Artificial intelligence (AI) gained significant public attention when IBM's Deep Blue defeated the world chess champion in 1996 and 1997.
In 2011, IBM's Watson surpassed human champions on Jeopardy, illustrating the integration of curated human expertise into computer systems through the analysis of thousands of grandmaster games and consultation with chess professionals and Jeopardy winners.
By 2022, generative AI software based on foundational models had become prevalent, supported by increased computing power and extensive training data derived from photos, comments, and captions shared on social media.
This growth in software capabilities enabled diverse AI applications, including:
- Natural language processing
- Image recognition
- Face recognition
- Autonomous driving
- Speech recognition
- Robotic AI
Millions of mobile phone users depend on AI-powered software for various tasks.
Virtual and voice assistants such as Alexa, Siri, and Gemini are widely utilized for daily activities both inside and outside the home, including remote operations.
During travel, individuals encounter AI technologies used by public officials for image and face recognition.
Employees in manufacturing facilities, regardless of size, also employ classical AI within controlled production environments.
A recent Microsoft report indicates that artificial intelligence usage is increasing annually.
The latest Microsoft Education survey, which included grade schools through universities, found that 90% of education leaders, educators, and students have used AI at least once for school-related purposes.
The report further notes that institutions are leveraging AI to enhance learning and provide recommendations to assist educators and administrators.
Notable examples include the Catholic University of Chile in Santiago, which deployed 194 AI pedagogical agents to support learning and improve the teaching experience.
Among the most active agents, students averaged 13.2 minutes of sustained engagement, suggesting in-depth exploration of course content rather than superficial queries.
In Broward County, Florida, the district implemented 20,000 Microsoft 365 Copilot licenses, granting AI capabilities to educators and staff and enabling students to utilize Copilot Chat and Copilot Studio.
Students at universities in Indiana and South Carolina employ Copilot as a collaborative tool to prepare for AI-driven careers.
Educators reported reclaiming several hours each week, which were redirected toward student engagement. Projected facility savings ranged from $40 million to $50 million over four years.
In Sydney, Australia, a K-12 teacher developed an AI agent that communicates in Elizabethan English to assist students with Shakespearean projects, such as analyzing Romeo and Juliet.
According to the study, primary AI uses among educators and education leaders include brainstorming new ideas for lesson plans, supporting materials, and assignments (40%); creating or updating lesson plans, supporting materials, and assignments (37%); and simplifying complex topics for students (26%).
A majority of educators and education leaders (87%) stated that proficiency in effective and responsible AI use is essential for students' futures, a sentiment shared by 79% of students.
The report emphasizes that students must enter the workforce equipped to manage AI responsibly and effectively, critically evaluate AI outputs, and assume ownership of outcomes.
The primary applications of AI for students include summarizing information (45%), providing rapid access to answers or information (39%), assisting with assignment initiation and brainstorming (38%), supporting personalized learning or study methods (35%), and enhancing writing skills (30%).
According to Omdia's IT Enterprise Insights: AI - 2025 survey of 1,130 users, only 11% of surveyed firms have reached the stage of optimizing artificial intelligence.
Among the remaining 89% of firms at earlier stages, the study found that 8% are uncertain about AI adoption, 16% are considering options, 17% are evaluating, 16% are piloting, and 18% are attempting implementation.
Omdia's report identifies three converging forces reshaping enterprise AI: the emergence of AI sovereignty, the transformation of workplace technology, and fundamental challenges in AI adoption.
The AI Market Maturity Survey 2025 indicates that dedicated AI budgets have become standard, with nearly 60% of enterprises maintaining such budgets.
Additionally, 28% of enterprises anticipate moderate budget growth of 11-25%, while 6% expect increases exceeding 10%.
The largest budgets are associated with more mature AI companies, which are likely optimizing AI rather than expanding.
Key barriers to enterprise AI adoption include prioritizing AI-first approaches instead of integrating AI as a supplementary tool, a lack of clarity regarding AI applications, and significant skills shortages.
Even after overcoming these obstacles, many organizations struggle to demonstrate the business impact of AI.
Omdia reports that most enterprises measure AI success inconsistently, using ad hoc metrics for some use cases (42%) rather than applying consistent evaluation across deployments.
Over a quarter of enterprises maintain a neutral stance toward sovereign AI, possibly awaiting outcomes from early adopters.
Omdia defines sovereign AI as the capacity of a nation or organization to independently develop, control, and deploy AI using its own infrastructure, data, workforce, and regulatory frameworks.
Global sovereign AI emphasizes scale, velocity, and vendor-driven governance, while locally governed operations focus on control rights, partner alliances, governance by design, and regulatory resilience.