Yet the marketing of AI is deceptive and confusing by design.
Today's Marketing
Marketing has gotten a lot more complex in the last twenty years. It is very difficult to answer the question of where marketing begins and ends, and it is quite difficult to nail down upstream forces, incentives, and financing of . . . well . . . anything you see and hear. The AI topic occupies a large portion of the media and marketing landscape.
The Over-Marketing Zag
A big negative effect of today's over-marketing through diverse methods and channels is the perceptual conundrums and noise it creates in how to discern between:
- the genuine versus the genuine versus the non-genuine
- the grassroots versus the grassroots versus the non-grassroots
- the expert versus the expert versus the non-expert
- the value of the individual voice versus the value of the individual voice versus the value of authority
- general incentives of social media to facilitate human intimacy versus creating large-scale conflict
When changes in incentives of individual expression and personal confirmation are amplified and charged through increasing conflict, financial rewards, and software features that aggrandize popularity, they supplant and confuse proper analysis of truth, authenticity, and empathetic interpretation that would surpass toddler levels on "the one hand," or that exploit the empathetic trust that would otherwise be instrumental in functional, healthy relationships on the other.
Yes people are smart and they can handle it. "Everyone" knows the tricks of advertising. But advertising still uses these tricks to the point of incredible desensitization, and it has proliferated into a horrific conjoinment with this massive industry's data collection and AI interpretation.
What was promised as the openness and glorious potential of the internet has been leveraged to manifest a dystopian countermeasure through emotional, perceptual terrorism.
The Metamorphosis of a Data Overlord
Most of the conversation around AI is about the prospect of how advanced it is to the effect of taking jobs and skills, and many angles on the fears and ethical concerns around the general concept of AI as a whole.
I believe that these topics are relevant respectively to today's industry buzzword AI - and to the much larger topic of AI as it pertains to accomplishing human-level capability - but that somehow the conversation around the simplicity of the steady continuation of the data industry's evolution has been effectively drowned out.
- Internet accrues users
- Users are observed in realtime
- Users greatly increase
- Data is horded
- Data collection is more invasive, and "Machine Learning" is more invasive
- Data is amassed
- "Machine Learning" is eclipsed by "AI" to equate to much more invasive and detailed data collection and invasive data analysis
- reductive information that can range from misunderstanding the human experience, to exercising massive scales of control over people.
- by the AI, but more-so by the users of the mass surveillance data
So this angle on the situation goes something like this: Change the story to all things AI. Continue the same thing. Explore additional benefits of using the new AI, primarily using it as a massive smoke stack to produce a mysterious and frantic, billowing dark cloud of scare tactics for class warfare. Insofar as it can become real, use that for whatever advantage can contribute to the significance of futility against fully realized dominance. (That's not an instruction manual. That's a dystopia.)
Concerns Worth Characterizing
"Concerns Worth Characterizing" is a really meaningful way of saying it. A concern is worth characterizing to give it just enough form to use it in an analysis of the situation: One lens through which to see something.
Characterization Awaits Research
For instance, this characterization of AI in real life could vary widely in how intensely it translates to reality, everywhere between:
- already in the objective sphere of commonplace knowledge: somewhat hyperbolic
- in which not too much seems to be going that wrong
- that the future will be more of the same: not much better or worse
- an alarmist futurist fortune telling that describes a full-on burgeoning nightmare of massive class disparity
- much worse relative to today's standards
Not all characterizations are created equal, but I think the data industry is worth holding up against this characterization just as much as any concerns about concentrated power do in general. The history of technological advances' relationship to power is foreboding.
Slow creeps in power look relatively instantaneous from an historical lens, and somehow it is still very easy to see even the next two or three years as an indication of the times to come. This translates to a couple things, namely being calm and not overreacting while also being vigilant in awareness.

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