
<p>Something changed this week in the AI conversation. It's not the valuation that crossed $852 billion. It's not another model launch or another benchmark chart showing a steep upward curve.</p>
<p>It's this: more people are using AI than ever before, and fewer trust what it produces. That tension is the real story of AI adoption in 2026.</p>
<p>While OpenAI raises record capital and Google quietly expands real-time AI search globally, the average CMO is sitting on a problem that no funding round solves: their customers are picking up AI-generated answers about their brand from sources they don't control. Reddit. Review sites. Forum threads. The public record.</p>
<p>This week, we cover what demand creation looks like in a world where search captures but doesn't build. We look at why AI benchmarks are failing business decision-makers. We examine what it means when nine autonomous AI agents can run your operations for $1,000 a month. And we ask a harder question about the two signals on AI and work that most people are reading separately when they should be reading together.</p>
<p>This is where the baseline has moved. Most haven't noticed yet.</p>
Audit Your Slack for the 30 New AI Features
Salesforce just shipped 30 AI-powered updates to Slack in a single release, covering summarization, channel digests, task tracking, and workflow automation. Before your team discovers them randomly, spend 20 minutes doing a structured audit: open Slack settings, navigate to the AI section, and enable the three features most relevant to your team's daily patterns. The highest-leverage starting points are channel recaps (saves meeting sync time), message summarization (reduces information overload in busy threads), and workflow triggers (automates routine follow-up tasks).
Happy Growth,
Dan
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