McKinsey: 10% of Enterprise Functions Now Use AI Agents
New McKinsey research shows AI agents have crossed the 10% threshold in enterprise adoption — but the money tells a different story. Mega-deals now comprise 73% of total AI investment value, meaning capital is concentrating in established players while leaving less for emerging solutions. The gap between "AI-curious" and "AI-deployed" keeps widening.
Read on Forbes →OpenAI Plans to Double Workforce to 8,000 by End of 2026
OpenAI is nearly doubling staff as Anthropic captures 73% of first-time enterprise AI spending (up from 50%). The hiring push centers on Frontier, OpenAI's agent-based enterprise platform, plus startup acquisitions. OpenAI is projected to generate $25B in 2026 revenue vs. Anthropic's $19B — but the gap is narrowing fast. The enterprise AI war is heating up.
Read on WinBuzzer →Google: 10 AI Workflows Every CMO Should Know
Google dropped a tactical playbook for marketing leaders wrestling with AI adoption. Key insight: only 15% of CEOs believe their CMOs are "AI-savvy." The workflows cover market intelligence with Deep Research, strategic stress-testing with NotebookLM, and real-time cultural arbitrage using Search Trends. The message: AI-savvy doesn't mean coding — it means orchestrating.
Read on Think with Google →Okara Launches "AI CMO" — $99/Month to Replace Marketing Teams
New startup Okara is positioning an "AI CMO" as a subscription-based alternative to traditional marketing teams. For $99/month, it deploys AI agents that handle SEO audits, content creation, community engagement (Reddit, Hacker News), and even a "GEO score" that measures visibility in AI-generated responses from ChatGPT, Claude, and Perplexity. Distribution is the new product.
Read on Storyboard18 →CMOs: "Best Teams Will Co-Work With AI on 10% of Activities That Create Value"
Senior Executive's CMO Think Tank offers a grounded perspective on the AI/human divide. The consensus: AI's biggest contribution might not be answers, but better questions. The best 2026 marketing teams will have humans spending 90% of their time on the 10% of activities that create value — with AI handling the rest. The goal isn't maximum automation; it's optimal allocation.
Read on Senior Executive →💡 My Take
Read this one: The Google "10 AI Workflows" piece is the most actionable. The stat that only 15% of CEOs think their CMOs are AI-savvy should be a wake-up call. But the workflows show what "AI-savvy" actually means in practice — it's not about using tools, it's about orchestrating them. Start with market intelligence and stress-testing; those are immediate value-adds.