You are losing deals you would have won a year ago. Not all of them, and not dramatically, but the line is pointing downward. At the same time, you hear from customers and from your own salespeople that competitors respond faster, send a quote faster, give faster answers to technical questions. You suspect AI has something to do with it, but you do not know which part of the difference comes from that and which part is something else. That uncertainty is the problem: you cannot adjust course based on a cause you do not know.
AI is currently taking over pieces of work, not entirely and not everywhere to the same degree. At one company, a system independently handles most of the calculation, at another that remains human work with AI as a background tool, and at a third nothing has changed yet. That difference does not lie in ambition but in what a task is: some steps are easy to automate with human oversight that approves or rejects, others remain dependent on judgment that cannot be replaced. Where that tipping point lies also shifts what decides a deal. A dimension that used to depend mainly on staffing now depends on something else: on whether the work behind it has been accelerated, and with what oversight.
If delivery time used to be a matter of staffing and is now a matter of planning software that reschedules itself, then the party that wins is no longer the one with the most people, but the one with the best system. Recognizable by: customers citing response time or lead time as the reason for a competitor, while your own team has not gotten worse at it. In that case, the problem does not lie in your execution, but in the fact that the standard for that dimension has shifted.
It is possible that you compete on price or on relationship, while the customer now decides based on speed of response or consistency of information. Recognizable by: lost deals where the customer afterward cites a reason that was barely discussed in your own sales conversation. If you are in a market where no one discusses what actually decides things, this cause remains unnoticed for a long time, even by competitors.
If AI takes over part of the calculation or quote-building process, the costs of that process decrease, and that can translate into a lower price without the margin declining. Recognizable by: prices that you can no longer explain based on the usual cost structure. What lies behind that is not always AI; it could also be a different supplier or a different scale. Anyone wanting to distinguish between those will find clues in what happens when a competitor suddenly becomes cheaper without a clear reason.
Sometimes the win rate has not declined because of an existing competitor, but because of a party that until recently played no role and is now rapidly gaining ground, often precisely because that party, without existing processes, started immediately with AI-supported work. Recognizable by: losses to a name you would not have named as a competitor a year ago. See also what can be said about a new entrant growing quickly without a clear reason.
A declining win rate can also mean that processes take longer and more often end without a decision, which is a different pattern than losing to a competitor. Recognizable by: quotes that are not rejected but simply linger. That pattern is addressed in the question of what it means when long sales processes remain stuck without a decision.
None of these explanations excludes the others, and none of them can be established with a single signal. A declining win rate is a sum total, and the contribution of AI deployment among competitors is a variable within that, not the outcome. What is certain: if AI takes over work somewhere in a competitor's chain, that changes the cost price, speed, or consistency of that work, and with it the standard against which you are measured. Whether that is the case with your competitors, and on which dimension, is a question that must be answered case by case. Figures on this are scarce; competitors rarely publish what happens behind their quote, and information about competitors who do not publish figures therefore usually comes from indirect signals, not from an annual report.
The question you can ask yourself is not whether AI affects the win rate, but which part of your own work is itself subject to that same shift and which part is not. That is a different question from what competitors are doing; it concerns your own position. Which work in your company can genuinely be taken over by AI, with what oversight and with what effect on speed or costs, is mapped out per task using the work scan from FTE TO AI. That is a factual inventory, not advice on personnel decisions; decisions affecting the workforce are subject to their own legal requirements, which are not addressed here.
Before pointing to a competitor's AI deployment as the explanation, it is worthwhile to establish what you yourself think you are winning on. Many sales teams use claims that have never been tested, and this becomes harder to recognize as competitors phrase their promises in similar language; see also why competitors often sound interchangeable in their promises. The free dimension check from competitivebenchmark.net lets you name what you think you are winning on and shows which of those claims can be defended with evidence. The full benchmark, with the comparison against your peer group and an evidence matrix per dimension, is under construction.