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Tag: #ai-tax4 results
TaxDown, a Madrid-based tax fintech, secured €4M in structured debt financing to scale its AI tax platform. The company doubled revenue in 2025 and achieved profitability. This funding underscores its deliberate capital strategy focused on product excellence over user metrics.
Microsoft cuts Windows 365 and AVD pricing by 20% for lower-tier VMs and adds hibernation, autoscaling to reduce costs. However, Microsoft 365 and Windows prices rise up to 33% for AI features. Positions AI-enabled Cloud PCs as premium DaaS option.
Hollywood actors’ union is bargaining for a ‘Tilly Tax’ on AI film characters. Union head states organized labor checks AI use as US adoption outpaces regulation. This highlights labor's role in shaping AI deployment.
Alap Shah, co-author of Citrini Research report, warns AI will displace workers and disrupt consumption economies like the US. He proposes an AI tax to cushion job losses. The report sparked a market selloff.
OpenAI and Meta are seeking help to address growing public opposition to their AI data center plans. The effort highlights the increasing public-relations challenges surrounding large-scale AI infrastructure expansion.
VB Pulse data shows enterprises are adopting multiple AI orchestration platforms instead of relying on a single vendor. The survey also highlights persistent concerns about security, permissions, token usage, cost visibility, and the ability to stop runaway agent spending in real time.
Google is introducing a button that lets readers mark publishers as preferred sources across Search, Discover, and Google News. The feature could help publishers recover traffic as AI-powered search generates fewer direct clicks to websites.
Runlayer and Rippling have dropped their lawsuits, with no money changing hands. Rippling marked the resolution by releasing a competing product, leaving the dispute as a cautionary example for founders.
KCD Hangzhou has opened its call for papers, inviting the community to discuss cloud native technologies, observability, and large-model inference in the Agent era. The announcement targets practitioners interested in sharing or learning about the infrastructure behind AI agents.
Wired AI argues that Silicon Valley technology leaders do not understand society’s growing frustrations with AI. The article criticizes their public messaging as disconnected from legitimate concerns about AI’s impact.