Make no mistake, the AI revolution (and evolution) is upon us.
Most of us have been exposed to or experimented with Generative AI (GenAI), often powered by Large Language Models (LLMs) and Image Generators, whether taking minutes at meetings, interacting with a Chatbot, or even creating a birthday invite.
Businesses across all industries are surging ahead and looking at ways to foster competitive advantage through AI, standing-up vast programs with seemingly endless remit, while others play the waiting game to see how things play out. Those that have already taken the leap are looking across all aspects of their organisations and value chains to gain competitive advantage.
The pace of change is rapid; it’s not only the use of GenAI that has exploded but increasingly companies are looking at the application of Agentic AI to increase efficiency and reduce costs by automating workflows and removing friction from businesses. There are already early signs of the potential of AI to super-charge scientific and medical advancement, with models already demonstrating their ability to turn around in days and weeks, research that would have taken teams of scientist’s years to accomplish.
Economically, all the numbers being thrown around are mind-boggling and unprecedented – from the size of AI infrastructure investments to the anticipated energy needs to support this AI enabled future. Much like the late 90’s and early 2000’s internet boom, fortunes will be made and lost on this evolutionary technology, whilst established businesses fear becoming a ‘Kodak’ like casualty of the AI evolution.
What AI promises is incredibly exciting, yet the sheer scale and depth of information and advances in AI can be overwhelming to understand individually and collectively. This is exacerbated by the evolutionary pace, where a day doesn’t go by without a headline grasping announcement related to this technology promising something new and previously unimaginable – never in our history has there been such rapid advancements in new capabilities being introduced by AI.
Unsurprisingly, there’s plenty of predictions about the upheaval AI will bring across industries and jobs – with nothing seemingly safe from ‘the machines’ taking all our jobs at some point. Numerous statistics have been published, putting specific figures on the impact on graduate hiring locally and globally. Educational institutions across the world are having to re-evaluate not only how they assess students but also what they teach, as seemingly rock-solid skills are being superseded by AI, forcing them to rethink how they equip the next generation with the right skills.
At GiveMore, we’re seeing firsthand how AI is beginning to reshape the landscape of technology delivery. Tasks that took weeks, like mapping legacy system integrations or manually analysing user stories, can now be completed in hours (or less) with AI-assisted tools. From streamlining requirements gathering and automating documentation ingestion to accelerating code generation and testing, AI is helping delivery teams reduce friction and improve velocity. It’s not just about GenAI anymore – Agentic AI is progressively being used to orchestrate workflows, triage support tickets, and even manage dependencies. The potential is enormous.
But with opportunity comes risk, AI promises so much, yet with hallucinations, disinformation, bias, privacy, job displacement & unrealistic expectations all real challenges that we need to face into and manage.
But what does this mean for delivery?
Taking the lead from good delivery practice, it’s important to recognise that the breadth and speed of change isn’t instantly understandable – we need to break it down, look at what’s relevant to our own reality and circle of influence.
At GiveMore we’re thinking about how to make sense of this AI evolution, and specifically what it means for delivery in Australia.
In a series of LinkedIn articles, we’ll deep-dive into AI from 3 alternate delivery perspectives
- Tackling the AI opportunity in organisations
- What AI means for teams and their Ways of Working
- How individuals can use AI as a super-power in delivery and their careers
We look forward to exploring these areas, where we’ll pull apart facts from fiction, unpack the opportunities and challenges, whilst providing pointers on ways to navigate this revolutionary technology in delivery. So, keep an eye on our LinkedIn feed, where we’ll share these articles.
Disclaimer: This article and the upcoming deep dives are heavily caveated by the lens we can apply today, based on best efforts and the likelihood that the speed of change may make some, if not all, our predictions a bit off the mark!