Monday, July 1, 2024

Is Generative AI a "Game Changer?"

Generative artificial intelligence might sometimes be called a “game changer” for industries, which might refer to transformative impact and disruption.


That can happen in a number of ways, but measurably when a firm or industry is able to use an innovation to make significant shifts in market share, often by creating new markets or substantially altering existing ones. Think about search, social media or e-commerce in that vein. 


A game changer can produce exponential revenue growth by creating new markets. Think Uber, Lyft, Airbnb. In other cases, revenue growth can come from changing value chains, such as any “direct to consumer” shift, where distributors are taken out of the distribution chain. 


Game changers tend to have industry-wide impact, forcing all  competitors to adapt or risk becoming obsolete.


Game changers also tend to recreate value chains and sources of value, usually manifested in revenue, profit margin or market share statistics, often by enabling new business models. Ad-supported technology products are a prime example. 


Industry

Innovation/Technology

Impact

Media

Printing Press

Revolutionized information dissemination and literacy

Media

Radio

Enabled real-time mass communication

Media

Television

Combined audio and visual for widespread entertainment and news

Media

Internet

Democratized content creation and distribution

Media

Streaming Services

Transformed content consumption patterns

E-commerce

World Wide Web

Enabled online retail and digital transactions

E-commerce

Secure Online Payments

Facilitated trust in online purchases

E-commerce

Mobile Commerce

Allowed shopping from anywhere, anytime

E-commerce

AI-Powered Personalization

Enhanced customer experience and targeting

E-commerce

Cloud Computing

Enabled scalable and flexible online operations

Manufacturing

Assembly Line

Dramatically increased production efficiency

Manufacturing

Robotics

Automated repetitive tasks and increased precision

Manufacturing

Computer-Aided Design (CAD)

Improved product design and prototyping

Manufacturing

3D Printing

Enabled rapid prototyping and customized production

Manufacturing

Internet of Things (IoT)

Enhanced monitoring and optimization of production processes


Scalability--innovations that are broadly applicable--also is a hallmark of game-changing developments. The new technologies or practices should apply across many industries and functions. Innovations that affect a single industry are not generally “game changers.”


In that regard, machine learning or autonomous capabilities are more likely to be game changers than generative AI, even if GenAI has accelerated a shift in thinking about AI in general, in other forms.


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