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Infosys has launched Topaz Fabric, a composable stack of AI agents and services designed to unify enterprise IT operations while keeping humans in the loop. The platform reflects a growing shift toward human-guided automation — blending AI efficiency with oversight and accountability. With over 50 specialized agents and modular integration across major platforms, Infosys is betting that controllable, auditable AI will define the next phase of enterprise adoption.

FedEx Dataworks and ServiceNow have announced a partnership to fuse FedEx’s global logistics data with the ServiceNow AI Platform to build more intelligent, resilient supply chains. The collaboration could give enterprises real-time visibility and predictive insights into disruptions. LLMs excel at finding patterns in vast datasets — and if trained on FedEx’s data, may reveal powerful correlations. Whether those insights prove operationally meaningful remains to be seen.

Meta is cutting around 600 roles from its Superintelligence Labs, impacting FAIR and other AI units in what appears to be a major strategic reset. The move follows a $27B financing deal with Blue Owl Capital and comes just days after Meta hired Andrew Tulloch, co-founder of Thinking Machines Labs. The layoffs suggest Meta is consolidating its AI ambitions — possibly shutting down entire R&D teams to refocus on next-generation foundation models.

Global venture capital reached $120.7 billion in Q3 2025, the fourth straight quarter of growth, according to KPMG’s Venture Pulse Report. AI dominated funding flows, with Anthropic ($13B), xAI ($10B), and Mistral ($1.5B) among the largest rounds. From the U.S. to Europe and Canada, investors are pouring record sums into both model builders and applied AI startups—cementing AI as the gravity well of global VC.

Physical AI faces hurdles digital AI never had to. Real-world data is scarce, hardware is costly, and edge computing adds complexity. Even with powerful simulators, the “sim-to-real” gap keeps autonomy out of reach — many demos still rely on human “babysitters.” TheMarketAI Take: progress will come from modular systems — robots that master walking, grasping, or vision, not everything at once.

yndryl’s 2025 Readiness Report finds 54% of firms see ROI from AI, yet 62% remain stuck in pilot mode. Confidence is high, but tech debt, skill gaps, and cloud complexity slow progress. TheMarketAI Take: as MIT research shows 95% of AI pilots fail to scale, the issue may be structural — AI’s probabilistic nature limits consistency and makes enterprise scaling inherently difficult.