The 2 Biggest Pricing Trends Right Now

The FIFA World Cup has kicked off in North America and the attorney general is already involved. Ticket prices surged 34% overnight. Seat maps got redrawn. Fans are furious. It sounds like a pricing scandal. But is it?

In the Season 3 finale of The Pricing Guys podcast, Michael and Avy use the FIFA situation as a jumping-off point for a bigger conversation about the two pricing trends reshaping how companies compete right now: AI-powered dynamic pricing and the rising demand for transparency.

Key Takeaways

• Dynamic pricing is economically defensible in many cases, but execution and communication matter as much as the math.
• AI-powered dynamic pricing is the trend everyone wants. Few companies are actually executing it properly.
• Buyers across every industry are demanding greater transparency into how prices are set and why they change.
• The most sophisticated pricing strategy falls apart the moment your sales team cannot explain it.
• Pricing and communication are not separate problems. They are the same problem.

Is FIFA’s Dynamic Pricing a Scandal or Just the Market Working?

When World Cup ticket prices jumped 34% overnight, the headlines framed it as exploitation. But the economic case for what FIFA did is harder to argue against than the outrage suggests.

Demand for World Cup tickets is extraordinary. Supply is fixed. When those two conditions exist, prices adjusting upward is exactly what markets are designed to do. The alternative, holding prices artificially low, does not make tickets more accessible. It makes them more valuable to whoever gets them first, which tends to benefit brokers and insiders rather than genuine fans.

That does not mean FIFA’s execution was clean. The complaint is not just about the price increase. It is about the lack of warning, the seat map changes, and the absence of any explanation to buyers who had already made plans. The mechanics of dynamic pricing were sound. The communication around it was not.

This distinction matters for any company considering dynamic pricing models. The logic of the price is not enough. The buyer has to be able to follow it.

AI-Powered Dynamic Pricing: The Gap Between Ambition and Execution

AI-powered dynamic pricing is one of the most discussed topics in pricing right now. It is also one of the most misunderstood.

The promise is real. Companies that can monitor demand signals in real time, adjust prices algorithmically, and optimize across customer segments have a structural advantage over those relying on annual pricing reviews and static price lists. The technology to do this exists, and it is becoming more accessible.

The problem is that most companies pursuing dynamic pricing are not ready to execute it properly. Effective AI-powered pricing requires clean and comprehensive transaction data, a pricing architecture that can actually change at the speed the algorithm demands, and a sales and customer service team that can explain the resulting prices to buyers. Most organizations are missing at least one of those three. Many are missing all three.

The companies getting this right are not starting with the AI. They are starting with the data. They are building a pricing structure with enough flexibility to absorb dynamic inputs. They are training commercial teams to handle pricing conversations with customers who are increasingly informed and increasingly skeptical. The technology is the last piece, not the first.

Deploying an AI pricing engine on top of a fragmented data environment and an undertrained sales team does not produce dynamic pricing. It produces noise.

Pricing Transparency: How Buyer Expectations Are Changing

The demand for pricing transparency is not limited to consumer outrage over concert tickets or FIFA. It is changing the buyer-seller relationship across industries, from B2B manufacturing to software to professional services.

Buyers today have more information than they have ever had. Procurement teams are more sophisticated. Market intelligence is more accessible. The result is that buyers are less willing to accept pricing they cannot understand, and more willing to push back when something does not add up.

This creates a specific challenge for companies deploying complex pricing models. When prices are set algorithmically, or when the logic behind a price involves multiple variables, the gap between what the company knows and what the buyer knows widens. That gap generates friction. It undermines trust. And in competitive markets, it drives buyers toward suppliers whose pricing they can follow.

The answer is not to simplify pricing to the point of leaving money on the table. It is to invest in the communication layer with the same rigor applied to the pricing model itself. That means giving sales teams the tools, language, and confidence to explain prices clearly. It means proactively sharing the logic behind price changes rather than waiting for buyers to ask. And it means treating transparency as a commercial asset rather than a compliance obligation.

The Execution Problem Nobody Talks About

There is a pattern that appears across companies struggling with pricing performance. The strategy is well designed. The analysis is solid. The price points are defensible. But results are disappointing because the people responsible for holding those prices in live commercial situations are not equipped to do it.

This is the execution problem. And it is more common than most pricing leaders want to admit.

A salesperson facing a buyer who pushes back on price has a choice. They can defend the price or they can give ground. Without a clear explanation of why the price is what it is, and without confidence in the value story behind it, most salespeople will give ground. Not because they want to, but because they have nothing else to offer in that moment.

Dynamic pricing makes this problem worse. If prices are changing based on real-time signals, and the salesperson does not know why the price changed or how to explain it, the conversation with the buyer becomes impossible to navigate. The pricing model becomes a liability rather than an advantage.

The fix is not complicated but it does require deliberate investment. Sales teams need to understand the pricing logic well enough to explain it. They need to be trained on the specific objections they will face. They need materials and frameworks that help them move the conversation from price to value. And they need to know where the floors are so they are not making decisions in real time that undermine the strategy.

Pricing capability is not just a strategy and analytics function. It is a commercial execution function. Companies that treat it that way outperform those that do not.

What This Means for Pricing Leaders

The FIFA story is a useful case study precisely because it sits at the intersection of both trends. A defensible dynamic pricing decision that generated a significant backlash because the communication and execution were not aligned with the model.

For companies building or refining pricing capabilities right now, these two trends point to the same underlying requirement: pricing and communication have to be developed together. The model without the communication layer fails in the market. The communication without the model leaves margin on the table.

AI-powered dynamic pricing will continue to become more accessible and more common. Buyer expectations around transparency will continue to rise. The companies that get ahead of both will not be the ones with the most sophisticated algorithms. They will be the ones that can execute on the logic, explain it clearly, and hold it under pressure.