Two Things Are True About AI Right Now
Both of these statements are correct. Most takes out there today flatten them into one without the other, however. Either AI is the apocalypse, or AI is a fancier search bar. The interesting work, and the real opportunity for marketing and business teams, sits in holding space for both at the same time.
The Replacement Is Real
Saying AI won't replace any jobs isn't honest. Stanford research using ADP payroll data found a roughly 13% relative employment decline for workers aged 22-25 in the most AI-exposed occupations between late 2022 and mid-2025, concentrated in roles where the work was already routine and codifiable. That's a real shift, and most of it is happening at the entry level where tasks are easiest to hand off to a model.
The mistake is reading that as the whole story. It isn't.
The Multiplier Is Bigger
The other half of the story is what AI is doing for the people still in their jobs. Microsoft's 2024 Work Trend Index found that 75% of knowledge workers globally already use AI at work, and 90% of users say it saves them time. That isn't a story about replacement. It's a story about people getting through their work faster and spending the saved hours on something better.
The teams pulling ahead are the ones turning that saved time into sharper thinking, not just more output.
Humans-With-AI vs. Humans-Without-AI
The real split isn't AI vs. humans. It's humans-with-AI vs. humans-without-AI.
We see this every day in our customer data work. A non-negotiable of our roles today is keeping client data clean enough to make decisions on. Garbage in, garbage out has been a marketing truism for decades, and AI doesn't fix it - it just makes it worse faster if you aren't paying attention.
So, we use AI to monitor data quality in real time. Models learn what normal looks like for each client's feeds, and they flag the moment something drifts. A field that should always populate goes blank. A revenue figure from a checkout integration jumps tenfold overnight. We get the alert before that bad data lands in a dashboard or pulls a campaign in the wrong direction.
That work used to be a person scanning reports each morning, hoping to catch it. Now it's caught while they sleep, and that person spends their day on the better question: “What is the data telling us, and what do we do about it?”
How We Think About It at Morning Walk
AI is in a lot of our workflows. But the be clear, it isn't running any of them.
That distinction matters. We use AI to compress research that used to take days into hours. To draft, to test, to iterate faster. To surface patterns in performance data that a junior analyst would have spent a week digging up. The judgment, the strategy, the relationship, the brand call still belongs to people. AI simply clears the noise so we can spend more time on the parts of the job that actually move a client's business.
AI doesn't replace the toolkit. It joins it. The teams figuring that out keep getting sharper. The ones waiting for clarity keep falling behind.
Let's Talk
If this is how you're thinking about AI, or if you'd like it to be, shoot me a note on LinkedIn. Let's grab a coffee and talk about how MW AI can make you indispensable.
About Steven Wroblewski
Steven has a decade of experience working at agencies and Fortune 500 brands such as Kohl's and Colgate-Palmolive. Bridging the gap between marketing technology and business use cases, Steven has found the sweet spot in helping brands make sense of their data & how to act upon it through customer-focused marketing strategies. He is fluent in three languages: marketing, IT & data, which makes him a valuable partner to any organization. Steven leads the analytics & customer data program offering at Morning Walk for all clients, including Kalahari Resorts, OPTIMA Batteries, and BOSS Snowplows. When he is not walking the talk on the job, Steven can be found working on side hustles and baking fabulous sourdough pizzas.
Brynjolfsson, Chandar & Chen (Stanford, 2025) - 13% relative employment decline for workers aged 22-25 in the most AI-exposed occupations. Cited in Microsoft's New Future of Work Report 2025. - https://www.microsoft.com/en-us/research/wp-content/uploads/2025/12/New-Future-Of-Work-Report-2025.pdf
Stat used in 'The Multiplier' section (both options):
Microsoft & LinkedIn 2024 Work Trend Index - 75% of global knowledge workers use AI at work; 90% of users say it saves them time. - https://www.microsoft.com/en-us/worklab/work-trend-index/ai-at-work-is-here-now-comes-the-hard-part
