Picture, if you will, a US-focused senior consultant at a global professional services firm. You are one of as many as 100,000 staff in your market, part of a multi-billion dollar business line, tasked with parsing complexity for clients, and creating a path forward. For the sake of storytelling, let’s call you Nate Bateleur.
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Our very own Christopher Schenker joins the panel on December 2 at 12 PM ET for the Environmental Law Institute’s webinar on DOE’s new large-load interconnection directive. If you work in interconnections, large loads, or utility policy, this is a can’t-miss discussion.
At Halcyon, we frequently share insights about what we are building, and how we are building them. Over the past two months, for instance, we have detailed three new data subscriptions, the public beta of our search capabilities, keynote presentations in New York, collaborations with RMI and Gridlab, and highlights from our ongoing scans of US regulatory corpora. Additionally, we have addressed topics such as precision, recall, and semantic commodification in search, as well as our efforts to move beyond traditional spreadsheets by using data subscriptions.
A key part of that progress is Halcyon Search, now in public beta. Built on our machine-readable foundation, it lets users find specific regulatory information in seconds—with precision, recall, and full transparency. It’s the core capability that speeds up your work and strengthens everything built on top of it.
There is something else worth reflecting on: why are we building what we are building. Why are we crawling and collecting documents from almost 60 state, regional, and federal publishers of regulatory information? Why are we developing search and query capabilities on top of those millions of documents? And why are we then constructing our data subscriptions on top of all of those capabilities? An outside perspective explains why, thanks to economists from the Federal Reserve Bank of St Louis.
In September 2024, the St. Louis Fed presented what it describes as “the first nationally representative survey of generative AI adoption at work and nonwork settings.” That study was critical at the time, and its relevance has only grown as its researchers continue to update their analysis quarterly. The latest quarterly review is a quick and insightful read, with one key finding: Generative AI may have increased labor productivity by up to 1.3% since the introduction of ChatGPT.
As always, a topline figure such as this contains multitudes, and the St. Louis Fed does an excellent job of breaking it down by industry. This chart captures it all in one frame: growth in labor productivity from generative AI and the amount of time gen AI is saving workers. An industry wants to be top right in this plot, where time savings are significant and labor productivity is increasing. However, not every industry can achieve this! In fact, government and hospitality show only modest time savings (less than one percent of work hours saved) and lower productivity growth. Yet, one industry stands out: information.
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Information is an area where generative AI is boosting productivity (by more than 5%) and saving workers valuable time (more than 3% of work hours per week so far). In both dimensions, information stands out as the most impactful.
Halcyon set out to build deep research capability in energy based on the conviction that new technology would enable greater efficiency and expedite the processing of critical information for companies investing trillions in energy infrastructure. This is the outlook of a forward thinking company: seeing opportunity where new technology intersects with a known challenge.
And in our case, it is also what the company does: Halcyon builds new capabilities designed to enhance the speed of your work (and save you time) and also makes your work better (by making you more productive). It is validating to see startup convictions borne out in frequently updated research, too.
The St Louis Fed’s research is here.
The latest from Halcyon
- Our newest data subscription: US utility rate case cost of capital tracker
- RMI’s analysis of 65 state-level large load tariffs tracked by Halcyon
- From Spreadsheets to Subscriptions
- Everything Old is New Again
And thanks to Exponential View for highlighting the St. Louis Fed’s analysis earlier this week
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