Facts Technological Resilience is broadly defined as an organization’s capacity to overcome challenges when new disruptive technologies emerge and its ability to adapt swiftly
Technological Resilience:
in such circumstances.
AI Strategy – Leader or Laggard? One of the most significant disruptions affecting or-
ted – whether to adopt or implement generative AI
ganizations in the past year is generative AI, with its
by acquiring AI companies, forming partnerships
potential to profoundly transform businesses. Since
with established AI companies, or developing gene-
the introduction of ChatGPT in November 2022, the-
rative AI models from the ground up.
re has been a noticeable fear of missing out, with companies heavily investing and harboring concerns about their relevance in the emerging era dominated by generative AI6. Generative AI accelerates innovation and creativity by generating new ideas, designs, and content, whi-
Large Language Models (LLMs) constitute
le also automating repetitive tasks to save time and
a specific category within generative AI,
resources. The technology, including Large Language Models (LLMs) like OpenAI’s ChatGPT, has shown immense transformative potential for businesses, while simultaneously implying implicit threats for companies that are too slow to adapt. This disruptive technology prompts business leaders to consider the most resilient strategic approach for addressing this transformative force to avoid being outcompe-
6 Forbes: ”FOMO-Driven Generative AI Acquisition Spree Has Begun”, 2023 7 AWS: “What are Large Language Models (LLMs)?”, n.d.
10
Facts designed for generating text-based content. Their rising popularity stems from their versatility, applicable to various tasks, including text generation, translation, content summarization, rewriting, classification, categorization, sentiment analysis, as well as applications in conversational AI and chatbots7.