// signal(daily)
The daily briefing for AI marketers, growth hackers, and operators.
// computing(∑)
LIVE847
∑ sources
0.47%
σ signal/noise
t₀ today 2026-01-23
LIVE
From Zero to Agentic Enterprise: A Startup’s Guide to Salesforce AI
Highest rated content by Salesforce Read time: 4 minutes · Marketing
Score: +3190
Salesforce's Agentforce 360 stack now allows startups to deploy autonomous 'digital labor' across Sales, Service, and Marketing using the Atlas Reasoning Engine. Unlike standard chatbots, these agents break down high-level goals into logical steps with zero-retention privacy via the Einstein Trust Layer. Tactical implication: Deploy an 'SDR Agent' via Agent Builder to autonomously handle lead qualification and scheduling before routing only high-value prospects to humans.
Agentic AI on the rise: Keys to unlocking value (Sponsor)
by TLDR AI Read time: 4 minutes · Marketing
Score: +2600
AWS's new resource details the architecture for 'Agentic AI', shifting focus from conversational interfaces to goal-oriented execution. It covers integration patterns for connecting LLMs to enterprise data sources securely. Tactical implication: Download to map your Q1 pilot projects against AWS's recommended security guardrails.
AI Gains Starting to Show in the Real Economy
by TLDR AI Read time: 4 minutes · Marketing
Score: +2400
Q3 2025 BLS data shows a 4.9% jump in nonfarm labor productivity, with output up 5.4% while hours worked rose only 0.5%—a signal of AI's 'real economy' impact. James Wang notes this 'pure' productivity gain mirrors historic tech adoption curves, coinciding with the launch of accessible agents like Claude Cowork. Tactical implication: Use these macro productivity stats in Q1 executive presentations to defend AI tooling budgets against headcount freezes.
t₋1 yesterday 2026-01-22
How AI agents shaped the record-breaking 2025 holiday season
Highest rated content by MarTech Read time: 4 minutes · Marketing
Score: +3910
Salesforce data reveals AI agents influenced 20% of the $1.29 trillion global holiday sales, with agent-driven search converting 9x higher than social traffic. Brands deploying proprietary AI agents saw 59% higher growth rates compared to non-adopters. Tactical implication: Prioritize 'owned agentic AI' in 2026 roadmaps to capture high-intent discovery traffic and automate post-purchase returns.
A practical framework for AI disclosure in marketing
by MarTech Read time: 4 minutes · Marketing
Score: +3480
Jeanne Jennings (Georgetown University) proposes a 'disclosure continuum' based on Context, Consequence, and Audience Impact rather than binary labeling. While internal segmentation requires no disclosure, high-consequence external content—like realistic human images—demands transparency to maintain trust. Tactical implication: Adopt this 3-part framework to filter 'disclosure noise' and only label AI use that materially affects consumer perception.
It’s time for AI to join your workflows
by MarTech Read time: 4 minutes · Marketing
Score: +2800
Typeface CMO Jason Ing warns that 'AI silos' are replacing data silos as the primary threat to efficiency. Integrating AI directly into campaign workflows—rather than treating it as a standalone tool—transforms it from a utility to a partner. Tactical implication: Audit current campaign creation processes to identify manual handoffs that agentic AI can automate.
t₋2 2 days ago 2026-01-21
Ads are officially coming to ChatGPT
Highest rated content by The Rundown AI Read time: 4 minutes · Marketing
Score: +3000
The Rundown AI highlights the introduction of ads in ChatGPT to support broader access to AI. Strategy: ads will be tested first in the US. Automation: ensuring user trust, data privacy, and ad quality.
The A in AGI stands for Ads
by TLDR AI Read time: 4 minutes · Marketing
Score: +2900
TLDR AI argues that ads are crucial for OpenAI's profitability and sustainability. Strategy: ads create a circular economy. Growth: leveraging advertising to enhance AI capabilities.
The Art of Customer Feedback Analysis: Turn Insights into Action
by Salesforce Read time: 4 minutes · Marketing
Score: +2800
Salesforce outlines the importance of analyzing customer feedback to develop actionable business strategies. Strategy: gather customer data effectively. Action: implement insights to improve product offerings.
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