The PRWIRE Press Releases https:// 2019-01-14T03:38:28Z Artificial Intelligence: Are we destined for a dystopian future where one company reigns supreme power? 2019-01-14T03:38:28Z artificial-intelligence-are-we-destined-for-a-dystopian-future-where-one-company-reigns-supreme-power-1 Imagine a world where a single corporation reigns supreme power over all. Like an umbilical cord to an unborn child, this company provides the precious and necessary resources to any that wish to thrive. It collects billions of terabytes of data with its millions of CPUs, every minute, constantly churning and processing at speeds that are unfathomable to many. Growing ‘smarter’ every day it has the ability to connect billions of products and services to billions of people, in nanoseconds. Those that feed the connection with valuable raw data are rewarded accordingly and life gets better for those people. If, however one was to break the rules and be restricted from the connection, their organisation will most certainly fail and die due to lack of insight and inability to compete with those who remain connected. The rules are made, of course, by the corporation and the corporation decides whether you are or are not worthy of its precious connection. Sounds like a science fiction movie, but it could be the reality of at least one of our dystopian futures. A single organisation who provides connectivity to a private neural network. This network comprises of the billions of terabytes of data, but more importantly, it is all meaningfully interpreted and organised to deliver the most precise and efficient value anyone has ever experienced. Can one company rule the roost? There are some people that say, one company simply can not win the AI race, that it is a collective resource and that neural networks are distributed and owned by many. To some degree, I agree with that sentiment, however, I also believe that the true power and growth of AI lies in its ability to interpret and implement in the most efficient ways possible. Bob Picciano, Senior Vice President, Information and Analytics at IBM, identified big data as the new natural resource. Therefore if we say that big data is the worlds largest natural resource, then the algorithms that power AI are the machinery fuelled by the resource. My view is that the core of the AI revolution is going to be somewhat a reverse of what we saw in the industrial revolution. During the industrial revolution, the unequal power went to those who could produce and distribute the recourses, think of oil companies, mining companies, etc. These were a few very large and powerful companies in large markets (oligopoly’s and monopolies). The manufacturers consumed the resources to create value-added output, such as steel, cars, products, etc. Although there were a few large powerful companies that produced, the majority of the production companies were small and medium-sized firms that had lots of competition. AI: just like the industrial revolution, just in reverse! With AI, this will be reversed, the ‘natural’ resource (big data) will be provided by many smaller contributors who will collect data in many different, innovative ways and the value-add will be how that data is translated and converted to value (AI Algorithm and hardware). The reason I believe this will be the case is due to one thing, efficiency. The ability of one central and private network to crunch data, interoperate it and deliver will be much higher than any smaller operator and therefore the smaller operator will (out of logic) enlist the services of the larger organisation. If Ai was like an oil refinery, imagine if you took every stage of the refinery process and placed it among different companies with different rules and regulations. It would be foolish to assume that you could manufacture finished fuel in any efficient manner. Conclusion The fundamentals that fuelled the rise of the ‘corporation’ will also fuel the rise of AI. At the epicentre will be the king of efficiency, a leader that can process and deliver the raw and semi-processed data into a more coveted valuable output, such as increased sales, the latest vehicle design or even city planning and design. All this will be driven ultimately by cost reduction and speed to market. The AI revolution: Are any jobs safe? 2018-12-04T07:54:35Z the-ai-revolution-are-any-jobs-safe It is not known exactly what percentage of jobs today existed 100 years ago, however, some have estimated this figure to be less than 10%. This means that if history has anything to tell us, 90% of the jobs today will not exist in 100 years time. While that may sound terrifying to some, to others it simply an element of advancing the human race. Whether you like it or not, technology and AI will most probably either take or displace your job in the coming years. Whilst some industries will undoubtedly be sooner rather than later, the reality is, it’s more of a case of when rather than if. It is not a matter of if but when. I occasionally meet people that have a very firm view that “their job could never be replaced by robots” and that “there are elements of their job that robots simply can not replicate”. While this may be true for the present time, as technology develops it will not only perform those elements but perform them with such precision and speed that it would be unprofitable, illogical and maybe even unethical to perform them using humans. If we look back historically, we can see this was the case for both the industrial revolution and the digital revolution. I am sure that if you were around in the early 1900’s, many would have argued until they were blue in the face that a machine could not paint a car faster than a human, or a car will never be as dependable as a healthy horse. Kevin Kelly put it brilliantly in identifying that there are in fact seven stages that a technology undergoes before it replaces a human worker. 1: A robot/computer cannot possibly do the tasks I do  2: [Later] Ok, it can do a lot of those tasks, but it can’t do everything I do.  3: [Later] Ok, it can do everything I do, except it needs me when it breaks down, which is often.  4: [Later] Ok, it operates flawlessly on routine stuff, but I need to train it for new tasks.  5: [Later] Ok, Ok, it can have my old boring job, because it’s obvious that was not a job humans were meant to do.  6: [Later] Wow, now that robots are doing my old job, my new job is much more interesting and pays more!  7: [Later] I am so glad that a robot/computer cannot possibly do what I do now. [Repeat] As we can see with the cycle that Kevin Kelly identified, the process is somewhat linear. The speed at which each stage progresses, however, depends on the rate of technological advancement in that particular industry. For example, if we look at a regular accounting job today, we could say that this particular profession sits on stage 2. Computers do most of the calculating, organising, processing and filtering, however, humans are still required to oversee the entire process, for example, interpreting and double checking the data before and after it is entered into the machine or software. I would say that the accounting profession has remained in stage 2 for the past 20 or so years, mainly because to get to stage 3, there is a cognitive element required by the machine, one of which has not been developed yet. I would be as bold as to say there are many industries and jobs, sitting on stage 2 ready for a huge disruption as they move to stage 3 very soon. The Stage 3 enabler: AI The next revolution, as I am sure many would agree, is going to be the AI revolution. As AI develops in the coming years, it will no doubt move many occupations from stage 2 to 3. Once on stage 3, incremental improvements will eventually advance the occupation through to stage 7 in rapid succession. What does this all mean? Occupations that were traditionally seen as safe, will enter a world of new competition, powered by smart people making even smarter machines. As we approach this inflection point and rewrite the history books, we must prepare our workforce and society for the new wave of change. To put it simply, AI will be the biggest disrupt to the workforce since the industrial revolution (maybe bigger), except the world will have 4 times the population, that is a lot of disruption. An example I like to use is the invention of the motor vehicle, yes it displaced around 700k jobs in the US, of which only 100k were directly created by the motor vehicle factories themselves. What it did do however is spawn brand new industries, think of service stations, car washes, mechanics, roadways, infrastructure etc. It is said that the flow on effect of the motor vehicle revolution exponentially created many more jobs than it displaced.   To prepare for this revolution we must find answers to some of the following questions; What will the next wave of jobs be? Where should universities and training institutions focus their resources? What skills will be highly valued in the next 5-10 and 10-20 years? According to a study by Deloitte, the skills half-life is now at 5 years. What will the half-life be after a world of AI? Many would say that technology is moving much faster than our society can handle. Marina Gorbis, executive director of the Institute for the Future, highlights that “the creations coming out of Silicon Valley in the form of apps, devices and software platforms are not so much facilitating a “race against the machines,” but a race against our own social institutions, values and practices”. I agree with this sentiment and believe that current technologies are outpacing our ability to adapt the education, legislation and socialisation elements of our society to work in harmony with it? Conclusion In a world of super-fast technological adoption, the AI revolution will arrive and could potentially change our world more rapidly than the rate at which we can comfortably adapt to. We must prepare ourselves as best as possible and have an open mind about what lies ahead and how it is going to shape the landscape of employment and skill requirements. Although initially, any disruptive technology will bring with it technological unemployment and displace jobs, in the mid-long term it has always proven to have a net positive effect on society. About: is a future technology consultancy based in Melbourne Australia. Our mission is to explore the future of disruptive technologies, the impact it is having on business and society and how to implement strategies to best take advantage of disruptive change.