Source page: McKinsey & Company

Commentary

Visual form

Multi-panel image sequence.

Layout / body structure

The page is arranged as a grid of small multiple panels beneath one legend wheel. Read the legend first, then move panel by panel across each row from left to right and top to bottom.

What is being compared

It compares how quickly different business functions are able to put generative AI capabilities into use after project launch, with one panel for each function from IT and software engineering through supply chain and manufacturing.

Measurement system

Each panel is measured as the percentage of respondents in four time buckets: less than 1 month, 1 to 4 months, 5 to 8 months, and more than 8 months. Color maps each quadrant to one of those timing ranges.

Visible structure inside the graphic

Every function is drawn as a four-quadrant circular panel with a numeric value printed inside or beside each quadrant. The top-right quadrant represents the 1-to-4-month bucket, and its repeated dominance across panels makes the overall pattern easy to scan.

Main takeaway from the visual

The visual shows that most functions reach deployment fastest in the 1-to-4-month window, while manufacturing and a few operational areas take longer and spread more weight into the slower buckets.

Key standout values or extremes

IT and software engineering each show 36 percent in the 1-to-4-month bucket, human resources shows 34 percent there, and manufacturing stands out for its slower profile with 34 percent in the 5-to-8-month bucket and 26 percent beyond 8 months.

Controls / sequence, when applicable

This is a static chart image with no in-chart controls to operate.

Companion media, when applicable

There is no separate companion audio or video; the chart image is the full visual on this page.


Gen AI's rapid uptake

Artificial Intelligence | Generative AI

June 28, 2024 – Generative AI (gen AI) technology develops quickly, and many organizations are wasting no time adopting its capabilities. Senior partner Alexander Sukharevsky and colleagues find that most companies incorporating gen AI can deploy the technology within one to four months. Strategies that involve highly customized or proprietary models, however, were 1.5 times more likely than off-the-shelf, publicly available models to take five months or more to implement.

Business functions are most often able to put their generative AI capabilities to use within one to four months.

To read the survey, see “The state of AI in early 2024: Gen AI adoption spikes and starts to generate value,” May 30, 2024.


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