In a world buzzing with talk about artificial intelligence, many are left wondering why it hasn’t yet transformed daily life as expected. This post is our summary of an episode of the Dalton + Michael YouTube show, where Dalton Caldwell and Michael Seibel (both former Y Combinator partners, now Partners Emeritus) discuss the state of AI and the hype around it. We could not re-open the episode to check wording, so read the points below as a paraphrase of the discussion, not quotes.
Key Takeaways #
- AI is making strides in customer service, but it’s not as visible to everyday users.
- Developers see measurable productivity gains from AI coding tools like GitHub Copilot.
- AI’s impact may be larger than it looks, because much of it is behind the scenes.
- Historical context shows that major tech revolutions take time to unfold.
The Hype Cycle of AI #
The conversation around AI often swings between two extremes: it’s either overhyped or underhyped. The reality is that while some demos look impressive, the actual products can fall short. For instance, when you think about how often you use AI in your daily life, it might not be as frequent as you’d expect. Unlike the seamless integration of Google Search into our routines, AI hasn’t yet reached that level of ubiquity.
Customer Service: A Major Use Case #
One of the first areas where AI is making an impact is customer service. Most of us have had a frustrating experience with a telecom or airline support line. AI is being applied there, and you may not notice, because it happens behind the scenes.
- Why AI in Customer Service?
- It addresses a significant pain point in customer interactions.
- It’s competing against a system that is already failing.
- Some companies may be reluctant to advertise their AI support, for fear of job-loss concerns and bad press.
Developers and AI Tools #
For developers, the experience with AI is different. Tools like GitHub Copilot make coding more efficient. In a controlled experiment (Peng et al., 2023), developers with Copilot finished a programming task 55.8% faster than the control group. That is one study of one task, but it shows how AI can help a specific profession without making headlines.
Internet Research and Everyday Use #
AI is also reshaping how we conduct internet research. For instance, children today can ask questions and receive instant answers, making learning more interactive. This capability might not seem groundbreaking, but it’s a significant shift in how information is accessed and processed.
The Gig Economy and AI #
When we think about the impact of technology, it’s essential to consider the gig economy. Services like Uber and DoorDash have changed how we interact with the world. AI hasn’t yet created a similar revolution, but it’s worth noting that the gig economy took time to develop and normalize.
Historical Context Matters #
Reflecting on the past, it’s easy to romanticize the arrival of smartphones and other technologies. However, the truth is that these innovations didn’t change everything overnight. The same applies to AI. We might not see immediate, flashy results, but the groundwork is being laid for significant changes in the future.
Conclusion #
In conclusion, while AI might not be blowing our minds just yet, it is quietly making a difference in various sectors. The real impact may be subtle and behind the scenes. The journey of AI is just beginning, and it is worth keeping an eye on what comes next.
