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AInsights: Executive insights into the latest generation of artificial intelligence…
I recently reviewed a document by coata technology investment platform.
In this special edition Artificial Intelligence Insights, I’d like to share some of the more noteworthy insights from this study. They demonstrate the importance of this moment.
This is at this moment put up AI-first and AI-enhanced Organizations, automation and digitalization beyond legacy models, processes and mindsets. There will be spoilers. And, there will be disruptions. Those in the middle will use borrowed time to ride the wave.
Let’s review the rapid rise and impact of generative artificial intelligence.
We're only on day one
We are in the first days of artificial intelligence and have only experienced one of the coming waves. Its trajectory is already profound compared to previous waves, including the web and smartphones.
Coatue, artificial intelligence: the coming revolution
Innovation cycles are accelerating
Each wave of new platform adoption doubles as each new platform rises and shifts.
Quick wins in AI focus on profits, while AI leaders also invest in top-line growth
Companies that have invested in AI pilots have seen huge efficiency gains, including improvements in customer satisfaction. Artificial intelligence will not only have back-end effects, but also growth opportunities.
GPUs power artificial intelligence; we’re just getting started
As artificial intelligence rises, so does computing. GPUs power artificial intelligence.
There's a reason OpenAI's Sam Altman seeks to do this Raise trillions of dollars for silicon. NVIDIA does this for a reason release Revenue increased by an astonishing 265% year-over-year. Even last year,
Nvidia's stock price has soared.
For the 12 months ended October 31, 2023, reported revenue was $44.870B, an annual increase of 57.07%.
NVIDIA's revenue in 2023 will be $26.974B, an increase of 0.22% from 2022.
Keep in mind that ChatGPT launches in late 2022. NVIDIA's growth since then has been incredible.
GPU is the right architecture for artificial intelligence due to its parallel processing capabilities, scalability, energy efficiency, specialized computing task processing and cost-effectiveness.
GPU supply fails to meet demand
Demand for GPUs powering artificial intelligence applications and use cases far exceeds supply. After-sales prices are also rising. Looking forward to more new players besides Sam Altman. SoftBank’s Masayoshi Son is also reportedly exploring investments here.
A new generation of companies, apps and devices is coming
We are moving from about 15 years of digital transformation and the pursuit of organizations becoming digital-first or technology-first companies to exploring the implications of artificial intelligence in transforming their businesses.
We’re about to see what an AI-first company looks like.
In previous technology waves, we were exposed to new businesses that creatively disrupted traditional industries or acted as market disruptors that created entirely new products, services, and capabilities.
Think of it this way. The Internet, social media, and smartphones have all laid the foundation for new companies that the world has never imagined. The same is true for artificial intelligence.
In an AI-first world, who is Amazon, Netflix or Google?
In the emerging landscape of AI-first companies, who is Uber or Airbnb?
New players will introduce new behaviors and change the course of the market
Iteration helps people do things better, faster, more efficiently, and at scale. In this regard, companies that limit the potential of AI to automate existing or legacy processes or models will miss out on the S-curve of innovation.
Innovation unlocks new value that changes behavior. This is the basic definition of innovation. It enables people to do things they couldn't do before. New behaviors make old processes obsolete. This is the basic definition of destruction.
AI-first companies are not those that prioritize automation, cost cutting, and labor replacement. They introduce opportunities for collaboration between humans and machines, thereby introducing new value and changing behavior in processes.
Companies that only iterate can find themselves on the wrong side of disruption.
Artificial intelligence will redesign organizational models
As an analyst, I have studied digital transformation and how organizations invest in technology stacks and business models for 10 years. During that time, I observed more digitalization than transformation.on my first ReportIn this book, I explore how digital transformation and the “golden triangle” of the Internet, mobile devices, and social media offer leaders the opportunity to reimagine innovative operating and business models. Instead, iteration and digitization prevailed.
In the long run, I don't think companies will choose artificial intelligence. Transformation will not be optional.
AI-first companies will go through more than just digital transformation, we will see comprehensive business and organizational transformations to become AI-first and AI-optimized. New AI-centric startup models are also expected to reimagine systems and organizational charts while changing the trajectory of companies.
Artificial Intelligence brings new opportunities for products and services (and market leadership)
In Florence, Italy, I challenged senior executives to think differently when making operational and business model innovation decisions. I encourage them to consider new prompts as they assess threats and opportunities, “WWAID” or “What will artificial intelligence do?” These answers will help executives explore the unknown, consider options and new trajectories that might not otherwise exist.
None of us know what we don’t know. This is the challenge and opportunity.
Companies don’t have to reinvent themselves overnight. Becoming AI-first requires a mature process. Start with areas of opportunity. Each company funds internal and external AI startups.
What is clear is that artificial intelligence is the first wave of technological innovation that requires organizations to fundamentally change. Successful leaders don’t tack artificial intelligence onto legacy processes because they know they will only optimize the way business is done until 2023.
Today, the winner will look to create a 2030 model, then a 2035 model, then a 2040 model, and so on.
Destruction or death!
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