🖤 we're loving: AI got promoted from intern to MVP—sorry, Jim from sales
🔮 we'll see: Execs: AI will save millions! Ops: With what resources?
⚠️ say less: Retail’s AI rollout is giving “we’ll fix it in post” energy
back-end breakdown
team player, top performer, never takes PTO: new experiment proves AI understood the assignment
AI just got its first real performance review—and crushed it. A massive experiment at Procter & Gamble showed that AI doesn’t just match human teams, it makes work more creative, collaborative, and even (gasp) enjoyable.
🔢 semantics:
• One person with AI matched the performance of full human teams, closing the gap between solo work and team output
• Teams with AI were more likely to generate top-tier ideas—those ranked in the top 10% for quality
• AI helped break down functional silos, enabling people to create more complete, well-rounded solutions
📈 sentiment analysis:
AI doesn’t replace great teams, it makes them better. But here’s the catch: AI is only as good as the program built around it. Better prep, clearer focus, and more intentional workflows = exponential payoff. If your AI agent isn’t delivering extraordinary CX yet… maybe it’s time for a team meeting.
retailers, the AI era is calling—and it wants consumer trust back
Retailers are racing to implement AI for CX, but the trust gap is getting wider. While shoppers are already changing how they search, browse, and buy, many companies are still stuck in the implementation weeds.
🔢 semantics:
• Retailers are actively deploying AI for store ops and CX, but many cite integration, training, and trust as their biggest roadblocks
• 61% of consumershave used AI tools like ChatGPT to help them shop online, and 54% now search more conversationally
• But two-thirds of consumers still won’t let AI make purchases on their behalf, even if it means a better deal
📈 sentiment analysis:
If you’re still dodging AI like that annoying group chat reply, we’ll be clear: customer expectations are evolving faster than your tech stack. Shoppers are already bringing AI into the buying journey, and they expect brands to keep up. The ones that win won’t just implement AI—they’ll integrate it, personalize it, and prove it can deliver.
the algorithmic divide
🤑 AI could unlock billions!
Executives know AI has the potential to transform CX—McKinsey-backed research puts the opportunity at $860 billion in annual gains from better experiences.
🤔 It’s promising, but we’re not rushing in.
Despite this, only 15% of execs say they’re ready to lead on AI—putting up to $1.3 trillion in value at risk while early adopters pull ahead.
😎 our take
Everyone’s talking about AI’s potential, but few are acting on it. The companies pulling ahead aren’t the ones with the biggest budgets, they’re the ones bold enough to lead and smart enough to know that without a solid framework, smart workflows, and a strong team behind it, even the best AI agent can fall flat. Transformation means pivoting from tool to teammate—and that takes commitment.
