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For more on how leaders must change their organizations to succeed with AI implementation, read the full research report:
sloanreview.mit.edu/ai-change
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Organizations implementing AI widely are more likely to
46%
81%
73%
36%
Offer training for AI skills development
Have advanced data management
Report mature cloud capabilities
Drive new technology from CEO/board level
Advanced AI practioners
lead the way
CIO
What kind of change?
Successfully implementing AI will require leaders to: + Drive more collaboration across functions.+ Rethink IT roadmaps, processes, and skills.+ Invest in workforce training for AI.
62% spent more on AI than the previous year.
AIAI will drive
substantial organizational
change
63% expect dramatic or significant change.
for ManagementCHANGES THE RULES
23% are implementing AI. 19% are piloting AI projects.13% are planning AI adoption.
55% are on the AI Journey
23% Implementing
AI.
19% Piloting
AI projects.
13% Planning
AI adoption.
Enthusiasm for implementing AI is growing
Here’s what we learned from our global survey of 2,280 leaders, managers, and contributors.
75% will increase collaboration between functions.
70% expect more cross-training across disciplines.
66% will do more organizing people into multidisciplinary teams.
AI requirements will drive CIO priorities
Implementing AI practice requires advancing:
How AI
+ Cloud/data center + Data management + Software development + Cybersecurity
(vs 8% overall)
(vs 18% overall)
(vs 19% overall)
(vs 22% overall)
