AI Adoption in the Social Sector 2026

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Propel es una aceleradora para ONGs en América Latina mediante tecnología, conexiones y financiamiento para el impacto social

Discover how AI drives social impact

Explore how 18 organizations in the Impact Accelerator are using AI to enhance their workflows and reach more people.

AI Adoption
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

65% nonprofits faced difficulties implementing AI.

6%
59%
29%
6%
Very difficult
Difficult
Neutral
Easy
Very easy
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

71% of those who persisted, report improvements in their productivity.

23%
6%
71%
None
Slightly
Moderate
Considerably
Significantly
Usage barriers
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

Adoption is not held back by a lack of digital tools, but by a lack of skills and an organizational culture that isn't aligned with AI.

56%
Training and skills development.
33%
Practical application and operational integration.
28%
Organizational adoption and cultural change.
17%
Financial constraints.
Main uses
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

AI adoption is shifting from operational to strategic, yet progress remains uneven: automation and content generation account for the majority of use cases.

44%
Automation of administrative and repetitive tasks.
39%
Content creation and improved communications.
33%
Analysis, synthesis, and organization of information
33%
Idea generation and strategic support
Impacted areas
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

Nonprofits are using AI to streamline their daily operations. There is significant potential for AI to go beyond day-to-day tasks and support more strategic processes.

61%
Report efficiency in the internal team's day-to-day work
22%
Note better interaction with the target population
17%
Report strengthened internal organizational management
AI adoption
Usage barriers
Main uses
Impacted areas
AI Adoption

65%

nonprofits faced difficulties implementing AI.

Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina
6%
59%
29%
6%
Very difficult
Difficult
Neutral
Easy
Very easy

71%

of those who persisted, report improvements in their productivity.

Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina
23%
6%
71%
None
Slightly
Moderate
Considerably
Significantly
Usage barriers
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

Adoption is not held back by a lack of digital tools, but by a lack of skills and an organizational culture that isn't aligned with AI.

56%
Training and skills development.
33%
Practical application and operational integration.
28%
Organizational adoption and cultural change.
17%
Financial constraints.
Main uses
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

AI adoption is shifting from operational to strategic, yet progress remains uneven: automation and content generation account for the majority of use cases.

44%
39%
33%
33%
Automation of administrative and repetitive tasks.
Content creation and improved communications.
Analysis, synthesis and organization of information.
Idea generation and strategic support.
Impacted areas
Investigación de Propel sobre el nivel de digitalización de ONGs en América Latina

Nonprofits are using AI to streamline their daily operations. There is significant potential for AI to go beyond day-to-day tasks and support more strategic processes.

61%
Report efficiency in the internal team's day-to-day work
22%
Note better interaction with the target population
17%
Report strengthened internal organizational management

"

"We cut down the time spent drafting relevant documents and writing up the agreements reached in meetings."

Anónimo 1

"

"We created a chatbot for our online counseling service, specially trained to respond to young people."

Anónimo 2

"

We managed to turn important organizational data into relevant information for decision-making."

Anónimo 3

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