6 min read
Google Cloud is preparing to push AI tools into more than 300 companies through a new partnership with Swedish private equity firm EQT. The deal could affect businesses across healthcare, enterprise software, cybersecurity, and several other industries.
The partnership gives EQT portfolio companies access to products like the Gemini Enterprise Agent platform, along with Google Cloud cybersecurity services. Some firms will also get early access to future AI products before broader commercial launches.
Unlike a single-company deployment, this agreement is designed to reach more than 300 EQT portfolio companies through one portfolio-wide partnership.
That gives Google Cloud a broader enterprise distribution channel while giving EQT-backed businesses streamlined access to AI tools, engineering support, and related expertise.
The companies said Google engineers will work alongside EQT’s AI transformation team, which currently includes about 35 people. That hands-on approach could help businesses move faster than companies trying to build AI systems on their own.

EQT and its companies will also gain access to Google Cloud’s wider partner ecosystem. That network includes more than 330,000 specialists connected to consulting firms such as Accenture, Deloitte, and KPMG.
Private equity firms are increasingly treating AI as a long-term business strategy instead of just another software upgrade. Investors now see automation, AI agents, and cybersecurity systems as tools that can improve efficiency and raise company valuations.
Google recently signed similar AI deployment agreements with Vista Equity Partners and Thoma Bravo. Those deals focused on software-heavy investment portfolios where AI products can spread quickly across multiple businesses.
Big AI companies are no longer only competing for consumers using chatbots or image generators. They are now fighting to become the default infrastructure provider for entire industries and investment groups.
That is partly why firms like OpenAI and Anthropic are also forming relationships with large investment companies, including Blackstone and TPG. These partnerships give AI developers a way to distribute products to hundreds of organizations through a single agreement.
Another major part of the deal could help some EQT-backed software companies sell their own products through Google Cloud’s online marketplace. That creates a potential growth opportunity beyond internal AI adoption.
Instead of simply using Google’s technology, some companies may eventually become sellers inside Google’s broader cloud ecosystem. That could help smaller software firms reach customers they may not have accessed independently.
The Reuters report noted that demand for engineers and consultants capable of deploying AI systems has surged. Many companies want AI tools, but they often lack teams capable of customizing and safely implementing them.
That shortage is one reason partnerships like this are becoming more valuable. Businesses increasingly want packaged support systems that combine cloud infrastructure, consulting expertise, and AI products under one arrangement.
Little-known fact: Google Cloud now accounts for roughly 18% of Alphabet’s overall business, showing how AI demand has transformed a division that once played a much smaller role inside the company.
EQT’s portfolio includes businesses across multiple sectors, but enterprise software and healthcare may see some of the fastest AI adoption. Both industries already depend heavily on data analysis, automation, and workflow management.
AI tools can help software firms build products faster while helping healthcare companies process large volumes of information more efficiently. Cybersecurity products are also likely to become a major focus as AI adoption expands.
Google has spent years building AI systems, but the company is now aggressively trying to turn those technologies into enterprise revenue. Partnerships with investment firms help Google compete more directly against Microsoft, OpenAI, and Amazon in the corporate AI race.
The company is also betting that businesses want AI integrated directly into the cloud platforms they already use. That makes cloud partnerships increasingly important as companies decide where to build future AI operations.
Bert Janssens, EQT’s co-head of private capital in Europe and North America, said the partnership would help management teams “future-proof” their businesses. The comment reflects growing pressure on companies to prove they are adapting to an AI-driven economy.
Executives across industries now face investor questions about automation, AI efficiency, and long-term competitiveness. For many firms, standing still on AI is starting to look like a business risk.
This deal also highlights how AI adoption is moving beyond experimental use cases. Instead of isolated pilots, investment firms now want coordinated AI rollouts across entire groups of companies.
That shift could accelerate AI adoption by giving technology companies access to many portfolio businesses through a single investment-firm relationship. Large investment firms can offer tech companies a powerful distribution channel across hundreds of organizations.
Little-known fact: Google Cloud revenue jumped 63% to $20 billion in the first quarter of 2026, marking the division’s fastest growth rate since Google began separately reporting the business in 2020.
Cloud companies once competed mainly on storage, computing power, and pricing. Now the competition increasingly revolves around AI ecosystems, enterprise agents, automation tools, and consulting networks.

The EQT partnership shows how cloud providers are trying to become deeply embedded in long-term business operations. Winning those relationships early could shape which AI platforms dominate enterprise markets over the next decade.
Unlike flashy consumer AI launches, partnerships like this often happen quietly behind the scenes. Yet they may end up having a larger economic impact because they influence how hundreds of businesses operate at once.
As more investment firms strike similar agreements, AI adoption could spread through industries far faster than individual companies could achieve alone. The race is no longer just about building the smartest AI model, but also about finding the fastest path into real businesses.
This article was made with AI assistance and human editing.
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