Strategic AI Applications

TMT companies must strategically experiment with AI to unlock long-term value, focusing on practical use cases and avoiding over-investment in unproven technologies.

Themes

AI-Driven Transformation

Timeframe

near-term

Subcategories

Artificial Intelligence Business Strategy Corporate Strategy Innovation Management

Impact areas

Entertainment Media Technology Telecommunications

Detailed Analysis

The rise of AI is transforming the TMT landscape, requiring companies to strategically explore its potential. While the hype around AI is significant, businesses must focus on identifying practical applications that deliver tangible benefits. As Raj Shah, Publicis Sapient's industry lead for TMT in North America, notes, "2025 is the AI playground year. Companies need to experiment with AI use cases to identify long-term benefits, even if immediate returns are not evident." This experimental approach is crucial for avoiding the pitfalls of over-investment in technologies like blockchain and the metaverse, which experienced rapid growth followed by decline due to a lack of strong use cases.

Context Signals

66% of surveyed telco professionals plan to increase AI investment in 2024 (Nvidia report) Ethical concerns surrounding AI use in media production Need for AI-optimized devices for content discovery

Edge

AI-powered predictive analytics for personalized content recommendations AI-driven dynamic pricing models for telecom services AI-enabled fraud detection and cybersecurity solutions

Click to access the source report

Tune in
to all the
TRENDS

Keywords

innovation sustainability technology adoption

2025 is the AI playground year. Companies need to experiment with AI use cases to identify long-term benefits, even if immediate returns are not evident.

Categories for this trend