AI Survey Analysis

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AI Survey: Analysis

Survey respondents attest to the fact that AI is having major impact in education and enterprises around the world. We have organized the survey findings below to help quantify and assess the various impact of AI in both education and organizations.


The impact of artificial intelligence (AI) on education and organizations is significant. As AI continues to have a broad effect in practically all fields and people become increasingly concerned on how AI will impact future jobs, the academic sector has been on a race against time to appropriately respond to these changes and ensure that they are preparing students for the needs and jobs of tomorrow. Organizations are also increasingly adopting AI as a way to stay competitive and innovative.

A study published by the EU noted that AI would make some functions of education obsolete and emphasize others while enabling new ways of learning. AI-enabled tools are already helping to improve education, and it is believed that they will also enhance the quality of teaching and learning. Currently, AI is employed in tutoring, testing, generating test question, taking attendance, grading assignment, supporting special needs students, among others. While there are a number of reasons to be excited about the increased adoption of AI in education, there are also key issues educators and policymakers have to handle.

The document by the EU summarizes one of such key issues as follows: "as these supervised AI learning algorithms are based on historical data, they can only see the world as a repetition of the past. This has deep ethical implications. When, for example, students and their achievements are assessed using such AI systems, the assessment is necessarily based on criteria that reflect cultural biases and historically salient measures of success."


The adoption of AI in education is gradually taking hold in various level of education and in various countries. While the level of adoption varies across different levels, the current trend suggests that it will keep rising in all sectors of education.

A survey that was conducted to asses what people think about the role of AI in education found that the majority of people surveyed in various categories of education believe that AI adoption is increasing. The findings are in line with reports from McKinsey showing broad impact of AI in education.

AI's impact on education is more pronounced in corporate education than in other levels of education. Our survey of 235 people found that those surveyed rated the impact of AI on corporate training and upskilling as having an impact factor of an average of 8.16 out of 10, while the impact of AI on pre-K kids is just about 4.1 on a scale of 10. For students in K-12, the impact of AI at the education level was rated an average of 6.98/10. At the university level, the 232 people that responded to the survey rated the impact of AI an average of 7.83 out of 10. In technical and vocational education, it was rated an average of 7.91/10 by 234 respondents.

When asked the impact of vision-based AI in education on a scale of 10, the average impact based on 234 responses was 6.56. Although it's above average, the impact of vision-based AI was the least according to respondents compared to voice-based AI in education (7.21/10), AI algorithms in education (8.43/10), AI-based hardware (6.82/10), and Natural Language Processing (8.15/10).

The survey clearly depicts the fact that the impact of AI on education is robust across various educational segments.


Organizations are increasingly adopting AI at various level. A survey by McKinsey found that 47% of respondents have deployed at least one AI capability in their organization, while 30% were already piloting the deployment of AI in their organization. In fact, 21% reported that they are using AI across more than one business units already.

Our survey found that only 13% of the 233 respondent have invested in and deployed AI in their organization. About 18% of the respondent stated that they were either piloting AI deployment or have completed the pilot test. About 21% said that they plan to deploy AI in the short term and 21% said they plan to in the medium to long term. However, the greatest percentage, 23%, stated that there was no plan to deploy AI in their organization in the foreseeable future. In all, however, we can conclude that about 77% of organizations have either deployed AI or plan to do so sometime in the future.

Although our data slightly differs from that of McKinsey, our survey is in line with similar surveys on the subject generally, showing that organizations across various industries are taking AI seriously and some are already taking advantage of it.


Fifty-two percent of respondents say do not plan to deploy vision-based AI. Only 22% of respondents state that they have piloted vision based AI, 7% have it embedded in multiple functions or units, while 4% have embedded it in one function. For voice-based AI, 52% do not plan to deploy the technology, 29% of respondents plan to deploy it in their organization, 10% have piloted it, 3% have it embedded in at least one business unit, and 3% have it embedded in multiple business units.

Natural Language Processing has been deployed in 7% of respondents organizations in multiple business units, while 6% have deployed it in at least one function or unit. The survey found that 24% of respondent planned to deploy it in their organization, while 12% have already piloted it. However, 47% do not plan on deploying it in the foreseeable future.

Thirty-five percent of respondents say that their organization plan on deploying AI algorithm, 14% state they have piloted the deployment, 13% have deployed it in multiple functions or business units, while 9% have deployed it in at least one business unit or function in their organization. However, 24% stated that they do not have any plan of deploying the technology.

A whopping 62% of respondents state that their organization has plans of deploying AI-based hardware. This suggests that AI-based hardware is not as popular with organizations. Only 22% of respondents said that their organization plans to deploy AI-baaed hardware, while 7% have already piloted it. Only 2% of respondents state that their organization has deployed AI-based hardware in at least one business function or unit, while 2% have deployed it in multiple units or functions.

Where AI creating value for organizations

AI is creating the most value for organizations as a tool for assessment and feedback and as a tool to aid the learning process. Thirty-four percent of respondents stated that it has significant value in providing assessment and feedback in their organization and 33% stated it has significant value in the learning process.

AI also has significant value in student/customer support for 25% of the respondents, while 20% of the respondents stated that it had significant value in customer/student acquisition. Twenty percent of respondent stated that AI has significant value for their organization in providing security and identity protection, while 19% stated it has significant value in business processes in their organizations.

The survey further revealed that the most important AI practice in organizations is the use of AI-generated data (internal or external data) to support business goals, with 49% of respondents stating their organization uses AI data for the purpose.

Forty-three percent of respondents said that their organization leaders are committed to AI initiatives, 38% said their organization have access to AI talents (internal or external talent), 32% have a clear strategy for acquiring AI data, and 27% of respondent state that their organization has mapped out where AI opportunities lie for the organization in the future.