The employment picture is changing, and artificial intelligence (AI) is now leading the charge, not only in creating new kinds of jobs, but in changing the scope of existing jobs, blending the technical with the uniquely human in new ways. The skills for smashing success in today’s job market, and for tomorrow, involve mastery of AI fusion.
At the same time that AI enthusiasts are at the precipice of doing it in six new and previously unimagined positions, it is also important not to forget that people are giving other technological skills a makeover, causing them to accelerate and become much more productive. In the business world, those who want to harness the power of AI have to be a mixture of technogeeks and people-friendly finesse.
Yusuf Tayob and Gill Haus note that jobs related to AI are growing in number, and that ‘many graduates … do not possess skills for integrating, designing and embedding AI sustainably’. AI will change the way we work. In the future, many routine or boring tasks will be handled by AI, and the skills needed to be successful in work life will require a blend of technical and human skills.
This combination of technical ability and interpersonal skills is becoming increasingly important as AI pervades the workplace: evidenced by leadership’s growing call for blending both soft skills and domain expertise, which are often lacking as AI tools show no ability to contextually understand information. Therefore, as Brian Lanehart has observed of emerging data-focused roles: ‘The requisite for these professionals is the inventive ability to use the latest AI tools and technologies.
It’s not enough to be technocentric: the new engineer must use AI-based tools to improve efficiency and quality Lanehart’s description of using AI to help with coding, testing and quality assurance helps to understand a shift towards using AI to improve the way that work is done rather than only doing tasks.
Where they used to just look for people who could code, now they want people who can use Copilot or AI to manage code to make it more effective and efficient. That’s not for every business, but in many ways that change reflects what’s happening more broadly. The data shows that a ‘technological pedigree’ – including a mix of business and technological skills and experience – is becoming more and more valuable.
Gill Haus at JPMorgan Chase puts it like this on the recruiting pages: ‘We continue to have critical skills gaps, requiring employees with more technical proficiency than ever before. This includes a mix of tech, digital and business skills, and more specifically – AI and generative AI technologies are driving this need. Our best candidates are curious, collaborative and customer-centric.’ So the bottom line is that soft skills remain just as important as technical skills when it comes to your success in the AI world.
According to authors such as Nada Sanders and John Wood, successful human-in-the-loop deployment of AI requires both an ingrained deep understanding of what AI can and cannot do, and a certain level of responsiveness and agility to learning. The contrast between deep work and shallow work – the latter being the kind that AI is increasingly capable of doing – signals a changing landscape of what workers are expected to do.
AI is not just a tool, it is a force that is changing the nature of work. To be successful going forward, you need technical know-how, soft skills and the ability to learn. AI brings together the very best of what we’ve learned about work, and reshapes it into something new – fostering a more dynamic, efficient and innovative workplace. As we enter this brave new world of blended work, the only way forward will increasingly be to master the knowledge of this fusion. And that goes for employers as well as employees.
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