Summary: Meetups, especially AI meetups, are back in SF.
Love to see it, but we're also seeing the same thing happen here in DC with the meetups I run, so it's not especially newsworthy?
The flow of venture capital dollars into AI and machine learning companies in San Francisco hit new highs this year, with start-ups raising $18.5 billion in the first quarter — about 82 percent of U.S. investments in the segment
I don't care to attend an AI meetup, but I just googled "sf ai meetup" as a thought experiment. First result is 3rd and mission. A very tame block. I could get on the N Judah and wind up near there and not face any of this "horrifying human experience". I do that same trip with my children since they were babies. It's no big deal. I would question the sanity of anyone who is concerned about that trip.
Have you been to SF? 95% of my trips around SF are far better than the average soul sucking drive around the rest of the country. Most of it has lovely architecture, beautiful parks, and great spots to stop into. For sure, there can be more extremes in the other direction, but imo they aren't that common and don't much bring down how much better the average is. Plus they're concentrated in tenderloin / civic center and most people will avoid that area to reduce ever encountering crazy stuff.
So yeah, not much.
Artificial intelligence (AI) has the potential to impact various aspects of the commercial real estate industry, but it may not have the ability to save or prevent a commercial real estate bubble on its own. The state of the commercial real estate market is influenced by a complex interplay of economic, financial, and market forces, and the rise or fall of a bubble is typically tied to broader economic conditions.
Here are some ways in which AI can be relevant to the commercial real estate industry:
1. Data Analysis: AI can help analyze large volumes of real estate data, such as property values, rental rates, and market trends, to provide insights to investors, developers, and property managers. This data analysis can inform decision-making and help identify investment opportunities.
2. Predictive Analytics: AI algorithms can be used to make predictions about future trends in the real estate market, which can aid in making informed investment decisions and risk assessments.
3. Automation: AI can automate various aspects of property management and maintenance, potentially reducing operational costs and increasing efficiency for property owners.
4. Risk Assessment: AI can assist in assessing the creditworthiness of tenants and help in the underwriting process for commercial real estate loans.
5. Virtual Tours and Visualization: AI-driven technologies can enhance property marketing by creating virtual property tours and realistic visualizations of properties.
While AI can provide valuable tools and insights, it cannot single-handedly save a commercial real estate bubble. The rise or fall of a real estate bubble typically involves a combination of factors such as interest rates, economic conditions, supply and demand dynamics, and investor sentiment.
To address issues related to a potential real estate bubble, it often requires a combination of government policy, prudent lending practices, and regulatory oversight. AI can be a part of the solution, but it is just one component of a complex ecosystem in the real estate industry.
Yes. If you’ve never experienced the value of an industrial cluster, it’s exhilarating. You still have to hustle. But the payoff on a single day well executed is exponential; meetings beget introductions and actions are decided on handshakes.
/s (sorta..)
That was the charlatan crap that took over in the last 10 years. Once upon a time, people actually cared about tech for it's own sake, and spent time geeking out and having meetups for the fun of it. Not everything was a "networking opportunity" to grift into a 6 figure PM role. I'd say 2014ish was about the time those things started becoming >50% nontechnicals and recruiters, which was about the same time that every last drop of real culture in that city made an exodus to the east bay.
It isn't necessarily or fundamentally, though. Public data was just the most accessible training corpus for the POC phase of adoption. Getty just released their first licensed model, and I suspect things like that will pick up steam as the tech has rapidly commoditized.
That being said we will probably end up with a supreme court ruling on this in the next five years, and I strongly believe it will come down on the side of fair use.
Escuse me, I have some tulip bulbs/crypto for sale.
Likewise, even though the dot-com bubble did have a lot of bankruptcies, the fundamental idea was right: the internet did, only a few years later, radically change how connected we all were, and now almost every business has at least some internet presence even if it's a roadside shack outside Nairobi[0] with a gmail account next to their phone number.
AI? It may likewise be too soon for this level of exuberance, leading to a market crash; and it may likewise lead to such a degree of post-scarcity in the specific job roles it can automate that those roles are subsumed entirely within 30 years by the name of the hardware or software that do those roles, with the wealth flowing to everyone else except those who worked them, and the stock market valuations of the supporting businesses remaining small compared to the overall economy.
No way to tell.
But I'm sure it's not tulips.
[0] https://www.google.com/maps/place/Curio+Shop/@-1.0622165,36....