The Great SDR Shakeup: Why 36% of Companies Are Replacing Sales Teams with AI in 2025
New data reveals that over a third of B2B companies are actively reducing SDR headcount in favor of AI-powered sales agents. We break down the economics, capabilities, limitations, and the hybrid model that is actually winning.
Sarah Mitchell
Latest Articles
Deep dives into AI sales, compliance, and revenue operations.
ComplianceAI Calling and the Law: The Complete 2025-2026 TCPA Compliance Guide for Businesses
The FCC has fundamentally changed the rules for AI-generated calls. This guide covers the February 2024 ruling, April 2025 updates, consent hierarchies, state-level regulations, penalty exposure, and a step-by-step compliance checklist for businesses using AI voice agents.
OO7 AI Team
Oct 28
IndustryAI Voice Agents by Industry: The Definitive Playbook for Real Estate, Solar, Insurance, and Healthcare
A one-size-fits-all AI calling strategy fails every time. This definitive playbook breaks down exactly how AI voice agents perform across real estate, solar, insurance, and healthcare, with industry-specific scripts, compliance considerations, metrics, and case studies.
Sarah Mitchell
Oct 15
Data & AnalyticsWe Analyzed 100,000 AI-Powered Cold Calls: Here's What Actually Converts in 2026
Our data science team dissected 100,000 AI-powered cold calls across 14 industries to uncover the patterns, timing, scripts, and voice characteristics that separate top-performing campaigns from the rest. The results challenge nearly everything conventional sales wisdom teaches.
James Carter
Sep 20
Cost AnalysisThe True Cost of an AI Sales Agent vs. a Human SDR in 2026: A Complete CFO's Breakdown
A line-by-line financial comparison of deploying AI voice agents versus hiring human SDRs, including hidden costs like turnover, ramp time, management overhead, and the scenarios where humans still deliver better ROI.
Sarah Mitchell
Sep 5
ComparisonsBland AI vs Air AI vs Synthflow vs OO7 AI: The Honest Platform Comparison for 2026
An objective feature-by-feature breakdown of the four leading AI voice calling platforms in 2026. We cover pricing, voice quality, integrations, compliance, ease of use, and real-world performance so you can make an informed decision.
OO7 AI Team
Aug 22
RevOpsHow AI Voice Agents Are Quietly Rebuilding the Revenue Operations Playbook in 2026
The traditional RevOps stack is fracturing under the weight of siloed tools, manual handoffs, and dirty data. AI voice agents are emerging as the connective tissue that unifies the entire revenue cycle — from first touch to closed-won — and organizations adopting them are seeing 9.5% higher sales growth.
Sarah Mitchell
Aug 10
StrategySpeed Kills Your Competition: Why the First 60 Seconds After a Lead Comes In Decides Everything
Research shows leads contacted within 1 minute are 391% more likely to convert. After 24 hours, your odds drop by 98%. Yet the average B2B company takes 42 hours to respond. AI voice agents are closing this gap to under 10 seconds — and the results are staggering.
James Carter
Jul 25
TechnologyAI Voice Agents in 2026: How They Actually Work (And Why They Sound So Human Now)
From speech-to-text to LLM reasoning to voice synthesis, here is a deep technical breakdown of the modern AI voice agent pipeline. Learn why sub-500ms latency, emotional detection, and agentic decision-making have made 2025-2026 the tipping point for human-quality AI phone conversations.
James Carter
Jul 10
Predictions10 Bold Predictions for AI Calling in 2027: What Every Sales Leader Needs to Prepare For
From FCC-mandated real-time AI disclosure to autonomous deal closers handling full sales cycles under $5K, here are 10 data-backed predictions for where AI calling is headed by 2027 — plus a 90-day action plan so you're ready when they arrive.
OO7 AI Team
Jun 28