Talk of future billionaire “solopreneurs” may be more hallucination than premonition, but it points to a real trend in entrepreneurship and the way of doing business with A.I. That is, outsourcing skilled work to A.I.
The Five Most-Key Takeaways from This Blog Post
- An example of a skilled worker is a coder, who many A.I. enthusiasts note are becoming less in-demand as the phenomenon of vibe coding takes off.
- Vibe coding is a good example of this phenomenon of A.I. outsourcing, because it is not without its risks. If a solopreneur with no programming knowledge or small business without any experienced coders on staff become dependent on vibe coding. Consider, what if the code has serious issues the A.I. can’t resolve, but nonetheless go unnoticed until a serious problem occurs?
- All this talk of skilled work, might as well throw in “knowledge work” (yes that’s the term in usage). Realistically, skilled workers are partly skilled because they are also knowledge workers who draw on knowledge (this can include experience) to know how to do a task correctly, or how to correct or mitigate an error.
- Relying on A.I. to check A.I.’s work just gets you into an inherently contradictory situation of relying on A.I. to review A.I. because you think A.I. could be getting it wrong.
- Business owners should be measured in their use of A.I. if they are looking to evade serious issues in areas like meeting privacy measures they are ignorant of when vibecoding an app.
The Significance for Business Owners
You will be seeing lots of it on LinkedIn, if you are not already.
Posts in that elliptical proclamatory stony diction that may as well be the LinkedIn house style about how A.I. vibecoded an app the nonprogrammer entrepreneur or small-business owner used without needing to hire a programmer (expensive!).
You can readily online-search for examples of vibecoders who sort of just assumed that the app was secure enough to ward off hackers.
As mentioned in the Key Takeaways section, it would be a dim above-head lightbulb indeed if the proposed solution is to just trust A.I. to secure the code for you. Who watches the watchmen, in this situation?
This points to a broader issue in A.I., which is that there are people who think that A.I. will magically be competent enough for people to outsource any number of tasks that those people will themselves be unable to evaluate.
That mentality has more in common with an overconfident gambler than a biz whiz. If you don’t know anything about coding, especially not enough to verify whether that vibe-coded app that “productizes”, then how is that not anything but gambling?
A Reasonable Objection
Yes yes, one could extend this argument to hiring human workers skilled and knowledgeable in areas that the business owner is not. The same issue exists with human workers, right?
Well, consider that a hired or outsourced human coder who knows how to secure a program will have an innate incentive to do so correctly. That coder’s reputation is on the line, and with that a job or even career.
A coder needs to pay for food and shelter and other daily necessities. A.I. does not need the paycheck, though of course the creators of the tech are looking to make money off of the vibecodes without having to fulfill the code-securement end of the bargain.
Take notice of how A.I. tools (and the creators of these) present outputs evading ultimate responsibility for issues with vibecoded apps. The business owner is responsible for securing the code, according to ChatGPT.
The Last (But Not Least) Key Takeaway from This Blog Post
It all comes down to trust, here. A reputable human coder comes with the trust that the job will be well done in securing code, whereas an A.I. does not need to earn that trust because it is sold as not liable to be ultimately trustworthy to do the job well.
Other Great GO AI Blog Posts
GO AI the blog offers a combination of information about, analysis of, and editorializing on A.I. technologies of interest to business owners, with especial focus on the impact this tech will have on commerce as a whole.
On a usual week, there are multiple GO AI blog posts going out. Here are some notable recent articles:
- For Businesses and Other Organizations, What Makes a Successful Chatbot?
- IBM Watson vs. ChatGPT vs. Gemini: How Will Each Affect Search Engines?
- Using A.I. to Find Resources for Business Owners
- How Would Restricting Open-Source A.I. Affect Business Owners?
- The EU’s A.I. Act Has Become Law: The Implications for Business Owners (Especially American)
In addition to our GO AI blog, we also have a blog that offers important updates in the world of search engine optimization (SEO), with blog posts like “Google Ends Its Plan to End Third-Party Cookies”.
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