Tech Evolution and The Future of Work in the AI era

A post from @Matthias Reiser talking about the AI industry stack inspired me to put it into a correlation with the future of work.

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The concept and layers were originally introduced by Jensen Huang, CEO of NVIDIA

Looking at the evolution of the technology stack over the past 50+ years, I realized an interesting development that points to the future of work.

🥸 1970s we had hardware and software. Both were used by an engineer within a company. SAP tried to make the data accessible to general employees.

🤯 1980s we had split hardware in clients and servers, plus software. PCs were introduced, and normal people could use a PC – if they had software that they could use.

🧐 1990s we added the Internet with a slew of local, corporate, and public hardware. Plus software. Creating a website that others could search was the key. It was essentially again a dialog system between an individual and a computer.

😎 2000s, we added cloud to the local, corporate, and public hardware plus software. And also seeded the split between on-premises and software-as-a-service. No matter what technology, People could enter data that was stored somewhere. Later, the data could be retrieved in different ways. But still, garbage in – garbage out.

💥 2010, the internet and SaaS were all about e-commerce, business applications, social media, tools, global networking, and Hardware. NOTE: Hardware dominance vanished, and it was all about applications. Early AI power shocked the broader public with AlphaGo. A dream began to spread that there may be better ways to use data. Not only to store and retrieve but also to make intelligent assessments, see relationships between the data, and generate correlations across all departments and silos – not for analytics but for intelligent workflows.

👽 In 2020, AI started to explode with ChatGPT by the end of 2022. Generative AI, Agentic AI, Native AI, Enterprise AI, AI models, AI tools… Hardware is no longer a topic outside the technology and engineering societies. Software, Software as a Service, AI Software, and now Native AI (no software), typically a new layer on top of software, drives this century. Excitement and fear rose together.

The future of work is managing AI

🚀 2030, Hardware is centralized as power plants are today. Servers, Super Computers, and even Quantum Computers are UTILITIES, like Water, Electricity, and GAS.

People no longer code or prompt; they are part of highly sophisticated, intelligent, and adjustable workflows. They design their future, their work, and even their education, leveraging AI to create things we can hardly imagine today.

The Agentic IT of 2030 makes most office people managers. They will manage an AI so powerful that any company will need its entire staff. This makes the future of “work” managing AI. It means no layoffs, but substantial productivity gains with the teams one has.

#AI, #EnterpriseAI, #nativeAI, #PROactingAI, #AIutilization. #The_Future_of_Work_is_managing_AI