The Evolving Tech Job Market: Are We Shifting from Shortage to Surplus?

The Evolving Tech Job Market: Are We Shifting from Shortage to Surplus?

Welcome to the INPUT monthly newsletter, where we dive deeper into one of the topics covered on the Alteryx INPUT blog.??

Are we seeing signs that the tech job landscape is changing??

2024 started similarly to how 2023 ended: with layoffs in tech. Wayfair, Google, Amazon, Discord, and Duolingo have all made cuts since the new year started, continuing the trend of tech sector layoffs that plagued 2022 and 2023.?

Does this mean the landscape of tech employment is changing??

In December 2023, we published “Defining the Enterprise of the Future ;” we conducted interviews with 2,800 IT and technology leaders to gain insights into the future of enterprises. Among the most unexpected findings was the prediction of a talent surplus in both advanced and general technology sectors within the next three years.

The image shows two bar charts under the title "The Future of AI and Humans in the Enterprise: New Research" by Alteryx. The first bar chart is labeled "The general tech talent landscape will be characterized by a..." and shows a majority of 69% (Top 2) predicting a talent surplus, and a minority of 16% (Bottom 2) predicting a talent shortage. The second bar chart is labeled "The advanced tech talent landscape will be characterized by a..." and shows 62% (Top 2) predicting a talent surplus and 21% (Bottom 2) predicting a talent shortage. The bars are color-coded in shades of blue and have percentages for talent surplus in descending order (38%, 33%, 31%, 29%) and for talent shortage in ascending order (6%, 8%, 10%, 13%, 15%, 17%) across the charts. The dashed lines in green and red on the sides of each chart represent the top and bottom percentages respectively.
Figure 1 - Thinking about the next three years, what impact do you expect the following forces to have on the global business landscape? ?

While we can’t fully predict what the landscape will look like in 2026, these results show that respondents believe that demand for tech talent will lessen over the next three years.??

This contradicts other reports we have seen in the space that instead predict a skills gap in technology talent. Additionally, a report from O’Reilly found that a lack of skilled people was a reason why companies weren’t scaling generative AI use.??

 The image shows a horizontal bar chart titled "Factors holding back AI adoption," comparing the responses of AI nonusers and users. Each factor is listed on the Y-axis and includes "Identifying appropriate business use cases," "Legal concerns, risks, or compliance issues," "Company culture that doesn't yet recognize the need for AI," "Lack of skilled people," "Lack of a company policy on AI use," "Technical infrastructure challenges," "Lack of data or data quality issues," "Difficulty training a model on our data," "Workflow reproducibility," and "Not applicable." The X-axis represents a numerical scale from 0 to 35, likely indicating percentage or number of responses.  The bars in two shades of blue represent the responses from nonusers and users, with the darker shade presumably representing AI users. The longest bars, suggesting the most significant factors, are for "Identifying appropriate business use cases" and "Legal concerns, risks, or compliance issues," indicating these are the primary concerns among both users and nonusers. Other factors such as "Lack of skilled people" and "Technical infrastructure challenges" also show significant lengths, especially for nonusers. "Not applicable" has the shortest bars, suggesting that most respondents find the listed factors relevant to AI adoption challenges.
Figure 2: Factors holding back AI adoption, Generative AI In the Enterprise by M Loukides, 2023, O'Reilly Radar.

We were curious about the result ourselves and reached out to respondents who had predicted a talent surplus to learn more about their reasoning. Their responses included a shift in hiring practices towards skills-based rather than degree-based criteria, enhanced investment by governments in STEM education programs, a rise in digital literacy, and the commitment of companies to offer on-the-job re-skilling and training opportunities.?

Layoffs in the sector may have influenced the prediction as well, with companies like Expedia stating that they are experiencing a “surplus of top-tier tech talent in the market.”?

Finally, there’s some possibility that generative AI and other AI technologies will lead to surpluses in the sector. One respondent stated that they believed AI algorithms would be used to predict future skill needs, which would then guide the development of education programs as a reason for a tech talent surplus. A survey on generative AI that we conducted with board members showed that job displacement was the top risk of using generative AI within an organization – which could further contribute to a talent surplus.

 The image presents a bar graph titled "Risks of using generative AI within organization," with a key indicating the dark blue bars represent the total percentage of responses. The graph lists various risks associated with generative AI, each accompanied by a horizontal bar and a percentage value indicating the level of concern.  From top to bottom, the risks are as follows:  Job displacement: 49% Security: 44% Unaccountable processes: 42% Improper use: 38% Insufficient regulation: 36% Loss of intellectual property: 33% Economic impact: 27% Legal/reputational harm: 27% Copyright infringement: 24% Disruption: 20% Misinformation: 16% Fraud: 12% The bar lengths correspond to the percentage values, with job displacement being the highest concern at 49% and fraud being the lowest at 12%. The chart provides a visual representation of concerns organizations may have regarding the implementation of generative AI technologies.
Figure 3 - Which of the following are considered risks of using generative AI within your organization??

I reached out to Tom Davenport , author, and professor at Babson College, to get his reaction to the surplus results:?

?“These are the first numbers I have seen predicting a surplus of IT professionals. For years now, the IT market research firms have predicted a talent shortage in IT. But it is certainly true that there are many ways to get IT credentials today, and many companies have liberalized their policies on hiring people without college degrees. It may also be that generative AI — and automated code generation in particular — will produce a surplus. Perhaps another reason for the anticipated surplus is that citizen development has eased IT backlogs and many companies are seeing the value of having domain experts create their own programs, automations, and data analysis models.”???

While we’re not certain we’ll see a tech talent surplus in 3 years, predictions for 2024 have been on our minds. For this month’s newsletter roundup, enjoy some of our articles on 2024 and what we expect to see in the next year.?

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S SAIDHA MIYAN

Aspiring Corporate Director / Management Consultant / Corporate Leader

9 个月

Thanks for sharing, an informative-insightful article, Alteryx -"Leading Analytics Solutions Provider, helping organizations make sense of their data, automate workflows, and make data-driven decisions, and allows to offer multiple solutions under one vendor & one roof, to reduce the technical debts and drive further efficiencies within the organizations". Syed Awees, B.Com (Hons), ACCA Aspirant. Best wishes, to Dean Stoecker, Co-founde & Executive Chairman, Mark Anderson, CEO, and 'Team #Alteryx', for all your future endeavours, and to achieve, many more, milestones!

回复
Heather Ferguson

Director of Research & Thought Leadership @ CPA Ontario

9 个月

Thank you to Tom Davenport for answering my question for this newsletter!

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