Subvolts take Understand the next wave of AI trends, from specialist roles to agent acceleration, and their business impact. May 5, 2026 - Developers
- Learn about emerging AI trends and potential future challenges in AI development and integration.
- Business
- Understand the impact of AI specialists, enterprise AI adoption hurdles, and the rise of AI agents on business strategy.
- Everyday users
- Discover how AI is evolving, including trends like AI agents and the potential impact on daily tasks and work.
This episode provides a forward-looking analysis of AI trends and their practical implications, offering insights into industry shifts.
Ep 770: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Everyday AI host Jordan Wilson discusses five upcoming AI trends, problems, and opportunities in episode 770. Drawing insights from a recent Silicon Valley trip, Wilson covers topics like autonomous vehicles, the shift from AI generalists to specialists, enterprise AI challenges, and the rise of AI agents. The episode explores the impact of rapid AI development on businesses and individuals.
This episode looks at what's next in AI. It covers how AI might change jobs, how companies are using it, and new tools like AI agents that can do tasks. It helps you understand where AI is heading and why it matters.
This episode offers a forward-looking perspective on AI's evolution, relevant to anyone tracking the industry. It touches on the increasing demand for AI specialists and the challenges businesses face integrating AI, mirroring current discussions at frontier labs like Google Gemini and OpenAI. The focus on AI agents and the "Fear of Missing Agent Time" (FOMAT) highlights emerging consumer and enterprise use cases. It's for professionals and enthusiasts seeking to understand the practical implications of AI's rapid advancement and identify potential opportunities and hurdles.
- HostJordan Wilson
- Show: Everyday AI
- Episode Title: Ep 770: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner
- Host: Jordan Wilson
- Length: 35 minutes
- Topics Covered: Autonomous Cars vs Human Drivers Analysis, Decline of AI Generalists in Workforce, Rise of AI Specialists and Translators, AI Homework Trend Among Office Worker
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.
What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner -- An Everyday AI Chat with Jordan Wilson
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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 teams, AI job roles, job description changes, local AI models, open source AI, PDF parsing AI, MVP demos, FOMAT,
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- FOMAT
- Fear of Missing Agent Time
- The feeling of needing to quickly adopt AI agents before others do.
53 min44 min
Questions people ask
- What are the key AI trends discussed?
- The episode covers autonomous vehicles, the decline of AI generalists, the rise of AI specialists, AI homework trends, and enterprise AI challenges.
- What is FOMAT?
- FOMAT stands for Fear of Missing Agent Time, a concept related to the rapid development and adoption of AI agents.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Everyday AI.