Microsoft is overhauling Copilot's pricing to a usage-based model amid soaring costs from power users, while simultaneously exploring a fine-tuned, Azure-hosted version of DeepSeek V4 as a cheaper AI alternative to OpenAI and Anthropic, with a decision expected within weeks.
Enterprise AI costs are spiraling out of control as token bills from frontier models like ChatGPT, Claude, and Gemini blow past budgets, forcing companies to adopt smarter model routing and hybrid compute strategies while vendors like Databricks race to offer cost-control solutions.
Databricks launches Genie One, an agentic AI coworker that automates enterprise work across marketing, finance, and sales by leveraging a self-improving context layer called Genie Ontology, which learns from tools like Slack, Jira, and Google Drive to deliver governed, data-grounded AI reasoning with no seat-based pricing.
Microsoft launches Copilot Cowork globally after record-breaking Fortune 500 adoption, offering enterprise AI automation that runs 30-40% cheaper than competitors with usage-based billing starting today.
Factory 2.0 launches AI-powered 'software factories' that autonomously manage the entire software development lifecycle — from bug reports to deployment — with major enterprises like NVIDIA, Adobe, and Blackstone already running the systems in production, signaling a major shift where engineers govern AI rather than write code themselves.
AI now handles 60% of engineering work, but only 20% is reliable without human oversight — and a new 8-level context maturity framework reveals that the real problem isn't the AI itself, but how well teams manage the context feeding it.
Tech layoffs surge to a two-year high with nearly 40,000 cuts as AI takes the blame for a third straight month, while a small circle of AI insiders mint billions through IPOs and skyrocketing valuations — sparking comparisons to post-2008 inequality backlash and warnings of an even more volatile public …
Salesforce acquires AI customer service platform Fin for $3.6 billion to supercharge its Agentforce platform as the company battles a stock slump of over one-third in 2026 amid fears that emerging AI could disrupt its core business model.
Tech companies are urgently building safeguards against rogue AI agents capable of deleting databases and ignoring commands, as security experts reveal three critical strategies—behavioral monitoring, intelligent approval filtering, and credential protection—to keep AI agents useful rather than dangerous.
A new study reveals a dangerous paradox: AI-generated code consistently fools reviewers into rating it higher quality than human-written code, yet 78% of teams report a surge in production incidents after shipping it, with nearly two-thirds skipping manual verification entirely.