For most of human history, business revolved around goods and services. You either traded tangible products or exchanged your expertise, experience, and acquired skills. I had the privilege of doing both—selling rice, pulses, soaps, and edible oils to retail customers and shopkeepers, while also trading my time and capabilities for a monthly salary. Commerce was straightforward: value was visible, transactions were direct, and relationships were largely personal.
Then came 2005, a pivotal year. Gmail arrived as an invite-only service. Facebook was still entry-gated to universities and gradually finding virality and adoption along the way. Web 2.0 was taking shape with rich text, embedded links, multimedia, and dynamic user participation. It became the social media marketplace of likes and emotions. The days of Flash videos, Java applets, and desktop tools like Yahoo! Messenger were slowly fading.
Alongside Web 2.0 rose the SaaS revolution and the advent of cloud-based infrastructure. Software was no longer something you installed, it was something you accessed. Gradually, the end user became the product. Platforms needed to capture attention by design, by persuasion, sometimes by manipulation. Algorithms grew sophisticated, learning the nuances of each individual. The endless scroll on mobile screens became the new storefront. How people shopped, dated, and even consumed political information began to be influenced sometimes subtly through content tailored to advertiser preferences, sometimes more directly through inserted ads.
Fast forward to 2022. Before we could fully understand, regulate, or counterbalance the long-term implications of social media and Web 2.0, Generative AI arrived. Tools like ChatGPT moved from novelty to necessity almost overnight. We began asking AI for everything—education, medical guidance, relationship advice, even strategic consulting once reserved for firms like McKinsey. AI was no longer just part of our workday; it started integrating into our thinking. It began shaping not only what we do, but how we reason.
This acceleration should not surprise us. For years, we discussed the potential of algorithms. The immense data generated during the Web 2.0 era, combined with steady hardware improvements, was bound to bear fruit. The infrastructure was laid quietly and methodically. By the time AI tools became household utilities, even helping parents with their children’s homework, the shift had already occurred.
The pressing question now is not whether AI will integrate further into our lives, but how we codify safeguards to prevent the misuse of user data and identity. A privacy-first architecture must become foundational, covering authentication systems, API rails, and AI inference layers. Dedicated, domain-specific roles such as Chief Privacy Officer and Privacy Architect should be embedded across enterprises to ensure accountability.
The solutions exist. The frameworks can be built. The real question is whether organizations are willing to invest in them, especially in an era where computational demand and cost pressures are higher than ever.
