Speed = Distance x Time.
Velocity =
a = Δv/Δt or a = (v₂ - v₁)/t
Where:
- a = acceleration
- Δv = change in velocity (v₂ - v₁)
- Δt = change in time
- v₁ = initial velocity
- v₂ = final velocity
- t = time interval
Most of you won’t read this or understand it, but my point is - Δv = change in velocity (v₂ - v₁).
Those that control AI, and best use AI - will be able to CHANGE the rate of their VELOCITY as a function of time - much faster than those that don’t use it and that gap can result in exponential performance gains in less time. This is what it graphically looks like.
Here is how we can think about it in the real world
- We study 4 years to get a qualification → then we apply for a job → then we do that ongoing
- The velocity is prescribed. 4 years, + time in the job doing the same thing
But what about an alternative approach
- We just start building skills
- We launch a skill quickly → We talk to people and get feedback → Then we iterate quickly → And the people are happy → Then we build a prototype for an investor → The investor agrees its of value and gives you money → Then you scale it
- And instead of taking a prescribed 4 years to ready yourself, you 2x yourself in year 1. You 4x yourself in year 2. You 8x yourself in year 3, and you 16x yourself in year 4.
That chart will look something like this:
Now, you also want to extrapolate that - not at the individual level - but also what it’s going to look like in the world of AI.
- Who will have the capital?
- How will the talent follow the capital?
- How much faster can the humans with AI go - compared to the Traditional Path?
And it’s an even worse paradox (!) when you consider the cost of compliance.
Conclusion
You can use AI as fuel, to accelerate faster than other people. This is how you should start thinking in that regard:
- Embrace iterative learning: Wherever possible, skip linear paths, and instead adopt more rapid skill building approaches that compound your development.
- Leverage AI as the fuel to do that: Use AI tools to dramatically increase your velocity, focussing on exponential rather than linear progress.
- Seek feedback early and often: iterate based on tangible feedback - that can be tested with evidence and AI. The idea here is, the more you test your work, the faster it’ll get better - when compared to isolated development.
- Build your networks with smart people: Try to build networks where you can access higher quality feedback to enhance each cycles progress
- Follow capital and talent: Look around you and figure out where the capital and talent is, and go there with the acceleration mindset. If you do, you’ll accelerate the probability you’ll be successful.
- Measure your acceleration, not just velocity: Track how quickly your improving, and not just the amount of work you’re doing. You want to try and get the improvement to be exponential. AI is one tool that can help you do this.
The traditional education approach - offers a linear path. If you side step it, and focus on acceleration instead - you could be light years in front in a few short years.
Start today by identifying one area where you could apply these principles to steepen your growth curve. It really is a new way of thinking.