72% of Holiday Shoppers Now Consult AI for Gift Ideas
Optimove's Holiday Shopping Report 2026 reveals that AI-assisted discovery has gone mainstream: 72% of U.S. consumers regularly or occasionally consult ChatGPT, Claude, or Gemini for shopping ideas and gift recommendations. Product recommendation features have been used by 55% of respondents, chatbots by 41%, and visual search by 31%. Three-quarters trust AI recommendations as much or more than other sources — though data privacy remains the leading barrier to deeper adoption. The implication: brands that aren't optimizing for AI recommendation engines are missing a major discovery layer.
Read on GlobeNewswire →Gartner: 33% of Enterprise Software Will Include Agentic AI by 2028
StackAdapt's analysis surfaces a critical Gartner prediction: by 2028, one-third of enterprise software applications will include agentic AI — up from less than 1% in 2024. More striking: 15% of day-to-day work decisions will be made autonomously through AI agents. The shift isn't about standalone AI tools anymore; it's about AI that lives inside the software enterprises already run — ERP, CRM, marketing automation — making decisions, taking actions, and closing loops without human intervention. This is the difference between "using AI" and "AI that does the work."
Read on StackAdapt →B2B Market Intelligence Goes Autonomous
MarTech Cube reports that the most advanced B2B companies are now running AI agents for continuous market monitoring — tracking competitor pricing changes, customer sentiment shifts, product launches, hiring signals, and regulatory updates in real time. The shift: from quarterly analyst reports to "living intelligence" that adapts to market shifts. Forward-looking businesses are also becoming selective about compute allocation, decommissioning costly analytical processes with little strategic value and directing resources to high-impact predictive models. Compute efficiency is becoming a competitive capability, not just an infrastructure consideration.
Read on MarTech Cube →Forbes AI 50: OpenAI and Anthropic Capture 80% of Venture Funding
MarketScale breaks down the Forbes AI 50 list: $305.6 billion in total venture funding, with OpenAI and Anthropic together accounting for $242.6 billion — roughly 80 cents of every venture dollar. OpenAI reportedly posted over $25 billion in annualized revenue; Anthropic crossed $30 billion run rate in April. When two companies absorb that much capital, the rest compete for differentiation, not funding. For CIOs evaluating vendors, those revenue figures matter more than valuations — platforms generating $25–30B in run-rate revenue have the financial durability to sustain enterprise contracts and roadmaps.
Read on MarketScale →270+ Companies Sign "Open Weights" Coalition for American AI Leadership
Microsoft reports that more than 270 companies and organizations have signed the "Open Weights and American AI Leadership" open letter as of August 3, 2026. The coalition push: maintain open access to model weights rather than restricting AI development to a handful of closed providers. The signatories argue that open weights enable enterprise customization, reduce dependency on specific vendors, and strengthen the competitive position of American AI infrastructure. For enterprise buyers, this signals growing momentum toward multi-provider strategies and model portability as strategic priorities.
Read on Microsoft →💡 My Take
Read this one: The Optimove report on 72% of shoppers using AI for discovery. This isn't future speculation — it's current consumer behavior. Three-quarters trust AI recommendations as much as other sources. If your product, content, or brand isn't structured to appear in ChatGPT, Claude, and Gemini results, you're invisible to a major and growing discovery channel. The question isn't whether to optimize for AI recommendation engines — it's how fast you can do it.