1 00:00:04,160 --> 00:00:07,000 Speaker 1: Welcome to the Business of Tech powered by two Degrees Business. 2 00:00:07,040 --> 00:00:10,160 Speaker 1: I'm Peter Griffin from Business Desk and on this week's episode, 3 00:00:10,240 --> 00:00:14,200 Speaker 1: we're surveying the science and innovation landscape from the other 4 00:00:14,360 --> 00:00:18,119 Speaker 1: side of the political isle. Labour MP for christ Church 5 00:00:18,239 --> 00:00:21,759 Speaker 1: East Reuben Davidson has been in Parliament since late in 6 00:00:21,840 --> 00:00:24,639 Speaker 1: twenty twenty three, and a few months ago was given 7 00:00:24,680 --> 00:00:30,040 Speaker 1: a rather attractive and important collection of shadow portfolios, including Science, 8 00:00:30,080 --> 00:00:35,080 Speaker 1: Technology and Innovation and Broadcasting, Media and a Creative Economy. 9 00:00:35,479 --> 00:00:39,120 Speaker 1: As you'd expect, Davidson isn't very impressed with the Coalition 10 00:00:39,200 --> 00:00:43,040 Speaker 1: government's approach in these policy areas, particularly in what Labour 11 00:00:43,080 --> 00:00:47,920 Speaker 1: sees as destructive and indiscriminate cuts in funding for science 12 00:00:47,960 --> 00:00:52,120 Speaker 1: and innovation. Labour's also starting to formulate some ideas on 13 00:00:52,400 --> 00:00:57,160 Speaker 1: artificial intelligence policy. It held in AI summit recently in 14 00:00:57,240 --> 00:01:01,200 Speaker 1: Wellington to gather ideas on how to regulate AI and 15 00:01:01,280 --> 00:01:05,320 Speaker 1: promote its use among businesses, with the Labor Party leader 16 00:01:05,440 --> 00:01:10,360 Speaker 1: Chris Hopkins opening that forum. Ruben Davidson also has written 17 00:01:10,480 --> 00:01:13,720 Speaker 1: a private member's bill, which so far hasn't been selected 18 00:01:14,080 --> 00:01:19,320 Speaker 1: for introduction into Parliament, but which would impose a small 19 00:01:19,600 --> 00:01:24,040 Speaker 1: video on demand levy basically a digital tax on the 20 00:01:24,080 --> 00:01:29,080 Speaker 1: big foreign streaming platforms like Netflix, Amazon Prime Video, Disney 21 00:01:29,120 --> 00:01:33,639 Speaker 1: Plus and Apple TV. The revenue generated from that levy 22 00:01:34,200 --> 00:01:38,600 Speaker 1: on those platform providers, which Davidson points out pay very little, 23 00:01:38,640 --> 00:01:42,679 Speaker 1: if any local tax, would go into a local content 24 00:01:42,800 --> 00:01:46,479 Speaker 1: fund to help the local production industry, which is where 25 00:01:46,560 --> 00:01:49,120 Speaker 1: Davidson has spent most of his career as a TV 26 00:01:49,240 --> 00:01:52,520 Speaker 1: producer of shows including What Now. So a lot of 27 00:01:52,560 --> 00:01:56,400 Speaker 1: groundcovered in this interview with Ruben Davidson, who, let's face it, 28 00:01:56,400 --> 00:01:58,280 Speaker 1: by the end of next year, could be the man 29 00:01:58,320 --> 00:02:01,760 Speaker 1: in charge of science, tech and broadcasting policy. 30 00:02:01,880 --> 00:02:03,120 Speaker 2: Here's the interview. 31 00:02:09,000 --> 00:02:12,200 Speaker 1: Rubin Davidson. Welcome to the business of tech. How are 32 00:02:12,200 --> 00:02:12,560 Speaker 1: you doing. 33 00:02:13,000 --> 00:02:15,240 Speaker 2: I'm doing very well. Thank you for having me, Thank you. 34 00:02:15,160 --> 00:02:17,560 Speaker 1: For the invitation, pleasure to have you on and great 35 00:02:17,600 --> 00:02:22,079 Speaker 1: to connect. You were elected to Parliament in October twenty 36 00:02:22,200 --> 00:02:27,560 Speaker 1: twenty three, succeeding Poto Williams. Bit of a bittersweet I 37 00:02:27,560 --> 00:02:30,600 Speaker 1: guess victory for you. That was a pretty bad election 38 00:02:30,840 --> 00:02:33,160 Speaker 1: for labor. You were one of the only new I 39 00:02:33,160 --> 00:02:35,440 Speaker 1: think Labor MPs to come in in that cohort. 40 00:02:36,160 --> 00:02:37,040 Speaker 2: Yeah, yeah, it was. 41 00:02:37,320 --> 00:02:39,760 Speaker 3: It was not the result that we had hoped for 42 00:02:40,160 --> 00:02:41,960 Speaker 3: and there were two of us that came in, so 43 00:02:42,040 --> 00:02:47,080 Speaker 3: myself and christ your cheest and Kushla Tonguaden Manuel in 44 00:02:47,440 --> 00:02:50,359 Speaker 3: koradafty one of the Maori seats, the only Maori seat 45 00:02:50,400 --> 00:02:54,000 Speaker 3: that we won in the North Island. So yeah, we've 46 00:02:54,639 --> 00:02:57,639 Speaker 3: given ourselves the title of head boy and head girl. 47 00:02:58,040 --> 00:03:02,960 Speaker 1: Good on you. You you were born in christ Church, you 48 00:03:03,040 --> 00:03:06,160 Speaker 1: live in I think North New Brighton at the moment. Yeah, 49 00:03:07,120 --> 00:03:10,000 Speaker 1: and so tell us a little bit for listeners who 50 00:03:10,040 --> 00:03:15,480 Speaker 1: aren't so familiar with your background, your pathway into politics, 51 00:03:15,480 --> 00:03:18,399 Speaker 1: but also your professional career, what you were doing beforehand. 52 00:03:18,919 --> 00:03:23,600 Speaker 3: Yeah sure, so, I mean my background is in broadcasting 53 00:03:23,600 --> 00:03:27,440 Speaker 3: and media. So when I finished school, did a degree 54 00:03:27,520 --> 00:03:32,560 Speaker 3: a Bachelor of Broadcasting Communications and men started working for 55 00:03:32,760 --> 00:03:35,960 Speaker 3: TV inzt Up in Auckland, so initially as an intern, 56 00:03:36,080 --> 00:03:37,600 Speaker 3: and that was back in the days when there was 57 00:03:37,600 --> 00:03:40,840 Speaker 3: a lot of internal production within TV inst so a 58 00:03:40,880 --> 00:03:43,640 Speaker 3: really good opportunity to work across a number of shows, 59 00:03:44,080 --> 00:03:47,800 Speaker 3: a number of very different shows in fact, anything from 60 00:03:48,080 --> 00:03:53,760 Speaker 3: Maggie's Garden Show to Big Brother to Music Week to Havoc, 61 00:03:54,000 --> 00:03:57,360 Speaker 3: so a real mixed bag and at times working on 62 00:03:57,400 --> 00:03:59,640 Speaker 3: two shows at the same time, two very different shows 63 00:03:59,640 --> 00:04:03,400 Speaker 3: at the same time, so a great a great time 64 00:04:03,440 --> 00:04:07,560 Speaker 3: to work in television, a real contrast to the environment 65 00:04:07,600 --> 00:04:12,840 Speaker 3: that media is operating in now. And then I left 66 00:04:12,840 --> 00:04:15,920 Speaker 3: TVNZ after about four and a half five years and 67 00:04:16,240 --> 00:04:19,120 Speaker 3: came back to christ Church, which is my hometown, and 68 00:04:19,360 --> 00:04:22,080 Speaker 3: took up a job working for White Bait Media as 69 00:04:22,080 --> 00:04:26,440 Speaker 3: an associate producer on What Now. And that was a 70 00:04:26,480 --> 00:04:31,359 Speaker 3: great opportunity to really join together. At that point in time, 71 00:04:31,839 --> 00:04:34,960 Speaker 3: pretty new tech which allowed us to broadcast from just 72 00:04:35,000 --> 00:04:38,760 Speaker 3: about anywhere with two people and a satellite dish and 73 00:04:38,800 --> 00:04:39,680 Speaker 3: a crew of three. 74 00:04:40,040 --> 00:04:41,440 Speaker 2: We'd now be able to do better with. 75 00:04:41,400 --> 00:04:44,400 Speaker 3: Our phone, but at the time it was really exciting 76 00:04:44,440 --> 00:04:49,040 Speaker 3: to be able to meet local people, local children, local 77 00:04:49,200 --> 00:04:53,360 Speaker 3: small towns around New Zealand into mainstream media and onto 78 00:04:53,440 --> 00:04:57,160 Speaker 3: What Now, and I spent the next eighteen years at 79 00:04:57,200 --> 00:05:00,720 Speaker 3: White Bait. I went on to produce Now and then 80 00:05:00,760 --> 00:05:05,560 Speaker 3: I went into content development, so developing ideas, pitching them 81 00:05:05,600 --> 00:05:09,360 Speaker 3: up to networks, getting them funded and then producing them ultimately, 82 00:05:09,440 --> 00:05:14,080 Speaker 3: so anything from the Adam and Eve Show through to 83 00:05:14,360 --> 00:05:16,760 Speaker 3: f Animals, and when I finished up, the last show 84 00:05:16,800 --> 00:05:21,839 Speaker 3: I worked on was Brainbusters, so essentially the Chase for kids. 85 00:05:22,240 --> 00:05:27,119 Speaker 1: Yeah, and in about twenty nineteen you served on the 86 00:05:27,560 --> 00:05:31,640 Speaker 1: community board down there. So what triggered your desire to 87 00:05:31,640 --> 00:05:32,560 Speaker 1: get into politics. 88 00:05:33,240 --> 00:05:33,480 Speaker 2: Yeah. 89 00:05:33,520 --> 00:05:36,520 Speaker 3: Look, I mean I've probably always been a relatively politically 90 00:05:36,560 --> 00:05:40,000 Speaker 3: active person, and I would encourage others to be the same. 91 00:05:41,240 --> 00:05:43,679 Speaker 3: But I mean at high school, I was on school 92 00:05:43,720 --> 00:05:46,040 Speaker 3: board of trustees, so I was quite politically active at 93 00:05:46,040 --> 00:05:49,479 Speaker 3: that point in time. That was motivated by the fact 94 00:05:49,520 --> 00:05:52,440 Speaker 3: that teachers were allowed to smoke at school, but students weren't. 95 00:05:52,640 --> 00:05:55,799 Speaker 3: I wasn't a smoker, but I thought that seemed pretty unfair. 96 00:05:56,400 --> 00:05:59,479 Speaker 3: So eventually no one was allowed to smoke at school, 97 00:05:59,480 --> 00:06:04,480 Speaker 3: which maybe really popular with the teachers. But I went 98 00:06:04,560 --> 00:06:07,640 Speaker 3: on to you just volunteer over the years for different 99 00:06:07,920 --> 00:06:13,279 Speaker 3: campaigns or you know, over different elections, and then I 100 00:06:13,520 --> 00:06:20,640 Speaker 3: started to get more formally involved and got elected into 101 00:06:20,720 --> 00:06:22,920 Speaker 3: local bodies. So being on a community board and then 102 00:06:23,040 --> 00:06:25,640 Speaker 3: becoming the chair of a community board there was a really, 103 00:06:25,640 --> 00:06:29,040 Speaker 3: really good opportunity to serve a community that I loved 104 00:06:29,080 --> 00:06:33,039 Speaker 3: being part of, but also to get a really good 105 00:06:33,080 --> 00:06:36,920 Speaker 3: grounding and understanding of the difference between management, which is 106 00:06:36,960 --> 00:06:39,800 Speaker 3: what I've done a lot in television and governance. 107 00:06:39,880 --> 00:06:42,560 Speaker 2: Which is what the community board role ultimately was. 108 00:06:43,480 --> 00:06:46,839 Speaker 3: And I also had had the opportunity from that governance 109 00:06:46,880 --> 00:06:51,520 Speaker 3: perspective to also sit on the Sparta Board and that 110 00:06:51,640 --> 00:06:55,480 Speaker 3: was a really, really good chance to engage with fellow 111 00:06:55,520 --> 00:06:59,279 Speaker 3: practitioners in the industry but also with different levels of 112 00:06:59,560 --> 00:07:03,800 Speaker 3: government industry around what the needs were at a time 113 00:07:03,839 --> 00:07:07,080 Speaker 3: when we could see that there was trouble on the 114 00:07:07,120 --> 00:07:12,880 Speaker 3: horizon and ultimately that's the trouble that's hit us now 115 00:07:13,000 --> 00:07:13,960 Speaker 3: in the media space. 116 00:07:14,680 --> 00:07:17,480 Speaker 1: Yeah, and we will get into that because you do. 117 00:07:17,760 --> 00:07:20,600 Speaker 1: You sort of have the dream collection of portfolios. From 118 00:07:20,640 --> 00:07:24,680 Speaker 1: my perspective, You've got science, technology and innovation as well 119 00:07:24,760 --> 00:07:29,560 Speaker 1: as broadcasting, media and the creative economy. So huge synergies 120 00:07:29,640 --> 00:07:33,760 Speaker 1: between all of those. Obviously, on the broadcasting media, creative 121 00:07:33,760 --> 00:07:36,760 Speaker 1: economy stuff, you've got a huge depth of knowledge there. 122 00:07:36,800 --> 00:07:40,160 Speaker 1: You totally understand the TV production industry, which is a 123 00:07:40,360 --> 00:07:43,960 Speaker 1: huge flux at the moment. How do you feel about 124 00:07:44,000 --> 00:07:49,320 Speaker 1: taking on that science innovation We've seen Judith Collins, Shane Retti, 125 00:07:49,800 --> 00:07:54,480 Speaker 1: David Clark from Labor, Megan Woods was in that role 126 00:07:54,720 --> 00:07:57,360 Speaker 1: for a while. Some of them have had some science background, 127 00:07:57,480 --> 00:08:00,160 Speaker 1: some of them haven't. Do you need it for a 128 00:08:00,200 --> 00:08:02,880 Speaker 1: portfolio like Science and Innovation, you know. 129 00:08:02,960 --> 00:08:07,280 Speaker 3: It's it's an enormous privilege and I'm hugely, hugely excited 130 00:08:07,400 --> 00:08:11,080 Speaker 3: by the by the by both portfolios, but by all 131 00:08:11,160 --> 00:08:15,160 Speaker 3: elements of each of them as well. I'm pleased to 132 00:08:15,280 --> 00:08:18,040 Speaker 3: say that you don't have to be a scientist to 133 00:08:18,280 --> 00:08:20,560 Speaker 3: hold the Science portfolio. And I will be the first 134 00:08:20,560 --> 00:08:23,280 Speaker 3: person to tell you I'm definitely not a scientist, but 135 00:08:23,360 --> 00:08:27,680 Speaker 3: you do have to understand science and ultimately to have 136 00:08:28,040 --> 00:08:30,840 Speaker 3: and I do an enormous amount of respect for those 137 00:08:30,840 --> 00:08:34,120 Speaker 3: people who work in that sector and the importance and 138 00:08:34,200 --> 00:08:37,000 Speaker 3: the value of the work that they do in the 139 00:08:37,000 --> 00:08:40,640 Speaker 3: sciences and from the field trips I've had so far, 140 00:08:40,800 --> 00:08:44,040 Speaker 3: the conversations and engagement that I've had with with our 141 00:08:44,120 --> 00:08:51,760 Speaker 3: science community so far, I'm absolutely amazed and inspired by 142 00:08:52,000 --> 00:08:55,480 Speaker 3: the work that they're doing and the is you know. 143 00:08:55,400 --> 00:08:58,679 Speaker 2: The value that that work has. 144 00:08:58,440 --> 00:09:04,680 Speaker 3: For yes, financially, but also from an environmental and from 145 00:09:04,720 --> 00:09:11,760 Speaker 3: a community perspective. It's amazing to see the kind of Yeah, 146 00:09:11,800 --> 00:09:14,040 Speaker 3: the kind of work that's taking place in that space 147 00:09:14,080 --> 00:09:15,319 Speaker 3: of New Zealand or has. 148 00:09:15,160 --> 00:09:18,920 Speaker 1: Been Yeah, and through that lends I guess your predecessor 149 00:09:19,080 --> 00:09:23,760 Speaker 1: in that sort of portfolio. Doctor Deborah Russell was quite 150 00:09:23,800 --> 00:09:27,440 Speaker 1: critical in December off the cuts to the Milestone fund, 151 00:09:27,520 --> 00:09:31,120 Speaker 1: taking humanities and social science, you know, out of that 152 00:09:32,080 --> 00:09:36,199 Speaker 1: funding bucket. Labor's been quite critical of the cuts to 153 00:09:37,440 --> 00:09:40,240 Speaker 1: scientists in the in the public sector. You know, around 154 00:09:40,280 --> 00:09:44,080 Speaker 1: about five hundred jobs between people going from Callahan University 155 00:09:44,160 --> 00:09:48,400 Speaker 1: job CRI job, so Labour's been quite vocal about that. 156 00:09:48,960 --> 00:09:52,160 Speaker 1: But you know, reflecting on the last few years of 157 00:09:52,280 --> 00:09:55,320 Speaker 1: Labour's approach to science and innovation, you know, my take 158 00:09:55,360 --> 00:09:57,199 Speaker 1: on it would be that I think Labor left it 159 00:09:57,240 --> 00:10:00,160 Speaker 1: way too late in its second term in government to 160 00:10:00,640 --> 00:10:03,520 Speaker 1: really get the ball rolling on some of its changes 161 00:10:03,559 --> 00:10:07,080 Speaker 1: in this space. You had the Green Paper, the Future Pathways, 162 00:10:07,400 --> 00:10:10,040 Speaker 1: you know, solid piece of work, but never came to 163 00:10:10,120 --> 00:10:13,839 Speaker 1: fruition before the election and it was sort of dismantled 164 00:10:13,840 --> 00:10:17,760 Speaker 1: by the you know, the Coalition government. You had the 165 00:10:17,760 --> 00:10:24,240 Speaker 1: Industry Transformation Plan, you had Agritech, Digital Advanced Manufacturing. Some 166 00:10:24,280 --> 00:10:26,960 Speaker 1: really good work went into all of that, but again, 167 00:10:27,000 --> 00:10:30,520 Speaker 1: because it was left late in the sort of second term, 168 00:10:30,679 --> 00:10:33,480 Speaker 1: it was very easy for National to come in and 169 00:10:33,480 --> 00:10:35,440 Speaker 1: say no, we're just going to do away with that 170 00:10:35,559 --> 00:10:38,200 Speaker 1: as well. Do you think that on reflection, was a 171 00:10:38,240 --> 00:10:41,880 Speaker 1: real problem for your predecessors that they had some big ideas, 172 00:10:41,920 --> 00:10:44,480 Speaker 1: they saw the need to change, but they left it 173 00:10:44,520 --> 00:10:45,400 Speaker 1: a little bit too late. 174 00:10:46,720 --> 00:10:49,280 Speaker 2: Yeah, there's a couple couple of things there, really, I guess. 175 00:10:49,520 --> 00:10:53,640 Speaker 3: I mean, I wasn't there in that in that previous term, 176 00:10:54,280 --> 00:10:56,960 Speaker 3: our most recent term and government. But I think we're 177 00:10:57,000 --> 00:10:59,200 Speaker 3: all aware that there were a number of things that 178 00:10:59,240 --> 00:11:02,480 Speaker 3: no one must expect to happen, and that to a 179 00:11:02,559 --> 00:11:06,199 Speaker 3: large extent made it really difficult to do some of 180 00:11:06,240 --> 00:11:10,120 Speaker 3: the things that would have been good and that that 181 00:11:10,240 --> 00:11:14,319 Speaker 3: had been desired to happen, and that certainly change in 182 00:11:14,440 --> 00:11:18,079 Speaker 3: this space in our science sector was one of those things. 183 00:11:18,440 --> 00:11:21,400 Speaker 2: But I think, on balance, I'm very. 184 00:11:21,200 --> 00:11:23,719 Speaker 3: Proud of the legacy that that government has and at 185 00:11:23,720 --> 00:11:28,480 Speaker 3: the response to COVID that that we rolled out, I 186 00:11:28,480 --> 00:11:31,560 Speaker 3: think that was remarkable. I think what we're what we've 187 00:11:31,640 --> 00:11:37,120 Speaker 3: seen in this current government's approach, and I share, you know, 188 00:11:37,160 --> 00:11:43,240 Speaker 3: the previous spokesperson, Debrah's sentiments on this. We've seen a 189 00:11:43,400 --> 00:11:49,040 Speaker 3: very destabilizing approach and we're in the media sector, we 190 00:11:49,120 --> 00:11:51,240 Speaker 3: can see that there was a crisis that we were 191 00:11:51,280 --> 00:11:54,240 Speaker 3: heading toward. It feels very much to me in the 192 00:11:54,280 --> 00:11:57,000 Speaker 3: science sector that this is a this is a crisis 193 00:11:57,240 --> 00:12:02,880 Speaker 3: that's been created so and I'm not suggesting necessary that 194 00:12:02,880 --> 00:12:07,080 Speaker 3: that's intentional, but if it's unintentional, then that doesn't also 195 00:12:07,160 --> 00:12:08,040 Speaker 3: make it any better. 196 00:12:08,480 --> 00:12:09,400 Speaker 2: I think there's. 197 00:12:09,200 --> 00:12:14,520 Speaker 3: Been a huge level of uncertainty that's been created through 198 00:12:14,559 --> 00:12:18,120 Speaker 3: the change and the cuts, and I think that one 199 00:12:18,160 --> 00:12:21,440 Speaker 3: of the things that struck me from my first visit 200 00:12:23,400 --> 00:12:28,520 Speaker 3: with the new portfolio was that science and our science 201 00:12:28,520 --> 00:12:32,640 Speaker 3: community don't work to the electoral cycle. There's a long, 202 00:12:33,480 --> 00:12:38,199 Speaker 3: long valuable projects and when you see a pendulum swing 203 00:12:38,800 --> 00:12:41,000 Speaker 3: as extreme as the one that we've seen in this 204 00:12:41,200 --> 00:12:44,880 Speaker 3: first eighteen months of this government, and the uncertainty that 205 00:12:44,880 --> 00:12:48,839 Speaker 3: that's created in the science sector, it's immensely destabilizing to 206 00:12:50,400 --> 00:12:55,560 Speaker 3: projects underway, but also to the workforce overall. That's too 207 00:12:57,000 --> 00:13:00,000 Speaker 3: people who are in New Zealand, internationals in New Zealand 208 00:13:00,160 --> 00:13:04,679 Speaker 3: assisting with research. It's two New Zealand residents who are 209 00:13:04,720 --> 00:13:08,360 Speaker 3: part of that science community and just aren't sure anymore 210 00:13:08,400 --> 00:13:12,439 Speaker 3: whether there's viable work for them. And it also has 211 00:13:12,480 --> 00:13:16,320 Speaker 3: a really detrimental effect to people who are considering science 212 00:13:16,400 --> 00:13:19,559 Speaker 3: as a future career and as a future opportunity and 213 00:13:20,120 --> 00:13:24,480 Speaker 3: some of the great and incredibly valuable jobs that exist 214 00:13:24,600 --> 00:13:31,040 Speaker 3: in that science sector really lose the viability that they 215 00:13:31,120 --> 00:13:33,760 Speaker 3: had because so much uncertainty is created. 216 00:13:34,400 --> 00:13:39,480 Speaker 1: Yeah, it's devastating for my colleagues in the science sector 217 00:13:39,480 --> 00:13:42,720 Speaker 1: who I talked to, you know, considering literally going for 218 00:13:42,920 --> 00:13:47,520 Speaker 1: greener pastures. Although the US has its own problems with 219 00:13:47,559 --> 00:13:50,920 Speaker 1: its science secret at the moment with the Doge knife 220 00:13:50,920 --> 00:13:55,680 Speaker 1: being wielded through there. So this is by no means 221 00:13:55,880 --> 00:13:58,360 Speaker 1: a New Zealand thing. But the headcount has gone down, 222 00:13:58,840 --> 00:14:03,560 Speaker 1: budgets have been in science. But you did recognize labor, 223 00:14:03,679 --> 00:14:06,760 Speaker 1: you know, years ago that change, structural change needed to 224 00:14:06,800 --> 00:14:09,080 Speaker 1: happen to how we do science and innovation. Our R 225 00:14:09,120 --> 00:14:12,760 Speaker 1: and D spend isn't increasing the way it should be. 226 00:14:14,120 --> 00:14:19,600 Speaker 1: Our Crown Research Institute weren't really working effectively together. Our 227 00:14:19,840 --> 00:14:23,280 Speaker 1: innovation system was fragmented and siloed. We kept hearing this 228 00:14:24,280 --> 00:14:27,800 Speaker 1: decade after decade, so change needed to happen. We've now 229 00:14:27,800 --> 00:14:32,000 Speaker 1: had Sir Peter Gluckman's report back the Science Sector Advisory Group. 230 00:14:32,440 --> 00:14:35,480 Speaker 1: The government has come back and said what it plans 231 00:14:35,520 --> 00:14:38,560 Speaker 1: to do. Where has that landed for you? Did it 232 00:14:38,600 --> 00:14:41,640 Speaker 1: reflect some of the things that labor wanted to see happen, 233 00:14:42,480 --> 00:14:44,960 Speaker 1: and which were outlined in that earlier sort of green paper. 234 00:14:45,960 --> 00:14:48,120 Speaker 2: Yeah. Look, I think I think the biggest thing is that. 235 00:14:50,560 --> 00:14:53,840 Speaker 3: We had identified that then that there was a need 236 00:14:53,880 --> 00:14:57,240 Speaker 3: for change in the sector and that there could be 237 00:14:57,240 --> 00:15:00,840 Speaker 3: benefit from having a look at the structure of you 238 00:15:01,080 --> 00:15:04,560 Speaker 3: the CRIS and that move to the pro model that 239 00:15:04,640 --> 00:15:10,120 Speaker 3: has transpired isn't necessarily all bad, but I think it's 240 00:15:10,160 --> 00:15:13,280 Speaker 3: the approach that for me is the thing that has 241 00:15:13,360 --> 00:15:16,720 Speaker 3: been the most damaging. So it's that lack of engagement, 242 00:15:16,800 --> 00:15:19,440 Speaker 3: lack of certainty, lack of in some case, as I 243 00:15:19,480 --> 00:15:25,040 Speaker 3: would suggest, respect of some really really crucial building blocks 244 00:15:25,120 --> 00:15:31,880 Speaker 3: of our science community. And as a result, it's very 245 00:15:31,880 --> 00:15:36,440 Speaker 3: hard to engage with people and bring them back on 246 00:15:36,520 --> 00:15:40,240 Speaker 3: board when the process has set out as badly as 247 00:15:40,280 --> 00:15:41,000 Speaker 3: this one has. 248 00:15:41,880 --> 00:15:47,000 Speaker 1: So there's a loss of trust in the mechanism really 249 00:15:47,560 --> 00:15:50,560 Speaker 1: in your view, that scientists have their views haven't been 250 00:15:50,640 --> 00:15:51,080 Speaker 1: listened to. 251 00:15:52,120 --> 00:15:54,960 Speaker 3: Yeah, that's certainly a sense that I get, and that 252 00:15:55,080 --> 00:16:01,920 Speaker 3: the change hasn't been well communicated or rational, and that 253 00:16:03,240 --> 00:16:07,520 Speaker 3: it's felt like rolling change rather than setting out a 254 00:16:07,560 --> 00:16:13,120 Speaker 3: picture of what the end result is and having the 255 00:16:13,160 --> 00:16:15,920 Speaker 3: conversations to bring people with you. It's felt very much 256 00:16:16,000 --> 00:16:19,200 Speaker 3: like something that's happening to our science community. 257 00:16:18,840 --> 00:16:22,960 Speaker 1: Not with yeah and undepending it all. No matter what 258 00:16:23,000 --> 00:16:26,200 Speaker 1: we do, how we shift around a deck chairs, whether 259 00:16:26,280 --> 00:16:29,320 Speaker 1: we create a new public research organization which is the 260 00:16:29,360 --> 00:16:33,120 Speaker 1: plan around advanced technologies, or merge the other ones, we're 261 00:16:33,160 --> 00:16:37,600 Speaker 1: still with a sinking lead on funding under this government. 262 00:16:38,160 --> 00:16:41,040 Speaker 1: As Debora Russell said, New Zealand only spends half the 263 00:16:41,040 --> 00:16:46,080 Speaker 1: OECD average on science research and development. Until we tackle 264 00:16:46,120 --> 00:16:50,000 Speaker 1: that fundamental funding problem, we're really going to be struggling 265 00:16:50,080 --> 00:16:53,880 Speaker 1: to do anything with infrastructure or the skills development that 266 00:16:53,920 --> 00:16:56,360 Speaker 1: we need for a decent innovation system. 267 00:16:57,480 --> 00:17:03,280 Speaker 2: Yeah. Yeah, and I think you know she's right, definitely. 268 00:17:04,280 --> 00:17:07,680 Speaker 1: Yeah. So I guess, you know, we haven't really heard 269 00:17:07,800 --> 00:17:10,680 Speaker 1: much yet, and it's normal, I guess early in the 270 00:17:10,720 --> 00:17:13,600 Speaker 1: cycle about you know, what Labor is planning to do. 271 00:17:13,640 --> 00:17:15,760 Speaker 1: I haven't seen much on the website other than the 272 00:17:15,840 --> 00:17:19,800 Speaker 1: sort of pressure press releases criticizing some of the government's moves. 273 00:17:19,840 --> 00:17:22,640 Speaker 1: But is there any central sort of theme to what 274 00:17:22,680 --> 00:17:27,800 Speaker 1: you're thinking around the science and innovation portfolio emerging so far? 275 00:17:28,680 --> 00:17:28,880 Speaker 2: Yeah? 276 00:17:28,920 --> 00:17:34,560 Speaker 3: Look, I mean to be fair, I've primarily in my 277 00:17:34,720 --> 00:17:37,960 Speaker 3: time in the spokesperson role. So far, it's really been 278 00:17:38,000 --> 00:17:42,560 Speaker 3: getting up to speed with what the current changes are 279 00:17:42,640 --> 00:17:48,439 Speaker 3: and the impacts those are having. So for me, that's 280 00:17:48,480 --> 00:17:50,199 Speaker 3: that's been a large part of the focus of the 281 00:17:50,240 --> 00:17:52,720 Speaker 3: last few weeks in the role has just been to go, Okay, 282 00:17:52,920 --> 00:17:55,639 Speaker 3: where is all of this landing, and who's been taken 283 00:17:55,680 --> 00:17:58,520 Speaker 3: on the journey and who's been left behind. I think 284 00:17:58,880 --> 00:18:04,520 Speaker 3: ultimately the continuous piece of feedback, or the consistent piece 285 00:18:04,520 --> 00:18:07,919 Speaker 3: of feedback I'm getting, is that we do need to 286 00:18:09,000 --> 00:18:10,639 Speaker 3: be doing more in this space. 287 00:18:10,760 --> 00:18:11,560 Speaker 2: It leads to. 288 00:18:13,040 --> 00:18:17,399 Speaker 3: Huge economic games for New Zealand. It creates amazing jobs 289 00:18:17,440 --> 00:18:20,720 Speaker 3: that bring people to the country but also provide fantastic 290 00:18:20,760 --> 00:18:24,359 Speaker 3: careers for local people in the sector, and so we 291 00:18:24,480 --> 00:18:28,000 Speaker 3: need to be looking at what more can we be 292 00:18:28,080 --> 00:18:33,959 Speaker 3: doing to support this sector into the future, rather than 293 00:18:34,000 --> 00:18:36,560 Speaker 3: the current approach which has not been doing that. 294 00:18:37,200 --> 00:18:43,400 Speaker 1: Yeah, A sort of sub category within science is artificial intelligence. 295 00:18:43,480 --> 00:18:48,920 Speaker 1: You recently held an AI summit, which unfortunately I wasn't 296 00:18:48,960 --> 00:18:53,240 Speaker 1: able to get to. Chris Hipkins sort of spoke at that. 297 00:18:53,480 --> 00:18:55,920 Speaker 1: You had a number of experts giving their views on AI. 298 00:18:56,280 --> 00:18:59,920 Speaker 1: What really shook out from that? What ideas did you 299 00:19:00,160 --> 00:19:03,160 Speaker 1: get from that to shape Labour's policy on AI. 300 00:19:03,800 --> 00:19:07,200 Speaker 2: Yeah, look, it was it was for us. 301 00:19:07,200 --> 00:19:09,119 Speaker 3: It was an opportunity to put the right people in 302 00:19:09,160 --> 00:19:13,639 Speaker 3: the room and to have a conversation that a number 303 00:19:13,680 --> 00:19:17,920 Speaker 3: of people myself included, just don't think has happened yet 304 00:19:17,960 --> 00:19:22,280 Speaker 3: in New Zealand. And so that one for us was 305 00:19:22,280 --> 00:19:26,560 Speaker 3: about Chris. Chris gave a really good opening address. Francis 306 00:19:26,640 --> 00:19:30,159 Speaker 3: Valentine also gave a really good scene set for the 307 00:19:30,240 --> 00:19:33,800 Speaker 3: room about where you know, where the world is at 308 00:19:33,880 --> 00:19:36,720 Speaker 3: and some New Zealand context around that. And we also 309 00:19:36,760 --> 00:19:40,280 Speaker 3: had a really good piece up top from David Torbert 310 00:19:40,320 --> 00:19:43,520 Speaker 3: who Torbert Mills, who had done a survey of those 311 00:19:43,560 --> 00:19:48,760 Speaker 3: in the room but also has research into wider perspectives 312 00:19:48,800 --> 00:19:52,640 Speaker 3: and opinions on artificial intelligence in the wider New Zealand populace. 313 00:19:53,040 --> 00:19:55,120 Speaker 3: So that gave us a really good scene set up 314 00:19:55,160 --> 00:19:58,280 Speaker 3: top before we stepped into two panels across the afternoon 315 00:19:58,640 --> 00:20:03,160 Speaker 3: to explore in the first panel, where have we gotten 316 00:20:03,240 --> 00:20:05,520 Speaker 3: up to and in the second panel, where do we 317 00:20:05,560 --> 00:20:09,520 Speaker 3: go now? It's probably the simplest, simplest single line summaries 318 00:20:09,560 --> 00:20:13,719 Speaker 3: for each of those, and the representation on those panels 319 00:20:13,880 --> 00:20:17,359 Speaker 3: was for me really important because what we wanted to 320 00:20:17,400 --> 00:20:19,600 Speaker 3: make sure was that we had a very good cross 321 00:20:19,640 --> 00:20:21,560 Speaker 3: section of opinion and perspectives. 322 00:20:22,119 --> 00:20:23,920 Speaker 2: So we needed to have. 323 00:20:25,600 --> 00:20:28,440 Speaker 3: Some industry there, some tech industry who are using AI, 324 00:20:28,880 --> 00:20:31,520 Speaker 3: but we also wanted to have strong academic perspective. 325 00:20:32,680 --> 00:20:34,720 Speaker 2: We wanted to have the worker's voice there. 326 00:20:35,000 --> 00:20:39,760 Speaker 3: There's some very real considerations for workers and workforce around 327 00:20:39,800 --> 00:20:44,919 Speaker 3: the impacts of AI policy perspectives, access and equity. We 328 00:20:45,000 --> 00:20:48,520 Speaker 3: had some very strong proponents and also data sovereignty, which 329 00:20:48,640 --> 00:20:53,360 Speaker 3: has some unique challenges and opportunities in the New Zealand context. 330 00:20:53,440 --> 00:20:58,240 Speaker 3: So really the that was the composition of the afternoon. 331 00:20:58,760 --> 00:21:01,720 Speaker 3: We had a number of other It was very well 332 00:21:01,760 --> 00:21:05,520 Speaker 3: attended and we did have your notice on those panels. 333 00:21:05,640 --> 00:21:08,639 Speaker 3: There's no big tech presence on those panels, but we 334 00:21:08,680 --> 00:21:12,040 Speaker 3: did have a number of representatives in the room and 335 00:21:12,480 --> 00:21:17,360 Speaker 3: around the conversations as well. So, I mean, the main 336 00:21:17,440 --> 00:21:21,280 Speaker 3: things that came out of the session across the afternoon 337 00:21:22,560 --> 00:21:25,959 Speaker 3: was the need for education and upskilling on the subject 338 00:21:26,000 --> 00:21:33,280 Speaker 3: of artificial intelligence across all communities. Definitely a strong conversation 339 00:21:33,600 --> 00:21:38,359 Speaker 3: and steering from the room towards regulatory frameworks, so looking 340 00:21:38,440 --> 00:21:42,199 Speaker 3: at what are the international examples that are really working 341 00:21:42,280 --> 00:21:46,600 Speaker 3: well and which parts of those are going to perform 342 00:21:46,680 --> 00:21:50,480 Speaker 3: and be needed in the New Zealand context. And specific 343 00:21:50,560 --> 00:21:55,040 Speaker 3: to that, really the tail Maldi perspective around how we 344 00:21:55,480 --> 00:22:01,399 Speaker 3: te kung into artificial intelligence and the bigger QUI around 345 00:22:01,480 --> 00:22:03,080 Speaker 3: sovereign AI for New Zealand. 346 00:22:04,440 --> 00:22:08,320 Speaker 1: Yeah, and that last one is particularly topical at the moment. 347 00:22:08,359 --> 00:22:10,439 Speaker 1: You talked about big tech not being on the panel 348 00:22:10,680 --> 00:22:14,320 Speaker 1: but being in the room, and there definitely is a 349 00:22:14,480 --> 00:22:19,600 Speaker 1: discussion burning around the world at the moment about our reliance, 350 00:22:19,640 --> 00:22:21,960 Speaker 1: and some would say over reliance in this country on 351 00:22:22,359 --> 00:22:26,840 Speaker 1: the big tech tech stack. We've built our government systems 352 00:22:26,880 --> 00:22:30,720 Speaker 1: and many of our businesses on us technology and now 353 00:22:30,760 --> 00:22:32,680 Speaker 1: have someone in the White House who on a whim 354 00:22:32,720 --> 00:22:36,919 Speaker 1: could sort of change the rules of the game around 355 00:22:37,119 --> 00:22:40,600 Speaker 1: technology that we can access. So this is something that 356 00:22:41,040 --> 00:22:44,240 Speaker 1: no government really in recent use, has given much thought to. 357 00:22:44,440 --> 00:22:49,320 Speaker 1: Is that something that's emerging in labor as a potential 358 00:22:49,400 --> 00:22:56,879 Speaker 1: policy platform around developing our own sovereign technology to run 359 00:22:57,160 --> 00:22:58,680 Speaker 1: critical services like government. 360 00:23:00,359 --> 00:23:03,320 Speaker 3: I think it will be irresponsible for any government or 361 00:23:03,880 --> 00:23:06,240 Speaker 3: party that wants to be the next government in twenty 362 00:23:06,280 --> 00:23:09,680 Speaker 3: twenty six to not have a very clear plan around 363 00:23:10,920 --> 00:23:16,320 Speaker 3: who and how AI should be enabled and managed with 364 00:23:15,920 --> 00:23:20,800 Speaker 3: them within New Zealand beyond well now and into twenty 365 00:23:20,840 --> 00:23:25,960 Speaker 3: twenty six. So I think, yeah, the sort of sit 366 00:23:26,040 --> 00:23:29,240 Speaker 3: back and wait and see approach won't work. 367 00:23:30,160 --> 00:23:31,760 Speaker 2: The potential for AI to. 368 00:23:33,440 --> 00:23:37,879 Speaker 3: Have an incredibly positive impact for New Zealand and New 369 00:23:37,960 --> 00:23:41,280 Speaker 3: Zealanders is very real, but it also has the potential 370 00:23:41,320 --> 00:23:45,439 Speaker 3: if we don't do it well, to actually create you know, 371 00:23:46,160 --> 00:23:49,280 Speaker 3: very very deep division between those who have access to 372 00:23:49,440 --> 00:23:55,479 Speaker 3: AI and those who don't. So we do need to 373 00:23:56,200 --> 00:23:59,240 Speaker 3: be very proactive in that space. I don't think the 374 00:23:59,320 --> 00:24:03,960 Speaker 3: current approach or the current the government's current approach has 375 00:24:04,000 --> 00:24:07,680 Speaker 3: been proactive enough. And I think there's a real risk if, if, 376 00:24:09,240 --> 00:24:14,200 Speaker 3: if we don't really engage with that, that we simply 377 00:24:14,280 --> 00:24:19,439 Speaker 3: become a market for for you know, super big foreign 378 00:24:19,520 --> 00:24:22,679 Speaker 3: AI companies, and I think that would be that's that's 379 00:24:22,960 --> 00:24:26,480 Speaker 3: not a direction that New Zealand would want to heed. 380 00:24:26,960 --> 00:24:31,119 Speaker 1: Yeah, and arguably we're already there, so unpacking that or 381 00:24:31,160 --> 00:24:34,400 Speaker 1: unpicking it is going to be challenging. But in terms 382 00:24:34,440 --> 00:24:40,040 Speaker 1: of the the policy settings, we don't have dedicated AI 383 00:24:40,160 --> 00:24:43,600 Speaker 1: regulation in New Zealand yet. You know, Judith Colin said 384 00:24:43,640 --> 00:24:48,280 Speaker 1: she wanted a proportional, risk based and light touch approach 385 00:24:48,320 --> 00:24:50,960 Speaker 1: to regulating AI. So we've got the Privacy Act, we've 386 00:24:51,000 --> 00:24:54,040 Speaker 1: got other bits of legislation. Do you think that's been 387 00:24:54,680 --> 00:24:58,359 Speaker 1: a pragmatic approach. We've seen obviously the EU with the 388 00:24:58,400 --> 00:25:03,440 Speaker 1: AI Act going really big on legislation, Australia doing its 389 00:25:03,520 --> 00:25:06,679 Speaker 1: own version of that. We've sort of sat on the sidelines, 390 00:25:06,720 --> 00:25:09,040 Speaker 1: I guess to see what happens. Has that turned out 391 00:25:09,080 --> 00:25:10,240 Speaker 1: to be a smart move? Do you think? 392 00:25:11,080 --> 00:25:13,879 Speaker 2: I think I think it has a level of risk and. 393 00:25:15,960 --> 00:25:18,840 Speaker 3: How smart it has been remains to be seen, But 394 00:25:18,920 --> 00:25:20,200 Speaker 3: I think I mean there. 395 00:25:20,080 --> 00:25:20,560 Speaker 2: Are some. 396 00:25:22,640 --> 00:25:26,480 Speaker 3: Yeah, there's there's some potential positives that can come out 397 00:25:26,520 --> 00:25:28,840 Speaker 3: of the weight and see approach. But it's about getting 398 00:25:28,840 --> 00:25:33,320 Speaker 3: that balance right between being a fast follower in whether 399 00:25:33,359 --> 00:25:36,760 Speaker 3: you're a fast enough follower, but also doing what New 400 00:25:36,880 --> 00:25:39,280 Speaker 3: Zealand's done really well on a number of occasions in 401 00:25:39,320 --> 00:25:41,399 Speaker 3: the past where we actually take the lead on something. 402 00:25:41,960 --> 00:25:44,960 Speaker 3: And I think that the risk with sitting the sort 403 00:25:44,960 --> 00:25:48,440 Speaker 3: of weight and see pragmatic approach is that you can 404 00:25:48,520 --> 00:25:51,080 Speaker 3: get left behind. It can be too it can become 405 00:25:51,119 --> 00:25:51,560 Speaker 3: too late. 406 00:25:52,560 --> 00:25:56,600 Speaker 1: Yeah, and you know all the surveys, you'll have seen 407 00:25:56,600 --> 00:25:59,000 Speaker 1: them as much as I have from the AI forum, 408 00:25:59,040 --> 00:26:01,360 Speaker 1: and that sort of suggests that we're a little bit 409 00:26:01,400 --> 00:26:04,359 Speaker 1: behind the ball and our adoption of AI. So getting 410 00:26:04,400 --> 00:26:10,160 Speaker 1: that balance right is really important. The skills issue and 411 00:26:10,359 --> 00:26:13,800 Speaker 1: the disruption to the workforce that potentially is coming. You know, 412 00:26:13,840 --> 00:26:17,560 Speaker 1: I'm talking to software development companies that are seeing massive 413 00:26:17,560 --> 00:26:21,000 Speaker 1: efficiencies and how coding is done, which is great for 414 00:26:21,080 --> 00:26:24,120 Speaker 1: their customers, great for New Zealand businesses and their productivity, 415 00:26:24,160 --> 00:26:26,879 Speaker 1: but it means that as an entry level software developer, 416 00:26:27,600 --> 00:26:29,800 Speaker 1: you're not doing the sort of grunt work learning to 417 00:26:29,880 --> 00:26:33,400 Speaker 1: code type roles that would have occupied the first year 418 00:26:33,480 --> 00:26:35,040 Speaker 1: or two of your career. So what are we going 419 00:26:35,119 --> 00:26:38,680 Speaker 1: to do with those graduates? So I guess, and this 420 00:26:38,720 --> 00:26:42,480 Speaker 1: is something that National hasn't really addressed to any extent. 421 00:26:42,600 --> 00:26:46,359 Speaker 1: Labor at least had the Industry Transformation Plan, which did 422 00:26:46,400 --> 00:26:49,359 Speaker 1: a lot of work around digital skills. To what extent 423 00:26:49,400 --> 00:26:53,080 Speaker 1: does this need to be government sort of driven or 424 00:26:53,440 --> 00:26:56,240 Speaker 1: should this be industry and tertiary sector driven? 425 00:26:57,200 --> 00:26:59,119 Speaker 3: Yeah, Look, I think the government has a role to 426 00:26:59,119 --> 00:27:02,720 Speaker 3: play in this space. What we're seeing is, you know, 427 00:27:02,840 --> 00:27:08,640 Speaker 3: potential mass disruption to some parts of the workforce, and 428 00:27:08,680 --> 00:27:10,440 Speaker 3: so what we need to have there is a plan 429 00:27:10,600 --> 00:27:14,960 Speaker 3: for redeployment of those people into new areas, but also 430 00:27:15,000 --> 00:27:17,960 Speaker 3: for people to be able to transition across into new industry. 431 00:27:18,440 --> 00:27:20,280 Speaker 3: And so that's where we need to be looking at 432 00:27:20,320 --> 00:27:25,920 Speaker 3: things like micro credentials, at people being able to train 433 00:27:26,040 --> 00:27:29,760 Speaker 3: into new jobs that may come into an existent come 434 00:27:29,800 --> 00:27:34,600 Speaker 3: into existence with the uptake or introduction of AI into 435 00:27:35,840 --> 00:27:38,680 Speaker 3: stecters or areas that they've previously worked. 436 00:27:39,280 --> 00:27:40,520 Speaker 2: And I mean one of the things that. 437 00:27:42,280 --> 00:27:45,639 Speaker 3: And you know, you give the example of coding one 438 00:27:45,680 --> 00:27:48,760 Speaker 3: of the other areas that we see AIS is that 439 00:27:48,840 --> 00:27:51,600 Speaker 3: it's not necessarily coming in at the super entry level, 440 00:27:51,840 --> 00:27:53,760 Speaker 3: and it's certainly not coming in at the high end. 441 00:27:54,119 --> 00:27:57,000 Speaker 3: But if it's eroding that workforce or that part of 442 00:27:57,040 --> 00:28:00,600 Speaker 3: the workforce in any sector or industry that is carrying 443 00:28:00,600 --> 00:28:04,960 Speaker 3: out the kind of mid level roles, then how do 444 00:28:05,040 --> 00:28:07,920 Speaker 3: the new intake grow into the more senior roles. 445 00:28:07,920 --> 00:28:09,440 Speaker 2: All of a sudden, You've you've got. 446 00:28:09,359 --> 00:28:12,960 Speaker 3: A real hole in the middle of your workforce and 447 00:28:13,040 --> 00:28:16,119 Speaker 3: career development. So we do need to have a plan 448 00:28:16,200 --> 00:28:21,440 Speaker 3: in there for how we address that, and I think 449 00:28:21,480 --> 00:28:24,280 Speaker 3: that government can have a role to put some teams 450 00:28:24,320 --> 00:28:28,600 Speaker 3: and structures in place in conjunction with industry and in 451 00:28:28,640 --> 00:28:32,080 Speaker 3: condunction with the education sector. But it's not necessarily that 452 00:28:32,119 --> 00:28:34,360 Speaker 3: people will need to go and do a whole other degree, 453 00:28:34,680 --> 00:28:37,080 Speaker 3: but they might need a micro credential or some short 454 00:28:37,119 --> 00:28:42,320 Speaker 3: training or some apprenticeship style training to transition them across 455 00:28:42,760 --> 00:28:46,200 Speaker 3: with transferable skills into a new role, either in the 456 00:28:46,240 --> 00:28:50,080 Speaker 3: same industry or in a parallel industry. 457 00:28:51,480 --> 00:28:54,360 Speaker 1: One thing that Labor did get across the line in 458 00:28:54,400 --> 00:28:58,960 Speaker 1: its second term was the tax subsidy for the video 459 00:28:59,040 --> 00:29:03,320 Speaker 1: game sector, which the industry had lobbied hard for was 460 00:29:03,360 --> 00:29:08,760 Speaker 1: getting huge competition from state and federal subsidies in Australia, 461 00:29:08,880 --> 00:29:11,320 Speaker 1: which was seeing people leaving New Zealand to go and 462 00:29:11,360 --> 00:29:14,560 Speaker 1: work in the industry over there. You've been meeting with 463 00:29:14,600 --> 00:29:18,360 Speaker 1: the industry recently. What's your take on how well that 464 00:29:18,480 --> 00:29:20,600 Speaker 1: is going and is that something that Labor would sort 465 00:29:20,640 --> 00:29:23,200 Speaker 1: of commit to if it was in government again. 466 00:29:23,760 --> 00:29:26,280 Speaker 3: Yeah, Look, it's my sense is that it's working very 467 00:29:26,280 --> 00:29:31,280 Speaker 3: well and that it's really coming to fruition. Now we've 468 00:29:31,360 --> 00:29:35,160 Speaker 3: seen major uplift in the value that the gaming industry 469 00:29:35,240 --> 00:29:38,760 Speaker 3: has it contributes to New Zealand. So I think it 470 00:29:38,920 --> 00:29:42,480 Speaker 3: was four hundred and something million it's now looking to 471 00:29:42,480 --> 00:29:46,000 Speaker 3: be seven hundred and something million, so that's an almost 472 00:29:46,040 --> 00:29:49,840 Speaker 3: doubling and that growth curve, there's no reason that that 473 00:29:49,880 --> 00:29:51,440 Speaker 3: growth curve won't continue. 474 00:29:51,680 --> 00:29:54,360 Speaker 2: That was a set that we knew was really I. 475 00:29:54,360 --> 00:29:56,560 Speaker 3: Mean, I wasn't in government at the time, I wasn't 476 00:29:56,560 --> 00:29:59,880 Speaker 3: an MP, but I understand that there were you know, 477 00:30:00,080 --> 00:30:04,680 Speaker 3: gaming conventions in New Zealand where Australian recruit recruiters were 478 00:30:04,680 --> 00:30:09,280 Speaker 3: coming to those conventions and literally poaching people from New 479 00:30:09,320 --> 00:30:12,080 Speaker 3: Zealand to go and work in the Australian industry. And 480 00:30:12,120 --> 00:30:17,080 Speaker 3: they were also offering New Zealand companies huge incentives, relocation 481 00:30:17,320 --> 00:30:20,160 Speaker 3: costs that find them in the building that basically do 482 00:30:20,360 --> 00:30:24,880 Speaker 3: all the heavy lifting to lift and shift really successful 483 00:30:24,920 --> 00:30:29,440 Speaker 3: gaming studios from New Zealand into various parts of Australia 484 00:30:29,480 --> 00:30:32,960 Speaker 3: where they could you know, keep doing what they were doing, 485 00:30:33,040 --> 00:30:36,080 Speaker 3: but with really good tax incentives and a whole lot 486 00:30:36,080 --> 00:30:38,840 Speaker 3: of assistance to make that move. So I think that 487 00:30:38,920 --> 00:30:43,800 Speaker 3: an investment like that was very nimble, very good, very 488 00:30:43,800 --> 00:30:49,720 Speaker 3: good leadership from the then Labor government. It's borne good 489 00:30:49,720 --> 00:30:51,720 Speaker 3: fruit and we're going to see the results of that, 490 00:30:51,840 --> 00:30:54,040 Speaker 3: you know, when we get the reporting through for. 491 00:30:54,040 --> 00:30:57,240 Speaker 2: Where it's at now, whether or not it continues. 492 00:30:57,280 --> 00:30:58,960 Speaker 3: I mean, I think there's a real argument to be 493 00:30:59,040 --> 00:31:04,120 Speaker 3: made when it was a forty million dollar commitment and 494 00:31:04,400 --> 00:31:06,120 Speaker 3: within that first year, I think it was. 495 00:31:06,040 --> 00:31:08,920 Speaker 2: Something like two hundred million in tax reef that came in. 496 00:31:09,080 --> 00:31:12,040 Speaker 3: So you do look at that and go, well, one 497 00:31:12,040 --> 00:31:13,920 Speaker 3: of those things is more than paying for the other. 498 00:31:14,400 --> 00:31:16,840 Speaker 2: It's a good incentive. That's an example of. 499 00:31:19,200 --> 00:31:23,600 Speaker 3: Government getting involved to support an industry that can then 500 00:31:24,080 --> 00:31:28,040 Speaker 3: do very well locally and contribute economically. 501 00:31:28,320 --> 00:31:31,400 Speaker 1: Yeah, okay, So just to finish off a few sort 502 00:31:31,440 --> 00:31:34,200 Speaker 1: of things that have come up in recent years that 503 00:31:35,600 --> 00:31:38,000 Speaker 1: have been controversial, interesting to get your take on some 504 00:31:38,080 --> 00:31:40,800 Speaker 1: of them, to see where labor is sort of heading 505 00:31:40,840 --> 00:31:44,480 Speaker 1: towards twenty twenty six, and potentially you'll be in the 506 00:31:44,520 --> 00:31:50,640 Speaker 1: Science and Innovation portfolio. The disestablishment of Callahan Innovation good idea. 507 00:31:53,440 --> 00:31:54,960 Speaker 3: No, I don't think it's been a good idea, and 508 00:31:55,000 --> 00:31:56,840 Speaker 3: I don't think it's been a good process. 509 00:31:57,240 --> 00:32:02,080 Speaker 1: Okay, what about the changes to visas to try and 510 00:32:02,120 --> 00:32:05,840 Speaker 1: get a high net worth people into New Zealand, highly 511 00:32:05,840 --> 00:32:10,360 Speaker 1: skilled people. I think they're basically envisaging that former Google 512 00:32:10,360 --> 00:32:12,800 Speaker 1: engineers are going to come here. Maybe invest some money 513 00:32:13,000 --> 00:32:17,800 Speaker 1: in a startup and put their expertise into New Zealand companies. 514 00:32:17,840 --> 00:32:18,680 Speaker 1: What do you think about that? 515 00:32:19,080 --> 00:32:20,959 Speaker 2: This is the digital nomad approach. 516 00:32:21,400 --> 00:32:23,760 Speaker 1: There's a digital nomad and then there's the sort of 517 00:32:23,800 --> 00:32:27,160 Speaker 1: the goal visa informally they call it, which is, if 518 00:32:27,160 --> 00:32:29,880 Speaker 1: you invest a certain amount of money into a business here, 519 00:32:30,880 --> 00:32:34,040 Speaker 1: you get a pathway to residency. 520 00:32:34,880 --> 00:32:36,200 Speaker 2: Yeah. 521 00:32:36,440 --> 00:32:38,680 Speaker 3: I don't actually probably know enough about that one to 522 00:32:38,680 --> 00:32:40,520 Speaker 3: give you a very well informed answer. 523 00:32:40,840 --> 00:32:45,520 Speaker 1: Yeah. The Junking of Science said that was a big 524 00:32:45,560 --> 00:32:48,760 Speaker 1: initiative that Labor had on its plate that was focused 525 00:32:48,800 --> 00:32:52,120 Speaker 1: around Wellington, quite a big one. Hundreds of millions of 526 00:32:52,360 --> 00:32:56,160 Speaker 1: investment was one of the first things that National next 527 00:32:56,240 --> 00:32:58,000 Speaker 1: when it got in. How do you feel about that? 528 00:32:58,720 --> 00:33:01,320 Speaker 3: Well, I mean, I think it's it's been disappointing to 529 00:33:01,360 --> 00:33:04,440 Speaker 3: see the number of things that have been cut with 530 00:33:04,640 --> 00:33:08,040 Speaker 3: no alternative plan or vision in place. 531 00:33:09,440 --> 00:33:13,520 Speaker 1: Yeah, and we've got to be realistic about the funding situation. 532 00:33:13,640 --> 00:33:17,080 Speaker 1: So I guess when it comes down to it, I mean, 533 00:33:17,880 --> 00:33:19,800 Speaker 1: when is Labor going to run the numbers and see 534 00:33:19,800 --> 00:33:23,520 Speaker 1: what's available for science and innovation. That's the big question. 535 00:33:23,560 --> 00:33:26,280 Speaker 1: All of these scientists who are sitting on the fence 536 00:33:26,320 --> 00:33:29,200 Speaker 1: looking around the world going do I continue my career 537 00:33:29,440 --> 00:33:32,440 Speaker 1: in Germany or the UK or somewhere else. When are 538 00:33:32,440 --> 00:33:35,760 Speaker 1: we likely to get a sign from Labor about that 539 00:33:35,920 --> 00:33:39,640 Speaker 1: much needed boost in science and innovation funding, whether it's 540 00:33:39,640 --> 00:33:42,280 Speaker 1: actually going to happen under a Labor government. 541 00:33:42,920 --> 00:33:47,480 Speaker 3: Yeah, look, I mean that's definitely something that we're looking 542 00:33:47,520 --> 00:33:51,720 Speaker 3: at across twenty twenty five leading into an election year 543 00:33:52,520 --> 00:33:57,880 Speaker 3: having some clear positions and policies across the board, But 544 00:33:58,200 --> 00:34:00,400 Speaker 3: in the science space, I wouldn't expect that to be 545 00:34:00,440 --> 00:34:02,880 Speaker 3: any different. That there needs to be a clear plan 546 00:34:02,960 --> 00:34:05,720 Speaker 3: and indication from people of what is the difference that 547 00:34:05,800 --> 00:34:09,840 Speaker 3: you get from a label led government versus the crisis 548 00:34:09,880 --> 00:34:13,520 Speaker 3: that's been created in the sector by the current coalition. 549 00:34:14,200 --> 00:34:17,920 Speaker 1: Yeah, and yeah, I guess you know that's going to 550 00:34:17,920 --> 00:34:23,480 Speaker 1: be the question philosophically, what is Labor's fundamentally different approach? 551 00:34:23,520 --> 00:34:25,759 Speaker 1: What will you keep and you know, what will how 552 00:34:25,800 --> 00:34:30,279 Speaker 1: will you carve a different a different path. So that's 553 00:34:30,280 --> 00:34:33,480 Speaker 1: still to come. But as you go around the science 554 00:34:33,480 --> 00:34:37,200 Speaker 1: and innovation sector talk to startups and they're like, what 555 00:34:37,280 --> 00:34:39,240 Speaker 1: are you seeing at the moment where you think, wow, 556 00:34:39,360 --> 00:34:44,319 Speaker 1: that is genuine opportunity for new Zealand and if we 557 00:34:44,440 --> 00:34:48,920 Speaker 1: did direct some targeted resources into this, either in funding 558 00:34:49,080 --> 00:34:53,359 Speaker 1: or in policy measures or some sort of trade support internationally, 559 00:34:53,800 --> 00:34:56,359 Speaker 1: our startups and our scientists could really thrive. Are there 560 00:34:56,360 --> 00:34:59,360 Speaker 1: any areas where you think that is something we should 561 00:34:59,400 --> 00:34:59,960 Speaker 1: focus on. 562 00:35:00,760 --> 00:35:03,000 Speaker 3: Yeah, Look, I mean I think that's probably a really good, 563 00:35:04,040 --> 00:35:08,680 Speaker 3: good opportunity just to revisit the success of the rebate 564 00:35:08,760 --> 00:35:13,120 Speaker 3: for the gaming sector, because that's exactly what's what's happened 565 00:35:13,239 --> 00:35:17,879 Speaker 3: there where where it was an industry that could see that, 566 00:35:18,080 --> 00:35:21,560 Speaker 3: you know, they literally had written their obituary because they 567 00:35:21,600 --> 00:35:25,000 Speaker 3: could see that that what was happening in Australia. The 568 00:35:25,680 --> 00:35:30,560 Speaker 3: lure of Australia and the energy and resource behind that 569 00:35:31,080 --> 00:35:35,120 Speaker 3: kind of raid on talent and New Zealand companies were 570 00:35:35,200 --> 00:35:37,759 Speaker 3: so real from Australia that they could see that that 571 00:35:37,760 --> 00:35:38,640 Speaker 3: that could spell the. 572 00:35:38,680 --> 00:35:40,160 Speaker 2: End for a New Zealand industry. 573 00:35:40,760 --> 00:35:47,200 Speaker 3: And with a you know, relatively small investment, the yield 574 00:35:47,280 --> 00:35:54,239 Speaker 3: has been rapid and strong, and I think that you 575 00:35:54,320 --> 00:35:57,799 Speaker 3: can see that that that that growth could continue. There's 576 00:35:57,800 --> 00:36:03,080 Speaker 3: no reason that further investment wouldn't continue to have the 577 00:36:03,880 --> 00:36:07,160 Speaker 3: same or greater yield from from the gaming sector. 578 00:36:07,600 --> 00:36:08,920 Speaker 2: So I think it's. 579 00:36:11,320 --> 00:36:16,399 Speaker 3: Identifying opportunities like that and moving fast enough to support them. 580 00:36:16,719 --> 00:36:22,320 Speaker 3: And that's about having a really good understanding of those sectors, 581 00:36:22,360 --> 00:36:26,880 Speaker 3: but also a good respectful relationship with those sectors. And 582 00:36:26,920 --> 00:36:31,200 Speaker 3: I think that's what we've seen eroded so quickly with 583 00:36:31,280 --> 00:36:36,480 Speaker 3: our science community has been that that conversation hasn't been. 584 00:36:38,480 --> 00:36:41,720 Speaker 2: Appropriate and that community haven't been. 585 00:36:45,280 --> 00:36:47,799 Speaker 3: Allowed the opportunity to see what the vision or the 586 00:36:47,840 --> 00:36:50,520 Speaker 3: plan is, if in fact there is one. And I 587 00:36:50,520 --> 00:36:53,719 Speaker 3: think that's what was so good about the rebate for 588 00:36:53,760 --> 00:36:58,800 Speaker 3: the gaming sector was it was a really good working 589 00:36:58,840 --> 00:37:04,960 Speaker 3: relationship between government and industry that led to some support 590 00:37:05,000 --> 00:37:08,840 Speaker 3: for industry that ultimately has had such a positive result. 591 00:37:09,960 --> 00:37:13,480 Speaker 1: Just finally, with your other hat on your Broadcasting, Media 592 00:37:13,520 --> 00:37:19,280 Speaker 1: and Creative Economy hat, we talked at the start about 593 00:37:19,400 --> 00:37:23,440 Speaker 1: the pilot state of the media goes for production companies 594 00:37:23,440 --> 00:37:27,439 Speaker 1: through to mainstream media outlets. Last year was a disastrous year, 595 00:37:27,920 --> 00:37:30,080 Speaker 1: the loss of news Hub. We've seen ends in me 596 00:37:31,239 --> 00:37:35,480 Speaker 1: have its own cutbacks this year. Interest in your take 597 00:37:35,600 --> 00:37:40,040 Speaker 1: on the Digital News Bargaining Bill. What did you think 598 00:37:40,040 --> 00:37:43,799 Speaker 1: of it? I was, obviously Willie Jackson who shepherded that 599 00:37:44,040 --> 00:37:47,520 Speaker 1: through towards the end of the second term that Labor 600 00:37:47,600 --> 00:37:51,600 Speaker 1: was in for it seems to have gone very quiet. 601 00:37:51,920 --> 00:37:54,600 Speaker 1: Do you think it's dead? Do you think literally the 602 00:37:54,640 --> 00:37:57,400 Speaker 1: negotiating with big tech is no longer viable. 603 00:37:58,280 --> 00:38:00,680 Speaker 3: Yeah, Look, I mean my sense is that dead. And 604 00:38:00,719 --> 00:38:04,320 Speaker 3: I think that's a huge shame. I think that if 605 00:38:04,800 --> 00:38:08,040 Speaker 3: the previous minister had moved faster, and if the current 606 00:38:08,080 --> 00:38:10,839 Speaker 3: minister had moved at all, it could have gotten over 607 00:38:10,880 --> 00:38:11,239 Speaker 3: the line. 608 00:38:11,680 --> 00:38:15,239 Speaker 2: I think there's very little chance of that happening now. 609 00:38:16,080 --> 00:38:17,280 Speaker 2: And I do sense. 610 00:38:17,680 --> 00:38:22,200 Speaker 3: I mean my sense from my personal opinion, but also 611 00:38:22,200 --> 00:38:25,360 Speaker 3: from the conversations I've had with you across the industry, 612 00:38:25,800 --> 00:38:29,319 Speaker 3: is that it did and would have made and the 613 00:38:29,360 --> 00:38:32,400 Speaker 3: fact that it was a potential was having a positive impact, 614 00:38:32,640 --> 00:38:36,560 Speaker 3: and if it had been moved through at the speed 615 00:38:36,560 --> 00:38:39,440 Speaker 3: it deserved, it would have had a real positive impact 616 00:38:39,680 --> 00:38:43,240 Speaker 3: across particularly across the local news media and their ability 617 00:38:43,280 --> 00:38:47,719 Speaker 3: to actually get some financial return for sharing of their 618 00:38:47,719 --> 00:38:52,239 Speaker 3: content across platforms. I think the most frustrating thing, other 619 00:38:52,280 --> 00:38:54,920 Speaker 3: than the fact that it's just been kind of mothballed 620 00:38:55,000 --> 00:38:58,520 Speaker 3: with very little communication or clarity from the minister, is 621 00:38:58,560 --> 00:38:59,520 Speaker 3: that there appears to be. 622 00:38:59,520 --> 00:39:03,840 Speaker 2: Absolutely nothing in its place. So I mean, I think. 623 00:39:03,640 --> 00:39:06,200 Speaker 3: Where what are we two hundred and eighty something days 624 00:39:06,200 --> 00:39:09,600 Speaker 3: now that that gods must been the Minister for Broadcasting 625 00:39:09,600 --> 00:39:15,160 Speaker 3: and Media. We've seen five ideas put out for people 626 00:39:15,320 --> 00:39:18,320 Speaker 3: industry to consider, with a strong caveat that none of 627 00:39:18,360 --> 00:39:22,480 Speaker 3: them have got cabinet approval or funding attached. And I 628 00:39:22,520 --> 00:39:26,240 Speaker 3: mean there's some okay ideas in there. There's probably nothing 629 00:39:26,239 --> 00:39:30,080 Speaker 3: wrong really with any of the ideas in that document, 630 00:39:30,320 --> 00:39:32,640 Speaker 3: but none of them are going to go anywhere near 631 00:39:32,719 --> 00:39:36,080 Speaker 3: addressing the current crisis in local media. And none of them, 632 00:39:36,160 --> 00:39:39,279 Speaker 3: or maybe one of the five, actually does anything to 633 00:39:39,320 --> 00:39:41,360 Speaker 3: address the challenges in local news media. 634 00:39:41,480 --> 00:39:44,520 Speaker 2: So it's pretty disappointing to see that there's. 635 00:39:45,680 --> 00:39:48,719 Speaker 3: You know, there were good ideas sitting there ready to 636 00:39:48,760 --> 00:39:53,319 Speaker 3: be enacted, and for whatever reason, and I won't try 637 00:39:53,360 --> 00:39:55,560 Speaker 3: and guess why, but for whatever reason, none of them 638 00:39:55,600 --> 00:39:58,720 Speaker 3: have been And the Fair Digital News Bargaining Bill would 639 00:39:58,760 --> 00:40:02,240 Speaker 3: have been a a really positive step to support local 640 00:40:02,320 --> 00:40:05,600 Speaker 3: news media at an unpreceding time of crisis. 641 00:40:06,000 --> 00:40:10,440 Speaker 1: Yeah, unfortunately, it's it sort of has failed gradually everywhere, 642 00:40:10,440 --> 00:40:13,040 Speaker 1: whether it's Australia or Canada. You know, there's been deals 643 00:40:13,080 --> 00:40:15,719 Speaker 1: done with big tech over there, but meta has sort 644 00:40:15,760 --> 00:40:20,040 Speaker 1: of turned its back on on those sorts of arrangements. Interestingly, 645 00:40:20,040 --> 00:40:22,120 Speaker 1: one of the last things that Labor did, I think, 646 00:40:22,160 --> 00:40:25,759 Speaker 1: on its last day in Parliament in its last term, 647 00:40:25,960 --> 00:40:30,800 Speaker 1: was table some legislation around, you know, a digital tax, 648 00:40:31,320 --> 00:40:34,239 Speaker 1: which many see around the world as the alternative to 649 00:40:34,680 --> 00:40:37,520 Speaker 1: a sort of a news bargaining bill with media companies. 650 00:40:37,800 --> 00:40:40,279 Speaker 1: Instead of wrangling all of that, why don't you just 651 00:40:40,320 --> 00:40:43,320 Speaker 1: slap a two percent tax, for instance, on the revenue 652 00:40:43,360 --> 00:40:46,920 Speaker 1: of big tech companies in New Zealand. Is that something 653 00:40:46,960 --> 00:40:52,480 Speaker 1: that's still in your thinking or is the tariff chaos 654 00:40:52,520 --> 00:40:54,919 Speaker 1: that the US is wielding at the moment a real 655 00:40:55,000 --> 00:40:57,640 Speaker 1: disincentive to try and do anything like that that might 656 00:40:57,680 --> 00:41:00,640 Speaker 1: attract the ire of the US administration. 657 00:41:01,520 --> 00:41:04,480 Speaker 3: Yeah, look, I think I think the current trade situation 658 00:41:04,560 --> 00:41:08,520 Speaker 3: with the United States has complicated things a little. Probably 659 00:41:08,560 --> 00:41:13,000 Speaker 3: be a slight understatement, but the I mean, one of 660 00:41:13,000 --> 00:41:15,840 Speaker 3: the things that the members bill that I've got in 661 00:41:15,880 --> 00:41:18,840 Speaker 3: the biscuit to unfortunately hasn't yet been pulled out, is 662 00:41:19,000 --> 00:41:19,920 Speaker 3: a streamers levy. 663 00:41:20,280 --> 00:41:21,400 Speaker 2: So that's the same kind. 664 00:41:21,280 --> 00:41:24,160 Speaker 3: Of idea right where there's a where there's the large 665 00:41:25,120 --> 00:41:30,680 Speaker 3: media platforms that enjoy our custom and happily take you know, 666 00:41:30,760 --> 00:41:32,840 Speaker 3: the fees that we pay for the privilege of watching 667 00:41:32,880 --> 00:41:36,120 Speaker 3: their great content don't actually contribute to the local production 668 00:41:36,239 --> 00:41:41,120 Speaker 3: sector enough or in most cases at all. So putting 669 00:41:41,120 --> 00:41:43,880 Speaker 3: a mechanism in place that ensures that we can continue 670 00:41:43,880 --> 00:41:47,760 Speaker 3: to hear you know, and see local stories, hear local voices. 671 00:41:49,000 --> 00:41:52,400 Speaker 3: You know my background in children's television. When I started 672 00:41:52,880 --> 00:41:56,120 Speaker 3: in that genre, there was just about every kind of 673 00:41:56,200 --> 00:41:59,040 Speaker 3: show being made for New Zealand children. Here in New 674 00:41:59,120 --> 00:42:02,719 Speaker 3: Zealand you can count the number of local shows on 675 00:42:02,719 --> 00:42:06,440 Speaker 3: one hand. So I think we really have We do 676 00:42:06,640 --> 00:42:11,800 Speaker 3: risk losing the ability to see ourselves on screen unless 677 00:42:11,840 --> 00:42:15,920 Speaker 3: we shift the dynamics of the market to ensure that 678 00:42:16,000 --> 00:42:20,760 Speaker 3: those big tech platforms that most big media players actually 679 00:42:20,840 --> 00:42:33,279 Speaker 3: contribute to our local stories and our local identity. 680 00:42:34,239 --> 00:42:34,759 Speaker 2: Do you have it? 681 00:42:34,920 --> 00:42:37,680 Speaker 1: So what did we learn from Ruben Davidson. He's clearly 682 00:42:37,719 --> 00:42:40,920 Speaker 1: not happy with the science reforms, but no real indication 683 00:42:41,000 --> 00:42:44,319 Speaker 1: of what labor would do to address or reverse the 684 00:42:44,400 --> 00:42:47,520 Speaker 1: situation that the Coalition government has created with the cuts 685 00:42:48,239 --> 00:42:52,239 Speaker 1: and the demise of Callahan Innovation and other things. He 686 00:42:52,360 --> 00:42:55,919 Speaker 1: doesn't think the government is doing enough on artificial intelligence 687 00:42:56,040 --> 00:42:59,640 Speaker 1: that we should be a fast follower applying regulation and 688 00:43:00,040 --> 00:43:05,440 Speaker 1: initiatives to spur uptake that have been successful overseas. Not surprising. 689 00:43:05,640 --> 00:43:09,839 Speaker 1: They're a big focus on the impact of AI on 690 00:43:10,120 --> 00:43:15,040 Speaker 1: jobs and that's something with the labor movement so central 691 00:43:15,120 --> 00:43:18,680 Speaker 1: to the Labor Party that you would expect from them, 692 00:43:18,840 --> 00:43:21,520 Speaker 1: But no real articulation of what we're going to do 693 00:43:22,640 --> 00:43:24,399 Speaker 1: or need to do as a country to help those 694 00:43:24,440 --> 00:43:27,600 Speaker 1: people displaced by AI, which is definitely coming for us. 695 00:43:27,760 --> 00:43:30,680 Speaker 1: On the media front, Davidson seems to think that if 696 00:43:30,680 --> 00:43:35,000 Speaker 1: his predecessors had moved faster, and let's face it, Labor 697 00:43:35,000 --> 00:43:38,520 Speaker 1: could have done this under Willie Jackson, Broadcasting Minister in 698 00:43:38,840 --> 00:43:41,480 Speaker 1: the last term of the Labor government. If they'd move 699 00:43:41,560 --> 00:43:44,719 Speaker 1: faster on a digital news bargaining bill, could it have 700 00:43:44,800 --> 00:43:47,880 Speaker 1: been in place and been effective? Davidson thinks. So the 701 00:43:47,960 --> 00:43:50,959 Speaker 1: question is how long would it have lasted anyway, before 702 00:43:51,000 --> 00:43:53,319 Speaker 1: the likes of Google and Meta just walked away from it, 703 00:43:53,360 --> 00:43:56,200 Speaker 1: as they've done in other countries. There was a lot 704 00:43:56,239 --> 00:43:58,640 Speaker 1: of talk of the success of the tax rebate for 705 00:43:58,680 --> 00:44:01,560 Speaker 1: the video game sector, which certainly has helped keep the 706 00:44:01,600 --> 00:44:06,640 Speaker 1: industry intact and has contributed to growing revenues from the sector. 707 00:44:06,760 --> 00:44:10,280 Speaker 1: So a good example of a targeted intervention that works. 708 00:44:11,080 --> 00:44:13,880 Speaker 1: We're still a fair way from a general election. I 709 00:44:13,920 --> 00:44:17,480 Speaker 1: wouldn't expect from policy pledges in these portfolio areas to 710 00:44:17,520 --> 00:44:20,600 Speaker 1: be made until at least later this year or early 711 00:44:20,640 --> 00:44:27,600 Speaker 1: into twenty twenty six. But if, as Ruben Davidson says, science, innovation, AI, media, 712 00:44:27,640 --> 00:44:30,920 Speaker 1: the creative sector are really important to the future off 713 00:44:30,960 --> 00:44:34,360 Speaker 1: our economy and society and deserve more of a focus 714 00:44:34,880 --> 00:44:38,640 Speaker 1: the areas that warrant some policy heft this time around 715 00:44:39,040 --> 00:44:42,120 Speaker 1: and a compelling long term vision for them. I'm not 716 00:44:42,160 --> 00:44:45,320 Speaker 1: seeing that yet from labor. I do live in hope. 717 00:44:45,640 --> 00:44:49,000 Speaker 1: So thanks to Ruben Davidson for coming on show. Notes 718 00:44:49,360 --> 00:44:51,640 Speaker 1: are in the podcast section at Business Desk dot co 719 00:44:51,840 --> 00:44:55,120 Speaker 1: dot nz, where you can stream the podcast. It's also 720 00:44:55,400 --> 00:44:59,360 Speaker 1: on iHeartRadio and in your favorite podcast app. Please subscribe 721 00:44:59,440 --> 00:45:03,000 Speaker 1: so you don't us an episode. Thanks for listening. Thanks 722 00:45:03,040 --> 00:45:05,359 Speaker 1: to two degrees for sponsoring the show. We'll catch you 723 00:45:05,360 --> 00:45:08,560 Speaker 1: next Thursday for another episode of the Business of Tech. 724 00:45:08,960 --> 00:45:09,520 Speaker 1: Catch you then,