Results

Databricks said it will be valued at $188 billion after signing a term sheet for a funding round expected to close later this summer. The round will be led by existing investor Coatue.

Details about the round were sparse other than Databricks saying it will double down on its Unity AI Gateway, AI coworker Genie and Lakebase. Databricks didn't disclose its revenue run rate.

Databricks said it will be valued at $188 billion after signing a term sheet for a funding round expected to close later this summer. The round will be led by existing investor Coatue.

Detail about the round were sparse other than Databricks saying it will double down on its Unity AI Gateway, AI coworker Genie and Lakebase. Databricks didn't disclose its revenue run rate.

Quantinuum, Rolls-Royce, Riverlane and EPCC, the UK National Supercomputing Centre based at the University of Edinburgh inked an agreement to gauge quantum computing's impact on industrial design and workflows. Quantinuum will provide access to its Helios systems with Rolls-Royce providing industrial design use cases and expertise. Riverlane will provide quantum error correction knowhow. EPCC will provide supercomputing expertise.

Quantinuum recently completed an IPO.

Economists are urging policymakers to understand and respond to AI job disruptions.

The full text of this letter is here:

AI may become radically more powerful over the next 10 years.

This could drive an unprecedented transformation of our economy, larger than the Industrial Revolution, but unfolding over a vastly shorter time frame. It could bring risks, including large-scale job displacement, as well as opportunities such as major gains in living standards.

Economists, policymakers and technology leaders must act now to understand the economics of transformative AI and to build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society.

Boy, that's a touch academic.

This letter got a lot of press and frankly I'm not sure why. There's a bit of alarm ringing and that's great if job displacement actually happens because you can say "I told you so." If it doesn't rest assured we'll forget these three paragraphs.

A few thoughts:

1. The key words here are "could" and "may."
2. We don't know how this turns out or whether AI can live up to its hype.
3. AI has been blamed for layoffs, but honestly most of the cuts were due to overhiring during Covid.
4. Timing is everything. We don't know if we're talking job displacement in 4 months, 4 years or 40 years.

Bottom line: AI job displacement should be studied, but the jury is out on what needs to happen. Can you really "build the incentives, guardrails, and institutions" based on what you hope AI will do?