Sam Altman believes superhuman Artificial General Intelligence (AGI) will be with us in the next few thousand days. While many agree, a sizeable number of people don't. Many sceptics pointing to the fallacy of assuming continued exponential growth in AI, and the inevitable plateauing of progression due to physical and fiscal constraints. This reminds me that quote by Robert Metcalf, a big deal apparently in the world of ethernet cables ???, circa early 1990s: "If the automobile had followed the same development cycle as the computer, a Rolls-Royce would today cost $100 and get a million miles per gallon.
" Regardless of the debate surrounding AGI's timeline, we've reached a point in Data Science, Machine Learning, and AI where small incremental improvements in models and training methodologies are yielding significant advancements in quality, speed, and value for those using AI systems to deliver enterprise, business, community, and consumer services. AI SDLC and generative AI are two areas I have paid the most in attention in recent weeks and across both, significant and groundbreaking improvements continue to surface almost daily.
In addition, agent aggregators, or orchestration agents are beginning to surface across a growing a number of Enterprises providing a more robust, predictable and scalable service layer ecosystem for businesses to build their AI strategies upon. Across the IT landscape it's clear those who have already implemented an AI strategy are being rewarded, whether with better data/knowledge transformation outcomes, reduced operating costs due AI identified systems improvements or reduction in cost of low complexity people roles (yikes).
Examples ; 1. Improved Data and Knowledge Transformation: Companies like IBM have reported up to 80% reduction in time spent on data preparation tasks using AI-powered tools. 2. Reduced Operating Costs: A study by Accenture found that AI could boost business productivity by up to 40% by 2035. 3. Automation of Low-Complexity Roles: McKinsey estimates that about 50% of current work activities could potentially be automated using existing technologies. 4. Enhanced Customer Experience: Businesses using AI-powered chatbots have seen customer satisfaction rates increase by up to 90%.
5. Predictive Maintenance: Companies in manufacturing have reduced equipment downtime by up to 50% using AI-driven predictive maintenance. Whether AGI arrives in the next year, 10 years, or 50 years is relatively irrelevant when determining the impact that AI has already made and will continue to make on our lives. By the way, I remember the first car I had at the end of the 80s early 90s. - it was a death trap! We might not have $100 Rolls- Royces, but I wonder what the 21 year old me would make of the Cybertruck.