How Will AI Impact & Develop Careers

[Music] good afternoon your excellencies ladies and gentlemen and thank you for joining us today ladies and gentlemen the topic of this panel is deeply relevant to the work we do at adgm Academy as we are committed to Preparing individuals for the demands of a future shaped by Ai and emerging Technologies today we will will explore how AI is transforming career paths the skills needed to stay competitive and the role of Institutions like adgm Academy in equipping the workforce to thrive in this evolving landscape Dominique as someone leading in the AI and Innovation space how do you see AI reshaping career opportunities and what roles can educational institutes play in preparing individuals for these new Pathways yeah thank you so much you know I spend day in day out only really helping boards executive teams uh all all sorts of Executives all around the world to understand the impact of AI and the transformation that's happening and one of the biggest surprises I always run into is the more senior the people the less that they've played around with the technology and really gotten a great grasp on it so a lot of what really is lacking at the moment is trainings around how to understand and use the technology and not at a philosophical obviously data governance and privacy and all of these issues need to be addressed but really just at a practical level how do you bring it into your own personal work and everything that you do and I think one of the things that I've realized is when you have senior Executives that have actually gotten on board with the technology personally they then know how to drive a lot of the transformation that's going to come and one of the challenges that I see very often is that more Junior people are much better at adopting the technology starting to use it starting to understand how do you bring it in to the organization and I see more and more senior people that are leading businesses that don't necessarily understand all of the implications or don't use it personally in their work and I think that's where we really can focus a lot of the transformation and change on over the coming years because uh the reality is there's there's a challenge that we like to call genius gridlock in in our company which is you know we all know that we need to get on board with AI that we need to start to use it and understand it but there is no road map because this technology came out of almost nowhere two years ago from a personal perspective you know computer scientists have known about all of the evolution of Technology they're not they they're not surprised over the fact that in the in the last couple of years now everyone is talking about AI because of the evolution of the technology but the rest of us need to start get to get on board with how do you use and facilitate everything that we do in our jobs with technology and not about deep learning algorithms and machine learning but just from a practical perspective everything that you even just have in generative AI like we train up senior Executives and boards just to use the technology and then they get very excited about it and I think it's we've gotten over the period of time where uh you need to feel technology because everybody needs to get on board with it and so institutions that are helping with that upskilling obviously 80% of all employees pretty much need to be upskilled but the executive leadership teams also need to understand a lot of that technology and go through their upscaling it's fascinating how AI is opening new doors let's now turn to the skills required to succeed in this evolving landscape Professor Baldwin from your academic and professional experience what are the most critical AI complementary skills that individuals should develop and how can institutions like mbui and adjm Academy collaborate to Foster these skills thank you for the question lovely to be here so let me give a little bit of context first in terms of the institution and I'll actually answer the question um so mbui Muhammad binai University of artificial intelligence uh at the present we're a graduate only School uh programs are very much focus on AI innovators you we train the people who about building the models which are transforming the world and I as someone who's been in the field for 30 years I would have to say even 33 years ago if you'd ask me are we going to be where we are now I I I wouldn't have predicted that we are so even for us it's been a bit of a surprise still surprise is still a surprise um so you know for us for our own students our masters and PhD students you know they're very much at at the bleeding edge uh there's a new program we're introducing uh next year more for the AI Engineers a master of app applied AI there's an undergradu program for the entrepreneurs and Engineers uh that we're also developing at the moment um and we're heavily engaged in uh external education um but very much from an AI perspective something that I'll come back to later um so what the answer for our students versus for um sort of people who are outside the the sort of core AI ecosystem I I think is quite different so uh you know for people who aren't directly Hands-On involved in training the models and to be clear uh you don't need a large number of people to be hands on uh training the models as in you know kind of the the the core population the people who are actually building these models that we're all using nowadays uh you know probably numbers in the The Thousands it's it's no more than that who are at that absolute uh Apex of that that pyramid globally um so you know for the rest of of of us or or you uh what do you really need to know um there's a lot of talk about prompt engineering and prompt engineering is a skill that everyone should have and what people mean by that is uh the ability to successfully use these models to know their ins and outs and know that well if I word my prompt in a particular way I ask my question in a particular way I I'm more likely to get the sort of answer that I'm after and avoid uh particular wordings um and there's absolutely a role for uh understanding how how to use the tools um uh you know the the skills that you know the the teenagers and the youngsters are kind of learning themselves uh um organically by by using them um do I think that everyone needs to have training in impr prompt engineering I actually don't and the reason for that is the models we're using now versus the models we'll be using in you even 6 months but certainly 12 months are quite different the reason that people talk about prompt engineering now is be because we have very early generation very brittle systems where slight uh changes in wording when you get very different results that says more about the models than it does about the users honestly uh spending a lot of time training people in how to use the current gen models which are going to be obsolete in 12 months time I think is a complete waste of time uh um understanding how to use them for for shoot fuse shot training for example you know how to get the most out of them absolutely but there's only so far I think you should go um and I think uh a second component to that is having some Bas in you you don't have to understand the maths you don't have to understand how to to code up these models but yeah understanding at at a at an intuitive level how these models are trained you know getting that Glimpse under the the hood or looking over the the shoulder of someone who s of looking under the the hood and tinkering away at the engine and I think has immense value because it gives you all sorts of insights into ah yeah this didn't work but yeah given what I know about how the models are trained I'm not so surprised about that and uh um you know just having that uh as I say um uh intuitive understanding of of the uh you the intricacies of the the training Dynamics uh um to help uh um guide you as these models are evolving you know over the the months and years uh that come uh um so that you can perhaps be ahead of that curve and not have to be trained in prompt engineering so that you understand ah um you know given that I I have some inclination or some inkling about how these models are are being trained now oh okay the fact that they can now do these things I'm less surprised by thank you professor and we look forward to collaborating with mbz on this let's now explore the organizational perspective WM as a senior leader in the regulatory ecosystem how can adm's initiatives and platforms support Professionals in adapting to and thriving an AI augmented workplace right uh I think before I start I just want to agree with Dominic that being someone who has has not been involved with AI before getting that first hands-on experience is probably what overcome my fear as executive in using Ai and I've got I've got luckily U good colleagues to help me along the along the journey right so I I think in within adgm there are the formal um setting that will help individuals uh adopt Ai and I think adgm Academy is doing a great job at that uh because within the academy there are sort of programs that looks at the culture transformation um the actra technical um training of AI as well as uh how do we put in place the appropriate corporate governance structures to ensure that uh responsible deployment of AI so that's adgm Academy which is um a very very structured uh approach to adoption of um Ai and training of professionalist I I think within adgm and me wearing the lens of a regulator uh there are other more practitioner based approach to sort of um encouraging adoption of uh AI uh let me just give you a few examples right um I started the journey without knowing anything about AI so um the first thing that we did was to try to internally um get the Han of AI uh we start by recruiting people who knows about AI uh in the course of that knowledge transfer um we know that there's importance within the financial regulator before you regulate the industry you must know what we are doing right so um we want to come up with regory guidance but before we do that we need to put in place the safeguards internally for you so that we can set an example for the industry so we're quite fortunate to um engage a lawyer a law firm uh Gibson and D to help us uh sort of work with us to develop the gut rails around that so with that arm with that knowledge we now s have some Basics to understand how we want to regulate the industry uh but that's not enough right we want to know what are the tools that are able to help the industry um uh make use of AI um to also uh govern the processes within uh their own um methodologies their own Financial Services activities so let me get another example right um we've got firms who are using um U machine learning as well as uh various algorithms that makes decisions around Investments um so in order for them to do that we do have tools that we can provide them with to help them run their algorithms and that algorithm sort of sets out uh the various uh pitfalls the uh the various uh items for them to zoom in in order for them to ensure that the the AI does not suffer from things like hallucination biasness uh uh exclusion um and so and so forth right so those are tools that we try to get the industry to uh make use of to test their own systems I think finally uh we want to be eventually be able to to come up with tools that will allow them to improve their processes around their activities um so for example um you know today um the compliance officers struggle in terms of understanding uh our rules and regulations how to navigate our reg requirements so I think uh in due course we should be launching some tools very soon for the industry to help them navigate our rules and regulations and uh some of my colleagues have been working very hard to train the AI model uh this term called the retriever augment third generative AI model that was tght to me by my colleagues um it essentially helps them um the AI to zoom into our rules and regulations specifically for the data so that it doesn't hallucinate and give you uh answers that could uh lead you to another U another rabbit hold which is unintended so I think sort of um um the former approach to the adgm academy as well as um the um Regulators um sort of practitioner based approach of Engagement and we hope to be able to get the uh professional raise the AI professional adoption in uh adjm thank you Adam Dominique let's build on this with a practical perspective what steps can individuals take to ensure they're not just adapting to AI but also leveraging it as a tool for Meaningful career advancement yeah you know the biggest skill set now that you can have is just being okay with not knowing where all of this is going and I think the challenge is really it it is um because we don't know what skill set is even going to be needed for a lot of jobs maybe potentially in you know a couple of years so it's being able to navigate this space understanding that you just have to be okay with the unknown and be okay with trying and changing and using new technology and I think a a big piece of the skill set that people worry that they need is actually the technical side and I loved what our esteemed Professor just said which was in essence you don't have to be the person that's programming any of these models we have those people what you need to be is the executive the person that can lead your company through that transformation and change and if you don't understand the basics of completely agree on prompt engineering it it's too big of a of an idea that you have to understand exactly what phrasing to put into the systems the systems are smarter than that and they will continue to evolve and get better what you have to understand is how do you give the systems enough context and background and knowledge and understanding about your business and what you want out of the system and how do you start to develop AI agents that will then go and start to take care of large pieces of work that you used to have to do and if you're okay to be able to navigate in that environment it's not necessarily I always tell people that they should go and still study computer science and programming not because they necessarily will have to program in the future but there's a way of thinking it's almost how people who work in operations have always been in operations when you're in an operations role you understand how to take something that looks incredibly complex and break it down into little micro steps flying a plane you know every switch everything that you have to do in that in that role and if you can break all of that down into micro steps now you can start to solve it with technology because most technology is not going to go and solve from A to Z go fly the plane figure it out as you go probably not a great idea but if you can go and precisely program and work out what you need at every step and every juncture now you can start to rewire your business and that's what we need people to understand we need to have them understand what technology can potentially do and then how you can start to then innovate and transform your company because most CEOs aren't looking for a lot of um Innovation and change that is external tools that are about data and analytics and more insights on the business most CEOs right now you know what they want optimize my business I want fewer people or I want more stuff that can be done even with the existing teams and right now we are massively under served with experts in in the industry that understand how to rewire an entire business around all of this transformation and change I personally find it very exciting but I think most executives are terrified you know if you don't have that sector expertise or you don't understand where the technology is going like you know how are you going to lead through transformation and change and so the biggest thing people can do is pretty much what you had said you just have to try try it out you have to get yourself personally on board it's not rocket science because you don't have to be the one who's programming the algorithms it's getting over that Fear Factor and being able to just get things started that's an imparting advice Dominique thank you for that let me bounce the ball back to uh WM uh as AI continues to transform Industries which sectors do you see being most affected and how can adjm Academy and similar platforms help professionals prepare for these shifts uh I would see industries that are centered around heavy data analytics and research uh would benefit a lot from AI in the first instance but you know if you are user of co-pilot cat GPT and perplexity you would know it can virtually transform and raise the productivity of any industry vertical so I think um the adoption U is not just U the heavy data uh organizations but really across the board um Finance for sure it's very very transformative me working in the financial industry I can I mean some of the use cases would be how you detect fraud how you uh analyze credit how you uh personalize Financial Services based on the person's individual profile so the list goes on right so financial sector for sure um it will be heavily uh impacted um I suppose health I mean most literature would say health care because uh that's where a lot of Diagnostics are being um uh dependent on data um interestingly for myself legal and Regulatory I didn't expect it to be so transformational until I myself sort of adopt those tools internally uh to see how we can do most of the heavy lifting in terms of assessing our risk reports of our firms um I I think I might I I Throw Down The Gauntlet to my colleagues that I want uh application to be processed within one day I think U that is achiever achievable after having tried myself so um but the important thing is that will do the heavy lifting up front and then for us as human beings we still have to apply the lens and apply the Judgment C at the end of the day to see what makes sense or not right so red Leal and reg Tre um I suppose finally even in the retail and e-commerce spacee um how um AI generation uh AI engine has uh uh helped in the recommendation of your preferences your biases and uh your your spending habits and so and so forth thank you Alam to conclude our discussion I'd like to raise a question to all of our esteemed uh panelists with us today uh just very quickly if you can Envision one transformative change that AI will bring to careers over the next decade what would it be and how can we start preparing for it today Professor Baldwin uh oh um well can I give two answers uh um one from an AI practitioner perspective and one from a as General as long as you don't ask AI to answer the question yeah I'm not going to ask I I know too much about the models to ask AI to answer the question so you in terms of AI you know I I see uh ubiquity more support you know not just a handful of languages all languages you know crazy data modalities speech uh um uh you know sensory information smell uh you know it's all data as far as we're concerned so uh you know I I sort of see you know these encompassing models but at the same time more sort of vertical models models for S very particular applications rather than the Swiss Army knives which you have at the moment which are yeah they're good for cutting but you wouldn't use them to to cook a meal right you'd use an actual uh um forp purpose carving knife um uh in terms of the the sort of more general public uh you know I couldn't agree more with what Dominique was saying about getting on board with them embracing the Technologies rather than being afraid of the Technologies uh but always thinking of human in the loop uh human as the center of that equation uh and uh you know how to get the that um uh you that plus Alpha that um accelerant productivity or um you know cutting the the timelines for doing that work using AI tools rather than how can I fire half of my office staff through through AI because that I I think that's not the way that we should be thinking certainly for the next 10 years Dominique what do you think um so I am actually a firm believer that it's going to replace so many of the jobs but my thinking is um you know this is a career and an industry extinction level event because things are just going to transform so much and I think about for example lawyers or accountants or very specific Niche roles where you know people go to school for so long just to understand the principles and the language and things like you know law code and now a lot of that is going to just be transformed in terms of well why would you go to a person in order to understand the law if in reality you can go and just ask a system and I love this idea of like the very Niche technology that is going to be coming out because I find that that transformation is just going to be absolutely fantastically fascinating your biggest competitor just doesn't exist right now and that's that's how fast it's all going to transform last but not least WM um no I think everyone should just be prepared for this wave uh there's no avoiding it the faster you get used to it the faster you uh learn and emphasize uh your soft skills and let the heavy lifting of the analysis done by the AI I think the faster you you you innovate to overcome the innovation of AI why then Professor Balan and Dominque your responses have eliminated not only the immediate impact of AI on careers but also the transformative shifts we can anticipate in the decade ahead it's clear that while AI presents challenges it also unlocks astonishing opportunities for Innovation growth and collaboration across Industries ladies and gentlemen in Abu Dhabi the capital of capital we are committed to being at the Forefront of this transformation equipping individuals with the tools skills and mindsets needed to thrive in an a I driven world as we look ahead let us let us Embrace this era of change as a chance to reimagine our career paths and the future of work thank you [Music]