AI for the next era- Business Impacts? Benefits and dis-benefits?
Starting from the interesting interview with Sam Altman, CEO of Open AI, and following comments made by other AI “EXPERTS” about AI for the new era, I now feel comfortable with making my points about the impact of AI on Business.
The benefits and dis-benefits of “unstoppable” innovation brought by AI are still vague and ambiguous.
First reflection: Middle layer and outcomes from AI Ecosystem.
The AI ecosystem is divided into AI creators/generators, new Businesses from the “middle layer”, and 3rd, as shown in the infographic below.
Other forms of middle layers, with the final output as AI-Apps, are also great. Still, I need to find an efficient one.
My point: What is the real impact of this ecosystem created by auto-GPT on existing and future Businesses?
A question: In the following years, how many startups will be created based on the justification “AI will grow” or “we are working to improve AI”?
In another way, how will new startups manage the minimum viable product (MVP) and scale up when AI is always an MVP?
There is another trend in the AI ecosystem. People who define themselves as AI experts for Businesses in adopting and using AI, are asking for a premium fee.
I am not speaking about AI specialists in the natural language (belonging to the first layer) but those in the second and most of the third level.
I can’t see how AI-based apps, and those sharing or selling prompts, can be considered at scale impacting business continuity and growth..
Second reflection - Disruption of knowledge and Intellectual property for Professional services.
Users feed AI with knowledge and Intellectual property when they ask questions (especially for professional services). It looks like there will be a loss of originality and knowledge.
· What will the added value (for Professional services) be to get a premium fee?
· What about the distinction between consultancy services as “commodities” and “specialised services” to be distinct from commodities? (I will dedicate a separate article to Consulting)
Third reflection-Auto-GPT (self-code creating)
Recently the Auto-GPT has been a further boost for the AI hype. So far, I have read that it can develop an entire program with very limited or no human intervention.
My point: do we need to accept that we install and use applications/software at face value?
I have also raised other questions:
A. “To what extent do people need to be excited about Auto-GPT? As with every innovation, do we need to consider its impact on the benefits/dis-benefits on Science, Health, Business, Social”?
Result: no answer
B. “Auto-GPT: Limiting the example to ERP, if auto-GPT can substitute developers, is it going to create software not for employees but for other auto-GPT “generated points” (GPT)?
C. “RPA can help companies and workers increase efficiency, reducing stress for employees and leaving time for creative or strategic tasks. Reading this mantra for almost two years, and following my four RPA projects, if Auto-GPT can create other working points, where is the human contribution to creativity and Strategic tasks?
Answer: “I love automatons, but collectively we can’t see our societies land in chaos. We’ll all get screwed pretty bad.”
My point: The implications of not having received any answer to question #1 and an honest answer to #2 are that the extreme focus of innovation with celebrative and appreciation adjectives for auto-GPT (cool, extraordinary, exciting, and other similar ones) have already generated blindness about the consequences of it.
Furthermore I can’t see any solid explanation or illustration about AI support for Business Continuity, Business Strategy and Organisational strategies, apart from removing non-productive employees and complete automation, thus, loss of jobs.
Due to my innate curiosity and my professional ethics related to my current and future clients, I have decided to dedicate a particular space to the analysis of the future impact of AI on Business and, in a particular way, on Business continuity, Agility, Business strategy in a newsletter here on Linkedin.
Frequency? for the moment (and I hope not to change it) monthly, as whatever will emerge will require time for reflection, sorry Critical reflection, trusting those who say that this is one of the skills that will always belong to humans. 😎
(By the way, I have also created a short infographic from Altman’s interview)