"Technology gives us power, but it does not and cannot tell us how to use that power. Thanks to technology, we can instantly communicate across the world, but it still doesn’t help us know what to say."
—Jonathan Sacks, Author
The AI Breakdown
The Manager Gap in the Machine Age
Everyone wants the AI upside. Faster work. Cleaner workflows. Less drag. More output.
But, Gallup's latest workplace data shows is that most organizations continue to have an adoption problem.
The biggest signal in this year's report is that integration, trust, and real business impact still run straight through management. And right now, that bridge looks a little shaky.
Many employees report personal productivity gains, while only a small share say AI has transformed how work gets done across the organization. That puts the spotlight on execution.
And management sits at the center of that execution.
Gallup
That support matters even more right now because managers are carrying heavy pressure. Gallup says falling manager engagement explains much of the recent decline in overall employee engagement. When managers have less energy and less capacity, adoption slows, guidance gets thinner, and confidence fades. AI then delivers smaller gains.
Global employee engagement fell again in 2025, landing at its lowest point since 2020. Gallup estimates that low engagement cost the global economy about $10T in lost productivity.
Gallup
For dealers looking for better implementation, this means putting AI into workflows with a clear owner.
Start with managers, because they shape how the team uses new tools. Measure results inside the work that matters: response times, handoff quality, appointment set rates, and follow-up accuracy.
Be clear about where AI helps, where people make the final call, and where judgment still matters most. That is where better adoption starts.
Prompt of the Week
If AI is showing up in more parts of the store, this prompt helps you see where it is fitting the workflow, where it is creating drag, and where managers need to be more hands-on so the team knows how to use it well.
You are an AI workflow advisor for a car dealership. Review this dealership's current use of AI and identify where the tool is creating real value, where it is creating confusion, and where manager support or workflow design needs to improve.
Use this dealership context: rooftop or group size: [insert]; departments involved: [sales / BDC / service / F&I / accounting]; current AI tools in use: [insert]; CRM: [insert]; DMS: [insert]; communication tools: [email / text / chat / phone]; current workflow using AI: [describe step by step]; managers responsible for each step: [insert].
First, map the workflow from start to finish. Then identify the five biggest friction points where AI use may be inconsistent, unsupported, poorly integrated, or unclear to employees. For each one, explain what is happening, what the team likely experiences, what the manager may be missing, and what business result could be affected.
After that, recommend a better version of the workflow. Show where AI should assist, where managers should coach or approve, where employees should make the final call, and which results should be tracked weekly. Rank your recommendations by impact, speed to implement, and risk reduction.
Keep the advice specific to dealership operations, practical for managers, and grounded in everyday work.
Fresh Finds for Auto Pros
Finance & Insurance: Warcloud
Most F&I tools focus on the "menu" or the credit app. Warcloud uses AI to tackle one of the biggest profit leaks in the building: F&I chargeback recovery. It uses predictive analytics to identify "at-risk" deals where a customer is likely to cancel a service contract or refinance. It also automates the reconciliation of monthly statements, finding missed commissions that manual accounting almost always overlooks.
Data Management: Brego
Uses AI for hyper-accurate vehicle valuation and residual forecasting that goes much deeper than Kelly Blue Book or Black Book. Brego’s AI analyzes millions of data points, including real-time auction trends, localized supply/demand, and even trim-specific depreciation curves. For a dealer, this means the AI can tell you exactly which cars in your local market are about to tank in value and which ones are about to sky-rocket.
Content Creation: Phyron
This automation tool uses artificial intelligence to transform static vehicle photos and inventory data into professional-quality video advertisements featuring branded backgrounds and voiceovers. It allows dealerships to maintain a high-impact video presence for every single unit on the lot without requiring any manual filming, editing, or production time.
Hear from the Experts
AI is accelerating decisions inside dealerships, and it’s pushing every system, dataset, and workflow into the spotlight at the same time.
In this conversation, Misty Tippets from Podium walks through how AI connects to the core of an operation, where data structure, system alignment, and daily execution shape how well it performs across the store.
She gets into how integrated AI supports real workflows, how connected data drives better outcomes, and how teams are building around these systems to create consistency across every customer interaction.
If you’re mapping out how AI fits into your store, this brings the pieces together.
Bits and Bytes
Jeff Bezos-backed EV startup Slate Auto has raised another $650M as it prepares to put its first pickup trucks into production by the end of 2026. 💰
A cybercriminal attack breached nine Mexican government agencies and used Anthropic’s Claude Code and OpenAI’s GPT-4.1 to help steal hundreds of millions of citizen records. 🥷
Microsoft says the growth of AI agents in business could force companies to rethink software licensing. 🤔
Parting Pixels
Thanks for reading along, Friend! Don’t forget to think outside the box. If you can’t beat ’em, out-prompt ’em.
