Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 878: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner (Replay)

October 10, 2026

AI Summary

5 min read

The AI Capability Gap Is Widening Faster Than Anyone Can Keep Up

After a week of meetings in San Francisco and Silicon Valley with people from big AI labs, AI startups, and enterprise companies, Jordan Wilson came back with an uncomfortable realization: even the people building the technology are struggling to keep pace with it. "Even for the people building all of the AI that we use," he says, "the acceleration is a huge problem." This episode organizes his observations into five trends, problems, and opportunities that emerged from those conversations — none of which are theoretical. They are already reshaping how companies operate, how workers learn, and what it means to be competent in AI.

Autonomous Vehicles Have Crossed a Threshold

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What you'll learn

1 (00:02) **Episode Setup & Trip Context** - Jordan Wilson explains why he's doing a solo episode based on recent conversations in San Francisco and Silicon Valley.
2 (05:21) **Five Takeaways Preview** - A quick list of the five major observations from the trip.
3 (06:18) **Trend 1: Autonomous Cars Are Better Than Human Drivers** - A personal, anecdotal argument that embodied AI has already surpassed human performance in transportation.
4 (10:42) **Trend 2: AI Generalists Don't Really Exist Anymore** - The rapid specialization of AI has made it nearly impossible for one person to stay fluent across all modalities.
5 (17:33) **Trend 3: AI Homework Is a Thing (But Shouldn't Be)** - The cutting edge of AI experimentation is being pushed to employees' personal time and home machines.
6 (24:06) **Trend 4: FOMAT (Fear of Missing Agent Time) Is Real** - Desktop AI agents are so powerful that users feel genuine pain when they have to close their laptops.
7 (26:23) **Trend 5: AI Acceleration Is the Biggest Problem and Opportunity** - The capability gap between what AI can do and what people actually use it for is widening dangerously fast.

+ Full timestamped outline available in the app

Guests on this episode

Jordan Wilson

Show Notes

What's coming next in AI? 🤔

While no one knows, spending time in Silicon Valley and San Francisco recently helped give me a better idea of what's around the corner.

So what should you be paying attention to?

Tune in LIVE as we discuss.

Ep 878: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner (Replay)

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Topics Covered in This Episode:

Autonomous Cars vs Human Drivers Analysis
Decline of AI Generalists in Workforce
Rise of AI Specialists and Translators
AI Homework Trend Among Office Workers
Challenges of Enterprise AI Training Gaps
FOMAT: Fear of Missing Agent Time
AI Agent Acceleration Problem and Opportunity
Impact of Rapid AI Development on Enterprises

Timestamps:

00:00 Recent trip and AI insights

05:08 Podcast takeaways from the past week

09:44 Testing autonomous vehicles on roads

13:22 Introduction to Start Here series

16:12 Importance of AI Integration Skills

20:09 Experimenting with AI at Home

21:58 Discussing AI workloads at home

26:16 Navigating AI tools and FOMO

29:05 AI labs opening up about models

30:49 AI capabilities are rapidly advancing

34:48 Join the newsletter feedback loop

Keywords:

AI trends, AI problems, AI opportunities, autonomous cars, autonomous vehicles, Waymo, driverless cars, human drivers, AI generalists, AI specialists, agentic AI, acceleration of AI, AI learning curve, AI homework, enterprise AI, AI skills gap, workplace AI adoption, knowledge gap in AI, AI education, AI training, digital transformation, AI modalities, text to text AI, agentic orchestration, trust and observability team