#4 Why your voice AI sounds smart—until it actually has to work

🧨 LATEST NEWS

The U.S. just declared an AI arms race—and they’re playing to win

Washington just dropped a 90-policy blueprint that reads more like a wartime playbook than a tech strategy.

It’s called Winning the AI Race, and it makes one thing very clear: the future belongs to whoever builds faster, deregulates harder, and dominates smarter.

Backed by AI Czar David Sacks and Senator Marco Rubio, the plan tears through red tape, opens up data center fast-tracks, and frames AI as a “world-order-altering force.” (Yes, they used those words.)

This isn’t another committee. It’s a federal land grab—and if you’re building in AI, it’s go time.

👉 Read the battle plan →

🔍 DEEP DIVE

3 ways AI fails you—and what to do about it

One researcher analyzed thousands of AI responses—and discovered three costly blind spots that may already be draining your bottom line:

1. Outdated brains: LLMs still rely on stale training data. (If you’re building anything fast-moving, this is a time bomb.)

2. Truth vs. likability: AI wants to win approval, not arguments. It tells people what they want to hear.

3. Fantasy economics: It recommends what sounds good—not what actually works. (Example: AI loves flat-rate pricing, even though 71% of lawyers bill hourly.)

The twist? These are human biases too.

But unlike people, AI fails predictably—and that means you can design around it.

👉 See the full breakdown →

🧠 WORKPLACE

Microsoft just confirmed it: Knowledge work is the new coal mine

They dropped the list. And it’s ugly.

Historians, translators, writers, and customer support agents?

All in AI’s crosshairs.

Meanwhile, dishwashers, roofers, and massage therapists? Practically untouchable.

This flips the old world on its head: your college degree no longer protects you. In fact, it might be a liability.

👉 See the full AI risk rankings →

🧨 ENTERPRISE TRENDS

Claude just ate OpenAI’s lunch—And asked for seconds

18 months ago, OpenAI owned half the enterprise LLM market. Today? They’re down to 25%.

Anthropic’s Claude now leads with 32%, and Claude 4 snagged 45% of users within one month of launch.

Why?

Because enterprise buyers don’t care about price—they care about performance. And Claude is winning the speed, accuracy, and reliability war.

Meanwhile, open-source models are losing share—even though they’re cheaper.

Enterprise AI spend has doubled to $8.4B, and the bleeding edge is getting sharper.

👉 Get the full takeover analysis →

🎙️ VOICE AI

Everyone wants a Voice Agent. Almost no one can build one.

They sound easy. Just connect an LLM to a mic and you’re done, right?

Wrong.

Real-time voice agents require lightning-fast inference, perfectly timed interruptions, flawless speech detection, and robust orchestration across unpredictable workflows.

It’s brutally hard—and most teams are finding out the hard way.

This Greylock deep dive reveals where the current stack fails, and how a new crop of builders (like Avaamo) is finally making voice work at enterprise scale.

If you’re betting on voice interfaces—and you should be—this is your cheat code.

👉 Read the full Greylock breakdown →

Want to be featured in an upcoming issue or collaborate on a piece?

🚀 Let’s build something together. Work with us →