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AI Adoption Raises Originality Concerns In Communication, Creative Industries

by StakeBridge
0 comments 4 minutes read

By Kingsley Ani

 

The Chairman and Group Chief Executive Officer of TPT International, Mr. Adetokunbo Modupe, has outlined a conceptual framework examining the interaction between Native Intelligence, Emotional Intelligence, and Artificial Intelligence in modern communication practice. The perspective assesses the growing role of Artificial Intelligence in Public Relations and AI in creative industries, highlighting both efficiency gains and emerging AI originality concerns, AI content originality issues, and the broader debate around AI vs human creativity.

DECISION HIGHLIGHT
The analysis positions Artificial Intelligence adoption in PR as an enabling force whose effectiveness depends on its integration with human cognitive and emotional capabilities, rather than as a standalone substitute.

DECISION MEMO
The framework presented by Modupe shifts the AI and creativity debate from a binary conflict narrative to a layered interaction model. At its core is the Native Intelligence framework, which identifies human cognition as foundational, enabling the development of Emotional Intelligence and AI systems. This hierarchy reinforces that Artificial Intelligence is inherently dependent on human inputs for relevance, context, and strategic direction.

Modupe argues that AI automation in PR workflows is already transforming operational efficiency through data analysis, content generation, and ideation. This has significantly improved AI productivity in communications, particularly in high-volume environments. However, he raises a structural concern regarding originality, noting that widespread access to AI tools intensifies AI skill displacement and compresses the distinction between skilled practitioners and less experienced users.

This raises a critical question increasingly searched within the industry: Does AI reduce originality in creative industries? The analysis suggests that while tools enhance speed and accessibility, they may simultaneously standardise outputs if not guided by strong intellectual frameworks.

The implication is a shift in competitive advantage from execution capability to conceptual depth. As barriers to entry fall, the differentiating factor becomes human insight. This reflects the evolving impact of AI on public relations professionals, where value is increasingly tied to thinking, interpretation, and narrative intelligence rather than production alone.

He also highlights a functional risk within creative sectors, reinforcing concerns about the future of creative jobs AI may reshape. Speed and automation are beginning to displace depth, raising questions such as Will AI replace creative professionals? While full replacement remains unlikely, role reconfiguration is evident. Art direction, for instance, is gradually shifting toward prompt-based execution, signalling a transformation in skill requirements.

This transition underscores the need for balancing AI and human creativity in PR. The emerging model is not substitution but augmentation, where AI and emotional intelligence in storytelling must operate in tandem to preserve authenticity and resonance.

The analysis concludes that Artificial Intelligence is neither inherently disruptive nor inherently beneficial. Its impact is conditional. Where Native and Emotional Intelligence are strong, AI enhances differentiated value creation. Where they are weak, it amplifies superficial outputs, reinforcing broader AI originality concerns across industries.

WHO WINS / WHO LOSES
Professionals with strong foundational thinking and emotional intelligence gain, as Artificial Intelligence amplifies both productivity and output quality.

Technology-enabled practitioners benefit from expanded tools and reduced execution timelines, strengthening their position within the evolving AI in creative industries landscape.

Conversely, practitioners reliant on technical execution without conceptual depth face erosion of competitive advantage, reflecting deeper AI skill displacement trends.

Industries dependent on originality may experience quality dilution if Artificial Intelligence is deployed without adequate intellectual grounding.

POLICY SIGNALS
The analysis signals a need for capability development frameworks that integrate Artificial Intelligence literacy with cognitive and emotional skill-building.

It also indicates a shift in professional standards, where originality, conceptual rigour, and strategic thinking become more explicitly valued within the broader context of how AI is changing communication and PR practice.

INVESTOR SIGNAL
Artificial Intelligence adoption across communication and creative sectors presents clear efficiency gains and scalability opportunities.

However, long-term value creation will depend on firms’ ability to sustain differentiated intellectual capital, rather than relying on commoditised outputs driven by automation.

RISK RADAR
Originality risk is elevated, as Artificial Intelligence may standardise outputs across practitioners, reinforcing ongoing AI content originality issues.

Skill dilution risk emerges where tool usage replaces foundational expertise, accelerating concerns about the future of creative jobs AI.

Reputational risk may arise if perceived creativity lacks authentic intellectual backing.

There is also structural risk in workforce reconfiguration, as roles evolve faster than capability development frameworks can adapt.


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