At first glance, it's a reasonable question.
If AI can review thousands of resumes in minutes, identify patterns in successful candidates and even predict who might be the best fit for a role, why would an organisation still invest in a behavioral assessment?
I actually think that question reveals one of the biggest misconceptions about AI in hiring.
The assumption is that AI somehow replaces behavioral science.
I believe the opposite is happening.
AI isn't reducing the importance of behavioral assessments.
It's making them significantly more valuable.
The reason is surprisingly simple.
AI is only as good as the data it's given.
Recruitment has always been about making decisions with imperfect information.
A candidate submits a resume that tells you where they've worked.
They write a cover letter that explains why they're interested in the role.
You interview them, ask some competency questions and hopefully begin to understand whether they'll be successful in your organisation.
None of that is new.
What's changed is the amount of information available to us.
Today, AI can summarise resumes in seconds. It can compare candidates against job descriptions. It can analyse interview transcripts, identify keywords and even help recruiters write better interview questions.
Those are remarkable advances, and they're making recruitment more efficient than ever before.
But efficiency isn't the same as understanding.
Just because AI can process more information doesn't mean it truly understands the person sitting on the other side of the interview table.
That's where behavioral science still has a critical role to play.
One of the things I often say during hiring workshops is that a resume tells you where someone has been.
An interview tells you how well they can tell their story.
Neither of those things necessarily tells you how they'll behave once they join your organisation.
Will they naturally enjoy working in a highly structured environment?
Will they thrive in ambiguity?
How much autonomy do they need before they become frustrated?
How quickly are they likely to make decisions?
How comfortable are they influencing others?
How much collaboration do they naturally seek?
Those aren't questions that AI can confidently answer simply by analysing a CV.
They're questions about human behaviour.
And behaviour remains one of the strongest predictors of workplace success.
In fact, I'd argue AI has made trusted behavioral data more important than ever.
Think about it for a moment.
When ChatGPT writes an answer, it's drawing on the information available to it.
When Copilot summarises a meeting, it's using the transcript.
When an AI recruiting platform ranks candidates, it's analysing the data it has been given.
The quality of the output depends entirely on the quality of the input.
That's true for every AI system.
So if organisations want AI to help make better hiring decisions, shouldn't we be giving it better information?
That's exactly where validated behavioral assessments come in.
Rather than asking AI to guess how somebody might behave based on a resume or interview transcript, we're providing it with scientifically validated behavioural data that has been designed specifically to understand workplace behaviour.
That's a completely different level of insight.
This is where I believe the conversation becomes much more interesting.
For years we've thought about behavioral assessments as a destination.
Someone completed an assessment.
A report was generated.
The report was discussed.
Then everyone moved on.
I don't think that's the future.
I think assessments become the foundation for something much bigger.
Behavioral Intelligence.
To me, Behavioral Intelligence is what happens when trusted behavioral science is combined with AI and organizational context.
Instead of simply describing how someone is naturally wired, behavioral data becomes something managers can use every day.
It becomes part of the interviews.
Part of onboarding.
Part of coaching.
Part of leadership.
Part of performance conversations.
Part of succession planning.
The assessment doesn't become less important.
It becomes infinitely more useful.
One of the biggest mistakes organizations make is treating hiring as a single event.
It's not.
Hiring is the beginning of a relationship.
Yet most organizations stop using behavioral data almost immediately after someone accepts the offer.
Imagine buying a GPS for an important journey, using it to leave your driveway and then switching it off for the rest of the trip.
That's effectively what we've been doing with behavioral assessments.
We've been collecting incredibly valuable behavioral data and then leaving it behind just when it could have the greatest impact.
The best hiring decisions don't end with selecting the right candidate.
They continue through onboarding, coaching, leadership development, and career growth.
That's exactly where Behavioral Intelligence begins.
There's another aspect of AI that I don't think gets enough attention.
Trust.
Every week I hear stories of managers copying performance reviews into ChatGPT.
Uploading employee feedback.
Pasting engagement survey comments into AI tools.
They're doing it with good intentions because they genuinely want to become better leaders.
But behavioral data is sensitive.
Employee information is sensitive.
Organizations have legal, ethical and governance responsibilities that can't simply be ignored because AI is convenient.
The future won't belong to organizations using the most AI.
It will belong to organizations using AI responsibly.
That means building Behavioral Intelligence on trusted data, clear governance and validated science—not on guesswork or information copied into public AI models.
This is why I've become so excited about Predictive Index Obi.
Not because it's another AI assistant.
There are hundreds of AI assistants.
What makes Obi different is that it starts with trusted behavioral data rather than generic prompts.
Imagine you're preparing to interview a finalist for a leadership role.
Instead of asking AI, "What questions should I ask?", Obi can help you understand how to explore that individual's behavioral strengths, potential risks and management needs based on validated workplace data.
Or perhaps you've just hired someone.
Instead of filing away their assessment report, Obi helps you prepare for your first one-to-one, understand what motivates them, identify how they prefer to receive feedback, and tailor your leadership approach from day one.
That's not replacing behavioral assessments.
That's finally operationalizing them.
That's Behavioral Intelligence.
I know that probably sounds strange coming from someone writing about AI.
But I genuinely don't believe the future of hiring is AI.
The future of hiring is better decisions.
AI is simply one of the tools helping us get there.
The organizations that outperform everyone else won't necessarily have the most sophisticated AI.
They'll have the best data.
The best behavioral insight.
The strongest governance.
And the ability to apply all of that knowledge consistently throughout the employee lifecycle.
That's a very different conversation from simply asking whether AI can screen resumes faster.
So, do behavioral assessments still matter in an AI hiring world?
Absolutely.
In fact, I'd argue they matter more than ever.
Because AI doesn't remove the need to understand people.
It increases the value of understanding them properly.
For decades, behavioral assessments have helped organizations understand how people are naturally wired.
The next decade belongs to organizations that can apply that understanding in real time, at scale and in the moments that matter most.
That's why I believe we're moving beyond behavioral assessments alone.
We're entering the age of Behavioral Intelligence.
And that's a future I'm incredibly excited to be part of.