- Hey, Steve. It's Julie here. Of course, one of the questions that, you know, investors asking that one question, I think-- many of your clients probably are asking a question as well-- is it going to serve those various professionals or replace those various professionals, right? That's been a source of anxiety. And, Steve, let's be transparent. I'm asking partially for myself as a news professional, right, who consumes Reuters' content.

You know, how is AI sort of being used in that arena? And you all also are working with to train some of these large language models using Reuters' content. So I'm just curious sentiment wise inside the organization how that is being received.

STEVE HASKER: Yeah, Julie, it's a great question. And it's one we get quite often. I think it depends on the profession. Firstly and secondly, it's early days. But a couple of observations.

The first is in the tax and accounting and audit professions that we serve with one of the largest providers of content and content-driven technology, AI-driven solutions to that profession, there is an acute shortage in talent. So the number of people sort of coming through graduate schools, coming out of undergraduate going into tax and accounting and audit has dwindled over time.

And so therefore, the technology has a real role to play. The number of tax returns is going up. The complexity of tax returns are going up. The complexity of audits is going up. So the demand for the work continues to grow. And the complexity of the work continues to grow.

But there just aren't the qualified professionals to get through that work. So the technology has a real role to play. And this will not be one of those cases where, you know, there are sort of layoffs and retrenchments in my view because of that talent shortage.

And then similarly, if you go across to the Reuters' news bureaus, which operate in over 100 countries, you know, we are covering two wars. We are covering seismic changes in demographics, in financial markets in China, different parts of the world. The amount of news stories, whether it be breaking news or investigative work, market-moving news that we are across just continues to grow and grow and grow.

And so similarly, that-- whether it's generative AI or broader machine learning techniques, there's an acute need to integrate them into the news gathering and the curation and distribution process in ways that we haven't seen before just to cover the breadth of what's going on in the world. So we don't foresee layoffs or replacement of journalists and editors, photographers, videographers in any way, shape, or form because of that sort of supply-demand dynamic.