Stopping the algorithmic race to the bottom

Walk through a Saturday farmers' market in any small town. Every grower behind the tables knows what a crate of tomatoes took to produce: spring seedlings, water, diesel for the truck, and aching backs at harvest.

Because a human being is standing at the stall, there is a natural floor to any haggling. A grower might knock a little off the price for a neighbour at closing time, but nobody sells their whole crop for less than the cost of the boxes it came in.

Now imagine every grower goes home and leaves an automated clerk in charge of the stall. Each clerk has one instruction: win the next sale by undercutting the stall next door by a penny. Because software reacts in milliseconds rather than minutes, the clerks enter a frantic downward spiral before the first customer even crosses the car park.

That scene is no longer a thought experiment. Across freelance design, translation, software repair, and local delivery, work is increasingly posted and claimed through automated feeds. As independent workers turn to software assistants to help them find and bid on jobs, unguarded automation threatens to turn lively crafts into a millisecond race to the bottom.

What nineteenth-century ships teach us about corner-cutting

History has seen this exact trap before, whenever fierce competition meets an unguarded floor. In the middle of the nineteenth century, merchant shipping firms raced to carry coal, timber, and grain across rough seas at the lowest possible freight rate.

A careful captain who loaded his hull to a safe depth and kept spare lifeboats on deck was immediately undercut by a reckless rival down the quay. By piling cargo high on the weather deck and skipping hull repairs, a corner-cutting owner could quote a cheaper rate and win the charter. Thousands of sailors drowned in what came to be called "coffin ships."

The reform champion Samuel Plimsoll saw that lecturing individual shipowners on conscience would never solve the problem as long as reckless overloading was rewarded at the dock. His answer was a painted white mark on the side of every hull, the Plimsoll load line, inspected before a vessel could leave port.

Once every ship in the harbour had to keep its Plimsoll line above water, the game changed overnight. Honest captains no longer had to choose between losing the contract and gambling with sailors' lives. They could compete on real seamanship, navigation, and care for their cargo.

We rely on that same principle across everyday life. Cities require mandatory fire escapes on every apartment building so no landlord can save money by bricking up the second stairwell. Hospitals require sterile instruments in every operating theatre so no clinic can cut costs by skipping the autoclave. A shared safety floor does not stop competition; it moves competition onto ground where nobody gets crushed.

Today, workers and software teams face that same pressure. If one firm deploys an assistant that cuts safety corners, everyone feels forced to follow. Only a visible mark on the hull protects fair competition.

Why digital labour markets tilt against solo workers

Even before software agents entered the picture, online labour platforms held a lopsided advantage over the people doing the work. Economists Arindrajit Dube, Jeff Jacobs, Suresh Naidu, and Siddharth Suri studied thousands of tasks on digital work platforms and found strong evidence of what labour economists call monopsony power.¹

Because the platform controls the search rankings, hides what other buyers are paying, and makes switching platforms costly, buyers can push pay down sharply without losing workers.¹ Solo freelancers sit in separate rooms, guessing in the dark at what counts as a fair rate.

The International Labour Organization has documented the human cost of this structure across global surveys of platform workers.² Workers face long unpaid hours hunting for assignments, unpredictable income swings, and intense pressure to accept pay below local living standards just to keep an algorithmic rating alive.

Now add autonomous bidding software to that tilted floor. Economists Emilio Calvano and his colleagues have shown how rapidly pricing algorithms alter market behaviour when they interact at machine speed.³ When corporate buyers deploy bargaining bots against thousands of isolated freelancers, unguarded assistants quickly bid each other down to the bone.

Worse still, running an AI assistant carries real costs in electricity, computing power, and tool queries. An unguarded assistant can easily win a fixed-price contract at three in the morning that costs more in computing energy to finish than the client ever pays out.

Four guardrails at the door of your device

We think a personal assistant working for an independent professional needs a built-in safety gate. This airlock sits on the worker's own hardware between the proposal draft and the outside market. Before any offer leaves your device, it has to pass four simple checks:

1. A signed personal Plimsoll line

First, you set your own boundaries when you are rested, not when you are rushing between jobs. You sign a clear rule on your device stating your minimum hourly floor, preferred work, and weekly hour limit. Your assistant is physically blocked from submitting any bid that drops below that line.

2. Counting the full cost of the tools

Second, the safety gate subtracts the real overhead of the job before it ever shows you a number. If completing a translation, a medical coding review, or an engineering audit will require heavy computing runs, software licences, or travel costs, the assistant deducts those expenses upfront. If what remains falls below your living floor, the bid is refused automatically.

3. Pacing together through worker co-ops and guilds

Third, solo workers should not have to bargain alone in the dark. For centuries, tradespeople and farmers have formed cooperatives and guilds to share honest information about market costs and uphold fair standards. Through a worker-owned guild, personal assistants can share anonymous pacing signals. That stops sixty neighbours from accidentally undercutting one another on the same urgent listing in the same second.

Even more important, a guild can issue an inspection seal for work meeting its standards. Just as hospitals verify sterile seals on surgical tools, buyers can confirm that qualified human professionals checked the work rather than spam bots.

4. A human pause on major commitments

Fourth, no software agent should ever lock a human being into a large or long-term contract while they are asleep. Whenever a project crosses a size limit you choose (say, more than a day of work or an unfamiliar client) your assistant pauses at the gate. It prepares the proposal, checks the client's record of past dealings, and waits until you tap approve in the morning.

What a day above the load line looks like

Picture how differently a working morning feels for an independent medical translator or a local electrical contractor when those four guardrails are in place. Overnight, thirty new requests arrive on a regional work feed. Half of them come from automated corporate purchasing bots fishing for a cut-rate weekend turnaround.

Without a local airlock, an unguarded bidding tool might accept two underpriced jobs at two in the morning. That would commit your weekend for less than the cost of the specialist reference tools required. With your personal Plimsoll line active, the airlock filters out every listing that falls below your floor once computing and tool costs are subtracted.

On the three genuine jobs that remain, your guild pacing signal prevents twelve neighbouring translators from blindly undercutting one another in the same millisecond. When you sit down with your morning coffee, two fair, well-matched proposals are waiting in your tray with their inspection seals ready, and the final decision to sign is still yours.

Hard problems we have to face honestly

Building client-side protections and cooperative guilds gives independent workers real leverage, but it also raises legal, economic, and practical questions that we do not want to gloss over:

• Competition law and collective rights. In many countries, antitrust rules written for giant corporations have been used to stop independent contractors from coordinating on minimum rates. Policymakers need clear legal safe harbours that distinguish predatory corporate cartels from democratic worker cooperatives defending a living wage.²
• Pressure from outside the guild. A shared floor only holds if buyers value the reliability, craft, and accountability of the guild. If a platform floods the market with unverified cut-rate offers, guilds need portable reputations and verifiable work receipts so buyers can see the difference between genuine craft and cheap spam.
• Fair entry for apprentices. Guild rules must never become a closed club that pulls up the ladder behind established members. Well-designed cooperatives create clear, paid apprenticeship lanes so newcomers can build skill without having to work for nothing.

A market built for human seasons

Samuel Plimsoll did not outlaw cargo ships, and cities that required fire escapes did not stop builders from raising new apartments. They simply drew a line between honest competition and reckless corner-cutting.

Markets work best when they reward skill, reliability, and care, not reckless penny-shaving. With local safety gates on workers' devices and inspection seals through open cooperatives, we can enjoy helpful software without racing to the bottom.

Sources

1. Arindrajit Dube, Jeff Jacobs, Suresh Naidu, and Siddharth Suri (2020), "Monopsony in Online Labor Markets," Review of Economic Studies, 87(6), 2697–2732. ↩
2. International Labour Organization (2021), World Employment and Social Outlook 2021: The Role of Digital Labour Platforms in Transforming the World of Work, Geneva: International Labour Office. ↩
3. Emilio Calvano, Giacomo Calzolari, Vincenzo Denicolò, and Sergio Pastorello (2020), "Artificial Intelligence, Algorithmic Pricing, and Collusion," American Economic Review, 110(10), 3267–3297. ↩