OpenAI's move to monetise ChatGPT search marks a turning point like we've seen before. From Reed's job boards to LinkedIn's premium features, every transformative platform eventually reaches the same crossroads: how to turn progress into pounds.
OpenAI has quietly launched paid search functionality in ChatGPT. For many, it was just another product update but for those paying attention, it was confirmation of what we already knew in our hearts. The free AI party is winding down.
This moment feels familiar because we've been here before. Not with AI, but with every platform that's ever disrupted an industry. The pattern is remarkably consistent:
1. Launch free to build dependency
2. Achieve critical mass
3. Start charging for what users can't live without
Sound familiar? It should.
It’s the early 2000s and Reed has revolutionised recruitment by digitising the job search process. What started as a simple online job board became the dominant force in UK recruitment.
Their genius wasn't just making job postings digital, it was recognising the exact moment when employers and recruitment agencies couldn't afford NOT to be on the platform. Once job seekers migrated online en masse, Reed had leverage in spades.
Each feature solved a problem that employers and recruitment agencies didn't know they had until Reed created it. They included premium placements, featured listings, enhanced employer profiles, analytics and applicant tracking integration.
The result? Reed didn't just monetise job postings. They monetised visibility, data and competitive advantage for both internal talent teams and recruitment businesses.
LinkedIn played an even more strategic game, building a professional network so essential that ignoring it became tantamount to career negligence.
The free version was generous enough to secure a lock in culture, where you could build a profile, connect with colleagues and follow companies. But crucially, LinkedIn always knew where the friction points were:
They monetised the platform incrementally, carefully testing what users would tolerate. Each paid tier offered just enough additional value that professionals convinced themselves it was all worth it.
By the time Microsoft acquired LinkedIn for $26.2 billion in 2016, the playbook was perfected: create dependency, then monetise the gaps between what users want and what the free tier provides.
OpenAI followed the same script as ChatGPT launched free in November 2022, instantly disrupting search, content creation, coding and countless other workflows.
Within months, it had 100 million users, and in under a year, it became embedded in daily operations for millions of professionals. Students used it for essays, marketers used it for copy, developers used it for code, and analysts used it for data interpretation.
Then came ChatGPT Plus at £16/month, promising priority access, faster responses, GPT-4 and, most importantly, the ability to keep working when free users hit rate limits.
Now, the very features that make ChatGPT competitive with Google are locked behind a paywall.
This isn't surprising; it's inevitable. OpenAI's operating costs are astronomical with its training models, as well as running inference at scale. The free tier was never sustainable; it was purely strategic.
If you're in marketing, recruitment, content or any field where AI has become embedded in your workflow, here's what you need to understand:
1. Your AI costs are about to increase significantly
The free tiers that allowed experimentation and casual use are shrinking. The features you rely on will migrate to paid plans, so budget accordingly.
2. AI tools will follow the SaaS playbook
Expect tiered pricing, per-seat licensing, SAGE-based billing and enterprise contracts. The subscription economy has a new category, and it's expensive.
3. Lock-in is happening right now
Every workflow you build around ChatGPT, Claude, Midjourney or any AI tool is creating dependency. When they raise prices (and they will), switching costs become prohibitive.
4. 'Free' alternatives will emerge...but only temporarily
Just as LinkedIn spawned competitors, paid AI will create space for new 'free' entrants. They'll follow the same cycle, which is the pattern, not the exception.
5. Strategic tool selection becomes critical
Choose AI tools based on long-term viability, not current price. Evaluate which platforms you can afford to be dependent on when they inevitably monetise.
Reed monetised job postings when employers had no alternative.
LinkedIn monetised professional networking by making absence mean career invisibility and by becoming the essential 'hunting license' for recruiters seeking top talent. Professionals paid to be visible and recruiters paid for access.
OpenAI is monetising AI capabilities that millions of users now depend on daily.
The cycle repeats because it works:
What makes this moment different isn't the strategy, it's the speed. AI adoption happened faster than job boards or social networks ever did, and the monetisation is following suit.
We're entering the era of expensive A,I and the tools that revolutionised productivity in 2023 will cost significantly more by 2026.
For businesses, this means AI expenses need line items in budgets, not just experimental spend. For individuals, it means choosing carefully which AI subscriptions genuinely improve productivity versus which are just nice-to-haves.
When ChatGPT launched in November 2022, people marvelled at the free access to powerful AI tools, much in the same way they once did at free job postings on Reed or professional networking on LinkedIn. But free is a growth strategy, not a business model.
Every transformative platform eventually reaches this moment. The moment when the architects realise they've built something people can't live without, and decide to charge accordingly. This isn't opportunism, it's Rogers' Technology Adoption Curve in action. Free access captures early adopters, mainstream adoption creates dependency, and monetisation inevitably follows once you've crossed the chasm from 'nice to have' to 'can't live without.' The pattern is predictable because human behaviour is predictable.
ChatGPT's paid search isn't a betrayal. It's a milestone. The technology has matured from experimental to essential tool, and they always come with a price tag..
The question isn't whether AI will get more expensive. It will.
The question is: which AI tools are worth paying for, and which were only valuable when they were free?
Welcome to the new era. It looks a lot like the old one, just faster. But speed without strategy is just expensive chaos. Impactful marketing in 2026 isn't about bigger budgets; it's about smarter allocation. It's about understanding where performance actually lies, not where vendors say it does and recording the right data to predict outcomes, not vanity metrics. Turning away from legacy platforms and redirecting spend into tools that demonstrably return value, whether that's AI-powered automation or hyper-targeted job boards that actually convert, is the best way forward. The winners won't be those who spend more, they'll be those who plan, measure and predict better.
Why this matters: When ChatGPT launches search ads, visibility in organic results gives you the advantage. Start optimising now while it's still early.
Need help navigating the evolving AI landscape for your marketing strategy? Get in touch with Marmalade Marketing to discuss how we can future-proof your digital approach.