Once generative AI drives the basic cost of producing a piece of content close to zero, the article makes a clear argument: the scarce resource is no longer content production, but the ability to keep prospective customers seeing it and willing to pay for it.
We note that the article cites a Goldman Sachs forecast that the creator economy could grow from $250 billion in 2023 to $480 billion by 2027, while US brand spending on creators could rise from $13.9 billion in 2021 to $43.9 billion by 2026. The question worth asking is not whether making content can still be profitable, but how AI will redistribute value across the content industry: machines expand supply while people focus on positioning, trust, and closing deals.
What this is
This is an entrepreneurial observation with a strong course-promotion angle. The author divides the business path into two categories: attracting attention for your own personal brand or digital products, or becoming someone else's “creative team,” providing brand strategy, content strategy, and marketing conversion services to companies and founders.
A “one-person creative team” uses AI to research popular ideas, generate first drafts, and schedule distribution, while one person handles the strategy and review work that previously required a team. The article also highlights a workflow shift: a content task that once took 12 hours may take only 4 hours with AI assistance. This, in the author's view, makes one-person teams viable.
Industry view
The article rests on more than AI efficiency. It also points to attention shifting toward social platforms and to companies becoming more willing to buy content, promotion, and conversion services at a low fixed cost. The author argues that AI can perform data research and produce first drafts, but cannot independently decide what deserves sustained publication, how to build trust, or which expressions suit a particular brand. That gives strategy professionals who understand both the industry and AI the ability to command a premium.
But the risks are equally clear. Goldman Sachs and IAB figures are forecasts, not realized revenue. The claim that roughly 90% of creator spending may be ineffective also shows that attention does not necessarily translate into business. Viral content can further distort traffic mix: a single post reaching one million views does not mean a brand has a stable audience. More importantly, earning $10,000 to $75,000 per month while serving one to three clients is the range the author presents as possible, not a broadly validated market price. As similar tools and services proliferate, “knowing how to use AI to write copy” will quickly become a basic skill.
Impact on regular people
For enterprise IT: Corporate purchasing may shift from stand-alone content-generation tools toward customer research, brand knowledge bases, review workflows, and performance tracking. AI's ability to produce more content does not mean companies need more unreviewed external communication.
For individual careers: Entry barriers for production roles such as copywriting and video editing will fall, but job evaluations will place greater weight on editorial judgment, industry understanding, taste, and business outcomes. People who deeply understand their own business may be better positioned for new opportunities than those who merely know how to invoke AI tools.
For the consumer market: Low-cost generation will bring more content and denser marketing, while brand trust may polarize further. Consumers may not be short of information; what they need is a way to distinguish recommendations grounded in real experience from those produced at scale.