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As AI automates human hard skills humanity will matter more than ever

The half life of hard skills is now estimated to be five years which means we need to focus on being more human in order to succeed in the future.

Key takeaways

  • Technical and data skills that have been highly sought after for decades appear to be among the most exposed to advances in Artificial Intelligence (AI).
  • The number of students seeking four-year degrees in computer science and information technology shot up 41 percent between the spring of 2018 and the spring of 2023, while the number of humanities majors plummeted.
  • Over 70 percent of executives surveyed by LinkedIn last year said soft skills were more important to their organizations than highly technical AI skills.
Cite or link to this article

Griffin, M. (2024) 'As AI automates human hard skills humanity will matter more than ever', 311 Institute, 14 March. Available at: https://www.311institute.com/as-ai-automates-human-hard-skills-humanity-will-matter-more-than-ever/ (Accessed: 25 October 2026).

There have been just a handful of moments over the centuries when we have experienced a huge shift in the skills our economy values most. We are entering one such moment now. Technical and data skills that have been highly sought after for decades appear to be among the most exposed to advances in Artificial Intelligence (AI). But other skills, particularly the people skills that we have long undervalued as soft, will very likely remain the most durable. That is a hopeful sign that AI could usher in a world of work that is anchored more, not less, around human ability.

A moment like this compels us to think differently about how we are training our workers, especially the heavy premium we have placed on skills like coding and data analysis that continue to reshape the fields of higher education and worker training. The early signals of what AI can do should compel us to think differently about ourselves as a species. Our abilities to effectively communicate, develop empathy and think critically have allowed humans to collaborate, innovate and adapt for millenniums. Those skills are ones we all possess and can improve, yet they have never been properly valued in our economy or prioritized in our education and training. That needs to change.

The Future of Work, by keynote Matthew Griffin

In today’s knowledge economy, many students are focused on gaining technical skills because those skills are seen as the most competitive when it comes to getting a good job. And for good reason. For decades, we have viewed those jobs as future-proof, given the growth of technology companies and the fact that engineering majors land the highest-paying jobs.

The number of students seeking four-year degrees in computer science and information technology shot up 41 percent between the spring of 2018 and the spring of 2023, while the number of humanities majors plummeted. Workers who didn’t go to college and those who needed additional skills and wanted to take advantage of a lucrative job boom flocked to dozens of coding boot camps and online technical programs.

Now comes the realization of the power of Generative AI, with its vast capabilities in skills like writing, programming and translation. Microsoft, which owns LinkedIn, is a major investor in the technology. LinkedIn researchers recently looked at which skills any given job requires and then identified over 500 likely to be affected by generative AI technologies. They then estimated that 96 percent of a software engineer’s current skills, mainly proficiency in programming languages, can eventually be replicated by AI. Skills associated with jobs like legal associates and finance officers will also be highly exposed.

In fact, given the broad impact AI is set to have, it is quite likely to affect all of our work to some degree or another.

We believe there will be engineers in the future, but they will most likely spend less time coding and more time on tasks like collaboration and communication. We also believe that there will be new categories of jobs that emerge as a result of AI’s capabilities, just like we’ve seen in past moments of technological advancement, and that those jobs will probably be anchored increasingly around people skills.

Circling around this research is the big question emerging across so many conversations about AI and work, namely: What are our core capabilities as humans?

If we answer that question from a place of fear about what’s left for people in the age of AI, we can end up conceding a diminished view of human capability. Instead, it’s critical for us all to start from a place that imagines what’s possible for humans in the age of AI. When you do that, you find yourself focusing quickly on people skills that allow us to collaborate and innovate in ways technology can amplify but never replace. And you find yourself, whatever the role or career stage you’re in, with agency to better manage this moment of historic change.

Communication is already the most in-demand skill across jobs on LinkedIn today. Even experts in AI are observing that the skills we need to work well with AI systems, such as prompting, are similar to the skills we need to communicate and reason effectively with other people.

Over 70 percent of executives surveyed by LinkedIn last year said soft skills were more important to their organizations than highly technical AI skills. And a recent Jobs for the Future survey found that 78 percent of the 10 top-employing occupations classified uniquely human skills and tasks as “important” or “very important.” These are skills like building interpersonal relationships, negotiating between parties and guiding and motivating teams.

Now is the time for leaders, across sectors, to develop new ways for students to learn that are more directly, and more dynamically, tied to where our economy is going, not where it has been. Critically, that involves bringing the same level of rigor to training around people skills that we have brought to technical skills.

Colleges and universities have a critical role to play. Over the past few decades, we have seen a prioritization of science and engineering, often at the expense of the humanities. That calibration will need to be reconsidered.

Those not pursuing a four-year degree should look for those training providers that have long emphasized people skills and are invested in social capital development.

Employers will need to be educators not just around AI tools but also on people skills and people-to-people collaboration. Major employers like Walmart and American Airlines are already exploring ways to put AI in the hands of employees so they can spend less time on routine tasks and more time on personal engagement with customers.

Ultimately, for our society, this comes down to whether we believe in the potential of humans with as much conviction as we believe in the potential of AI. If we do, it is entirely possible to build a world of work that not only is more human but also is a place where all people are valued for the unique skills they have, enabling us to deliver new levels of human achievement across so many areas that affect all of our lives, from health care to transportation to education. Along the way, we could meaningfully increase equity in our economy, in part by addressing the persistent gender gap that exists when we undervalue skills that women bring to work at a higher percentage than men.

Almost anticipating this moment a few years ago, Minouche Shafik, who is now the president of Columbia University, said: “In the past, jobs were about muscles. Now they’re about brains, but in the future, they’ll be about the heart.”

The knowledge economy that we have lived in for decades emerged out of a goods economy that we lived in for millenniums, fuelled by agriculture and manufacturing. Today the knowledge economy is giving way to a relationship economy, in which people skills and social abilities are going to become even more core to success than ever before. That possibility is not just cause for new thinking when it comes to work force training. It is also cause for greater imagination when it comes to what is possible for us as humans not simply as individuals and organizations but as a species.

311 Intelligence

What this means for your organisation

Hard skills expire faster.

Technical skills now lose value within a few years as tools change. Hiring for narrow skills alone becomes risky. HR leaders should hire for adaptability and learning ability.

Soft skills become core skills.

Communication, empathy and critical thinking are hard for machines to replicate. They will define who adds value alongside AI. Training budgets should shift toward these capabilities.

Education must catch up.

Schools and universities still prize coding and data analysis above people skills. Employers will need to fill the gap. Firms should partner with educators to shape future curricula.

Three questions for your next leadership meeting

  1. Do we hire for adaptability or only for current technical skills?
  2. How much of our training budget builds people skills?
  3. Could we partner with educators to shape future skills?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

The half life of hard skills is now estimated to be five years which means we need to focus on being more human in order to succeed in the future.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. land the highest-paying jobs payscale.com
  2. Current term enrollment estimates nscresearchcenter.org
  3. Preparing the workforce for generative ai.pdf economicgraph.linkedin.com
  4. Future of work report ai august 2023.pdf economicgraph.linkedin.com
  5. Ai is coming for lawyers again nytimes.com
  6. Ai impact jobs nytimes.com
  7. W30389 nber.org
  8. most in-demand skill linkedin.com
  9. 70 percent of executives linkedin.com
  10. JFF AI Ready%20Workforce%20Report 103123 vF.pdf info.jff.org
  11. Evolving work people technology mind donna morris 1a1cc linkedin.com
  12. American airlines and microsoft partnership takes flight to create a smoother travel experience for customers and better technology tools for team members news.microsoft.com
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