Why IT Consulting Stocks Are Going Down During the AI Boom

Published on May 17, 2026.

If you have been following the stock market recently, you probably noticed something strange.

The market in the United States is going up. AI hype is everywhere. Investors are optimistic about artificial intelligence, LLMs, automation, robotics, and productivity gains.

But at the same time, many large IT consulting and implementation companies are struggling in the stock market.

Companies like Accenture, CGI, Cognizant and Infosys are not benefiting from the AI wave the same way other tech companies are.

Historically, these companies usually performed well during major technology shifts.

So what is going on?

I think we are living through a major transformation in software engineering and IT services because of AI and LLMs. And honestly, I think the explanation is actually simple.

Before continuing, quick disclaimer.

I am not a financial advisor. I do not have a degree in finance or economics.

But I do have around 13 years of experience inside the IT service and implementation industry. I worked for large companies such as Booz Allen Hamilton and CGI. I participated in large enterprise global projects. I have seen how these companies operate internally.

So this article is simply my opinion based on experience from inside the industry.

First, Understand the Business Model

At the core, the business model of most large IT consulting and implementation companies is actually very simple.

They hire consultants and developers.

They bill the client for those people.

They pay the employees less than what they charge the customer.

They pocket the difference.

Of course this is an oversimplification. These companies do many other things.

But at scale, this is the engine of the business.

Once you understand this idea, what is happening today becomes much easier to understand.

AI Is Increasing Productivity Fast

We are in 2026 now.

If you are a software developer, architect, or engineer, you probably already use AI coding tools daily.

Tools like OpenAI Codex, Anthropic Claude Code, Cursor, Lovable and other AI tools have dramatically improved software development productivity.

This is no longer speculation. AI became really good at coding.

Not perfect. Far from perfect actually. That is another discussion entirely and not the topic today.

But what used to require a team of 20 developers can now realistically be done by 10 people, in my opinion. Maybe even less in some cases.

Let’s stay conservative and say 10.

Now connect this idea with the consulting business model.

If a company makes money by billing consultants, and a project now requires fewer humans, then naturally the total amount billed decreases.

A project that historically required a massive team becomes smaller. The math is not complicated.

Higher productivity means fewer billable people.

And fewer billable people means less revenue opportunity for traditional consulting IT companies.

The Counter Argument

Now, there is an obvious counter argument.

You could say:

“Yes, but AI will also increase the number of projects and opportunities.”

Meaning:

Maybe companies lose money on each individual project, but they compensate by handling more projects simultaneously.

And honestly, this argument makes sense on paper.

But from what I am observing today, this is not what is happening yet.

We have already been in this new AI-assisted development world for a while now. Maybe one or two years depending on how you measure it.

And I am simply not seeing an explosion of enterprise projects large enough to compensate for the shrinking size of traditional delivery teams.

Actually, many large consulting firms seem to be struggling to close AI deals at the scale they expected.

They are struggling to justify large traditional teams to customers. Large costs.

And honestly, some customers are starting to question the old model too.

Small Players Became Much More Dangerous

This part is important.

Traditionally, software projects were expensive and complicated.

Large enterprises needed armies of consultants, developers, project managers, analysts, architects, QA teams, offshore teams, and layers of management.

Today, AI changes the equation completely.

A smaller and more agile team can suddenly compete with much larger organizations.

A few highly skilled people with AI tools can now deliver things that previously required massive budgets.

And this trend is probably just beginning.

The competition is becoming much fiercer.

Not because small companies suddenly became smarter.

But because technology massively increased individual productivity.

The Future

Do I think companies like Accenture or Cognizant will disappear?

No. Absolutely not!

These companies are still huge organizations with strong client relationships, enterprise trust, processes, legal structures, and global delivery capabilities.

Additionally, enterprise software development is not only about writing code. Large companies still provide governance, security, compliance, offshore scale, support structures, and enterprise trust. AI does not magically remove this complexity overnight.

But do I think the old expectation of steady long-term growth still makes sense?

Honestly, I am not sure anymore.

My personal opinion is that we will probably continue seeing pressure on these companies for the next few years.

Then eventually things will stabilize. Maybe some companies adapt well. Maybe others do not.

But I personally do not think the old model of endlessly scaling by adding more billable resources will be as effective in the AI era.

What worries me more is that many of these companies do not seem to be adapting fast enough.

And again, this is not some fancy theory.

This explanation is actually very simple.

I have seen firsthand how bloated enterprise projects can become.

I have seen how expensive they get for customers.

I have seen how many layers and inefficiencies exist inside large implementations.

AI is putting pressure on all of this.

And I think the stock market is simply reacting to that reality.