Why Crowdsourcing Rates Fall, and It Is Not Your Craft

Introduction: The Question Behind the Rate Guides

Going rates on crowdsourcing platforms, and how to win more work on them, are already well documented. What this article takes up is the question in front of that. Why does the rate for the same work keep falling, year after year?

Endless advice exists on the countermeasures, and this one point — why the fall continues — is usually skipped. Skip it and you land on a conclusion about yourself: my craft is not good enough, I am poor at negotiating.

Here is the conclusion first. Rates fall for reasons that are neither your craft nor your negotiation. The asymmetry of knowledge that held the price up has been compressed. This is a structural change in the market, not a problem of individual capability.

What Set the Price Was Never the Difficulty

Why is a high fee paid for one competence and almost nothing for another?

The answer is not difficulty. It is how few people hold it.

Information asymmetry describes a transaction in which one party holds more information than the other. The economist George Akerlof formalised this using the used-car market [Akerlof, 1970, Quarterly Journal of Economics]: where the buyer cannot see quality, the viability of the market itself is affected.

Skilled work rested on the same structure. Writing well, translating accurately, producing a design whose intent holds together — these take years, and a commissioning client who has not acquired them cannot even judge why the result is good. That inability to assess is precisely what the fee was paid for.

Tax and legal basics that once required a professional are now a search away. The consultation rate in that territory fell. What set the price was not the difficulty of the knowledge but the unevenness of access to it.

What Has Narrowed Is the Distance

Hold that view and the fall looks different.

If your writing is valued less than it was, it is not because your writing deteriorated. It is because the means of accessing writing at your standard have multiplied.

Value sat not inside you but in the distance between you and the market. When that distance narrows, the portion of the price that rested on distance disappears.

A crowdsourcing marketplace shows this structure in its barest form. For a single brief, qualifying proposals line up within hours. From the commissioning side, if the quality gap falls inside tolerance, choosing the cheaper option is rational. The moment comparable quality, lower price holds, competition in that band is decided on price alone.

Improvement Is Absorbed by the Market

From here an uncomfortable implication follows.

The intuition that improvement is rewarded is not unconditionally true. It holds only on the premise that the asymmetry of knowledge is being maintained.

You improve; but if the number of people who can do the same thing rises sharply, the unevenness thins. And whatever you gained by improving is absorbed by the market. The value of a competence depends not only on your ability but on an external condition: how many people in the world hold it.

We would like to believe that our value sits inside us. In a market, half of the price is decided outside. However good you are, if countless people can do the same thing, that excellence does not become a number.

Which points to where the exit is. If price is decided by the relationship between you and the market, then designing that relationship returns the pricing decision to your side.

The Ground Shifts From Best to Best-Known

There is a further change, easily missed.

As the asymmetry thins, the ground of competition moves. A market that ran on who is best becomes a market that runs on who is cheapest and who is already known.

When technique levels out, everything other than technique — price, recognition, existing relationships of trust — decides the outcome. The irony is that the harder you sharpen technique to create distance, the more the post-diffusion market is settled by non-technical differences.

This is hardest to accept for the most specialised. To someone who spent years on a craft, it is decided somewhere other than the craft unsettles the premise of that investment.

But this is not a betrayal of individuals. It is a structural change in the market. And it points somewhere definite. If technique is not the difference, the difference is on the side of structure: who receives your work, and how.

Why Polishing the Proposal Does Not Reach

Then write better proposals. Build a track record and get named requests. Both are effective moves. Both are also made inside the same venue.

In that venue, you are not the one deciding who gets the work. Search ordering, how ratings are aggregated, the commission rate — all of these are settled outside your control. Play well and your share rises; the rules by which shares are set remain untouchable.

The question, then, is not how do I win here but on what criterion is the place that prices my work setting the price? If the relationship with the client is tied to you rather than to an account on a marketplace, the premise of being lined up for comparison disappears in the first place.

The commodification of skill as labour is treated in how skill is turned into a labour commodity; the whole picture in why generative AI fluency does not settle next month.

Conclusion: Not a Question of Craft but of Unevenness

Rates on crowdsourcing platforms fall neither because your competence declined nor because you negotiate badly. The unevenness of knowledge that held the price up has thinned across the market.

And while you remain in that venue, whatever you gain by improving continues to be absorbed. That is not a matter of ability; it is the consequence of the pricing decision sitting outside you.

The exit is not greater precision in your proposals but moving the centre of gravity to a place where the criterion of pricing is different in kind. The same competence, placed in a different structure, leaves something different behind.

Whether switching to a newer competence resolves this is examined in one thing to check before learning prompt engineering; what raising speed actually produces, in who gets the time your efficiency gains free up?

References

Academic papers and theory

• Akerlof, G. A. “The Market for ‘Lemons’: Quality Uncertainty and the Market Mechanism” (1970) Quarterly Journal of Economics, 84(3)