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 (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: Reactive Chat Dies, Proactive AI Agents RiseVoice and Mobile Become AI Default InterfaceManager Threads Replace One-Off AI ChatsMultiplayer AI: Humans and Agents CollaborateCompany-Wide Vibe Operations with ChatGPT SitesAgent Native Workflows and Resources StandardizationSkill Reuse as Key Company MetricCompany Reasoning Data as Strategic GoldShift from Public Leaderboards to Private EvalsModel Routing Becomes AI Industry NormCheaper AI Intelligence, Anthropic Competition HeatsFortune 100 AI Token Spend EfficiencyCompute Power as New AI CurrencyLocalized AI Controversies and Election DeepfakesMainstream AI Backlash and Content DetectionMath Benchmarks Solved by Advanced AIToken Maxing Returns with Cost DeclineOpen Agents Crash Risks and CybersecurityRecursive 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. Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
