CoreWeave-Core Scientific $9B Buy & Capgemini-WNS $3.3B Buy Comes Amid AI Woes

Artificial intelligence (AI) technology has been around for a few years now, but the last couple of years have seen its popularity and adoption increase at unprecedented rates.

A large part of this is down to the emergence of OpenAI’s generative artificial intelligence (GenAI) chatbot ChatGPT in November 2022—which sparked off its own GenAI chatbot race with tech giants such as Google, Microsoft, NVIDIA, X, Amazon, and others, along with startups such as Anthropic, Perplexity, DeepSeek, etc.

Since the race began, businesses have been striving to not only integrate these chatbots into their operations but also build their own chatbots and AI platforms while pushing to leverage AI in any way possible. This strategy also includes acquiring companies that can help them reach their goals.

Here are some of the latest moves in this direction:
 

CoreWeave To Acquire Core Scientific For $9 Billion

Just under two months ago, we reported that AI cloud platform provider CoreWeave revealed plans to spend between $20 billion and $23 billion this year to boost its AI infrastructure and data center capacity. This followed the acquisition of Weights & Biases, a leading AI developer platform used to train, fine-tune, and manage models for $1.7 billion.

Now, CoreWeave has spent $9 billion, as it signed a definitive agreement to acquire Core Scientific, a leading data center infrastructure provider, in an all-stock transaction.

The deal will help the company boost its data center footprint, bringing improved workflow efficiency, cost savings, streamlined operations, better profitability, and reduced lease overhead, along with ownership of 1.3 GW of gross power across Core Scientific’s national data center footprint and an additional 1 GW+ of potential through expansions.

It also allows CoreWeave to pursue infrastructure financing strategies to finance committed capital expenditures, reducing its overall cost of capital.

The financial benefits include the immediate elimination of more than $10 billion in future lease overheads to be paid for existing contractual sites over the next 12 years, as well as $500 million of estimated fully ramped, annual run rate cost savings by the end of 2027.


“This acquisition accelerates our strategy to deploy AI and HPC workloads at scale,” said Michael Intrator, CoreWeave's CEO, Chairman of the Board, and Co-founder.

“Verticalizing the ownership of Core Scientific’s high-performance data center infrastructure enables CoreWeave to significantly enhance operating efficiency and de-risk our future expansion, solidifying our growth trajectory. Owning this foundational layer of our platform will enhance our performance and expertise as we continue helping customers unleash AI’s full potential.”

The deal is expected to close in Q4 2025 and is subject to customary closing conditions, including regulatory and Core Scientific shareholder approval.

Once successfully closed, Core Scientific stockholders will receive 0.1235 newly issued shares of CoreWeave Class A common stock for each share of Core Scientific common stock held, representing a $20.40 per share value (closing July 3, 2025), and a premium of approx. 66% to the unaffected Core Scientific closing share price of $12.30 (June 25, 2025). While the final value will be determined when the transaction closes, Core Scientific’s stockholders’ ownership of the combined company is expected to be less than 10%.
 

Capgemini To Acquire WNS For $3.3 Billion

Globally renowned business and technology transformation company Capgemini announced that it has signed a definitive agreement with leading digital-led business transformation and services company WNS to acquire the latter.

The deal spans a cash consideration of $76.50 per WNS share that totals $3.3 billion, which excludes WNS’ net financial debt and represents a premium of 28% to the last 90-day average, 27% to the last 30-day average, and 17% to the last closing share price (July 3, 2025).

To facilitate the purchase, Capgemini has secured a bridge financing of €4.0 billion ($4.7 billion), which will cover the purchase of securities for $3.3 billion, and the gross debt and other obligations of around $0.4 billion and the €0.8 billion ($0.94 billion) Capgemini bond redeemed in June 2025. Capgemini plans to refinance the bridge with available cash for around €1.0 billion ($1.17 billion) and the balance by debt issuance.

WNS is a trusted business transformation and services partner and a leader in the Digital Business Process Services (BPS) sector. The acquisition will immediately bring value creation and position Capgemini as a leader in Digital BPS and boost its ability to empower clients on their business and technology transformation journeys.

The combination will also enhance Capgemini’s ability to lead in Intelligent Operations, leveraging its investments in AI through training, offers and its 25 strategic partnerships, including Microsoft, Google, AWS, Mistral AI and NVIDIA.


“Enterprises are rapidly adopting Generative AI and Agentic AI to transform their operations end-to-end. Business Process Services will be the showcase for Agentic AI. Capgemini’s acquisition of WNS will provide the Group with the scale and vertical sector expertise to capture that rapidly emerging strategic opportunity created by the paradigm shift from traditional BPS to Agentic AI-powered Intelligent Operations,” said Aiman Ezzat, CEO of Capgemini. 

“Organizations that have already digitized are now seeking to reimagine their operating models by embedding AI at the core—shifting from automation to autonomy,” said Keshav R. Murugesh, CEO of WNS. “By combining our deep domain and process expertise with Capgemini’s global reach, cutting-edge Gen AI and Agentic AI capabilities, a robust partner ecosystem, and advanced technology platforms, we are creating a powerful proposition that accelerates enterprise reinvention.”

Earlier in the year, WNS acquired Kipi.ai, a leader in data modernization and democratization services, and was also named in TIME magazine’s list of the World’s Most Sustainable Companies 2025.
 

AI Woes

These heavy AI investments come as Microsoft said it plans to cut 4% of its workforce or around 9,000 jobs as it opts to leverage AI technology and make up for heavy AI investments it previously incurred. Furthermore, it plans to streamline its products, procedures, and roles, while reducing organizational layers with fewer managers.

“We continue to implement organizational changes necessary to best position the company and teams for success in a dynamic marketplace,” said a Microsoft spokesperson.

The move also follows a similar one the company carried out earlier this year, when 6,000 employees, including middle managers and engineering roles, were let go.

The AI-layoff bug has also hit satellite navigation and location technology company TomTom, which plans to lay off 300 workers, including those working on its app, sales, and support.

As per the company’s website, it employs 3,600 people, meaning that the layoffs represent around 8.3% of its workforce (provided the website’s number wasn’t altered to reflect the latest layoffs).

On the other hand, companies that have adopted AI tech are facing issues that question its capabilities. In call centers, AI tools that were transcribing customer audio calls into text were filled with inaccuracies, as it was unable to distinguish specific words due to the customer's accent, pronunciation, and speech speed. It also made mistakes when converting audio with a sequence of numbers, such as phone numbers.

This was noted through a study carried out by researchers from several Chinese universities and a Chinese power company.

One of the customer service representatives (CSR) in the study said, “The AI assistant isn't that smart in reality ... It gives phone numbers in bits and pieces, so I have to manually enter them.”

While such AI tools did reduce the amount of basic typing, it did add work for CSRs as it was filled with errors and redundancies.

Do you think companies investing heavily in AI technology and replacing their workforce personnel with AI tools should be more cautious about their moves?

Let us know in the comments below!