California utility PG&E reports its data center pipeline has decreased by 400MW to 9.6GW, but projects in final engineering stage grew to 1.6GW. The utility is implementing a “no big bets plan” while focusing on AI inference workloads.
Tech stocks face pressure from disappointing earnings and geopolitical trade threats, with retail investors showing signs of retreat. However, some analysts suggest any selloff could present buying opportunities in resilient sectors.
Recent earnings calls from major technology companies have reportedly failed to meet market expectations, contributing to stock declines across the sector. According to reports, Netflix shares fell approximately 6% following its third-quarter earnings call, while SAP stock dropped 1.6% this morning despite what analysts described as a solid AI revenue pipeline.
Nearly all large enterprises have committed budget to Agentic AI initiatives, with 39% planning to spend $1 million or more. However, data quality and integration challenges mean most organizations won’t achieve scale until 2028-2030, according to new industry research.
Enterprise investment in Agentic AI has reached a critical tipping point, with 97% of organizations having committed budget to these initiatives, according to the Qlik 2025 Agentic AI Study. The research, conducted by Enterprise Technology Research (ETR), indicates that substantial financial resources are being allocated, with 39% of enterprises reportedly planning to spend $1 million or more and 34% dedicating 10-25% of their total AI budget specifically to Agentic AI projects.
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