Ep 840: The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear
Everyday AI Podcast – An AI and ChatGPT Podcast
AI Intelligence Is Becoming Much Cheaper
- Intelligence is rapidly getting cheaper and nearly matches top-tier models at far lower cost, squeezing some vendors.
- Jordan Wilson cites price drops like GBD‑5 Luda down 80% and many models delivering 95–99% of capability at 5–30% cost.
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
03:35 Yearly AI predictions roundup
07:54 Using full duplex AI assistants
09:45 Talking vs. Typing to AI
13:45 Breaking down AI silos
19:03 Turning processes agent-native
22:32 Skill development and reuse in AI
24:09 Bringing Slack DMs into Channels
29:46 Dealing with AI usage limits
30:45 AI startups revolutionizing knowledge work
35:46 AI strategy in Fortune 500 companies
40:11 AI impact on local politics
41:58 Concerns Over AI Watermarking
46:52 Experiencing token budget challenges
51:05 Sergey Brin prioritizes RSI at Google
52:06 Discussing AI model improvements
55:24 Closing and subscription reminder
Keywords:
AI predictions, AI trends, business AI strategy, proactive AI agents, reactive chat, AI operating systems, ChatGPT, Claude, Grokbot, voice and mobile AI control, full duplex agent, AI skills, skill reuse, manager threads, multiplayer AI, agent native, company reasoning data, private AI benchmarks, public leaderboards, private evals, model routing, AI token spend, open source models, compute scarcity, hardware scarcity, AI controversies, local AI data centers, AI deepfakes, AI backlash, AI content detectors, AI in politics, math solved by AI, token maxing, cyber defense, open agents, cybersecurity budget, recursive self improvement, RSI, Fortune 100 AI usage, AI workforce transformation, dashboard automation, AI for dashboards, no-code AI apps, business intelligence AI, automation skills, agent crashes, model overhang, vendor lock in, AI-powered cyberattacks, AI-driven skill creation, AI-enabled workflows, token efficiency, AI local hosting, cost-effective AI models, enterprise AI adoption, AI asset management, company AI metrics.
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