front-end developments

🖤 we're loving: Thoughtful AI in action—proof robots can be raised right
🔮 we'll see: Is AI ready for the ultimate test? HLE says, “Not yet”
⚠️ say less: Fake AI headlines are ruining the news…again

back-end breakdown

hot take: customers don’t actually hate AI—they hate bad CX

Customers think they don’t want AI, but what they really don’t want is bad AI. Truth is, when AI is seamlessly integrated across channels, it doesn’t just match human service—it outperforms it.

🔢 semantics

• While 84% of businesses rate their CX highly, only 54% of consumers agree.
• Failure to personalize experiences risks alienating customers—61% abandon brands that don’t meet their expectations.
• Focusing on data quality and consolidation can help—Fender’s data-driven strategy reduced churn by 29% and boosted customer satisfaction.

📈 sentiment analysis

Customers say they want humans, not AI, but in reality they’re just begging companies for better CX. Build AI strategies that make support faster and more accessible, and the people will come. It starts with integrating AI and human roles effectively. If that’s not your strategy yet, we've got you covered.

ada recommends

Aligning your org on AI customer service 

▶️ Watch to stay ahead

Microsoft: What's next in AI customer service
📄 Read on your break

Superhuman AI: Decoding the future
🎧 Listen while you work

your AI doesn’t have a data problem—it has a trust opportunity

For years, businesses have treated AI like a brilliant rookie—full of potential but not quite ready for the big leagues. But AI doesn’t need more supervision—it needs more confidence. 2025 isn’t the year AI “earns trust.” It’s the year it proves it never should have lost it.

🔢 semantics

• Customers aren’t hesitating because they dislike automation; they haven’t seen AI get it right yet.
• The AI trust gap is real—64% of customers don’t want companies using AI in service interactions.
• AI reliability is the linchpin. Apple shut down its AI news summaries after fabricating headlines—a signal that companies are holding AI to a higher standard.

📈 sentiment analysis

The AI conversation is evolving. It’s not about convincing customers to accept AI—it’s about showing them why AI is worth trusting. The brands that position AI as a true problem-solver—not just a cost-saver—will set a new standard in CX.

the algorithmic divide

AI is coming for our jobs.

US News & World reports that advanced AI systems have the potential to create widespread job loss.

AI is creating more jobs.

85% of companies plan to reskill employees in AI-related fields to create 78 million jobs​ by 2030.

AI isn’t here to take jobs—it’s here to change them. The companies that thrive won’t be the ones replacing humans with machines, but the ones reskilling, adapting, and redefining work itself. The real winners? Workers who embrace AI as their ultimate career upgrade—not a pink slip.

byte-sized

🐕 Run, robo, run: A robot dog hits 100 meters in 10 seconds—greyhounds are officially on notice.

🔎 AI does chores: Operator is here to book your reservations, file expense reports, and maybe order your pizza, too​.

🇬🇧 AI overdose? The UK wants to “mainline AI” into the economy—side effects TBD.

🏭 Humanoids assemble!: Foxconn recruits humanoid robots for iPhone production—Iron Man cosplay not included​.

🧬 Lab nerds rejoice: The University of Bristol’s $276M AI supercomputer promises faster drug breakthroughs—just don’t ask it to brew coffee yet​.

📉 AI’s latest plot twist: DeepSeek’s model topped the App Store—then shut down. Open-source wins? Maybe. Smooth sailing? Not so much.