The team hits pause at the 2025 halfway mark to review their bold AI predictions made back in January. Using Gemini and Perplexity for verification, they examine which forecasts have come true, which are in progress, and which have shifted entirely. The conversation blends humor, data, and realism as they explore AGI confusion, agent proliferation, edge AI, healthcare advances, employment fears, and where the AI industry might land by year-end.
Key Points Discussed
The team predicted 2025 would be the year of agents, which has largely come true with GenSpark, Crew AI, and enterprise pilots rising, though architectures vary.
Agent workflows are expanding, but many remain closer to “smart workflows” than fully autonomous systems, often keeping humans in the loop.
Edge AI adoption is up 20% from 2024, driven by rugged, battery-efficient hardware for field deployment, and local LLM capabilities on devices.
Light-based chips and quantum compute breakthroughs are aligning with earlier predictions on hardware innovations enabling AI.
Pushback against AI adoption is growing in non-tech communities, with some creatives actively rejecting AI tools.
AGI definitions remain fuzzy and shifting, with Altman’s “moving the cheese” approach noted, while ASI (superintelligence) discussions increase.
In healthcare, AI is helping individuals identify rare conditions and supporting diagnostic discussions, validating predictions of meaningful but incremental change.
Concerns around job loss and neo-Luddite backlash are proving accurate, particularly in marketing and sales roles displaced by AI automation.
Jyunmi’s prediction of a major negative AI incident hasn’t occurred yet, but smaller breaches and deepfake misuse cases are rising.
Personal stories highlight how AI tools are improving everyday challenges, from health monitoring to child injury triage.
The group acknowledges the gap between curated AI demo use cases and the real-world friction people face with AI.
Upcoming predictions for the remainder of 2025 include deeper AI integration in healthcare, increased hardware independence for models, and sharper public scrutiny of AI’s economic impacts.
Timestamps & Topics
00:00:00 🎯 Recap intro: reviewing 2025 predictions
00:01:43 📈 Why waiting a year to check predictions is too long
00:03:14 🤖 Gemini vs. Perplexity for tracking predictions
00:06:52 🛠️ Year of the agents: what’s true, what’s not
00:12:25 🧩 Agent workflows vs. full autonomy
00:17:00 🌍 Edge AI adoption and rugged devices
00:22:32 ⚡ Light chips and quantum computing alignments
00:27:15 🚫 Growing pushback against AI adoption
00:29:12 🧠 AGI confusion and ASI hype
00:35:13 🩺 Healthcare AI: impactful, but incremental
00:44:27 ⚖️ Job loss fears and neo-Luddite reactions
00:54:40 ⚠️ Rising small-scale AI misuse and scams
01:00:36 📡 Future of scams using hyper-personalized AI
01:01:13 🎵 AI’s rising role in music (Snow, creative tools)
01:04:09 🪐 Large concept models emerging for reasoning
01:06:31 🗓️ Wrap-up: predictions list to Slack, future shows
#AI2025 #AIPredictions #AgenticAI #EdgeAI #AIHardware #AGI #AIHealthcare #AIJobLoss #AIBacklash #QuantumAI #LLM #DailyAIShow #AITrends
The Daily AI Show Co-Hosts:
Andy Halliday, Beth Lyons, Brian Maucere, Eran Malloch, Jyunmi Hatcher, and Karl Yeh
