"Innovation—any new idea—by definition will not be accepted at first. It takes repeated attempts, endless demonstrations, monotonous rehearsals before innovation can be accepted and internalized by an organization. This requires courageous patience."
—Warren G. Bennis, Author
The AI Breakdown
Preparing for the Scripted Shopper
A YouGov survey released this month shows a clear pattern: Americans are increasingly willing to let AI help with tasks, preparation, scheduling, communication, and negotiation, while keeping human judgment close to the moments that carry real consequence.
The survey found that 28% of Americans would definitely or probably let AI negotiate the price of a major purchase on their behalf without human oversight. Among daily AI users, that jumps to 52%.
The workplace numbers carry the same signal. Nearly half of employed Americans would let AI assign daily tasks and set their schedule. Comfort drops as the stakes rise: 61% would reject AI deciding layoffs, 49% would reject it deciding raises or promotions, and 42% would reject it evaluating job performance.
That maps cleanly to store operations. AI has room in task lists, call summaries, follow-up drafts, inventory copy, service explanations, meeting prep, and roleplay. High-consequence decisions still need clear human ownership.
Practical Plays
Make pricing, payments, trade values, incentives, reconditioning, F&I products, and service recommendations easy to verify.
Train for AI-assisted objections: "ChatGPT says my trade is worth more," "AI found a lower payment," and "The bot says I should skip this coverage."
Use AI for drafts, summaries, schedules, inventory copy, service education, meeting prep, and coaching roleplay.
Keep people responsible for pricing commitments, credit decisions, compliance, HR, legal claims, sensitive customer data, and final judgment.
Coach the thinking behind the output. Polish is easy now, accuracy still pays the bills.
Prompt of the Week
Use this to pressure-test your team's answers before a customer turns online research into a live negotiation.
Act as a dealership sales coach.
Build a realistic training exercise for a customer interested in [YEAR MAKE MODEL] who has done extensive online research before contacting us.
Customer details:
Desired vehicle: [YEAR MAKE MODEL]
Trade-in: [YEAR MAKE MODEL, MILES, CONDITION]
Target payment: [TARGET PAYMENT]
Down payment: [DOWN PAYMENT]
Credit range, if known: [CREDIT RANGE]
Competing offer or comparison source: [COMPETITOR / MARKETPLACE / OEM SITE]
Main concern: [PRICE / PAYMENT / TRADE / RATE / FEES / WARRANTY / LEASE TERMS]
Create:
A short customer profile with their likely mindset
Five objections they may raise during the call or showroom visit
The hidden assumption behind each objection
A clear response that respects their research while adding dealership context
One follow-up question for each response
The proof the salesperson should have ready, such as market comps, trade appraisal notes, reconditioning records, incentive rules, lender terms, or menu details
Keep the language natural, calm, and specific. The goal is to help the customer understand the full picture and help the salesperson stay prepared, accurate, and useful.
Manager add-on:
Now turn this into a 15-minute sales meeting exercise.
Include:
A quick opener for the manager
Two roleplay rounds
Three coaching questions
A checklist the team can use before responding to price, payment, trade, fee, or product objections
Best use: run it with a real aged unit, a real competing listing, and a real trade scenario.
Fresh Finds for Auto Pros
Management & Operations: WorkBuddy
LorAn AI work assistant that helps small teams turn rough asks into finished reports, decks, spreadsheets, and summaries. Useful for the kind of day-to-day admin work that tends to pile up fast.
Data Management: Needle
An AI sales assistant built to stay close to pipeline activity, CRM updates, and follow-up. It helps teams keep records cleaner and next steps clearer without adding more manual work.
Content Creation: Glaze
A plain-language app builder for creating custom desktop tools and lightweight automations. Good for teams that need simple internal fixes, fast, without a full development project.
Hear from the Experts
As AI continues to reshape how businesses operate, leaders are facing a new challenge: balancing automation with the human element that drives culture, vision, and execution.
In this ASOTU CON Sessions conversation, Glenn Pasch sits down with AutoAcquire AI founder Anthony Monteiro to discuss leadership in a rapidly evolving technological landscape.
The conversation explores the role of domain expertise in AI adoption, why leaders need to understand the tools they're implementing, and the fears teams face when technology changes the way work gets done.
Bits and Bytes
New Jersey is the latest state to crack down on surveillance pricing. 🛑
AI actor Tilly Norwood just landed her first feature film role with Misaligned. 🎥
POTUS marked the opening of the Theodore Roosevelt Presidential Library by asking an AI-powered hologram of Teddy about the Panama Canal. 📚
This website keeps a running estimate on the amount of water consumed by data centers world-wide (more than 28,000 Olympic-size swimming pools so far this year). 💧
Parting Pixels
Thanks for reading, Friend! Remember that even the smartest workflows are useless if you start with the wrong tools.
Richard King
