Even as these tools promise to make work easier, a lot of people are finding themselves more mentally exhausted than before.

People who thrive during technology shifts are usually the ones who play with the tools early, not necessarily the ones with the most credentials.

Should private AI companies should be allowed to draw ethical boundaries around their technology?

The era of “just let the AI do whatever it wants” may not last very long.

We asked our software engineering team a question: “Given how fast AI changes, how has your job changed in the past 6 months?” Their answers suggested that software engineers need to be a little like time travelers: figuring out how to apply tomorrow’s capabilities to today’s problems.

There’s a growing idea in the AI-driven tech world that quality can come from sheer volume. Build an app, rebuild it 20 times, run AI tests on each version, and then someone chooses the quality: the version that works best.

What if incorporating more AI into your business meant that you could invest less of your time, get more value from that time, and then be good humans, be compassionate to yourselves and others in the time and the freedom that that creates? You would essentially be able to give that AI benefit back to your employees to allow them more time to breathe, to deal with external stressors, and allow your employees to do more excellent work.

For this week’s post, we want to highlight an article by Arvind Narayanan & Sayash Kapoor from Columbia University. They say we should look at AI as "normal technology".

For this post, we asked our friend Travis Adney to discuss how his business utilizes AI. Travis is the Director of Innovation at Lawrence & Schiller and the Managing Director of their new Minneapolis office.