The past year has seen a surge of interest and investment in Generative AI (GenAI) across industries. What started as experimental pilots has rapidly evolved into live deployments and ambitious expansion plans. In this issue, we analyse the three forces that will propel GenAI’s mainstream adoption in the coming years, despite the risks and challenges ahead.
Focus On: The 3 Ingredients Needed To Make Generative AI Ubiquitous
While the pace of GenAI adoption is already slowing down as organisations grapple with the “trough of disillusionment”, the long-term trajectory remains strongly positive. There are five key drivers that will keep the pressure on executive leaders to continue learning, experimenting, and investing in GenAI.
Customers
A Gartner survey highlighted that while only 18% of consumers think GenAI will benefit society, 65% are comfortable with its use in marketing and 56% in customer service. GenAI can help deliver the hyper-personalised, relevant experiences customers expect. Establishing customer trust will be vital as GenAI becomes central to CX strategies.
To establish customer trust organisations must focus on transparency about AI usage; human-centric design balancing efficiency and empathy; robust data privacy and security measures; regular audits for fairness and non-discrimination in AI models; and easy feedback channels with clear remediation processes.
Employees
Employees have high expectations for AI to automate routine tasks and augment their capabilities. Over 40% expect their roles to change or require upskilling due to AI. Supporting employees through this transition will be critical to mitigate potential turnover costs and lost productivity.
To support employees through AI transformations, companies should prioritize transparent communication about AI strategies and impacts, provide comprehensive training and upskilling opportunities, redesign jobs to focus on higher-value work, offer transition support services, and lead with empathy.
Investors
In a tight market, investors continue to reward “efficient growth” - simultaneous revenue growth, cost reduction and margin expansion. GenAI offers a rare opportunity to achieve this trifecta through productivity gains, cost savings and reinvestment in innovation. CFOs and IROs are already driving C-suite dialogues on realising GenAI’s financial potential. Some examples of this:
Personalised Marketing at Scale: Drive revenue growth, reduce costs, and expand margins through AI-generated personalised content and experiences.
Intelligent Customer Service: Increase revenue, cut costs, and expand margins by augmenting human agents with AI chatbots for 24/7 customer support.
Streamlined Business Processes: Reinvest time savings into revenue generation, reduce operating costs, and expand margins through AI-automated document-intensive processes.
Optimised Supply Chains: Grow revenue, lower costs, and expand margins by using GenAI for demand prediction, inventory optimisation, and logistics streamlining.
Accelerated Product Innovation: Drive revenue growth, reduce R&D costs, and expand margins by harnessing GenAI for rapid prototyping, design generation, and idea testing.
The frenzy around GenAI may be reduced, but its disruptive potential is here to stay. What do you think?
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Disclaimer: The views and opinions expressed in Chronicles of Change and on my social media accounts are my own and do not necessarily reflect the official policy or position of S&P Global.