Leadership in the Age of AI

Growing reliance on AI will not likely result in any of the three most common views of how AI will affect our future. Each view is founded on assumptions that fail to consider all the realities of AI. That leaves us, however, with an important question as we plan our company’s – and our own – future in an increasingly AI-enabled world: “What will that world look like?” AI’s economic impact The effect AI will have on the economy is massive. Such...

Ask people on the street how much AI affects their lives, and most would probably answer that it doesn’t affect them right now. Some might say that it’s pure science fiction. Others might say that it may affect our future but isn’t used in our world today. Some might correctly identify a few ways it’s used in modern technology, such as voice-powered personal assistants like Siri, Alexa and Cortana. But most would be surprised to find out how widely...

Exactly ten years ago, on July 3, 2015, we published the first version of Future of Leadership in the Age of AI. At that time, most discussions about artificial intelligence revolved around automating blue-collar jobs and routine manual tasks. Our contrarian view – based on hands-on experience implementing early AI systems in a large organization – was that AI would impact knowledge work even more profoundly. We envisioned AI evolving into super-smart pattern recognition and prediction machines, capable of augmenting or performing many cognitive tasks traditionally done by white-collar professionals. In other words, AI wouldn’t stop at the factory floor; it would move up the org chart into offices and boardrooms. This perspective was unusual then, but it has since been proven correct. In fact, as one early article presciently noted, AI’s effect on the workplace “will not be limited merely to repetitive, production line-type jobs” and is “increasingly entering the realm of highly trained knowledge workers”. We even argued that managers and executives would eventually work alongside AI, and that’s exactly the world we now see around us. (And have even published a comic on this topic at Working With AI).

Where AI, robots, IoT and the so-called Fourth Industrial Revolution are taking us, and how we should prepare for it are some of the hottest topics being discussed today. Perhaps the most striking thing about these discussions is how different people’s conclusions are. Some picture a utopia where machines do all work, where all people receive a universal basic income from the revenues machines generate and where, being freed from a need to work for wages, all people devote their...

In my previous post I argued that if Canada wants to succeed with its AI-focused innovation agenda, it should also be at the forefront of 5G innovation and development. Canada could get ahead in the global 5G race not by being the first to 5G, but by being the first to roll out 5G in the right way - addressing cybersecurity, linking development of AI and 5G, addressing regulatory and policy prerequisites, etc. Canada could leap ahead in development of...

If you’ve read the many predictions about the future of AI, you’ve likely found them to be wildly different. They range from AI spelling doom for humanity, to AI ushering in Golden Age of peace, harmony and culture, to AI producing barely a blip on society’s path toward ever-greater technological achievement. Those three views – dystopian, utopian and organic – present issues we need to consider as we move deeper toward an AI-integrated future. Yet they also contain exaggerations and...

In the summer of 1956, a small gathering of researchers and scientists at Dartmouth College, a small yet prestigious Ivy League school in Hanover, New Hampshire, ignited a spark that would forever change the course of human history. This historic event, known as the Dartmouth Workshop, is widely regarded as the birthplace of artificial intelligence (AI) and marked the inception of a new field of study that has since revolutionized countless aspects of our lives. Origins of the Dartmouth Workshop The...

In 1956, at a workshop on the campus of Dartmouth College, in Hanover, New Hampshire, the field of artificial intelligence (AI) was born. Attendants were buoyant. MIT cognitive scientist Marvin Minsky was quoted as saying, "Within a generation  the problem of creating 'artificial intelligence' will substantially be solved." This prediction turned out to be over zealous, but Minsky and his colleagues believed it wholeheartedly. What, then, is different today? What makes the current dialogue about AI more relevant and believable?...

Canada has been investing in machine learning and artificial intelligence (AI) for longer than most of the industrialized world. Dr. Geoff Hinton of Google helped ignite the field of graphics processing unit (GPU) deep learning at the University of Toronto. Then he became chief scientific advisor to the Vector Institute, which in collaboration with the University, aims to produce the largest number of deep learning AI graduates and innovators globally. Meanwhile, Montreal, Quebec prides itself as the birthplace of...

Recent events have confirmed that the cyber realm can be used to disrupt democracies as surely as it can destabilize dictatorships. Weaponization of information and malicious dissemination through social media pushes citizens into polarized echo chambers and pull at the social fabric of a country. Present technologies enhanced by current and upcoming Artificial Intelligence (AI) capabilities, could greatly exacerbate disinformation and other cyber threats to democracy. Robert Kagan in his recent Post essay, “The strongmen strike back,” insightfully states: "What...

Artificial Intelligence (AI) is becoming ever more important, and not just in automating repetitive, manual labor jobs. Increasingly, it also enters the realm of highly trained knowledge workers. Systems like IBM Watson augment the expertise of tax preparers, lawyers, doctors and many other highly trained professionals. Corporate executives use AI’s ability to gather, analyze and run extensive simulations on data to help them make better-informed decisions. The applications for AI appear almost unlimited. The implications are clear. AI will reshape not...

If you've ever been to an expensive restaurant and ordered a familiar dish like, say, lasagna, but received a plate with five different elements arranged in a way that does not at all resemble what you know as lasagna, then you have probably tasted deconstructionism. This approach to cuisine aims to challenge the way our brain makes associations, to break existing patterns of interpretation and, in so doing, to release unrealized potential. If the different elements work together harmoniously, it...

Canada’s rankings in innovation has lagged that of other peer nations for decades despite government efforts to address this issue. Considering its success in developing research programs at its universities, its mediocre rankings overall in technology development is disappointing. Those programs alone have not been enough to translate into entrepreneurial innovation. A 2017 C.D. Howe Institute study points out that, even though Canadians have been at the forefront of breakthroughs in emerging technologies, in many cases, the chief beneficiaries of...

It’s almost impossible to turn around nowadays without finding another article predicting the impact that AI and other emerging technologies – the so-called Fourth Industrial Revolution – will have on our future. It’s one of the hottest topics being discussed by forward-thinking business leaders today. And well it should be. The fact that we are on the cusp of dramatic change in how business, workplaces and our very lives are carried out is inescapable. Some writers picture a utopia where...

Today’s business leaders face a conundrum. Artificial Intelligence (AI) unquestionably will play an enormous role in the future of their organizations and the business environment in which they operate, but what effects will it have? Prognosticators have wildly different visions of the future it will create, ranging from causing the extinction of humanity to ushering in a Golden Age in which machines provide all humanity’s needs and free us to focus on altruistic service to one another and the...

If you’ve read the many predictions about the future of AI, you’ve likely found them to be wildly different. They range from AI spelling doom for humanity, to AI ushering in Golden Age of peace, harmony and culture, to AI producing barely a blip on society’s path toward ever-greater technological achievement. Those three views – dystopian, utopian and organic – present issues we need to consider as we move deeper toward an AI-integrated future. Yet they also contain exaggerations and...

In 2013, George F. Young and colleagues completed a fascinating study into the science behind starling murmurations. These breathtaking displays of thousands – sometimes hundreds of thousands – of birds in a single flock swooping and diving around each other, look from a distance like a single organism organically shape-shifting before the viewer’s eyes. In their research article, Young et al reference the starling’s remarkable ability to “maintain cohesion as a group in highly uncertain environments and with limited, noisy...

Cybersecurity strategies need to change in order to address the new issues that Machine Learning (ML) and Artificial Intelligence (AI) bring into the equation. Although those issues have not yet reached crisis stage, signs are clear that they will need to be addressed – and soon – if cyberattackers are to be prevented from obtaining a decided advantage in the continuing arms race between hackers and those who keep organizations’ systems secure. ML and AI can magnify existing vulnerabilities and...

Whether AI and the technologies it enables will reach their full potential depends on the workforce that will work alongside them. Yet the skills that that workforce needs to do this are in short supply. Rather than debating what to do about massive job losses from AI, discussion should focus on how best to prepare workers for the types of jobs that they will need to fill. A shifting job picture A 2017 McKinsey’s report says that approximately half of all...

Leaders must adapt to the changing culture as young workers enter the job market with expectations strikingly different from the ones that leaders traditionally have encountered. These changes within their own business culture are not, though, the only culture changes to which leaders will have to adapt. AI and other emerging technologies are accelerating the process of globalization. For example, as 3D printers become more prevalent, manufacturers will sell designs rather than finished products. Breaking into new markets won’t be...

AI’s effect on the workplace will not be limited merely to repetitive, production line-type jobs. Increasingly, it also enters the realm of highly trained knowledge workers. It will also affect those who manage workers currently employed in such jobs. AI likely will reshape jobs all the way up to the C-level offices. That doesn’t mean, though, that managers and executives will no longer be needed. They simply need to prepare themselves for shifts in their work responsibilities. In my latest...

For the Big 4, this moment represents not just a challenge but an existential threat. Their traditional models, deeply rooted in hierarchical structures and slow-moving and risk-averse processes, leave them especially vulnerable to the pace of AI-driven change. If these firms cannot embrace AI and adapt quickly enough to meet the demands of a flipped industry—redefining their value proposition, overhauling their delivery models, and rethinking their leadership structures—then perhaps their time has passed.

To remain competitive, organizations will increasingly have to innovate. As the speed of innovation increases, disrupting whole sectors, competitive intelligence, market intelligence even a bit of futurism will become essential skills. Leaders will have to stay informed not only of macro trends in their industry but also in technology in general. And they will have to do more than merely report their findings to appropriate people higher in the organization. AI can easily do that. Instead, they will also have...

Technologies that could change the world have been a popular topic for the past half century. True, the predictions that everyone would drive flying cars have not materialized, but what has materialized would astound those who offered such predictions 50 years ago. And where emerging technologies are headed is even more stunning. Seven technologies, in my opinion, are poised for explosive growth in 2019. And what they can accomplish this year and beyond is not even the most significant disruption...