OpenAI released GPT-4 today. It's noticeably smarter than GPT-3.5. It can handle images, it passes the bar exam, it can debug code, it understands context better.
This is the moment professional services firms have been waiting for — when AI moved from "useful tool for drafting" to "actually useful for complex work."
What GPT-4 Can Do That GPT-3.5 Can't
Handle complexity: GPT-3.5 could draft emails. GPT-4 can analyze a 20-page contract and flag inconsistencies. It can understand legal context and nuance.
Maintain accuracy: GPT-3.5 would hallucinate facts. GPT-4 is more careful. Still not perfect, but dramatically better.
Pass professional exams: GPT-4 passed the bar exam (which lawyer licensing exam in the US). It didn't pass because it memorized answers. It passed because it understood the concepts.
Work across domains: You can give GPT-4 a contract, an email, a spreadsheet, and ask it to do something complex across all three. It understands the relationships.
Be more honest about uncertainty: When GPT-4 doesn't know something, it's more likely to say so instead of making something up.
These are real improvements. Not just incremental. Meaningfully better.
Why This Is an Inflection Point
With GPT-3.5, the value proposition was "faster drafting and summarization." That's useful but not transformative.
With GPT-4, the value proposition is "smarter analysis of complex documents and situations." That's different. That's the kind of work your senior people do. That's where real value lives in professional services.
A law firm partner can now use GPT-4 to help analyze a complex contract in ways that actually feel like getting smart feedback, not just a faster drafter.
An accounting practice can use GPT-4 to help flag issues in tax filings.
A consulting firm can use GPT-4 to help structure analysis.
These are serious, valuable applications. Not nice-to-haves. Real impact on how work gets done.
The Pricing Caveat
GPT-4 costs more. About 15x the price of GPT-3.5 per token. So you need to be strategic about when you use it.
But here's the thing: if you're analyzing a complex contract and GPT-4 saves you two hours of work, that's worth $30 in API costs to you.
So the cost is only a barrier if you're not using it for high-value work. For exactly the work I'm talking about, the ROI is obvious.
What Firms Should Do Now
1. Get access. OpenAI is rolling out GPT-4 to ChatGPT Plus subscribers and API users. If you have any kind of AI experimentation budget, spend it here.
2. Test it on complex problems. Give your best people access and tell them to try it on the work they actually care about. Not email drafting. Real analysis.
3. Measure the impact. Does GPT-4 actually help your senior people think better? Does it catch things they'd miss? Does it save time?
4. Build this into your AI strategy. This is no longer "should we use ChatGPT for routine work?" This is "how do we integrate better AI analysis into our core service delivery?"
The Competitive Angle
Firms that figure out how to use GPT-4 effectively on their core work will have a real advantage. Not because they'll fire people (they won't), but because their people will be more productive, more accurate, and happier.
That compounds. Better work product, higher margins, better talent attraction.
Firms that treat GPT-4 as just a faster ChatGPT will miss the real opportunity.
The Timeline
GPT-4 is available today for Plus subscribers and API users. It'll likely become more widely available over the next few months.
Google's Bard and other competitors will release improved models in response. The race is accelerating.
Your firm should be thinking about this now, not waiting six months to see if it "really works."
The Real Significance
GPT-3.5 changed the conversation from "is AI useful?" to "how do we use AI safely?"
GPT-4 changes the conversation to "how do we integrate AI into the core of how we deliver services?"
That's an inflection point. That's when something stops being a tool and starts being infrastructure.
Professional services is in that moment right now.