Ep 840: The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear
August 13, 2026
AI Summary
5 min readThe Next 12 Months of AI: 19 Predictions Every Business Leader Needs to Hear
In this solo episode of the Everyday AI Podcast, host Jordan Wilson delivers a dense, forward-looking roadmap for the school year ahead—19 predictions organized around a central thesis: the pace of AI change is accelerating so fast that waiting until December for annual predictions is no longer viable. "AI models are literally coming out about two to three times faster today than they were just nine months ago," Wilson says. His goal is to give listeners "the answers, not the syllabus" for what their companies should be focusing on right now.
From Reactive Chat to Proactive Agents
Wilson argues that the era of reactive chat—where you type a prompt and wait for a response—is dying, replaced by proactive agents that work autonomously. "The new normal is going to be waking up and reviewing what your AI already shipped overnight," he says. This shift is enabled by two converging trends: agents that can run continuously without human initiation, and the ability to easily save and reuse skills across tasks. Wilson points to OpenAI's Codex and ChatGPT work as early examples of this paradigm, along with Anthropic's Claude Code and Claude Work.
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What you'll learn
- 1 (00:00) **Episode Introduction & Thesis** - Jordan Wilson explains why this episode is a one-time roadmap of 19 AI predictions for the school year ahead, not a normal interview.
- 2 (03:30) **Prediction #19: Reactive Chat Dying, Proactive Agents Taking Over** - Wilson argues that the era of prompting every single response is ending, replaced by agents that work autonomously.
- 3 (06:23) **Prediction #18: Voice and Mobile Become Default AI Controls** - Wilson claims voice is becoming the primary interface, especially with ChatGPT's full-duplex voice mode.
- 4 (11:35) **Prediction #17: Manager Threads Replace One-Off Chats** - Wilson explains that AI conversations are no longer confined to single threads; now a "manager thread" can control other threads.
- 5 (13:50) **Prediction #16: Multiplayer AI – Humans and Agents Share Workspaces** - Wilson predicts that AI will become multiplayer by default, with teams and agents collaborating in the same digital room.
- 6 (16:17) **Prediction #15: Vibe Operations – Whole Company Starts Building** - Wilson says low-code/no-code platforms like ChatGPT Sites will let non-technical teams build apps and dashboards.
- 7 (19:21) **Prediction #14: Everything Goes Agent-Native** - Wilson argues that all resources—websites, processes, outputs—must be repurposed for agents to consume easily.
+ Full timestamped outline available in the app
Show Notes
The next 12 months of AI leaked.
Kinda.
For the past 90ish days, we've been quietly collecting evidence of what's next.
1,030 saved posts. 90 Podcasts. Countless conversations. Every model drop, every leak, every quiet product update the big labs hoped you'd scroll past.
Then we connected the dots.
What came out the other side: 19 calls on where AI goes over the next 12 months. And some of them are uncomfortable.
We're walking through all 19.
Bring your team's AI roadmap. You'll want to edit it. 👇
The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear -- An Everyday AI Chat with Jordan Wilson
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Topics Covered in This Episode:
- Reactive Chat Dies, Proactive AI Agents Rise
- Voice and Mobile Become AI Default Interface
- Manager Threads Replace One-Off AI Chats
- Multiplayer AI: Humans and Agents Collaborate
- Company-Wide Vibe Operations with ChatGPT Sites
- Agent Native Workflows and Resources Standardization
- Skill Reuse as Key Company Metric
- Company Reasoning Data as Strategic Gold
- Shift from Public Leaderboards to Private Evals
- Model Routing Becomes AI Industry Norm
- Cheaper AI Intelligence, Anthropic Competition Heats
- Fortune 100 AI Token Spend Efficiency
- Compute Power as New AI Currency
- Localized AI Controversies and Election Deepfakes
- Mainstream AI Backlash and Content Detection
- Math Benchmarks Solved by Advanced AI
- Token Maxing Returns with Cost Decline
- Open Agents Crash Risks and Cybersecurity
- Recursive Self Improvement (RSI) in AI Development
Timestamps:
00:00 Starting the AI 101 series More from this podcast