We Are Now Navigating The New $1.3 Trillion AI Markets Coming in 2024.
A technological boom is generationally as significant as Google & Web2.
Artificial Intelligence is already here and with an open-source coding model of conducting business rather than private entity enterprises, the ability of replications has been released into the world.
Artificial intelligence topics and engineering are not new. It simply had never before been more publicized. Autonomous systems have always existed within academic and enterprise-authority communities largely working away from mass population eyes.
In the hands of consumer markets, the overarching impacts and open-market product creation will contribute to the valuation of its newly pioneered industries.
What does this mean when we start to navigate a new $1.3 Trillion market?
We have to look at technology’s history.
Technologies are often touted during their creation era as very disruptive, transitional, and excitingly new. The economic winners are often the early adopters or hard-working accelerants of its industries rather than the late subscribers. Though this second aphorism applies nearly everywhere, technology industrials seem to often be ahead of others in moves in 2023.
B2b enterprise mentality & decentralization of web technologies
The expansion of user-generated content with Web 2.0 from centralized systems brought an abundance of investment funding and new ideas.
This generationally happens because the wealth mongers of Web 1.0 creations were likely convinced by the next waves of generational youth to harness the ability of what they had created.
Or they were simply problem-solving the societal issue that came with advancements such as digitalization privacy, cost of products, and accessibility.
The era of acquisitions, profit-sharing, and the switch to subscriber-based web business price modeling was a direct result of digital drivers from individuals decentralizing and working on “Free Internet” movements.
After all, there wasn’t a strong need for spending on the purchase of client-side software if companies such as Napster existed or downable conversion files of entertainment industry creatives such as audio files, YouTube, and more were suddenly plausible with Web 2.0 technologies for the early adopters that were beta-testing decentralized web systems.
Industrialist pioneering is happening now
Industrialist key leadership making and following along with the shifting impact to business decisions will impact the social, political, and economic climates of consumers and provide generationally impactful abilities to pioneer new industries, fields, and business lines of segment workings.
Consumer-side usage of Artificial Intelligence tools that are already on the market as early software service sales and subscriptions exist. They are already changing the way people think about many fields of work. We are rethinking the lines of where we define what subjective high-quality writing, news, art, and work as.
We are rethinking about work ethics mean and what limitations or no-upper limitations at all to their use.
Artificial Intelligence in business, work, play, and entertainment means there is a seeded lead time where industries will pioneer new ideas, concepts, products, and services that run a percentage or fully on Artificial Intelligence backend embedding.
It’s like Amazon Web Services or Microsoft Azure- there are simply too many businesses and organizations backed on the platforms now that completely rely on the technologies to run their technology or businesses.
There’s a lot about AI on everything and everywhere. Let’s think about this: A photo that develops from Ai. An article being published about AI. A problem being solved by Ai. A homework concept being outlined by Ai. A job interview that is performative based on on the outline of a conversation by AI.
Each menial daily interaction with its technology enables an acceleration creation of its value in all industrial marketplaces where AI is introduced. A cultural heralding of autonomous efficiency would lead inventive thinking minds to create, very often, new products, services, and middle-market solutions for life’s obstacles.
Consumer and societal impacts are now longer and unpredictable
Business leaders and stakeholder decision management teams often adopt technologies and develop roadmaps for product release based on as many metrics of predictability as possible.
It’s like coordinating and organizing a basketball game. There may be metrics from other teammates collected about an expected number of participants, an expected number of tickets to be printed and sold, the number of expected revenue. The exact opening and closing hours.
There is a lot of thought leadership about the input and the outcome results of a well-organized entertainment night. In an open market use of Artificial Intelligence tools and technology, there is no clear or certain outcome goal of its product releases.
This unpredictability means that for opportunistic personalities: that is no developmental roadmap for its use. So hopefully, the navigation of AI will have many great intentions behind the producers that create with it.
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