9 Growth levers for AI to scale ...
- 3 days ago
- 2 min read
Consumer AI, physical AI, enterprise AI, combo or something else? This is a Billion dollar question for the next 3-4 years. After a decade, mobile turned out to be all consumer and cloud retained enterprise. Your mobile phone has 40+ consumer apps and maybe 5-6 work related apps. That tells the story.
What do you think will be Consumer AI, enterprise AI or something else which will surpass others in the next 5 years? There can be only one; hence the mobile analogy.
So, is AI getting ready for prime time? Accessible to everyone? I mean 2 Billion plus people using it and portrays the potential to eradicate all diseases humans alone could not and more.
Here are 9 growth levers for AI to scale.
AI should be fast, reliable and accurate. When browsers were launched, for the first 5 years, if you open 4 plus tabs, they used to crash. Even in 2026, a lot of laptop/ mobile phones have less than a day of battery life. I am sure you get it … ☎️
AI needs to be cheap? Not sure, it will be cheap or not; but some geographies may never pay for AI. Android understood this very well. Why cheap? Because being cheap is one of the most critical variables for scaling.
However, as a consumer, is there an incentive for me to adopt AI? Stable coins are coming with rewards, right? Incentives are proven to drive scale …
Governments will support AI scaling. I believe due to public sentiment, the governments monitor social networks and I get it. I am sure this is for greater good. Will similar happen if AI scales? … 👏
AI should be profitable soon. Not that soon but soon. When railroads were introduced there were land acquisition, terrain, weather, labor unrest, regulatory and many other challenges. And railroads were unprofitable for a decade plus. Similar was/ is there with Indian railways. I believe this is how scale is.
Will the AI ecosystem scale in tandem? This includes data centers, chips, compute, orchestration, applications, good for the environment, etc.
Will geopolitical instability hinder scaling of AI in the next couple of years? What happens if crude oil prices increase more than 50% from where they are today (April 2026)?
Lastly, my dear PM/ tech friends - Is AI a vitamin? Is AI a pain killer? Is AI an antibiotic or is it surgery or AI is just ‘wait and watch’?
What will be AI’s impact on social fabric? An analogy would be the impact of the scale of social media.
AI is a decade plus opportunity. FOMO, POMO, momos - whatever. Get ready.
For me, it is amazing to be a student of AI in 2026. I believe the warming up of AI as a technology is now complete.
After Xerox, Google, Uber and Chatgpt became a verb in record time. As per David Powning, the question we should be asking is, in the scale journey when will AI exponentially tip? … 🏆
Did AI cross the messy middle? Or in the next six months, will we all have AI fatigue?
I wonder what Vint Cerf (F.O.T.I.) would say about scaling AI?
PS - I hope you learned something today …
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