#179 What is agentic AI and what do communicators need to know about it? (ft. Bosco Anthony)

Agentic AI this, LLM AI that - you may be wondering… what does that even mean?

In this episode of the Less Chatter, More Matter podcast, we’re joined by AI strategist, futurist and storyteller Bosco Anthony to explore what the next wave of artificial intelligence means for communication, marketing and change professionals… plus, what agentic AI is.

Moving beyond tools like ChatGPT and Claude, Bosco explains the rise of agentic AI, how organisations are already integrating AI into everyday workflows, and why the future belongs to people who know how to orchestrate AI rather than simply use it.

Together, we discuss sophisticated prompt engineering, AI literacy, ethics, human oversight, and the skills that will become even more valuable as technology continues to evolve. We also explore the importance of curiosity over fear, why experimentation is critical, and how communicators can position themselves to thrive in an AI-enabled workplace.

Ultimately, the main thing we took from this podcast was that without adaptation through curiosity… you may be left behind. Not to worry though, this episode runs you through how to keep up, too.

Listen in now.

Links mentioned in this episode:

• Bosco’s website
• Bosco’s LinkedIn
• 90 minute Strategy Power Session
• Public workshops and training
• Less Chatter, More Matter - Mel’s book
• Template packs
• Change Isn't Hard! - Mel's book
• Sign up here to the fortnightly mail out of free resources!

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We are in an AI world, and things are moving so quickly, it can be really hard to keep up. As professional communicators and change managers, we are in the thick of it, whether it's exploring the tools ourselves or helping others to adapt and change. But are we really using AI to its full potential? What else could we be doing? And what could the future hold for our professions in this AI era? It's because of those questions that for today's episode, I interviewed the one and only Bosco Anthony. Bosco is a transformational digital strategist, international TEDx speaker, disruptive storyteller, and marketing futurist with extensive experience in corporate leadership and communications. As the CEO and managing partner of multiple global agencies and consultancies, including GRG, Access China, Bos & Co, and Fensum Advisory, he brings a dynamic mix of expertise in technology adoption, public relations, communications, marketing, and advertising. With a remarkable ability to inspire, Bosco equips audiences with the insights and strategies needed to thrive in an evolving marketplace. He assists his clients in navigating critical thinking from what is to what if to embrace the superhuman era. In this conversation, Bosco shares some of what he and his team are working on at the forefront of AI in marketing, PR, and comms, what's worrying him, and what excites him about AI. Honestly, Bosco and I could have nerded out about this stuff for hours, and I could have gone down so many rabbit holes, but luckily for you, dear listener, I did not. But you will still find this episode packed with gold nuggets. So without further ado, here's Bosco Bosco, welcome to Less Chatter, More Matter. Thanks for having me, Mel. It is a pleasure to finally have you on the show. We've known each other a little while, but for the people who are listening who may not know who you are, tell us a bit about you. Who are you? How did you-- What do you do? How do you come to develop your expertise in that space? Fair enough. Uh, I am Bosco Anthony. I am a CEO of a progressive, uh, performance media agency called GRG. I also have a few other agencies as well. Um, I'm a marketer by trade, a storyteller by instinct, and a futurist by curiosity. Oh, I like that. Very good. And, uh, when you say you've had a few other-- you've got a few other agencies, you've worked around the world, haven't you? Tell us a bit about that. Yeah. So I've been fortunate enough to… I'm an immigrant a- as well, but I, uh, was born in Tanzania, moved to Vancouver, uh, in two thousand and two. Spent about 18 years there at an agency, and then exited out and, uh, moved here around twenty twenty… I wanna say twenty nineteen. Uh, and this was just before the apocalypse, and then decided to call Australia home. And yeah, so I started off my consultancy again here. Um, I'm consult, um, I'm consulting a few different groups, a PR and, and communication firm. I have my own supply chain. Uh, we have an agency in China as well now that we've set up shop in, and then we have the performance media agency and a few other, uh, businesses as well. So I don't sleep much, but, uh- … but I do rely on robots every day. Well, let's get into that 'cause that's why I wanted to talk to you today. Um, when we think about AI, right now, most people are probably thinking about tools like ChatGPT or Claude or Google Gemini. What role do you see those tools in particular playing in our lives as professional communicators or change managers? Yeah. So I think, uh, I think the tools are designed for us to… They're utility tools, so they're, they're designed for human dependency as well. But it, you know, uh, the, the challenge is, is that we have to do more than how we're currently feeding it. So when we think about prompt engineering, um, there's a difference between regular prompt engineering and sophisticated prompt engineering, um, and it's how you communicate. So believe it or not, you actually need to be a strong communicator when you're dealing with these tools because the input you give is the output you get. So if your input is lazy, then the output won't be actually the, the response you're looking for. So now more than ever, um, we actually have to be really strong communicators with these tools as well. Now, the, these tools are utility tools, but the world has seen so much more in the last few years. We're seeing progression in agentic AI, we're seeing progression in, in workflows. Um, in, in the creative industry specifically, we've started to see enhancements now as well. Um, Allianz was the first company that just produced a commercial completely made by AI, AI, and it's now, it's now in TV. Um, the, the commercial's online. You-- everyone can see it. Um, and the creative industry's taken a massive beating, not because we're seeing, you know, people get replaced. Yes, Facebook, you know, Meta laid off 8,000 people, Amazon and all these big companies have started to lay people off, but it's because those skills have started to become irrelevant or they're starting to get completely enhanced. So, you know, there's a place for, for the human workforce. There's either gonna be a, a, a shift to humans in the loop where we have to start to monitor and be quality control, or we need to start to enhance and check the work of the robots, which we're already seeing right now. But more importantly, these tools are, are base layer tools for utility. The next step now is the integration of how does it work with the rest of our business life or our life in general. And I think we're not really ready for that. I think the workforces right now, uh, are still stuck in that, you know, should AI be used, you know. Uh, I, I, I always laugh when people say, "Yes, we use AI," and then when you start to dig a little deeper, Copilot is mentioned as the tool that they use. And, and Copilot is just a safe software that comes with an MS Office package. But really, i- if that's your version of, of AI, there's still so much out there. Um, and we're gonna see, you know, progression in ethics, we're gonna see progression in how we look at things, we're gonna see progression in quality control. It, it's, it's being infused in every part of our life and I think, uh, the scary part is we're not ready for it. Hmm. Actually, I wanna go back to something you mentioned just before. So for people who may not be aware because they think AI is Copilot, what's the difference between a tool like AI and what is agentic AI? Right. Great question. So, um, and this might freak you out as well, but, uh, in the last few years, GRG has been exploring agentic AI, and that is the sophistication of agent robots in the utility of workflow. And I'll give you a specific great example. So, uh, GRG specialises in marketing for international leads to universities and education institutions. We generate for some of these universities, you know, forty to fifty thousand leads. Some of these leads come in outside of Australian time zones. Now, back in the day, the student might wait, or they'll try again, or they'll try to reach out two, three, four days. That has changed. Students are now shopping around. They want accessibility right away. They wanna speak to someone. What do you do as a business owner if you don't have that capability of working outside of time zones? So in this particular case, we were like, we're not trying to replace humans, we're gonna create robotic agents that work inbound lines at post Australian time zones. So these robots come to life, um, after, after hours. They work through the morning. They're there to train the robots to-- Uh, the robots already are trained to read scripts, but more importantly, they're there to either do human triaging or human scheduling or human, um, support. So they're there to book and take appointments, take consultations. They're there to answer basic questions. Uh, we've already started to see that in the travel phone lines. Companies like bookings.com give consumers a choice. You can wait for an hour to speak to a human, or you can speak to a robot within thirty seconds. Uh, we've already started to see it in the banking side of things. And so, you know, people were like: Oh, well, does this work? And is it actually strong enough? Well, I can tell you right now, in the last two years, we have seen progression of the robotic voices. Six months ago, uh, we were basically, um, starting to play with robotics. Now we're starting to do accents. I just heard a robot that sounds like me, so it's basically using my voice. We're-- At, at GRG right now, we are trialing human voices on actual robots that sound exactly like myself or someone else. So we can do voice mirroring now as well. So it's come a long way. Um, it can do languages, it can do linguistics, it can do translations, it can do transcripts, monitoring, quality control. Um, so when a human comes back the next day, there's meetings scheduled. We also have, you know, specialists that use robots for receptionist work. And it's funny because a lot of people book their appointments after Australian working hours. So I have clients today that went, you'd be surprised how many people pick up the phone and speak to our robots at 6:00 PM or 7:00 PM at night, right? Mm. So AI is not coming for your jobs. AI is coming for the inefficiencies and the excuses, right? AI doesn't care what time you work or you don't work. It's there to basically orchestrate itself when you need it the most. So if Australians don't wanna work past 5:00 PM, that's the perfect time to integrate AI. Hmm. And it's, it's interesting you say that, and you mentioned just before about the ethics around this continuing to grow. Like we've seen a lot of deep fakes in the political arena particularly, um, TikTok is rife with them. And as you're talking about, you know, this ability to mimic voices and those sorts of things is, um, coming along. How do you guys at GRG sort of balance that, you know, going with the efficiencies, but making sure there's still an ethical transparency around what's happening? Yeah, look, it's-- The technology for cloning and, and deepfakes is there. Unfortunately, it's become a utility. There's tools for it. There's also tools to watermark it and tag it so you know what's real and what's not real. So th-there, there is tools that exist that tells you what's different from each other. But a-as a company, we're, you know, we're not using it for a political agenda. We're not there to use it for, you know, um, a religious or, or propaganda side of things. We're working with businesses. So one of the f- the quickest businesses that adapt to the agentic AI in Australia is tradies. So tradies, as we all know, um, if you've tried to get your air condition fixed or try to get something in your house fixed, it's so hard to get labor sometimes because try, try getting a tradie to come fix your air conditioner in the summertime. It just doesn't work because, you know, we- they're booked out. So, um, so that's an industry that, you know, they're, they're so focused on being on the ground and, and, and doing their craft that they're not necessarily there to pick up phone calls. So, you know, we, we brought this technology to industries that needed it the most. Um, students, international students are wanting information centres. We just don't have enough humans, you know? We found through our intelligence and data that an international lead was coming in

at 2:00 AM Australia time or 12: 11:34

00 PM. You know, like we, we were doing data sets by the hour, and the majority of international leads come outside of Australian time zones. So, you know, there's a lot of universities and institutions that have archaic systems that, that don't speak to each other. They go through 30 layers of tech stacks, seven stages of enrollment. And so the reason why I'm generating 50,000 leads is because we have an 85% lead drop-off. So, you know, we as a company, w-we became really intelligent and said, "We're not just a full-service marketing agency. We're not just a communication agency. W-we are transforming our business and transforming our clients' business as a result of this as well." And, and some of these things I, I show on stage. Uh, you and I happen to be, uh, affiliated with the Fusion conference and, you know, one of the things I'm gonna be showing is a lot of how we actually communicate. There's a lot of people that say that they use AI. We're actually gonna show case studies and examples, and I'm gonna show the evolution of human voice through robotics, which is an interesting thing when you start to hear where the robots were and where they are today, right? So, so it's evolving very quickly, and there are guide rails and there are ways to sort of safeguard situations. But I think the-- to going back to your question, businesses and humans have to make the right choices, and there's gonna be a lot of forks along the road where we have to make the right choices. Uh, you know, and that looks at all the different scenarios. It looks at the preservation of the human workforce. It looks at peace. It looks at, okay, if you are displacing 8,000 people or 20,000 people or entire sector or entire country, how are we gonna look after those people or how are we gonna preserve them? And that's the conversation that we need to be having more of, uh, because those are the questions that are currently just fading away. You know, we're talking about the advancement of a, an evolved species and the superhuman era and the technology, but what about the people who are left behind? Mm. And that's, that's a real concern for a lot of people. And, um, you know, definitely in the comms profession, I'm sure you've heard it, uh, there are a lot of people out there who are worried that AI is going to replace them. Um, one of the things you said before was, you know, not coming for the jobs but coming for the inefficiencies. If we think about, you know, the, the day-to-day of a comms person, whether it's in a project team, it's in a corporate affairs team, in a corporate, whatever that looks like, what do you think are some of the things they should be pivoting on to make sure their s- their value's still recognised and not being replaced with an AI tool? Yeah. Uh, so I, I think the first place is understanding the acceptance of where you are. If you are asking, "Should I be using these tools? Should they exist?" Um, it's a little too late because, you know, I, I think, Mel, you have seen me speak now for a few years, and I've been showing, you know, audiences the advancement of technology. And, and people thought I was a crazy person two years ago when I was showing them different things, and people were like, "Oh, you know, we're still gonna need humans and everything else." Yes, humans are still gonna be in the loop. But the ones you have to be worried about are the ones who are understanding it and learning how to orchestrate AI. So the key part here as communicators is we have to learn how to orchestrate it, we have to learn what a human in the loop is, and we have to learn when to apply it, when to use it, when to step away from it, when to monitor it, when to leverage it. Um, AI was machine learning in the '60s. It's embedded in our lives. For someone who goes, "Oh, I don't use AI," well, if you're watching Netflix, technically you are using it. If you're on a Spotify playlist, you are using it. It's, it's in our lives, right? Um, so as communicators, I think understanding sophisticated prompt engineering, understand the layer between the product of AI versus what you put out there, uh, these are all common practices. But, you know, let's use the field of com-communication today. Um, PR companies now have the option in some parts of the world to automate AI to send outreach to journalists, and it's called permission-based, uh, outreach, where journalists can get text, agentic AI, emails, and they have the choice on what story they wanna pursue. Um, AI has the ability to take a update and, you know, let's-- I'll, I'll use your LinkedIn post, Beware of the Snake, and AI can literally turn that into different signs, signals. Uh, it can be used for the disability side of things as well. At the moment, GRG is exploring agentic AI for voice recognition for people who are deaf in the accessibility space. Love it. So there's so much we can use with AI and leverage it. The thing is, we have to eliminate fear, and we have to accept, okay, this is where we are, this is the era. And the question y- the, the, the question that everyone should ask ourselves is, what could we do with AI if we knew we couldn't fail? And that's the hard question because that's, that's a question we c- could ask ourselves in life. What could we do every day if we couldn't fail, right? Like, Mel, if I said to you today, you know, "What would you do as a person today if you couldn't fail?" What would be the first answer that comes to mind? I'd fly a plane Okay. That changes your trajectory completely from what you're doing in communication, right? But my point is, is that, um, you know, that, that's the scenario here that we need to do. So rather than going, "Oh, AI is here to take our jobs, AI is here…" You know, yes, there, there's fears and there's legitimate fears, and things are going on in that space. But imagine if communicators came together and said, "We have a problem. Let's put our heads together and fix this." You know, we're already seeing that. Like a, a reporter gets pitched 4 to 500 times a day on different media angles. Imagine if a reporter had a way to select the best stories leveraging AI, and imagine if we had to become stronger communicators using AI to get that story out to the reporter. You know what I mean? The-- That's just one example of communication, but I'm sure if we change the question and you looked at everything we do today with AI and communication, and we said to ourselves, "How could we use AI to fix things?" We're now moving from, uh, prompt engineering to AI orchestration, and that's the next layer because AI has done studying with patterns. It's now moving to human behaviour, and it's starting to study human behaviour, and that requires us to start feeding it even different, more, like even more outputs, uh, inputs as well to get better outputs. Yeah. Yeah. And it's, uh, interesting you say that too, because I've just done some, a little bit of research around comfort levels on AI, what people are comfortable using it for, what they're not. Um, predominantly communications type of use cases. Uh, but what comes to mind with me with those results is we don't know what we don't know. So until you've tried AI for some of these things, how do you know if it's good or bad or indifferent? Yeah. And we've been like that in many places before, right? Before the advent of social media, before the internet, you know, all of these things have come and gone. We've gotten use and they've become a da- part of our daily lives, and we've moved on. So for me, this is, it's one of those things where we need to experiment. We need to be actively trying things and just seeing- Mm what sticks and what doesn't. 100%. And what might not stick today will change tomorrow. Mm-hmm. So, uh, back in the day, I tried playing with my facial recognition and tried to do things with ChatGPT, and it made me look like an alien, and I was like, "That's not me." And then it upgraded its cards, and it upgraded its memory, and it's upgraded its, its, um, you know, GPTs, and all of a sudden now I can't tell the difference between my face and one that has a cyborg next to my face combined together, right? So it's come a long way. And, and so yes, AI will stumble. There are moments where it, it hallucinates, or there are moments where I actually break the system and it says, "I'm sorry, I cannot do this task that you've asked me to because I just don't have enough resources." Um, and, and that's great because now I know where I'm pushing it to the limit, and now I know how to work around it. So I've been working with an AI recently. Um, you know, I used a GPT Pro plan. I put in 10,000 words, and it said it could only do up to 3,000 words- Mm… before it starts to break and fall apart. So it said the ul- So I said, "How would you fix this?" And it said, "Well, I can give you your response back in three parts as opposed to one part." And that was how we worked around it. Mm. So that, that's the layer of where we need to go moving forward, is that experimentation. Because l- you know, at the end of the day, every major technological shift has rewarded the people who are curious. Mm. Totally agree. And just on that too, so we've talked about, you know, large language models. That's what a lot of us are using, and we're-- I think a lot more people are comfortable with using those. You know, um, again, my research shows actually the boomer age group is very comfortable with using those sorts of technologies. But as communicators or change people, what are some of the other tools do you think we should be looking at? Uh, look, I mean, if you start to get to agentic status, you're, you're starting to use it, you're moving into orchestration. But there's tools for every facet. There's tools for data analysis, there's tools for coding. Claude has just upgraded a lot of its Claude coding tools. Um, I've been working on legal documents within Claude, and pound for pound, it is just v-- it is scary what Claude can do. Um, you and I both have our own businesses. I've been using it for accounting. Scary what it can do into Xero. So they're all sort of, you know, I, I'm still really heavily focused on, on the large language models, but I'm now starting to integrate it with my business utilities. So Claude and Xero work really well together. Uh, Claude from a legal perspective, some of the agreements and drafts are really strong. Um, my business partner who runs a communication agency, um, he works in the mining sector. He's constantly sending me these NDA agreements and other types of agreements, and we're, we're picking it apart because AI can pick things up so much quicker, and we'll compare what a lawyer has given us versus what AI has given us, and it's, it's just scary the contrast of relations. So I think as, as people, um, I think the question that we need to ask ourselves is, is it's not necessarily what layer that you're using it, but how are you orchestrating and integrating it into the other facets of your life or business? Um, and we're seeing great returns. Um, w- I think, you know, when I say bookkeepers and, and you know, people should be worried, it's not that they should worry-- be worried about losing their jobs. They should be worried about evolving their skill sets because, you know, some of the base skill sets are going to start to get replaced, you know, and, and we're seeing it th-throughout everything. Now, having said that, I've also found errors, and that's where humans in the loop and quality control will come into big play. Great example, just two weeks ago, I needed to polish something. I needed to be three hundred words for an award nomination, and it kept saying, "Yeah, I've given you something that's under three hundred words." But when you actually put it into Word, it was three hundred and five words. And we were like, "Uh-uh, this is an error." And it's done it like… So it kept making the same error over and over again. So, so there are ways to trip AI and, and so I think what I've learnt is to understand the flaws, work around it, but also create guide rails to fix those solutions as well. So that's the next era of where we're moving into, is, is even sophisticating how we use AI. Two questions for you. One is- Yeah … what excites you about AI at the moment, and what's worrying you? Um, well, uh, let's, that's a, that's a loaded question 'cause there's a lot that excites me and, uh, uh- What's the biggest thing that's exciting you then? What's the main thing? Yeah. Yeah. Look, I think, I think, you know, as a futurist and as a, uh, storyteller, I'm really excited because we are seeing every single day, uh, validation of our work leveraging AI. So we came up with the world's first tool where we can see what ads, what creative elements should go into a digital ad So we could walk into a pitch, we could do digital advertising and actually tell the consumer what are some of the creative elements that are working. Without, uh, stifling originality or creativity, once we know what the guide rails are, we can a- actually enhance the capabilities of what to put in an ad. So this was a few years ago. We brought it to market in Australia. Sixty percent of the Australian universities use that technology. Uh, we've rebranded, call it Atlas Ad Intelligence, and that technology has probably been the most rewarding and the thing that really excites me because we discovered new platforms, we discovered cultural nuances, we discovered behavioural insights. Today, that technology is across 17 different verticals, but we just finished some amazing campaigns. We had one of our biggest campaigns with Study Melbourne, three years in, two point four billion impressions, four hundred thousand call to actions on their website. Was their-- It was their biggest performance in campaign history. Um, and consistently we, with TikTok videos, with TikTok promotions, with, uh, videos, YouTube, we're constantly seeing other clients seeing, you know, exceeding benchmarks. We even had platforms in China recognise our ad campaigns as being the industry benchmark for the sector. So for me, having those visual cues to say, "Hey, we're an organisation that isn't fearful of AI, and we're actually putting our best foot forward to empower our clients," that's rewarding. Um, what keeps me up at night is, um, the reluctance and the fear and, and sure, some of that fear is valid, but technology rarely destroys careers overnight. It's usually stagnation that does, right? So if you think about the keyboard error and the typewriter, you know, this is the same error as that time when we were replacing the keyboards. It's the same error as when we moved from, uh, DVDs to streaming. It's that same error if we moved from the VHS tapes to the DVD player. Like there's a, there's a point in time right now where humans are evolving, and I am just worried, uh, about the conversations around what happens to the human race- Mm outside of it. I've, I've learnt very quickly that I needed to adapt to survive, and I know that there's a lot of people that aren't adapting and, and there are others that need that, that skill set which has created, you know, work for myself and my companies and, and people like yourself and I. Uh, but there's a bigger conversation around, you know, what choices are we making for the human race that still keep me up at night. Mm. That's-- And that's a big existential question. Um, so I think on that note, uh, we have covered a lot of ground. There's one more question. If there were three things you think we should be exploring right now, what are they? Ooh. Uh, all right. So the first one would be simple. I think AI literacy is something that everyone should have. Um, and I think you having communicators like yourself or myself, practitioners like us to come into workforces and help workforces understand it, demystify it, simplify it, create guide rails, is really important. One thing every company needs to have right now is an innovation month once a month or, or once every few weeks, and invite guest speakers to come in and, and train them. That's something I highly recommend. Um, I've got clients, a great client recently that, that brings me in. I think I've done two for their, their innovation workshops, is FKG. They're a family-based business out of Toowoomba. They've, they've had guest speakers come in. I've come in myself and, and done some stuff, and I've had other speakers come in to do stuff for them as well. But that's a, a progressive company that understands things are changing, that understands that the world is changing, and they wanna prepare their people. Um, I can't tell you how many other companies out there wanting to transform their workplace. So having an innovation month to create AI literacy, but not just AI literacy, just technology changes and advancements in general, is great. You learn so many different things. Um- But even for me, uh, working with people, I get to learn new tools. Um, I have a team, I have a gentleman by the name of Arturo that discovered Manus, and Manus is a tool that allows you to enhance your, your, your PowerPoint presentations and, and, you know, for anyone who works in agency land, we're constantly driven by deadlines. Manus is our, our key to answering those deadlines as well. So, so AI literacy is really cool. The next thing is sophisticated prompt engineering, which means that you need communication skills to learn how to communicate with an LLM and give it a proper brief. So not just basic human lazy inputs, but really understanding, um, prompt stacking, uh, p-prompt comparisons, parallel prompts, so taking one prompt from one stack and moving into another stack and comparing the two, learning about humans, quality control, all of those things around sophisticated prompt engineering is gonna be really important to get a stronger AI output. Um, and then for me, that human skill set is, is right now probably at its premium. So things like empathy, judgment, trust, monitoring, quality control, these are some of the biggest premium skills we're going to need because not only do people struggle with soft skills, but more importantly, these are the skills that are going to allow us to experiment daily, learn publicly, stay relentlessly human while we're understanding and monitoring the output. So I'm not, you know, I'm not here to say, "Hey, your job is completely gonna be replaced." I think your job is going to be completely changed and evolved. And as communicators, one of the biggest lessons I've learned is that silence has taught me more about communication than speaking ever did. So actually analysing the outputs and actually using your brain to, to understand what's right and what's incorrect, those are some crucial skill sets in the future. Perfect. Well, on that note, we have three questions we ask every guest on the podcast. Are you ready for those? Yep. Yeah, hit me. All right. First one, what is an unexpected or left-of-field way you learned a valuable lesson about communication? Yeah. So look, for me, it would probably be about saying less than more. And some of the best communicators have always focused on the context and the clarity. So it was a very unexpected lesson for me because when I worked with my mentor, I had all this information, and he-- his, his message to me was, "How do you say it in a very short, contextual way to create clarity?" So it was not something I was expecting going into my career, but I've always used that lesson when it comes to advertising and storytelling, is how can you create impact with very little words. Love it. What is a book or podcast you love and would recommend to our listeners? Well, I've been following your podcast, so I will give your podcast a shameless plug. But, uh, but yeah, book-wise, I, uh, I read a lot. I read about six books at the same time. I have a couple of guilty pleasures, like, uh, for the airport, I, I'm, I am reading the Dan Brown book right now- Ah The, The Secret of Secrets, which look, it's a tra- it's a trashy book, but that's my guilty pleasure- Good story … when you're stuck on a plane for a while. It's a good story. But, uh, at the moment, I am reading The Psychology of Money, which is a great book, not only about finance, but about human behaviour. Um, and The Almanac of Naval Rafiqat, uh, which is a masterclass in leverage, judgment, and long-term thinking. So there's a couple of books that I am reading as well. But, uh, but yes, I wouldn't say I have one favourite one. I tend-- M-my favorite book is the next one. Love it. And final question, if you could wave your magic wand and change one thing about communication in the workplace, what would it be? Yeah. Look, I don't think we have a communication problem. We have a prioritisation problem. Mm. And I think that's the reality of it is, is, is humans, uh, don't need more updates. They need more certainty. Um, but I, I think also, you know, I think we need to-- It, it's interesting because I can tell a level of a fear, um, based on the type of questions I get when I'm on stage, and a lot of those questions are, are, you know, hidden in ethics and this and that. And I go, "Listen, it's here. We need to embrace it. We need to just embrace the fear and move on with it." So for me, if I could wave my man-magic wand, I would try to inspire people to start acting out of love as opposed to fear. And I would probably get people to ask the qu- the different sets of questions, which is, "What would we do differently if we knew we couldn't fail?" Love it. Well, thank you so much for your time today, Bosco. If people wanted to find out more about you and the work that you do, what's the best way for them to do that? Uh, look, I'm on all the socials, as they say, under Bosco Anthony. Uh, you can pretty much reach me out there, but I also have an email called bosco@boscoanthony.com. Um, you can reach us at GRG if you wanna talk about the, the a- the agentic robots as well. So, um, yeah, there's different brands. If you just Google my name, there's different ways to find me. Um, and actually, I think I can also be found now on the GPTs 'cause they've now started to scan a lot of my press releases and, and content sources there. But, uh, but yeah, thanks for having me, Mel, and always a pleasure to, to nerd out with you on your podcast. Awesome. Thanks so much. And we'll see you at the IABC Fusion Conference in Brisbane, so if people are around Australia, wanna come and see Bosco in the flesh and, uh, see all the exciting things he mentioned earlier around how the AI tools have evolved, come along in October. We'll see you there. Look forward to it Thank you so much