EXPERT SPEAK
AI IS MERELY SIMULATED HUMAN INTELLIGENCE
AI maturity is not a pre-requisite to business value generation . Gartner ’ s research indicates that early adopters of GenAI are reporting a range of business improvements including 16 % revenue increase , 15 % cost savings and 23 % productivity improvements on average . Anthony Willis at Altron Digital Business explains further .
Amidst all the excitement around the potential and massive investments being made in AI , more and more questions are starting to surface as to whether the hype surrounding GenAI is justified , or if we are naively and vastly overestimating its potential ? IDC forecasts an increase in AI spend from $ 235 billion to $ 631 billion between 2024 and 2028 as a result of the massive and ongoing global advances in AI and GenAI .
A global McKinsey survey conducted in 2024 found that 65 % of respondents reported that their organisations are regularly using GenAI , nearly double the figure from just 10 months ago , and with 75 % predicting that GenAI will lead to significant or disruptive change in their industries in the years ahead .
There is no shortage of surveys published in the past 12 months that clearly report on how organisations are already seeing material benefits from GenAI use , including cost reductions , productivity and efficiency gains , and revenue increases . The survey findings suggest that organisations are using AI in a far wider array of business functions than in previous years , with GenAI adoption most common in functions such
Anthony Willis , Senior Specialist : Solutions Architect , Altron Digital Business as marketing , pre-sales , sales , product and service development and across internal IT .
In very simplistic terms , GenAI is Artificial Intelligence capable of generating text , images , videos or other outputs , usually in response to natural language prompts , and from a chatbot perspective , mimicking human conversation .
According to Gartner , GenAI is the number one type of AI solution currently deployed in organisations , with 29 % of respondents saying they have already deployed and are using GenAI .
Interestingly , only 9 % of companies regard themselves as AI-mature , where AI-mature organisations are defined as typically having a scalable AI operating model , balancing centralised and distributed capabilities ; focus on AI engineering and have a systematic way of building and deploying AI projects into production ; having invested in upskilling and change management ; and with a focus on trust , risk and security management capabilities to mitigate the risks that come from AI implementation .
For the next decade most roles are not at risk from AI , but from a human who knows how to use AI better than you do .
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