by using temporary fixes like CGNAT. The shift matters because AI-agentic systems and edge computing require capabilities that IPv4 fundamentally cannot provide, such as peer-to-peer mesh networking, end-to-end connectivity with very low latency, and proper security frameworks for distributed systems. Service providers have historically resisted the transition due to unclear financial returns, legacy system dependencies, lack of staff expertise, and the false sense that temporary workarounds are sufficient. However, as agentic AI systems become central to network operations, the continued reliance on IPv4 creates strategic risks including performance degradation, security vulnerabilities, and reduced competitiveness in next-generation infrastructure.

The Robot Report Podcast · How Protolabs turns CAD files into parts in under 24 hours Marc Kermisch, Chief Technology and AI Officer at Protolabs. Marc Kermisch is the chief technology and AI officer at Protolabs. He leads the Maple Plain, Minn.-based company‘s global technology organization, overseeing its software product development, digital manufacturing platform evolution, and enterprise-wide artificial intelligence and research & development strategies. Kermisch also focuses on

Google will now allow you to remove visible watermarks from the images, videos, and music made with AI tools. With the update, you can toggle off a new "Media watermark" setting in Gemini and Google's AI video generator, Flow. When toggled off, Google will remove the "sparkle" watermark that appears in the bottom-right corner of content generated with the company's Nano Banana and Omni models. Though visible watermarks are now optional, AI-generated content will have invisible

Turning off this setting won't affect invisible benchmarks used to identify an AI generated file.
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