From the Front Row: PPC Live 2026

The Future Is Here: What PPC Practitioners Need to Know About AI, Automation and the Changing Role of Paid Search

PPC Live #21 was called The Future Is Here, which was a pretty fitting title for the afternoon.

Most of the conversations were not about what paid search might look like five years from now. They were about what is already changing today. AI is becoming part of everyday campaign management, search is moving beyond traditional keywords, programmatic is playing a bigger role in creating demand, and more of the repetitive work that used to take hours can now be done in minutes.

But despite all the talk of AI and automation, the biggest takeaway was not that people are becoming less important. If anything, the opposite is true.

The role of the PPC practitioner is shifting. There is less value in simply knowing which buttons to press and more value in knowing what the business is actually trying to achieve, where the data can be misleading, and when automation needs more direction.

That came through in all four talks.

 

1. The PPC Role Is Moving from Campaign Operator to Business Translator

Paid search has changed a lot over the years. Manual bidding has become Smart Bidding, standard ads have become responsive ads, and campaigns now rely far more heavily on automation, audience signals and machine learning.

What has not changed is the basic job: solve the problem.

One of the strongest points from the event was that PPC specialists should not define their role around a particular process or platform feature. A Search Query Report, for example, is not the end goal. It is just one way of checking whether activity is relevant. As more of that work becomes automated, the focus needs to move from carrying out the process to understanding what problem the process was there to solve in the first place.

That could mean tightening URL controls, using page feeds, improving conversion signals or finding better ways to group and understand search terms. The tools may change, but the question stays the same: is the activity helping the business achieve the right outcome?

This becomes especially important when the brief is something vague like “we need more leads”. More leads might not actually be the answer. The real issue could be poor lead quality, limited appointment capacity or a sales team being fed the wrong type of enquiry.

The examples shared during the session showed how much more useful PPC can become when the problem is reframed properly. In different cases, that led to a 23% increase in estimated lead value, 60% more leads and a 31% increase in desired bookings.

ShoppingIQ Perspective

As more platform work becomes automated, the value of PPC support will come less from doing more tasks and more from asking better questions. The strongest teams will be the ones that can connect campaign activity back to stock, margin, customer quality and wider commercial priorities.

 

2. Search Performance Starts Before the Search

Another strong theme from the day was that search does not happen in isolation.

Paid search is excellent at capturing intent once it exists, but it does not always create that intent. The session framed this as a small group of active searchers surrounded by a much larger group of people who are not yet in-market. A search-only strategy will naturally focus on the people who are already looking.

That is where upper-funnel activity comes in.

Programmatic, video and other earlier touchpoints can help build familiarity before someone reaches the search stage. The idea is simple: when people eventually have a need, they are more likely to recognise and search for a brand they have already seen.

The framework shared at the event focused on three things: using high-intent search data to build audiences, making sure the creative is actually seen and remembered, and then giving people a clear reason to search later.

The difficult part is measurement. If programmatic is judged only on the sales it gets credited with directly, a lot of its value can disappear from the report. The more useful question is whether it increased branded search, improved organic activity or made paid search more efficient further down the journey. The session grouped this into three areas: attention, incrementality and the Search Halo.

One example showed product-name searches up 30%, organic clicks up 14%, paid-search click-through rate up 6%, conversion rate up 18% and CPA down 16% after programmatic video activity.

ShoppingIQ Perspective

Search performance can often be influenced long before someone types a query into Google. Retailers should be looking at how video, display, social and retail media support the demand that paid search eventually captures, rather than forcing every channel to prove itself in isolation.

 

3. Automation Needs Guardrails Before It Needs Scale

The discussion around AI Max was probably the clearest reminder that new does not always mean better by default.

AI Max brings together broader search matching, Final URL Expansion, text customisation and brand controls, but it is not a simple replacement for Dynamic Search Ads. It works differently and gives the platform more freedom, which means advertisers need to be clear about what they are comfortable giving up.

One of the more useful parts of the session was the contrast between headline platform claims and independent testing. Google’s messaging pointed to more conversions at a similar CPA, while other data shared in the talk showed CPA increasing and only a relatively small percentage of campaigns hitting their ROAS target.

The “algorithmic hangover” example made the risk easy to understand. In one account, AI Max brought in far more clicks at a much lower CPC, but conversions fell and cost per lead rose sharply. Even after it was switched off, the account continued to chase cheaper, lower-quality traffic because that behaviour had already been learned.

That is the danger of looking at cheaper clicks and assuming performance has improved. In B2B and lead generation especially, more traffic can easily mean more of the wrong traffic.

The practical advice was straightforward: clean up conversion tracking, remove old keyword structures, protect negative keyword lists, control Final URL Expansion, review AI-generated assets and test before committing.

ShoppingIQ Perspective

Automation should be introduced carefully, especially in accounts that are already performing well. Give the platform good data, clear boundaries and a proper test before expanding it further. If poor-quality traffic is being treated as success, automation will simply find more of it faster.

 

4. AI Should Accelerate Judgement, Not Replace It

The final talk brought the AI conversation down to a very practical level: how can AI actually help with day-to-day PPC work?

The most useful way to think about it was this: AI is the analyst, the practitioner is still the pilot. It can read data, spot patterns and draft recommendations, but the human still decides what changes should actually happen.

Three levels of setup were shown, from simply uploading a CSV, to using Google Ads Scripts, through to connecting live account data via MCP and the Google Ads API. The more advanced the setup, the less manual work is needed and the fresher the data becomes.

In practice, this can help with weekly audits, search-term reviews, ad copy, budget modelling, benchmarking and reporting.

The time-saving potential was one of the clearest benefits. The examples shared included cutting a 20-minute audit to 90 seconds and reducing several hours of reporting to seconds.

But the warning was just as important. AI can be fast and still be wrong. It does not know the business, the margins or the wider context unless someone gives it that information. That is why the safest approach is to keep it read-only to begin with, check its outputs, approve changes manually and keep strategy firmly with the human.

ShoppingIQ Perspective

The best use of AI is to remove repetitive work and give teams more time to think. It should make analysis faster, not make judgement optional. The value still comes from knowing what matters, what does not and what the account should do next.

 

The Future of PPC Is Human-Led and AI-Enabled

By the end of the afternoon, the overall message was pretty clear. PPC is changing quickly, but the role is not disappearing. It is moving further away from platform administration and closer to commercial thinking.

The people who will be most valuable are not necessarily the ones who know every setting inside Google Ads. They will be the ones who can understand the bigger picture, ask better questions, challenge bad signals and use automation without handing over control completely.

Platforms can optimise towards the goal you give them, but they cannot always tell you whether that goal is the right one. AI can find patterns quickly, but it still needs context. Automation can save time, but it still needs direction.

That is where the human part of PPC still matters.

 

Key Takeaways

• Focus on the business problem, not just the platform task.

• Look at what happens before the search, not only what happens after it.

• Put proper controls in place before expanding automation.

• Test AI Max rather than assuming it will improve performance.

• Use AI to speed up analysis, but keep strategy and approval with people.

• Measure success against real commercial outcomes, not just cheaper clicks.

At ShoppingIQ, a lot of this mirrors what we see across Google Shopping, paid search and ecommerce optimisation. The tools are getting more powerful, but they still work best when they are guided by good data, clear objectives and people who understand the business.

The future is here. The interesting part is what we choose to do with it.