PARIS, Feb 10 (Reuters) - The European Union has gone

too far with artificial intelligence regulations, making it

harder for global companies to deploy the technology in the

region, said Aiman Ezzat, chief executive of French IT

consulting group Capgemini, in an interview.

Ezzat's comments, ahead of the AI Action summit in Paris on

Monday, come amid growing frustration with EU regulations from

private players in AI and after U.S. President Donald Trump

revoked a 2023 executive order signed by Joe Biden that sought

to reduce the risks that artificial intelligence poses to

consumers, workers and national security.

The EU says its AI Act is the world's most comprehensive law

governing the use of AI, but it has been criticised by some

companies for stifling innovation.

"In Europe, we went too far and too fast on AI regulation,"

Ezzat told Reuters, adding that the absence of global standards

on regulating AI was "nightmarish".

"It's complex for us because we have to look at regulation

in every country where we operate, what we can do, what we

cannot do, and what's our responsibility as a developer," said

Ezzat.

One of Europe's biggest IT services companies, Capgemini has

partnerships with firms such as Microsoft, Google Cloud and

Amazon Web Services (AWS). Clients include Heathrow Airport and

Deutsche Telekom.

Frameworks for AI policy are expected to be among topics

under discussion by heads of state and executives from the

world's leading technology firms at the Paris summit.

Ezzat expects regulators and companies meeting at the

conference to try to come to some alignment on policy, he said.

While the EU's AI Act will take years to be fully

implemented, European data protection authorities are already

concerned that some AI actors could breach privacy laws.

Recently, the data protection bodies of half a dozen

European countries issued requests for information or started

analysis on DeepSeek.

The Chinese startup shocked industry and global markets last

month by showing it could compete with U.S. heavyweights in the

field for a fraction of the cost.

"It's a game changer, because it brings something new ...

it's more open, so you can do more with it and fine tune it much

better," Ezzat said of the Chinese firm.

However, he added that even though DeepSeek shares its

models via open source, the transparency was limited.

"Is DeepSeek completely open source? No, absolutely not," he

said, with no access to the datasets used to train the models,

for example.

Capgemini has begun discussing implementing DeepSeek's

models with clients, said Ezzat, but noted it was in the "very

early stages".