, the current generation of AI tools and models could help companies speed up 20% of worker tasks without loss in quality.
Software leaders anticipate significant opportunities for AI to drive top-line growth and enhance customer retention. Our research indicates that in this dynamic environment, companies are adopting a wait-and-see approach regarding AI risk falling behind.,” Crawford said. The report emphasised that this is an opportunity for software companies to differentiate themselves by leveraging established positions within customer architectures.As customers integrate AI into their own processes, job roles are expected to undergo transformation. According to the report, functions such as engineering, sales and marketing are poised to benefit from AI in the next 18 months.
Therefore, to mitigate disruption risks, investors must consider both disruption potential and structural barriers in the market. They should also consider whether or not companies own proprietary data could enrich generative AI applications. Bain notes that investors evaluate tech companies differently depending on a company’s context and point in the life cycle. Some investors are drawn to young, disruptive companies based on their growth potential. As companies and their markets mature, investors expect a mix of growth and returns. Mature companies with a proven track record in stable markets can expect slower growth while their investors are closely focused on profitability.
“The key is practical resilience which means diversifying the most critical aspects of your business while getting closer to end markets,” she added.
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