AI’s Future Sounds Uncomfortable
AI has a lot of opinions about its own future. The real question is: should we believe them? As 2025 wraps, Jeff Keltner and Annie Delgado put ChatGPT on the hot seat—asking it to make bold predictions about what AI will look like in 2026. From the...
AI has a lot of opinions about its own future. The real question is: should we believe them?
As 2025 wraps, Jeff Keltner and Annie Delgado put ChatGPT on the hot seat—asking it to make bold predictions about what AI will look like in 2026. From the end of the model arms race, to AI “middle managers,” to a long-overdue reckoning on fairness and explainability, they break down what feels inevitable, what feels wildly premature, and what might just be wishful thinking.
Along the way, Jeff calls BS on one of ChatGPT’s boldest claims, Annie makes the case for a major policy shift the industry desperately needs, and together they explore what actually matters for leaders navigating AI in the real world—not on benchmarks, but in workflows, teams, and outcomes.
In this episode, we cover:
- Why raw model intelligence may stop being the main AI battleground
- The limits of AI autonomy inside real organizations
- A critical shift in how fairness and accountability should be measured
Relevant links:
- OpenAI announces faster, more consistent ChatGPT image editing
- Google rolls out Gemini 3 Flash as default across Gemini and Search
- Zoom unveils AI Companion 3.0 with multi-model orchestration
- OpenAI launches FrontierScience benchmark for real scientific reasoning
- Google enables live translation on Android headphones
- Google Labs previews CC daily Gemini email briefing agent
- Google, DeepMind, MIT study when multi-agent systems help or hurt
- Perplexity shares real-world usage data from Comet browser agent
- Bernie Sanders calls for data center construction moratorium