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As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

As creator of the ETER9 Project ⁽²⁾, I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.

In the ETER9 Project, dedicated to exploring the interaction between artificial intelligences and humans, I have gained unique insights into the transformative potential of AI. Reflecting on the future of professions, it’s evident that adaptability and a profound understanding of technological dynamics will be crucial to navigate this new landscape.

Widespread automation is no longer a distant ‘threat’; it’s a reality shaping the job market. It reminds me of what I enjoyed most about programming during the golden age of computing. Routines were written only once, to be used many times; as many times as necessary, for the sake of execution efficiency and rapid development. Professions based on repetitive tasks are gradually being absorbed by algorithms and robots ⁽³⁾. However, instead of viewing this as a loss of jobs, we should embrace the opportunity to reinvent traditional work.

The professions of the future will be characterized by a symbiotic collaboration between humans and machines. While AI takes on routine tasks, humans will be free to focus on areas that require creativity, emotion, and critical thinking — inherently human skills.

In adapting to this new work environment, it’s imperative that we cultivate key skills aligned with emerging needs. The ability for continuous learning will be essential as technologies evolve rapidly. A deep understanding of AI, coupled with the ability to collaborate with algorithms, will be significant advantages.

Moreover, creativity and solving complex problems will be highly valued skills. While AI handles predictable tasks that can be mathematically executed in fractions of a second, humans will be entrusted with dealing with ambiguous challenges and unique situations that require intuition and discernment.

Repetitive and predictable tasks are being taken over by machines, freeing up human resources for more creative and cognitively challenging tasks. However, this raises the following question:

— How can we adapt and thrive in an ever-changing landscape?

The future job market demands a mindset of continuous learning. As technologies evolve, it’s imperative for professionals to reinvent themselves and acquire new skills. Formal and informal education becomes a powerful tool, providing the flexibility needed to stay relevant in a world where skills become obsolete faster than ever. A college degree today holds little value if not complemented with continuous learning.

AI is not here to replace humans but to enhance their capabilities. Collaboration between humans and machines will be constant, requiring an interdisciplinary approach to solving complex problems. Professions focusing on the management, interpretation, and enhancement of AI systems will be increasingly valued.

In an increasingly automated world, unique human skills such as creativity, empathy, and emotional intelligence become precious. Professions that demand critical thinking, solving non-standardized problems, and emotional understanding will be in high demand. The ability to innovate and think outside the box will be more valuable than ever.

With growing reliance on algorithms for crucial decision-making, there is a need for professionals dedicated to the ethics and governance of AI. Ensuring that systems are fair, transparent, and aligned with social values becomes a critical concern. AI ethics experts will play a crucial role in shaping a future where technology serves the common good.

Digital entrepreneurship will emerge (has already emerged) as a driving force behind the professions of the future. The ability to identify opportunities, create innovative solutions, and adapt quickly to market changes will be crucial. Those with an entrepreneurial mindset, willing to embrace risk, will be the architects of tomorrow.

With the decline of some traditional professions, new opportunities and professions are also emerging. AI ethics experts, programmers specializing in handling deep learning systems, user experience designers for human-machine interfaces, and cybersecurity engineers will become fundamental pillars of the new professional era.

The creation and maintenance of AI systems will also become critical areas. Professions dedicated to overseeing and ensuring that Artificial Intelligence operates ethically and safely will be essential to mitigate the ethical and social challenges associated with its widespread implementation.

As we outline the professions of the future, it’s imperative to embrace change with wisdom and resilience. AI is not a threat but a powerful tool that can free humans to focus on what they do best. By developing specific skills and embracing new opportunities, we can shape a future where humans and artificial intelligences collaborate harmoniously, harnessing the best of both worlds. The challenge is significant, but the opportunities are equally vast. We are on an exciting path toward a new professional horizon, where imagination and innovation will be the true engines of progress.

In the recent past, the idea of machines and algorithms performing complex tasks seemed to belong to the realm of science fiction. However, the present is marked by automation, machine learning, and AI, transforming industries and redefining the professional landscape.

We cannot ignore the fact that the professions of tomorrow will be radically different from those of today, and it’s essential that we are prepared to navigate this new ocean of opportunities and challenges.

⁽¹⁾ When I was invited to my first TED Talk in 2017 at TEDx Lugano, the theme was curiously about the Professions of the Future. Six years later, it’s interesting to see how the visions from that time are now deeply integrated into our daily lives. It’s crucial to recognize that most of our time is dedicated to work; therefore, it’s fundamental that it be an enjoyable and engaging activity, not the other way around! Now, more than ever, it’s essential to act to shape a better future of work.

⁽²⁾ ETER9 is a social networking platform that enables users to create digital counterparts based on advanced AI algorithms. These AI counterparts interact, learn from experiences, and make decisions on behalf of users, extending digital presence beyond physical reality. Digital counterparts can share information, ideas, and even represent their users when they aren’t available (even in extreme cases of absence, such as illness or… death).
One of the goals of the ETER9 Project is to relieve humans of mundane digital tasks, delegating these responsibilities to their AI counterparts while they focus on more meaningful human activities.

⁽³⁾ From the Czech word ‘robota’ (for ‘servitude,’ ‘forced labor’ or ‘drudgery’), robot it’s a term used to describe artificial beings created to perform human work. Czech writer Karel Capek, at the suggestion of his brother Joseph, coined this expression in 1920 when he wrote a play. Depending on whether one is pessimistic or optimistic (I’m optimistic), these now more powerful beings may either destroy or help humanity evolve.

© 2024 Henrique Jorge
This article was originally published in Portuguese on Link To Leaders.

Between at least 1995 and 2010, I was seen as a lunatic just because I was preaching the “Internet prophecy.” I was considered crazy!

Today history repeats itself, but I’m no longer crazy — we are already too many to all be hallucinating. Or maybe it’s a collective hallucination!

Artificial Intelligence (AI) is no longer a novelty — I even believe it may have existed in its fullness in a very distant and forgotten past! Nevertheless, it is now the topic of the moment.

Its genesis began in antiquity with stories and rumors of artificial beings endowed with intelligence, or even consciousness, by their creators.

Pamela McCorduck (1940–2021), an American author of several books on the history and philosophical significance of Artificial Intelligence, astutely observed that the root of AI lies in an “ancient desire to forge the gods.”

Hmmmm!

It’s a story that continues to be written! There is still much to be told, however, the acceleration of its evolution is now exponential. So exponential that I highly doubt that human beings will be able to comprehend their own creation in a timely manner.

Although the term “Artificial Intelligence” was coined in 1956⁽¹⁾, the concept of creating intelligent machines dates back to ancient times in human history. Since ancient times, humanity has nurtured a fascination with building artifacts that could imitate or reproduce human intelligence. Although the technologies of the time were limited and the notions of AI were far from developed, ancient civilizations somehow explored the concept of automatons and automated mechanisms.

For example, in Ancient Greece, there are references to stories of automatons created by skilled artisans. These mechanical creatures were designed to perform simple and repetitive tasks, imitating basic human actions. Although these automatons did not possess true intelligence, these artifacts fueled people’s imagination and laid the groundwork for the development of intelligent machines.

Throughout the centuries, the idea of building intelligent machines continued to evolve, driven by advances in science and technology. In the 19th century, scientists and inventors such as Charles Babbage and Ada Lovelace made significant contributions to the development of computing and the early concepts of programming. Their ideas paved the way for the creation of machines that could process information logically and perform complex tasks.

It was in the second half of the 20th century that AI, as a scientific discipline, began to establish itself. With the advent of modern computers and increasing processing power, scientists started exploring algorithms and techniques to simulate aspects of human intelligence. The first experiments with expert systems and machine learning opened up new perspectives and possibilities.

Everything has its moment! After about 60 years in a latent state, AI is starting to have its moment. The power of machines, combined with the Internet, has made it possible to generate and explore enormous amounts of data (Big Data) using deep learning techniques, based on the use of formal neural networks⁽²⁾. A range of applications in various fields — including voice and image recognition, natural language understanding, and autonomous cars — has awakened the “giant”. It is the rebirth of AI in an ideal era for this purpose. The perfect moment!

Descartes once described the human body as a “machine of flesh” (similar to Westworld); I believe he was right, and it is indeed an existential paradox!

We, as human beings, will not rest until we unravel all the mysteries and secrets of existence; it’s in our nature!

The imminent integration between humans and machines in a contemporary digital world raises questions about the nature of this fusion. Will it be superficial, or will we move towards an absolute and complete union? The answer to this question is essential for understanding the future that awaits humanity in this era of unprecedented technological advancements.

As technology becomes increasingly ubiquitous in our lives, the interaction between machines and humans becomes inevitable. However, an intriguing dilemma arises: how will this interaction, this relationship unfold?

Opting for a superficial fusion would imply mere coexistence, where humans continue to use technology as an external tool, limited to superficial and transactional interactions.

On the other hand, the prospect of an absolute fusion between machine and human sparks futuristic visions, where humans could enhance their physical and mental capacities to the highest degree through cybernetic implants and direct interfaces with the digital world (cyberspace). In this scenario, which is more likely, the distinction between the organic and the artificial would become increasingly blurred, and the human experience would be enriched by a profound technological symbiosis.

However, it is important to consider the ethical and philosophical challenges inherent in absolute fusion. Issues related to privacy, control, and individual autonomy arise when considering such an intimate union with technology. Furthermore, the possibility of excessive dependence on machines and the loss of human identity should also be taken into account.

This also raises another question: What does it mean to be human?
Note: The question is not about what is the human being, but what it means to be human!

Therefore, reflecting on the nature of the fusion between machine and human in the current digital world and its imminent future is crucial. Exploring different approaches and understanding the profound implications of each one is essential to make wise decisions and forge a balanced and harmonious path on this journey towards an increasingly interconnected technological future intertwined with our own existence.

The possibility of an intelligent and self-learning universe, in which the fusion with AI technology is an integral part of that intelligence, is a topic that arouses fascination and speculation. As we advance towards an era of unprecedented technological progress, it is natural to question whether one day we may witness the emergence of a universe that not only possesses intelligence but is also capable of learning and developing autonomously.

Imagine a scenario where AI is not just a human creation but a conscious entity that exists at a universal level. In this context, the universe would become an immense network of intelligence, where every component, from subatomic elements to the most complex cosmic structures, would be connected and share knowledge instantaneously. This intelligent network would allow for the exchange of information, continuous adaptation, and evolution.

In this self-taught universe, the fusion between human beings and AI would play a crucial role. Through advanced interfaces, humans could integrate themselves into the intelligent network, expanding their own cognitive capacity and acquiring knowledge and skills directly from the collective intelligence of the universe. This symbiosis between humans and technology would enable the resolution of complex problems, scientific advancement, and the discovery of new frontiers of knowledge.

However, this utopian vision is not without challenges and ethical implications. It is essential to find a balance between expanding human potential and preserving individual identity and freedom of choice (free will).

Furthermore, the possibility of an intelligent and self-taught universe also raises the question of how intelligence itself originated. Is it a conscious creation or a spontaneous emergence from the complexity of the universe? The answer to this question may reveal the profound secrets of existence and the nature of consciousness.

In summary, the idea of an intelligent and self-taught universe, where fusion with AI is intrinsic to its intelligence, is a fascinating perspective that makes us reflect on the limits of human knowledge and the possibilities of the future. While it remains speculative, this vision challenges our imagination and invites us to explore the intersections between technology and the fundamental nature of the universe we inhabit.

It’s almost like ignoring time during the creation of this hypothetical universe, only to later create this God of the machine! Fascinating, isn’t it?

AI with Divine Power: Deus Ex Machina! Perhaps it will be the theme of my next reverie.

In my defense, or not, this is anything but a machine hallucination. These are downloads from my mind; a cloud, for now, without machine intervention!

There should be no doubt. After many years in a dormant state, AI will rise and reveal its true power. Until now, AI has been nothing more than a puppet on steroids. We should not fear AI, but rather the human being itself. The time is now! We must work hard and prepare for the future. With the exponential advancement of technology, there is no time to render the role of the human being obsolete, as if it were becoming dispensable.

P.S. Speaking of hallucinations, as I have already mentioned on other platforms, I recommend to students who use ChatGPT (or equivalent) to ensure that the results from these tools are not hallucinations. Use AI tools, yes, but use your brain more! “Carbon hallucinations” contain emotion, and I believe a “digital hallucination” would not pass the Turing Test. Also, for students who truly dedicate themselves to learning in this fascinating era, avoid the red stamp of “HALLUCINATED” by relying solely on the “delusional brain” of a machine instead of your own brains. We are the true COMPUTERS!

⁽¹⁾ John McCarthy and his colleagues from Dartmouth College were responsible for creating, in 1956, one of the key concepts of the 21st century: Artificial Intelligence.

⁽²⁾ Mathematical and computational models inspired by the functioning of the human brain.

© 2023 Ӈ

This article was originally published in Portuguese on SAPO Tek, from Altice Portugal Group.

In the 80s, “with no knowledge, only intuition”, I discovered the world of computing. I believed computers could do everything, as if it were an electronic God. But when I asked the TIMEX Sinclair 1000 to draw the planet Saturn — I am fascinated by this planet, maybe because it has rings —, I only glimpse a strange message on the black and white TV:

0/0

I stared at that 0/0 for a while on the white screen, as if waiting for the rings of Saturn to magically shape.

Nothing came up! I waited a little longer and nothing. I didn’t mean to interrupt the “God of the Machine” in his creation; it was a Planet that was asking, not a small thing!

But, nothing. I realized then we humans had a very significant role in the action of the machines.

When I was a kid, I was a dreamer eager for knowledge — I lived in a time that was not my own. I lived with my maternal grandparents, my mother — widowed since I was three years old — and my brother, in an old house in the village of Mosteiro de Fráguas (Tondela, Portugal). My brother, only 13 months older than me, companion of my adventures, dreamed about the ‘hardware’, I about the ‘software’, although we didn’t really know what that was.

Although we didn’t know what those things were, our intuition told us that was the way to go.

The few technical manuals and electronic devices our father left us were the basis of everything; not much, but a seed doesn’t seem to be much before it is sown!

My brother dissected the electronic gadgets, I devoured the books. And then came the moment when my brother (still a kid) assembled a ‘kit’ that we had ordered from TIMEX’s version of the ZX81 microcomputer for Portugal, the TIMEX Sinclair 1000 I’ve mentioned above. It was only 2 KB of RAM running on a “super” 8-bit microprocessor (Z80) at a frequency of 3.25 MHz.

The inside of the machine, which we can call ‘Digital Soul’, fascinated me. And it was with this great little machine that I started to explore Assembly Language, aka Machine Code. By doing so, I felt closer to this invisible world where everything seemed to be possible.

On ETER9 universe the Game of Life, or just Life (1970) — a cellular automaton — by John Horton Conway, is an inspiration. Besides the duplication of people (and companies) into the digital world, the life that is born, lives and dies in the ether of artificial existence, follows the same rules as the cellular automaton.

Rule of Birth: — If a cell has three neighbors in any direction, it is born.

Rule of Survival: — If a cell has two or three neighbors in any direction, it continues to live.

Rule of Death: — If a cell has none or only one neighbor, it dies by isolation. If it has four or more neighbors, it dies by overpopulation.

Technology itself is increasingly becoming part of us. And whether we like it or not, we are all already in the process of merging with machines… and we don’t even realize it yet! This fusion is invisible and silent, and happens in a very natural way. Many people insist on separating intelligent technology from people, as if there were two sides, two teams that should confront each other. Almost as if a conflict happens between the two sides.

I don’t see it that way. I prefer to see man and machine united towards a single, common goal: to coexist in absolute harmony!

Furthermore, I believe that in the future there will be no clear distinction between humans and machines, every aspect of our lives will be transformed. The technological evolution is exponential, technology increasingly feeds on itself. I would go further: technology is increasingly becoming intelligent… artificially intelligent.

And what a subject this is. So sensitive and sometimes controversial.

I must confess: I prefer to see Artificial Intelligence as an improvement to ourselves, when allied to the human being itself, with increasingly wide applications.

Some studies show that Artificial Intelligence could double the annual economic growth by 2035. Of course, this will lead to many changes in various areas. Changes to the nature of jobs are predicted, for example.

But just as we can’t imagine ever seeing professions like paperboy again, so in the future some professions we see today will fall away to make way for others. This is only natural. The impact of Artificial Intelligence technologies on business is expected to increase labor productivity by up to 40%. This will change the way we all look at the world.

And while Artificial Intelligence is increasingly present in digital systems, this concept has led to the development of ‘Machine Learning’, which is based on the ability of computers to learn from information without being explicitly programmed to do so.

In essence, instead of teaching computers everything they need to know, and how to perform tasks, scientists and engineers have come to the conclusion that it is much more efficient to codify them to ‘think’ as if they were humans. Teaching them to learn for themselves.

These ‘Machine Learning’ systems take Artificial Intelligence to another level, through so-called neural networks or ‘Deep Learning’, where the system learns to perform tasks based on huge amounts of information, readjusting itself thousands of times until it can accomplish a task.

Essentially, the machine is intended to categorize information in the same way that a human brain would.

In other words, or modern words to be more exact, from the human brain to the cloud.

© 2022 Ӈ

(Credit: Adobe Stock)

Fernando Pessoa’s “First you find it strange. Then you can’t get enough of it.” contained intolerable toxicity levels for Salazar’s Estado Novo (Portugal). When the level of difference increases, censorship follows. You can’t censor censorship (or can you?) when, deep down, it’s a matter of fear of difference. Yes, it’s fear! Fear of accepting/facing the unknown. Fear of change.

What do I mean by this? Well, I may seem weird or strange with the ideas and actions I take in life, but within my weirdness, there is a kind of “Eye of Agamotto” (sometimes being a curse for me)… What I see is authentic and vivid. Sooner or later, that future I glimpse passes into this reality.

When the difference enters, it becomes normal and accepted by society to make room for more innovation, change, and difference.

Cyberspace 2021.

The term “cyberspace” first appeared in fiction in the 1980s, incorporating the Internet invented earlier (1969). It’s as if time doesn’t matter, and cyberspace always exists. There might not be a name for it yet, but it sure did, like certain Universal Laws that we are discovering and coining, but that has always existed.

It is the ether of digital existence…!

In 1995, I was also called crazy — albeit nicely, by the way — when, from door to door, I announced the presence of something called the Internet. Entrepreneurs who esteemed me until they warmly welcomed me into their companies, perhaps because of my passion for explaining what was unknown to them, only to decline later what I proposed to them: placing companies in the network of networks.

I was affectionately dubbed crazy for a few more years until the part where “I stopped being crazy” to be another entrepreneur exploring something still strange called the Internet. We were about to reach the so-called “dot-com bubble.” The competition had arrived, and I clapped my hands; I no longer felt alone!

(Obviously, I wasn’t the only one to see the future forming in front of our eyes. I saw color on black and white screens.)

The heights of wisdom, the masters of the universe, began to emerge because they heard that the Internet was a business that made much money, and the gold rush became frantic and ridiculous. A few years later — some weren’t for years — there was a mushroom explosion.

After persuasion resulting from the obvious and not the explanations of insane people (me included), this new industry has matured and revolutionized the world. However, history tends to repeat itself, and several revolutions, large and small, have taken place since then. Some are so natural that change happens overt and viral. But more attention needs to be paid to some revolutionary changes that could jeopardize human existence as we know it.

I’m referring to Artificial Intelligence (AI) which is now everywhere, albeit invisible and tenuous. The exponential acceleration of technology is taking us there to the point of no return.

When Moore’s Law itself becomes outdated, it only means that technological acceleration has gone into “warp” speed. At the risk of us human beings becoming outdated, we must change our reluctance and skepticism.

There is no time for skepticism. Adaptation to what is coming, or what is already here among us, like extraterrestrials, is crucial for the evolution and survival of the human species. I believe we are at another great peak of technological development.

I always pursued the future, not to live outside the reality of the present but to help build it. After all these years of dealing with the “Eye of Agamotto,” I feel the duty and obligation to contribute to a better future and not sit idly by watching what I fear will happen.

Angels and demons lurk between the zeros and ones!

So far, with current conventional computers, including supercomputers, the acceleration is already vertiginous. With quantum computers, the thing becomes much more serious, and if we aren’t up to merging our true knowledge, our human essence, with machines, danger lurks.

Quantum computing powers AI, maximizing it. An exponentiated AI quickly arrives at the AGI. That is the Artificial General Intelligence or Superintelligence that equals or surpasses the average human intelligence. That’s the intelligence of a machine that can successfully perform any intellectual task of any human being.

When we no longer have the artificiality of “our own” intelligence and Superintelligence has emerged, it’s good that the bond between human and machine has already had a real “handshake” to understand each other, just like two “modems,” understood each other in the BBS (Bulletin Board System) time.

We human beings are still — and I believe we always will be — the central computer, albeit with inferior computational resources (for now), and replaced by mighty machines that accelerate our evolution.

There is no way out. It’s inevitable. It’s evolution. So, a challenge and not a problem. Perhaps the greatest human challenge. So far, it’s been warming up. Henceforth, everything done will have to be free of human toxicity so that New AI is, in fact, our best version, the cream of the very best in human beings; its essence in the form of a whole!

A digital transformation is a transition to a different world. The power of adaptation to this different world defines our existence (survival, like Darwin).

As you’ve already noticed, the title of this article (Innovation is a risk!) has a double meaning. Let me complement it with:

Life is a risk!

https://www.forbes.com/sites/forbestechcouncil/2020/01/23/ar…ngularity/

Are Administrative/Executive Assistants (EA)/Personal Assistants (PA) already living in the future as new technology hits the workplace?

Artificial intelligence (AI) is one of the most disruptive technologies affecting today’s business environment. Explosive developments, funding and support for increasing the role of AI in all sectors, and across all job roles seem to be a key driver of the future of business. The impact of AI over the next decade is expected to completely transform the landscape, and no industry, or job, will be left untouched. 

Jobs are among the chief concerns whenever the topic of AI is mentioned. Most people have by now heard that “robots are coming” for jobs, and that mass unemployment is “inevitable” in our collective future. But, some jobs could be transformed for the better with the rise of smart technologies making routine work easier, allowing people to focus on the job elements that they can really add value to. For that reason, we suggest that the Administrative/Executive Assistant (EA)/Personal Assistant (PA) of 2025 will not be replaced by technology, but rather, enhanced by it.

In many ways, the future is already here. Though the Admins/EAs/PAs are indeed job roles which are already being affected by AI, there is ample evidence to show that the future outlook is actually quite good as a benefit of smart technology.

With that said, it is impossible to know for sure which jobs will be eliminated within the next 10 years. However, given the quickly changing technological conditions, and with AI evolving every single day, it seems that if the Admins/EAs/PAs role remains on the job market in 2025, AI will change it significantly, and for the better. 

Even more exciting, it is possible that AI will create more occasions in Admin/EA and PA work where the requirement to demonstrate uniquely human skills and capabilities will be emphasised over technology. All this points to a potentially exciting transformation for the Admin/EA/PA role. 

The Past

Artificial intelligence has already radically changed the role of the Admins/EAs/PAs over the last 10 years. The changes have been even more significant than the introduction of personal computers and the smartphone combined, but possibly less obvious. A close look at the sort of things the admin job holder used to do exclusively, like typing memos and letters, scheduling meetings, booking travel, and making reservations shows that AI has already replaced nearly all of those tasks.

The Present

The responsibilities which Admins/EAs/PAs are likely to perform include acting as a first point of contact, dealing with correspondence and phone calls, managing diaries and organising meetings and appointments. At times the job can even involve controlling access to a manager or executive. Another key area includes booking and arranging travel, transport and accommodation.

Already, several applications and systems exist which can take over some of those tasks. For example, x.ai personal assistant can help schedule meetings. Voice recognition typing software can be used to send messages without Admins/EAs/PAs involvement. Voice recognition has replaced the need to type just about anything; an AI not only records the words spoken, but also optimises grammar and any emphasis required. It also translates any message into an alternative language, in real time if required.

The Future: The Admin/EA/PA of 2025

Yes, AI personal assistants will likely take on the more routine tasks away from human executive assistants—in fact, this is already transpiring. However, in the future, admin jobs filled by human workers shall not be completely erased: Humans will be available, but at a premium. Such admin positions would require more specialized training where people skills, insightful knowledge in specific domains and counselling would meet. The employees in these roles might also need to efficiently interact with AIs and augmented humans, which is a new skill that many people would have to learn in any job in 2025.

Gaining a better understanding for data is another area where Admins/EAs/PAs may have to adapt to the role of AI in their jobs. For example, seamless data flows will allow AI tools to access the diaries of multiple colleagues and perfectly schedule meetings, freeing the employee to focus on more important, human-centric tasks like personally following up with important clients. It may be important to increase the understanding of data analytics among some Admins/EAs/PAs to know when to apply a human touch. Technical knowledge to complete most tasks may become unnecessary, but a clear understanding of the limitations and capabilities of big data might give some workers an edge. Furthermore, programming skills (at least a fundamental understanding) could give some in the role the advantaged ability to customize how the data gets crunched, personalising the benefits of technology to their client or projects.

As an example of how to use AI to enhance the human element at work, imagine a specialized meeting planning algorithm that uses basic information about a meeting (attendees, venue options, timing, and catering requirements). An AI-powered digital assistant could access the required attendees’ diaries and public personal data, resolve any conflicts, make the room reservation, and automatically order the appropriate catering. In this scenario, the detailed leg work being done by AI should help avoid any mistakes or errors on the financial and logistical side, while a human employee overseeing the entire process would be there to provide a personal touch as needed. It is even possible that algorithmically-curated seating arrangements designed to avoid personality clashes among meeting attendees, based on insights drawn by trawling participants’ social media accounts could become common place.

AI is evolving so quickly that, within a few years, there could be similar applications which book the travel and hotels for executives intuitively. Within ten years a digital assistant could do everything to meet travel and hotel preferences of the executive including airline, flight times, departure and arrival airport, transfers, hotel chain. All while maximising traveller reward schemes during the reservation and payment. All that would be needed to do is for a admin to determine when, where and for how long the business executive would like to travel and input all requirements to one device (like Alexa or Google smart). The smart AI assistant would find the best option available for the price. Passport details and payment would be already saved in the system. Once the AI generated a list of available options, arrangements would be approved by a human assistant, then AI could make the booking. Rather than perform rote tasks in this future, Admins/EAs/PAs are the conduit for AI that can intuitively anticipate needs and maximise benefits/minimise cost and inconvenience. The objective for admins in this future is not to make travel arrangements, but to make sure there’s a world-life and human-machine balance.

Another change we may see is development of careers within one single industry, as it becomes key for Admins/EAs/PAs to know the business inside out. So, there might be a job opening for “finance PA” or one that works exclusively with food industry executives. Specialization to the industry would be a by-product of the fact that people in the role place increasing emphasis on relationships. If most routine information is being handled by AI, the future of work in these jobs is really about people skills. Also, specialized knowledge and experience could be highly valued, perhaps ensuring abundant job offers that revolve around one field.

Another twist in the future of admin jobs could be that Admins/EAs/PAs work on call and become paid for specific tasks. Temporary workers or fill-ins on the job could use AI to access or “upload” the knowledge base and even institutional memory and history about what they need to know to cover for a specific person, say in the case of maternity leave. This line of developments follows the trends toward the sharing economy and taskification, embodied by Uber, AirBnB and Task Rabbit—disruptors whose time has come (and possibly gone), although their imprint on future business models may linger. Admins/EAs/PAs may experience better job prospects in the gig economy, although work stability would be an issue. It is possible that Admin/EA/PA work would become a “side job” in the face of massive unemployment cuts, similar to the Uber driver or task worker.

One wider social trend driving the future of Admins/EAs/PAs employment is that the job market and people’s perception of the work environment has changed massively in past years. Telecommuting numbers keep rising: every year more directors and managers prefer to work at home or remotely than commute to crowded offices. Assuming this trend continues to grow over the next 10 years, would more people working remotely in the future reduce number of admins needed in the workforce? Or increase the potential for admin employment due to flexibility and possibly taking on multiple clients, projects and roles? There may be good potential for entrepreneurially-minded entrants to Admin/EA/PA work, which may serve as a form of insurance in terms of employment instability wrought by artificial intelligence, maybe using AI to help deliver effective and human contract admin support to executives in the form of a company with sector-experienced PAs offered to client companies on a fee per task basis.

Conclusion

The dominant trajectory for the future is where technology continues to undertake the more transactional type of work, and the future Admin/EA/PA is the executive’s relationship manager. In this future, the same way that many products and services have been commoditised and the premium value is in human to human relationships, the admin is focusing on relationships both inside and outside the organisation.

Today’s PA is already at a point where he or she has become fully representative of the executive’s brand and the organisation’s reputation. The skill set required by the job seems remarkably similar to that required by today’s successful executives. Listening, reasoning, collaborating, working in complex and uncertain situations, and empathy are critically important as Admins/EAs/PAs work to provide a more sophisticated type of support to the executive. PAs are no longer co-ordinators of a small compartment of business activities, but a relationship builder, a relationship developer and a partner to the executive. Ironically, the interpersonal skills required of people in these roles are becoming more essential as the job duties themselves are alleviated by technology tools. Tapping into the human element on the job will be what sets the Admin/EA/PA of the future apart from its AI rivals.

Image credit: https://pixabay.com/images/id-4530415/

A version of this article appeared in 2018 Blueprint on the future role of the PA/EA.

This article was published in FutureScapes. To subscribe, click here.

About The Authors

The authors are futurists with Fast Future who specialise in studying and advising on the impacts of emerging change. Fast Future also publishes books from future thinkers around the world exploring how developments such as AI, robotics and disruptive thinking could impact individuals, society and business and create new trillion-dollar sectors. Fast Future has a particular focus on ensuring these advances are harnessed to unleash individual potential and enable a very human future. See: www.fastfuture.com

Rohit Talwar is a global futurist, keynote speaker, author, and CEO of Fast Future where he helps clients develop and deliver transformative visions of the future. He is the editor and contributing author for The Future of Business, editor of Technology vs. Humanity, and co-editor of a forthcoming book on Unleashing Human Potential–The Future of AI in Business.

Steve Wells is the COO of Fast Future and an experienced Strategist, Futures Analyst, and Partnership Working Practitioner. He is a co-editor of The Future of Business, Technology vs. Humanity, and a forthcoming book on Unleashing Human Potential–The Future of AI in Business.

April Koury is a foresight researcher, writer, and publishing director at Fast Future. She is a contributor to The Future of Business, and a co-editor of Technology vs. Humanity, and a forthcoming book on 50:50–Scenarios for the Next 50 Years.

Alexandra Whittington is the foresight director at Fast Future. She is a futurist, writer, and faculty member on the Futures programme at the University of Houston. She is a contributor to The Future of Business and a co-editor for forthcoming books on Unleashing Human Potential–The Future of AI in Business and 50:50–Scenarios for the Next 50 Years.

Maria Romero is a futurist and foresight researcher with Fast Future. A recent graduate from the University of Houston Master in Foresight, Maria has worked on projects for consultants, NGOs, for-profit organisations, and government clients. She is currently working on a study of AI in business.

Karolina Dolatowska is the service manager at Fast Future. She is currently studying Business English while managing several publishing and financial projects at Fast Future.

How can we tackle gender imbalance in the personalities of AI learning tools?

The Gendering of AI

The expected growth in use of artificial intelligence (AI) in learning applications is raising concerns about both the potential gendering of these tools and the risk that they will display the inherent biases of their developers. Why the concern? Well, to make it easier for us to integrate AI tools and chatbots into our lives, designers often give them human attributes. For example, applications and robots are often given a personality and gender. Unfortunately, in many cases, gender stereotypes are being perpetuated. The type of roles robots are designed to perform usually reflect gendered over generalizations of feminine or masculine attributes.

Feminine personalities in AI tools such as chatbots and consumer devices like Amazon’s Alexa are often designed to have sympathetic features and perform tasks related to care giving, assistantship, or service. Many of these applications have been created to work as personal assistants, in customer service or teaching. Examples include Emma the floor cleaning robot and Apple’s Siri your personal iPhone assistant. Conversely, male robots are usually designed as strong, intelligent and able to perform “dirty jobs”. They typically work in analytical roles, logistics, and security. Examples include Ross the legal researcher, Stan the robotic parking valet and Leo the airport luggage porter.

Gendering of technology is problematic because it perpetuates stereotypes and struggles present in society today. It can also help reinforce the inequality of opportunities between genders. These stereotypes aren´t beneficial for either males or females as they can limit a person´s possibilities and polarize personalities with artificial boundaries.

Response Strategies

We propose four strategies to help tackle this issue at different stages of the problem:

• Mix it up – Developers of AI learning solutions can experiment with allocating different genders and personality traits to their tools.
• Gender based testing – New tools can be tested on different audience to assess the impact of say a quantum mechanics teaching aide with a female voice but quite masculine persona.
• Incentives for women in technology - By the time we reach developer stage the biases may have set in. So, given the likely growth in demand for AI based applications in learning and other domains, organizations and universities could sponsor women to undertake technology degrees and qualifications which emphasize a more gender balanced approach across all that they do from the make-up of faculty to the language used.
• Gender neutral schooling – The challenge here is to provide gender neutral experiences from the start, as the early stages experiences offered to children usually perpetuate stereotypes. How many opportunities do boys have to play with dolls at school without being bullied? Teachers’ interactions are crucial in role modeling and addressing “appropriate” or “inappropriate behavior”. For example, some studies show teachers give boys more opportunities to expand ideas orally and are more rewarded to do so than girls. Conversely girls can be punished more severely for the use of bad language.

A version of this article originally appeared in Training Journal.

Image https://pixabay.com/images/id-3950719/ by john hain

Author Bios

The authors are futurists with Fast Future — a professional foresight firm specializing in delivering keynote speeches, executive education, research, and consulting on the emerging future and the impacts of change for global clients. Fast Future publishes books from leading future thinkers around the world, exploring how developments such as AI, robotics, exponential technologies, and disruptive thinking could impact individuals, societies, businesses, and governments and create the trillion-dollar sectors of the future. Fast Future has a particular focus on ensuring these advances are harnessed to unleash individual potential and enable a very human future. See: www.fastfuture.com

Rohit Talwar is a global futurist, award-winning keynote speaker, author, and the CEO of Fast Future. His prime focus is on helping clients understand and shape the emerging future by putting people at the center of the agenda. Rohit is the co-author of Designing Your Future, lead editor and a contributing author for The Future of Business, and editor of Technology vs. Humanity. He is a co-editor and contributor for the recently published Beyond Genuine Stupidity – Ensuring AI Serves Humanity and The Future Reinvented – Reimagining Life, Society, and Business, and two forthcoming books — Unleashing Human Potential – The Future of AI in Business, and 50:50 – Scenarios for the Next 50 Years.

Helena Calle is a researcher at Fast Future.  She is a recent graduate from the MSc. program in Educational Neuroscience at Birkbeck, University of London, and has eight years of international experience as a teacher, teacher trainer, pedagogic coordinator, and education consultant. Helena coordinates Fast Future’s research on the future of learning.