📚️ State of Enterprise AI

Hey folks,

Google Glass is back and this time it might actually work. Google announced it's launching AI-powered glasses with Gemini in 2026. Two versions are coming: audio-only glasses for talking to Gemini, and display glasses with microLED screens showing navigation and real-time translations. Meta's Ray-Ban partnership proved people will actually wear smart glasses if they don't look ridiculous, now Google's betting Gemini can out-AI them.

Let's dive in..

🤖 AWS Just Launched an AI That Codes for Days Without You

🐝 The Buzz: What if you could assign a Jira ticket and come back to a finished feature? AWS just unveiled "frontier agents" at re:Invent with AI that works autonomously for days without human intervention. The flagship is Kiro, and Amazon claims it cut an 18-month project down to 76 days with 80% fewer developers.

The numbers are absurd: AWS CEO Matt Garman says this isn't 10-20% productivity gains, it's "orders of magnitude more efficient." Kiro logged 250,000 users in its first three months. Startups get a year free. And Amazon made it their standard development environment across the entire company.

Real teams, real results:

• Amazon internal: 30-developer project scheduled for 18 months → 76 days with 6 people

• Kiro maintains persistent context across sessions, learning from every code review

• Connects to Jira, GitHub, and Slack to understand your team's workflow

• Assigns itself tasks from the backlog and works independently until done

Here's what's different: Kiro learns from your pull requests, architectural decisions, and team standards over time. It builds a "collective understanding" of your codebase. You assign work like you would to a junior developer.

The fleet is growing: AWS Security Agent turns weeks-long penetration testing into on-demand scans. AWS DevOps Agent handles operational tasks. All three are designed as shared team resources that get smarter the more your team uses them.

💡 Takeaway: The shift from "AI helps you code" to "AI codes for you" is here. If your team is still using Copilot-style autocomplete, you're now a generation behind. The autonomous agent era just started and AWS is betting the entire developer workflow on it.

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📊 State of Enterprise AI: ~60 Minutes Saved Daily

🐝 The Buzz: Is your team using AI the "right" way? OpenAI just dropped its first State of Enterprise AI report and the gap between power users and everyone else is huge. The average worker saves 40-60 minutes daily and heavy users are saving 10+ hours per week. That's basically an extra workday.

The numbers are big: Weekly messages grew 8x since last November. Reasoning token consumption jumped 320x in 12 months. And 75% of workers say they're now completing tasks they couldn't do before like coding, data analysis, custom workflows.

Real companies, real results:

• Indeed reports job seekers using AI Career Scout are 38% more likely to get hired and find jobs 7x faster

• Moderna compressed analytical work from weeks to hours in drug development

• BBVA built 4K+ Custom GPTs and automated 9K legal queries annually

• Intercom's Fin Voice resolves 53% of support calls without humans

But here's the gap: Frontier workers send 6x more messages than median employees and 17x more for coding. Among monthly active users, 19% have never tried data analysis, 14% never touched reasoning models, and 12% never used search. That's like paying for a full gym membership and only using the water fountain.

The skeptic's corner: An MIT study from August found 95% of organizations investing in AI saw "zero return" despite $30-40 billion in spending. OpenAI surveyed paying customers still using the product and not companies that tried and quietly canceled.

💡 Takeaway: The playbook from frontier users is clear: use AI across multiple task types (not just emails), enable data connectors, and build repeatable workflows. If your team isn't seeing 40+ minutes saved daily, stop asking ChatGPT to write your emails and try letting it analyze your spreadsheets too.

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💻️ How to Get Presentation Feedback with Gemini AI

Practice for your next presentation with Gemini 3 to get detailed feedback on your pacing and strengths.

• Go to Gemini

• Record yourself presenting to camera on a Phone

• Upload your footage to Gemini

• Prompt the following

Analyze my performance as a presenter on a scale of 1 - 100. In your feedback, give me detailed analysis on body language, gestures, eye contact and pacing. Recommend changes that can be improved on and give me a report I can analyze.

🐝 AI buzz bits

🤖 IShowSpeed is being sued for allegedly beating up a robot influencer. The creator with 50+ million followers met Rizzbot, a humanoid robot with 1 million followers and during a livestream allegedly punched it repeatedly, put it in a chokehold, and threw it to the ground.

📦 Amazon Nova Forge lets enterprises build custom frontier models for $100,000 per year, without Amazon's help. Customers access pre-trained checkpoints, blend proprietary data with Nova's training data, and deploy "Novellas" on Bedrock with enterprise-grade security.

🧠 A six-person startup just beat Google on the hardest reasoning benchmark without building any models. Poetiq is currently beating Gemini 3 Deep Think. The team built a "meta-system" that optimizes existing models rather than training new ones, integrating new model releases within hours.

⚡ GPT-5.2 arrives this week as OpenAI's response to getting benchmarked by Gemini 3 and Claude Opus 4.5. The update focuses on speed, reliability, and tool integrations rather than new capabilities.

🔥 AI productivity tools

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