1 00:00:05,880 --> 00:00:08,680 Speaker 1: Welcome to the Fear and Greed Business Interview. I'm Sean Aylmer. 2 00:00:08,720 --> 00:00:12,039 Speaker 1: Productivity is one of the biggest challenges facing the Australian 3 00:00:12,080 --> 00:00:15,160 Speaker 1: economy and in turn one of the biggest challenges for 4 00:00:15,240 --> 00:00:19,159 Speaker 1: Australian businesses is tech. The answer, more specifically, is it 5 00:00:19,200 --> 00:00:22,960 Speaker 1: all about artificial intelligence? If so, the challenge then shifts 6 00:00:23,079 --> 00:00:25,480 Speaker 1: to a leadership one. How do you bring about massive 7 00:00:25,560 --> 00:00:29,880 Speaker 1: changes in the workforce, improving efficiency in productivity without disaffecting 8 00:00:30,000 --> 00:00:34,240 Speaker 1: the workforce. Brad Pulford is the managing director of HP Australia. 9 00:00:34,400 --> 00:00:36,519 Speaker 1: HP started out as Hugh at Packard. We probably all 10 00:00:36,560 --> 00:00:38,519 Speaker 1: know them as that continues to be one of the 11 00:00:38,560 --> 00:00:42,000 Speaker 1: most influential technology companies in the world. Brad, Welcome to 12 00:00:42,040 --> 00:00:42,600 Speaker 1: Fear and Greed. 13 00:00:42,840 --> 00:00:44,800 Speaker 2: Thanks Sean. Great to be on the podcast with you. 14 00:00:45,159 --> 00:00:47,240 Speaker 1: So, between HP and Dell, you've had a long career 15 00:00:47,280 --> 00:00:52,320 Speaker 1: in technology. Considering what you've seen with AI in the 16 00:00:52,360 --> 00:00:57,720 Speaker 1: past couple of years versus your career, what's the rate 17 00:00:57,760 --> 00:00:59,400 Speaker 1: of change like now? 18 00:01:00,200 --> 00:01:03,000 Speaker 2: Ah, Look, it's just incredible in terms of what is happening. 19 00:01:03,040 --> 00:01:05,600 Speaker 2: We certainly had an intersection point at the moment where 20 00:01:05,640 --> 00:01:09,360 Speaker 2: just everything is being amplified so much acceleration in terms 21 00:01:09,400 --> 00:01:12,120 Speaker 2: of driving great opportunities from a business growth point of view, 22 00:01:12,160 --> 00:01:14,319 Speaker 2: and a lot of that's really been driven through the 23 00:01:14,360 --> 00:01:17,640 Speaker 2: amplification of what AI means from a productivity point of view, 24 00:01:18,240 --> 00:01:20,720 Speaker 2: and so just massive opportunity in the industry at the moment. 25 00:01:20,959 --> 00:01:23,800 Speaker 1: Okay, So just tell me what you mean in terms 26 00:01:23,800 --> 00:01:25,080 Speaker 1: of what AI can do. 27 00:01:25,840 --> 00:01:30,080 Speaker 2: Yeah. Look, it's about driving process efficiencies through things like automation, 28 00:01:30,760 --> 00:01:33,080 Speaker 2: making sure that you can eliminate a lot of those 29 00:01:33,160 --> 00:01:35,600 Speaker 2: mundane tasks that a lot of humans used to have 30 00:01:35,680 --> 00:01:39,160 Speaker 2: to consider on a daily basis, being able to automate 31 00:01:39,200 --> 00:01:43,360 Speaker 2: efficiencies within the organizations to drive better productivity outcomes in 32 00:01:43,600 --> 00:01:46,960 Speaker 2: a much faster, more organized, more efficient kind of pace 33 00:01:47,440 --> 00:01:50,880 Speaker 2: as well. These are areas that I think historically we 34 00:01:51,080 --> 00:01:53,880 Speaker 2: just didn't have any consideration around, you know, and so 35 00:01:54,560 --> 00:01:58,000 Speaker 2: really just capitalizing on some of that human potential I guess, 36 00:01:58,480 --> 00:02:01,680 Speaker 2: and creating opportunities for more meaningful work, you know, for 37 00:02:01,760 --> 00:02:04,720 Speaker 2: people to really focus and anchor around is creating enormous 38 00:02:04,760 --> 00:02:06,160 Speaker 2: opportunity within the workplace. 39 00:02:06,240 --> 00:02:09,040 Speaker 1: How does that change over work? So I get in 40 00:02:09,080 --> 00:02:13,600 Speaker 1: the medium to long term, we get reskilled, higher skilled people, 41 00:02:13,639 --> 00:02:18,200 Speaker 1: hopefully happier in their work some of the other jobs 42 00:02:18,200 --> 00:02:21,440 Speaker 1: are done by II. But that transition is very challenging. 43 00:02:22,200 --> 00:02:24,520 Speaker 2: It is incredibly challenging. But you know, what we are 44 00:02:24,560 --> 00:02:27,280 Speaker 2: seeing as well, through what we call the Work Relationship Index, 45 00:02:27,320 --> 00:02:30,640 Speaker 2: which is a survey that was done pretty recently, is 46 00:02:30,880 --> 00:02:33,280 Speaker 2: that we're seeing that only twenty eight percent of knowledge 47 00:02:33,320 --> 00:02:35,600 Speaker 2: workers in the workplace are really you know, happy in 48 00:02:35,680 --> 00:02:39,119 Speaker 2: terms of the workplaces that they're happy with the organizations 49 00:02:39,120 --> 00:02:41,680 Speaker 2: that they represent. And there are a couple of reasons 50 00:02:41,720 --> 00:02:43,440 Speaker 2: for that. When you start unlocking a lot of that 51 00:02:43,480 --> 00:02:46,320 Speaker 2: potential because the conversation always shifts to AI, but there 52 00:02:46,360 --> 00:02:50,040 Speaker 2: are different factors that influence the outcomes. Three things that 53 00:02:50,160 --> 00:02:53,000 Speaker 2: rarely stand out very specifically. The first one is around 54 00:02:53,040 --> 00:02:55,840 Speaker 2: fulfillment within the workplace. The second thing is how do 55 00:02:55,919 --> 00:02:57,800 Speaker 2: I grow as an individual in the workplace? And the 56 00:02:57,840 --> 00:03:00,160 Speaker 2: third thing is what is leadership doing to motivate me 57 00:03:00,200 --> 00:03:03,720 Speaker 2: in that workplace and create opportunities? And so we are seeing, 58 00:03:03,919 --> 00:03:06,519 Speaker 2: you know, a lot of that happiness, and I guess 59 00:03:06,600 --> 00:03:11,040 Speaker 2: the motivation of knowledge workers in their workplace being stimulated 60 00:03:11,080 --> 00:03:13,520 Speaker 2: not only by technology, but a number of other factors 61 00:03:13,560 --> 00:03:18,200 Speaker 2: as well, such as well. I called out the three 62 00:03:18,280 --> 00:03:20,960 Speaker 2: things if we start thinking about what that really means, 63 00:03:21,040 --> 00:03:24,640 Speaker 2: professional fulfillment is one of those areas that becomes incredibly meaningful, 64 00:03:24,680 --> 00:03:27,240 Speaker 2: I think for many people. And if you unlock that, 65 00:03:27,520 --> 00:03:29,480 Speaker 2: there are a couple of things that become very important 66 00:03:29,480 --> 00:03:32,440 Speaker 2: that influence the outcomes in the workplace. One is around 67 00:03:32,440 --> 00:03:35,080 Speaker 2: having a purpose, The second one is around working within 68 00:03:35,120 --> 00:03:37,520 Speaker 2: a community. The third one is how do I grow 69 00:03:37,520 --> 00:03:40,840 Speaker 2: as an individual in my workplace? What competencies can I 70 00:03:40,880 --> 00:03:43,640 Speaker 2: continue to build in the workplace becomes critical as well. 71 00:03:44,040 --> 00:03:46,600 Speaker 2: And the last one is around autonomy. And autonomy is 72 00:03:46,680 --> 00:03:49,520 Speaker 2: rarely about not just hybrid working and just remote working. 73 00:03:50,080 --> 00:03:52,960 Speaker 2: It's how am I able to leverage the right tools 74 00:03:53,600 --> 00:03:56,560 Speaker 2: and really be productive in the workplace. You know, these 75 00:03:56,600 --> 00:04:00,360 Speaker 2: are things that become incredibly important. So professional fulfillment is 76 00:04:00,440 --> 00:04:03,680 Speaker 2: largely what we're seeing as driving you know that twenty 77 00:04:03,720 --> 00:04:06,360 Speaker 2: eight percent, that very low score in terms of how 78 00:04:06,400 --> 00:04:08,040 Speaker 2: people are feeling in the workplace at the moment. 79 00:04:08,160 --> 00:04:09,880 Speaker 1: It sounds that leadership is going to have a much 80 00:04:09,880 --> 00:04:11,040 Speaker 1: bigger role going forward. 81 00:04:11,240 --> 00:04:15,119 Speaker 2: Absolutely, yeah, absolutely, and I think really modern leadership needs 82 00:04:15,200 --> 00:04:17,600 Speaker 2: to evolve, it needs to change. Coming you know, out 83 00:04:17,600 --> 00:04:20,560 Speaker 2: of COVID as an example, and then certainly working with 84 00:04:20,600 --> 00:04:23,680 Speaker 2: the nuances of what it means from a technology, you know, 85 00:04:23,839 --> 00:04:27,520 Speaker 2: kind of what technology can now bring and promote within 86 00:04:27,560 --> 00:04:30,560 Speaker 2: the workplace as well, but then also being very mindful 87 00:04:30,640 --> 00:04:32,800 Speaker 2: that talent is looking for something very different in the 88 00:04:32,800 --> 00:04:37,280 Speaker 2: workplace and so there are you know, multiple elements that 89 00:04:37,320 --> 00:04:39,640 Speaker 2: one needs to consider for the future. And I think 90 00:04:40,760 --> 00:04:43,480 Speaker 2: that pace of change probably isn't where it needs to 91 00:04:43,520 --> 00:04:46,320 Speaker 2: be just yet. I think that requires a new muscle 92 00:04:46,360 --> 00:04:48,680 Speaker 2: within the you know, within various organizations that we need 93 00:04:48,720 --> 00:04:49,520 Speaker 2: to continue to build. 94 00:04:49,680 --> 00:04:51,359 Speaker 1: Stay with me, Brad, we'll be back in a minute. 95 00:04:57,720 --> 00:05:01,120 Speaker 1: My guess this morning is Brad Pulford from HP Australia. 96 00:05:01,960 --> 00:05:04,080 Speaker 1: Before we went to the break, you talked about the 97 00:05:04,200 --> 00:05:08,080 Speaker 1: need within organizations to perhaps give it a bit more 98 00:05:08,120 --> 00:05:12,200 Speaker 1: grunt in terms of pushing AI. I'm interested. I'm interested 99 00:05:12,200 --> 00:05:14,400 Speaker 1: in that, but I'm also interested in how Australia rates. 100 00:05:15,040 --> 00:05:16,479 Speaker 1: These are the other countries too. 101 00:05:16,680 --> 00:05:20,000 Speaker 2: Yeah, Look, Australia being a very mature market I think 102 00:05:20,040 --> 00:05:22,120 Speaker 2: has always been an early adopter and has always been 103 00:05:22,160 --> 00:05:25,640 Speaker 2: seen as a pilot kind of test bed for many opportunities, 104 00:05:26,080 --> 00:05:29,520 Speaker 2: and that continues. So we certainly seen good adoption from 105 00:05:29,520 --> 00:05:33,040 Speaker 2: an Australian point of view, with roughly fifty percent of 106 00:05:33,440 --> 00:05:37,240 Speaker 2: commercial customers really adopting AI into the workplace. There are 107 00:05:37,320 --> 00:05:39,719 Speaker 2: other communities. If we just look at Asia for example, 108 00:05:39,839 --> 00:05:42,520 Speaker 2: Japan is probably leading the way from a commercial adoption 109 00:05:42,600 --> 00:05:45,560 Speaker 2: point of view. That being said, you know, we certainly 110 00:05:45,560 --> 00:05:48,120 Speaker 2: seen a lot of the AI kind of progress happening 111 00:05:48,120 --> 00:05:52,200 Speaker 2: in the Australian economy very kind of specifically now, so 112 00:05:52,240 --> 00:05:54,080 Speaker 2: we've seen a lot of that change and that adoption 113 00:05:54,160 --> 00:05:56,440 Speaker 2: happen at the moment. There are a couple of things 114 00:05:56,440 --> 00:05:58,200 Speaker 2: that I think are critical when we think about it 115 00:05:58,200 --> 00:06:01,719 Speaker 2: from an organizational standpoint. The starting point is what is 116 00:06:01,720 --> 00:06:04,280 Speaker 2: the strategy you know, from the company we talk about 117 00:06:04,279 --> 00:06:06,760 Speaker 2: the future of work. The future of work is really 118 00:06:06,800 --> 00:06:10,760 Speaker 2: about driving business growth where there's no trade off you know, 119 00:06:10,800 --> 00:06:13,040 Speaker 2: from a personal fulfillment point of view in the workplace. 120 00:06:13,120 --> 00:06:16,159 Speaker 2: That's the first thing. The second thing hinges around innovation. 121 00:06:16,760 --> 00:06:19,200 Speaker 2: What are you doing around innovation to really move the 122 00:06:19,279 --> 00:06:22,479 Speaker 2: organization forward to drive productivity kind of outcomes for the 123 00:06:22,480 --> 00:06:25,320 Speaker 2: company I think is critical. The last point is around 124 00:06:25,400 --> 00:06:27,680 Speaker 2: training and enablement. How do you take people on a 125 00:06:27,760 --> 00:06:30,159 Speaker 2: journey to make sure that they are comfortable and familiar 126 00:06:30,680 --> 00:06:33,080 Speaker 2: with what it is that AI, for example, can drive 127 00:06:33,120 --> 00:06:38,200 Speaker 2: an influence within the organization. So anchoring yourself around you know, 128 00:06:38,240 --> 00:06:40,520 Speaker 2: some very pivotal areas I think is critical for our 129 00:06:40,560 --> 00:06:41,279 Speaker 2: future success. 130 00:06:41,400 --> 00:06:44,320 Speaker 1: Do business leaders understand what you've just said, particularly around 131 00:06:44,320 --> 00:06:46,119 Speaker 1: the training and the innovation side of things. 132 00:06:46,839 --> 00:06:50,080 Speaker 2: I think they understand it. Whether we pay enough for 133 00:06:50,200 --> 00:06:53,320 Speaker 2: whether they pay enough attention to making sure that's implemented. 134 00:06:53,400 --> 00:06:56,960 Speaker 2: I think every organization is very different. At HP, we've 135 00:06:57,000 --> 00:06:59,520 Speaker 2: had a look at, you know, a lens that basically 136 00:06:59,720 --> 00:07:03,000 Speaker 2: comes it is both internal and external and this is 137 00:07:03,040 --> 00:07:05,560 Speaker 2: really what we call the AI Masterclass. So when we 138 00:07:05,600 --> 00:07:09,320 Speaker 2: talk AI specifically, we want to make sure that our 139 00:07:09,320 --> 00:07:12,040 Speaker 2: teams are very comfortable with the narrative, very comfortable with 140 00:07:12,080 --> 00:07:14,320 Speaker 2: the purpose and impact that it brings to the organization. 141 00:07:15,000 --> 00:07:16,920 Speaker 2: And we do that through making sure that we have 142 00:07:17,120 --> 00:07:20,600 Speaker 2: a master class of training available to everybody internally and 143 00:07:20,640 --> 00:07:24,640 Speaker 2: then certainly externally for our partners as well. And simple initiatives, 144 00:07:24,880 --> 00:07:27,520 Speaker 2: and this is just an example. As we start to 145 00:07:27,560 --> 00:07:31,040 Speaker 2: bake in the innovation into our edge device set, so 146 00:07:31,160 --> 00:07:34,720 Speaker 2: everything from our print to our PC to our collaboration space, 147 00:07:35,400 --> 00:07:37,560 Speaker 2: what we try and do is encourage our teams to 148 00:07:37,600 --> 00:07:40,040 Speaker 2: go through the training before you know, they get access 149 00:07:40,080 --> 00:07:42,400 Speaker 2: to these new devices so that they can be very 150 00:07:42,640 --> 00:07:45,920 Speaker 2: productive once receiving those devices. So, you know, there are 151 00:07:46,000 --> 00:07:48,080 Speaker 2: things that I think as leaders we can be doing 152 00:07:48,120 --> 00:07:51,520 Speaker 2: to stimulate and really encourage people to embrace what is 153 00:07:51,520 --> 00:07:52,320 Speaker 2: happening at the moment. 154 00:07:52,480 --> 00:07:54,760 Speaker 1: So if you were going to give one piece of 155 00:07:54,800 --> 00:07:57,440 Speaker 1: advice to an Australian CEO, he's just not quite sure 156 00:07:57,440 --> 00:08:00,280 Speaker 1: how to do it. Yeah, and it's not necess the 157 00:08:00,320 --> 00:08:04,080 Speaker 1: really big companies. It's probably not the big companies. How 158 00:08:04,080 --> 00:08:04,679 Speaker 1: do they start? 159 00:08:05,320 --> 00:08:08,720 Speaker 2: They start with understanding the benefits of what AI can 160 00:08:08,760 --> 00:08:12,520 Speaker 2: bring or technology can bring to their particular landscape, and 161 00:08:12,560 --> 00:08:14,240 Speaker 2: then make sure that you put the right tools and 162 00:08:14,280 --> 00:08:16,120 Speaker 2: processes in place for your team to go on the 163 00:08:16,160 --> 00:08:19,640 Speaker 2: journey with you. I think those are probably the two 164 00:08:19,840 --> 00:08:23,880 Speaker 2: best areas of focus that I would encourage leaders to 165 00:08:23,920 --> 00:08:24,360 Speaker 2: think about. 166 00:08:25,000 --> 00:08:27,000 Speaker 1: I've tell the story before, but I did a job 167 00:08:27,040 --> 00:08:30,040 Speaker 1: application on Sikh recently and what amazed me They said, 168 00:08:30,040 --> 00:08:32,440 Speaker 1: would you like us to write the job description? Which 169 00:08:32,440 --> 00:08:35,079 Speaker 1: it did and fantastic job and that's AI. And that 170 00:08:35,240 --> 00:08:40,600 Speaker 1: was an organization help helping me on AI. What we've 171 00:08:40,640 --> 00:08:43,719 Speaker 1: been talking about a lot is the organization helping their 172 00:08:43,800 --> 00:08:46,439 Speaker 1: own people and is it the focus on their own 173 00:08:46,480 --> 00:08:49,400 Speaker 1: people first before they then go out to their clients 174 00:08:49,840 --> 00:08:50,040 Speaker 1: or not. 175 00:08:50,400 --> 00:08:52,920 Speaker 2: I absolutely, you know, I think get comfortable with what 176 00:08:52,960 --> 00:08:55,960 Speaker 2: AI brings from a benefit point of view to organization internally, 177 00:08:56,000 --> 00:08:58,719 Speaker 2: build the culture code around that, and then you can 178 00:08:58,760 --> 00:09:01,880 Speaker 2: create meaningful value your customers that you're driving as well. 179 00:09:02,320 --> 00:09:06,200 Speaker 2: And so you know, when we think about how we 180 00:09:06,280 --> 00:09:08,520 Speaker 2: take that externally, there are a couple of things. Again, 181 00:09:08,960 --> 00:09:11,600 Speaker 2: how do you make that training available you know to 182 00:09:11,679 --> 00:09:15,120 Speaker 2: your external community. That's incredibly important. It shouldn't just be external, 183 00:09:15,200 --> 00:09:17,560 Speaker 2: should be or internal, It should be external as well. 184 00:09:18,120 --> 00:09:20,680 Speaker 2: And then the second point is use cases. You know, 185 00:09:20,720 --> 00:09:25,760 Speaker 2: it's always good to demonstrate meaningful impact through reality where 186 00:09:25,760 --> 00:09:29,120 Speaker 2: you've driven that change internally as well, and so use 187 00:09:29,200 --> 00:09:32,080 Speaker 2: cases from an AI point of view are becoming incredibly 188 00:09:32,120 --> 00:09:35,480 Speaker 2: important as you showcase the value that AI can bring 189 00:09:35,520 --> 00:09:40,520 Speaker 2: in terms of automation, productivity, gains, customer centric outcomes, et cetera. 190 00:09:40,920 --> 00:09:45,360 Speaker 2: Exciting or scary, are incredibly exciting and the time is now. 191 00:09:45,480 --> 00:09:47,760 Speaker 2: The time is embraced as quickly as you can and 192 00:09:47,800 --> 00:09:49,920 Speaker 2: make the best of the opportunity that you know that's 193 00:09:49,960 --> 00:09:52,920 Speaker 2: ahead of us. AI will amplify the impact of your 194 00:09:52,960 --> 00:09:55,000 Speaker 2: business and the growth that exists ahead of you. 195 00:09:55,360 --> 00:09:57,800 Speaker 1: Rad thank you for talking to Fearing Great great, thanks 196 00:09:57,840 --> 00:10:00,320 Speaker 1: so much, Sean. That was Brad Pulford, Managing direct of 197 00:10:00,600 --> 00:10:03,160 Speaker 1: HP Australia. This is the Fear and Greed Business Interview. 198 00:10:03,520 --> 00:10:05,920 Speaker 1: Join us every morning for the full episode of Fear 199 00:10:05,960 --> 00:10:08,480 Speaker 1: and Greed Business news you can use. I'm Shoan elma 200 00:10:08,800 --> 00:10:10,720 Speaker 1: Enjoy your day.