Source page: McKinsey & Company
Commentary
Tech talent mismatch
Technology | Talent
September 12, 2024 – All this week, our daily charts will focus on technology trends that matter most across industries in 2024. We’ll explore tech and AI advancements, investments, talent demands, and more.
Tech is facing a wide skills gap, according to an analysis of 4.3 million job postings across 15 tech trends. There is a broad shortage of experienced talent throughout electrification and renewable-energy technologies and in other climate technology areas, senior partner Lareina Yee and coauthors report. There is also an undersupply of talent in specialized biotech areas, including gene therapy. More people are listing AI among their job skills, but companies should assess applicants’ proficiency in these areas, since competency levels can vary. Click through the interactive to see more.
To read the report, see “McKinsey Technology Trends Outlook 2024,” July 16, 2024.
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Visual form
Multi-panel skill-demand and talent-supply comparison.
Layout / body structure
The page uses a fifteen-slide read one slide at a time with Prev and Next controls, and each slide is split into two coordinated sections: required skills on one side and talent-to-demand availability on the other.
What is being compared
For each technology trend, the visual compares which skills appear most often in job postings and whether the available talent for those same skills is above or below demand.
Measurement system
The first half of each slide uses percentages of job postings requiring a given skill, while the second half uses a talent-to-demand ratio to show shortage versus relative abundance for the same skill set.
Visible structure inside the graphic
Each slide groups a short list of named skills inside one trend, with one panel showing the demand percentages and an adjacent panel showing the supply-versus-demand relationship, and the whole cycles through fifteen separate trend profiles.
Main takeaway from the visual
The visual makes the mismatch visible trend by trend: a few skills usually dominate demand, and many of the most in-demand skills sit in short supply rather than being matched by available talent.
Key standout values or extremes
The embedded image descriptions call out industrializing machine learning as a rare slide with no listed shortage despite heavy demand for Kubernetes at 68 percent, Docker at 45 percent, Python at 44 percent, and cloud computing at 42 percent; by contrast, generative AI centers on artificial intelligence at 34 percent and machine learning at 22 percent while still showing shortages in artificial intelligence, software engineering, and regulatory compliance.
Controls / sequence, when applicable
The reader moves through fifteen trend slides with the Prev and Next buttons, and each slide swaps in a different skill profile so the demand list and the shortage panel can be compared one trend at a time.
Companion media, when applicable
There is no separate companion audio or video; the chart is the full visual on this page.