Am I Worth as Much Now?

The question deserves a straight answer

If an AI system can produce in minutes something you spent years learning to do, I can understand why you would ask whether you are worth as much now. Telling you to embrace change does little to answer it. You may be thinking about a mortgage, a school fee, a client who wants a lower price or a role you hoped would last.

I believe a person's worth exceeds the price of a task. That is a moral position I am willing to defend. It does not settle what an employer will pay, what a client will buy or how much influence you have over either decision. Those questions deserve their own honest conversation.

The difficult possibility is that a skill remains valuable while the price of producing a particular output changes. You may have worked hard to acquire that skill. The effort matters to your history, but a buyer can still ask what they need to spend today. I do not think we help people by pretending that effort makes every existing business model permanent.

I also resist the rush to write a person off after seeing one task automated. A job includes decisions about what should be done, how it should be checked and what happens when circumstances change. We should examine those responsibilities before making a judgement about the person doing them. That examination may support a different role, a different price or a different way to organise the work.

Better tools do not set your wage automatically

On 6 October 2026, Anders Humlum and Emilie Vestergaard described their Danish research. Their surveys covered about 25,000 workers in 11 AI-exposed occupations and were linked to records through December 2024. They found no average effect of chatbot adoption on earnings or hours, and ruled out effects larger than 2%.

That finding does not tell you what your next contract will be worth. It does make me wary of the easy promise that learning an AI tool will automatically raise your salary. The route from a useful tool to your pay packet contains decisions about demand, responsibilities, ownership and bargaining. You need to understand those decisions in your own workplace.

If you have become faster, follow the benefit through the work. A customer might receive a better service, your team might accept more assignments, or checking the extra output might fall to somebody else. Ask which of those changes your manager can recognise and reward. Otherwise, improved speed may simply become a new expectation that you will absorb more tasks.

A task can change before a profession disappears

The ILO's 2025 exposure index places one in four workers globally in occupations with some generative-AI exposure; 3.3% of employment falls in its highest category. Exposure describes potentially affected tasks. It is not a count of redundancies, and it gives no personal verdict on a Jamaican professional's future income.

A different study shows why concern about the price of output is reasonable. Shakked Noy and Whitney Zhang's experiment with 453 professionals found that ChatGPT access cut average time on specified writing tasks by 40% and raised assessed quality by 18%. It tested particular assignments, not the continuing responsibilities or market price of a whole job.

If a client buys an output that has become easier to produce, I would expect them to question the old arrangement. That is a possibility to prepare for. You might lower the price, serve a different need, take on more work within a sensible capacity limit or change what the agreement includes. Which choice makes sense depends on the evidence about your service and your customers.

What I would avoid is selling an undefined quality called being human and hoping the phrase does the negotiating. Explain the judgement you contribute. Show the ambiguity you resolved, the error you caught or the consequence you anticipated. If the client can obtain the same accepted result elsewhere for less, take that information seriously and reconsider the offer.

I use the term AI Shadow Work for the cognitive labour involved in using AI well that formal assessments can miss. Applied to a professional's value, it asks us to make that work visible. You take responsibility when you select evidence, check a draft and decide when to stop. A demonstration that shows only the finished output may leave those decisions out of view.

Visibility alone will not secure higher pay. It gives you a more defensible account of your contribution. It also gives an employer a better basis for deciding which work to train, recognise or redesign. I would want a performance conversation to distinguish between someone who produces many drafts and someone who delivers work others can use without an expanding correction queue.

There is a personal question underneath the commercial one. If most of your pride rests on being the fastest person to produce a particular output, a faster tool can feel like a verdict. Give yourself permission to revise that definition of achievement. Learning to make sound decisions about unfamiliar assistance can become part of your work without erasing the knowledge that brought you here.

A Jamaican professional needs a specific case

Consider a hypothetical designer in Kingston preparing a restaurant's menu and launch materials. The owner wants a premium feel, low printing costs and type older customers can read easily. The menu includes bammy, a cassava flatbread in Jamaican cuisine. Imagine that an AI draft pairs that label with an image of a bread roll. The designer would need to check the actual dish with the client, correct the image and test whether the menu works on the intended paper and equipment.

The designer can show their value when they resolve the brief, test a sample and explain the choices to the owner. An attractive image may need more work before it becomes something the printer can produce and a customer can read. The proposal should make those responsibilities clear and admit where AI has reduced drafting time. A lower fee for one part of the work may be reasonable without deciding the price of the entire engagement.

For a Jamaican professional, this shifts the conversation towards the decisions a client is buying. Keep an agreed brief, a sample and the reason for the final choice where you have permission to do so. Those records support a conversation about your particular contribution; the overseas studies do not establish how Jamaican design fees or wages have changed.

I cannot promise that good judgement will protect your job

An employer may still reduce a role, a client may still cut a budget and a capable person may face a difficult transition. I cannot promise that good judgement or continued learning will protect a job. Understanding your contribution can help you decide what to offer, what to learn and which terms to seek, while you also prepare for decisions you cannot control.

There is a risk for employers too. If the organisation rewards only visible output, people may concentrate on producing more while hiding the effort needed to check it. Customers and downstream colleagues then carry the errors. A fair review should examine accepted outcomes, correction work and responsibility for exceptions, with staff able to explain problems without being penalised for disclosing them.

Employees should also protect confidential material when building evidence of their work. Use approved examples or remove identifying information. A portfolio that exposes a client's records can undermine the contribution it was meant to demonstrate. The purpose is to make competence inspectable while respecting the people whose work made the example possible.

Prepare for a better conversation about value

I would take a short record into that conversation, whether I were the employee, the consultant or the manager. It would need to show what changed and who carried the work. Here is a small exercise you can adapt before your next review.

1. List your responsibilities by 2 November 2026. Include the decisions and exceptions behind the visible deliverables. Mark which parts AI can assist, which require verification and which depend on authority or information the tool does not possess. Ask a colleague to identify anything you have overlooked rather than writing the list as a defence of your current title.
2. Track five comparable pieces of work by 5 November. Record preparation, checking, correction and completion time, along with whether the recipient accepted the result. Preserve an agreed baseline where one exists. Treat this as a small diagnostic record, not proof of a general productivity gain. Note changes in task difficulty so a simple job is not mistaken for an improvement.
3. Ask for a specific discussion of the benefit. Bring the record to your manager or client and agree which contribution matters, what should be learned next and how expectations will change. If you are the employer, explain how you will assess quality and address extra review work. Do not promise a reward you have no authority to approve.

You may discover that part of your offer needs to change. You may also find work that nobody has asked you to explain. A useful conversation should leave you clearer about what is being bought, what you are responsible for and the terms you can accept.

Questions for your next work conversation

Should I tell a client that I use AI?

Follow the agreement and any applicable disclosure requirements, and discuss use when it affects confidentiality, rights, quality assurance or what the client reasonably expects you to deliver. Explain the checking you provide. Do not describe a generated draft as independently verified work before that verification has happened.

How can I document judgement without exaggerating it?

Keep a short approved example with the original problem, the evidence you considered, the decision you made and the outcome you can establish. Acknowledge other contributors and uncertainty. Avoid assigning a cash value to an error prevented unless there is a defensible basis for that calculation.

What if I am paid by the hour?

Discuss how assistance changes the scope and billing arrangement before assuming the previous number of hours still applies. Consider whether the client needs a defined outcome, continuing availability or a limited assignment. Any revised fee should reflect the agreement you reach, not an undisclosed change in how time is recorded.

What can a manager offer when a pay increase is unavailable?

Be candid about the constraint and avoid presenting recognition as an equivalent substitute for money. Discuss options the organisation can actually provide, such as relevant training, a clearer role or a review on an agreed date. Record the commitment so the employee can judge whether it was honoured.