AI Hits the Execution Wall: Meta, Microsoft, Anthropic, China, and India
AI is moving from hype to hard execution.
The big stories this week show the same pattern: agents are harder than expected, compute access is getting tighter, companies need help deploying AI, China is pushing cheaper alternatives, and hiring is shifting toward AI skills.
In this episode of AI Edge by Mahesh Devalla, we look at how the AI race is entering a more serious phase:
Who can actually deploy AI, control costs, access compute, and turn demos into real business results?
Highlights from this episode
Meta admits AI agents are not progressing as fast as expected
Google reportedly limits Meta’s Gemini access after Meta asks for more AI capacity
Microsoft prepares layoffs while continuing to invest heavily in AI
Microsoft launches a $2.5B Frontier Company to help enterprises deploy AI
Anthropic’s Mythos returns with controlled access instead of a full public release
China’s GLM-5.2 creates a mini DeepSeek-style moment with cheaper AI performance
India’s AI hiring rises while overall IT hiring slows down
The AI race is now about execution, compute access, cost control, enterprise adoption, and talent
Quick takeaway
The AI conversation is becoming more practical.
It is not only about launching new models or showing impressive demos anymore. It is about whether agents can work reliably, whether companies can afford the compute, whether enterprises can actually deploy AI, and whether the job market is ready for the shift. The companies that win will be the ones that turn AI from promise into real productivity.
Watch the full video below
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