1 00:00:00,080 --> 00:00:02,600 Speaker 1: New research from Robert Half finds ninety one percent of 2 00:00:02,600 --> 00:00:04,680 Speaker 1: workers are using AI to help with their day to 3 00:00:04,720 --> 00:00:07,400 Speaker 1: day tasks and ninety three percent are open with their 4 00:00:07,640 --> 00:00:10,480 Speaker 1: higher ups about using it. But is it reducing the 5 00:00:10,520 --> 00:00:14,000 Speaker 1: importance of human employees? Tech commentator Oscar how is with 6 00:00:14,200 --> 00:00:14,800 Speaker 1: us this morning? 7 00:00:14,840 --> 00:00:18,360 Speaker 2: Good morning, Oscar, morning Francesca. Thank you for having me on. 8 00:00:18,560 --> 00:00:20,520 Speaker 1: It used to be seen as almost cheating, didn't it. 9 00:00:20,560 --> 00:00:22,159 Speaker 1: We sort of hit the fact that we might be 10 00:00:22,239 --> 00:00:24,680 Speaker 1: using AI. But is the perception of AI changing? 11 00:00:26,040 --> 00:00:29,160 Speaker 2: I think so. I think a lot of employees, especially 12 00:00:29,160 --> 00:00:33,640 Speaker 2: in rolls, traditional desk rolls, really opening themselves up to 13 00:00:34,040 --> 00:00:36,400 Speaker 2: using AI and their daily jobs, and they're not afraid 14 00:00:36,440 --> 00:00:38,159 Speaker 2: to be talking with their managers about it. 15 00:00:38,880 --> 00:00:40,919 Speaker 1: Why are we suddenly so open about using it? 16 00:00:42,120 --> 00:00:44,520 Speaker 2: I don't know. There was almost a shift in the culture. Really, 17 00:00:44,680 --> 00:00:48,040 Speaker 2: a new research out of Robert Half of the crypting 18 00:00:48,080 --> 00:00:51,280 Speaker 2: agency you mentioned, fifty six are using it on a 19 00:00:51,360 --> 00:00:54,959 Speaker 2: daily or near daily basis. You know, maybe the advancement 20 00:00:55,040 --> 00:00:57,760 Speaker 2: of some of these AI tools that were seeing are 21 00:00:57,800 --> 00:01:01,360 Speaker 2: making it, you know, are making their workloads so their 22 00:01:01,400 --> 00:01:03,440 Speaker 2: ability to work so efficient that it's something that you 23 00:01:03,520 --> 00:01:05,280 Speaker 2: kind of just have to bring up. You know. I mean, 24 00:01:05,840 --> 00:01:08,880 Speaker 2: if you can turn around a report in thirty seconds 25 00:01:08,880 --> 00:01:10,639 Speaker 2: that might have taken you a week. Perhaps your manager 26 00:01:10,640 --> 00:01:12,640 Speaker 2: may have started off in questions, so it might be 27 00:01:13,080 --> 00:01:15,320 Speaker 2: it might pay to be forthright in these situations. 28 00:01:15,480 --> 00:01:18,759 Speaker 1: Yeah, I mean, I've been told by a few ATR 29 00:01:18,840 --> 00:01:22,199 Speaker 1: people that actually, these days, you know, they are looking 30 00:01:22,240 --> 00:01:24,920 Speaker 1: for people who understand how to use it, as opposed 31 00:01:24,920 --> 00:01:29,240 Speaker 1: to once upon a time, you know, implying that you know, 32 00:01:29,319 --> 00:01:30,520 Speaker 1: you're kind of cheating on your job. 33 00:01:31,440 --> 00:01:36,000 Speaker 2: Yeah. No, I think it's becoming a real staple of 34 00:01:36,040 --> 00:01:39,040 Speaker 2: a lot of desk jobs. And I think, like you mentioned, 35 00:01:39,080 --> 00:01:41,480 Speaker 2: businesses are looking for people who have more than just 36 00:01:41,520 --> 00:01:45,360 Speaker 2: accurse through understanding of how AI works. Obviously, it's allowing 37 00:01:45,400 --> 00:01:48,080 Speaker 2: people to become more efficient. It's allowing them to get 38 00:01:48,080 --> 00:01:50,440 Speaker 2: their work done quicker and takes a lot of the 39 00:01:50,480 --> 00:01:53,960 Speaker 2: workload off. And yeah, I mean there's also the fact 40 00:01:53,960 --> 00:01:57,120 Speaker 2: that it can help you know, having an understanding of 41 00:01:57,160 --> 00:02:01,040 Speaker 2: AI can help you, you know, spot scam spot when 42 00:02:01,040 --> 00:02:04,560 Speaker 2: it's used maybe not so well. And yeah, I think 43 00:02:04,600 --> 00:02:06,800 Speaker 2: it's just improving people's ability to work. 44 00:02:07,800 --> 00:02:09,960 Speaker 1: What are the impacts of such a huge increase? Are 45 00:02:09,960 --> 00:02:10,959 Speaker 1: we putting jobs at risk? 46 00:02:12,960 --> 00:02:15,680 Speaker 2: I mean, that seems to be the fear at the moment, right, 47 00:02:15,720 --> 00:02:17,800 Speaker 2: And I almost wonder if a lot of these people 48 00:02:17,840 --> 00:02:21,040 Speaker 2: who are upskilling in the use of AI might be 49 00:02:21,120 --> 00:02:23,920 Speaker 2: doing so with that understanding that perhaps, you know, if 50 00:02:23,960 --> 00:02:26,840 Speaker 2: they're not on top of things, will maybe coming for 51 00:02:26,919 --> 00:02:30,200 Speaker 2: their jobs. I mean, at this point, eighty seven percent 52 00:02:30,240 --> 00:02:33,520 Speaker 2: of work are sampled in this survey said that they 53 00:02:33,560 --> 00:02:36,839 Speaker 2: think it's necessary for career success in the future. And yeah, 54 00:02:37,040 --> 00:02:39,240 Speaker 2: I tend to agree because I mean, if you, like 55 00:02:39,280 --> 00:02:41,280 Speaker 2: I said, like we said, it's so powerful and it 56 00:02:41,280 --> 00:02:43,120 Speaker 2: can turn around a lot of these creative or desk 57 00:02:43,200 --> 00:02:46,240 Speaker 2: roll you know, for a lot of these jobs, that 58 00:02:46,240 --> 00:02:49,280 Speaker 2: can turn around a lot of this work so quickly. Yeah, 59 00:02:49,280 --> 00:02:51,359 Speaker 2: I think there's a real possibility that some of these 60 00:02:51,400 --> 00:02:54,440 Speaker 2: roles might find themselves outpaced by technology in the next 61 00:02:54,440 --> 00:02:55,079 Speaker 2: few years. 62 00:02:55,360 --> 00:02:57,360 Speaker 1: Oscar, thank you so much for your thoughts this morning. 63 00:02:57,440 --> 00:03:00,079 Speaker 1: Really appreciate it. And of course we were talking to 64 00:03:00,080 --> 00:03:02,680 Speaker 1: today about the Oscars and how they've mentioned that you know, 65 00:03:02,880 --> 00:03:05,480 Speaker 1: if you happen to use AI in your film, it 66 00:03:05,520 --> 00:03:07,360 Speaker 1: doesn't mean that you won't win an Oscar. You were 67 00:03:07,440 --> 00:03:09,840 Speaker 1: still eligible and have an opportunity to win one of 68 00:03:09,880 --> 00:03:11,960 Speaker 1: the big Oscars. The reason they had to say that 69 00:03:12,040 --> 00:03:15,880 Speaker 1: was because actually, somewhere along the line in Hollywood, when 70 00:03:15,919 --> 00:03:18,120 Speaker 1: someone makes a film, AI is being used, whether it's 71 00:03:18,120 --> 00:03:21,440 Speaker 1: being used in the production stage and the post production stage, 72 00:03:21,560 --> 00:03:25,760 Speaker 1: Somewhere along the way, everybody's quietly using it. They didn't 73 00:03:25,760 --> 00:03:28,680 Speaker 1: want to admit it, but they are actually all quietly 74 00:03:28,800 --> 00:03:32,560 Speaker 1: using it in different ways. For more from earlier edition 75 00:03:32,639 --> 00:03:35,520 Speaker 1: with Ryan Bridge, listen live to news Talks it'd be 76 00:03:35,640 --> 00:03:39,440 Speaker 1: from five am weekdays, or follow the podcast on iHeartRadio.