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A surge in the advancement of artificial intelligence (AI) and its potential applications has led to a related increase in the number of companies that are interested in incorporating AI into their operations, whether by procuring AI as a product or service or through the acquisition of businesses which are involved in developing, or supporting the development of, AI solutions.

M&A activity

Boosting AI capabilities through strategic consolidations was central to three of the largest tech deals of 2024:

  • Synopsys’s $35 billion acquisition of Ansys, a leader in AI-augmented simulation software – a growing field that enables businesses to analyse and simulate engineered parts before manufacturing;
  • Cisco's $28 billion acquisition of Splunk, aimed at creating a robust AI-powered platform to enhance visibility and insights across digital footprints; and
  • Hewlett Packard's $14 billion acquisition of Juniper Networks, expanding its AI-enabled network offerings by acquiring technology for faster server communication.

However, while large deals like these, and tech giants such as Apple, Microsoft, Alphabet, Amazon, Nvidia, Tesla and Meta, are driving dealmaking in the AI sector to new heights, activity levels are also being boosted by companies in various sectors looking to incorporate AI into their operations. In an area where internal innovation is restrained by factors such as cost and availability of skilled specialists, M&A offers a speedier route to bolstering technical capabilities.

Drivers of M&A in the AI sector include obtaining access to cutting edge technology, the acquisition of data and/or talent, and strategic positioning.

Regulatory landscape

The rapid advancement of AI gives rise to an array of legal risks and issues, a number of which flow from the legal and regulatory landscape being in flux as it catches up with the new challenges posed by developments in AI.

A significant regulatory regime to watch is the EU AI Act, which will begin to apply incrementally over the coming years. The ESG (climate) implications of the high use of energy involved in data processing for AI activities is likely to receive closer regulatory attention. It is also crucial to stay updated on changes to the legal framework relating to the protection of outputs generated by AI.

In an area where internal innovation is restrained by factors such as cost and availability of skilled specialists, M&A offers a speedier route to bolstering technical capabilities.

Deal features

Whilst acquiring an AI company is in many ways the same as any other M&A transaction, the fact that the target's business is (or has) AI means that they have some more unusual or nuanced characteristics:

  • Due diligence and warranties – It will be important to understand the intellectual property rights associated with the AI model, and to focus on the policies and procedures that are in place for testing the performance and reliability of the AI system, as well as the quality of the data that the models are programmed to use. Appropriately tailored warranties can help allocate/mitigate risk.
  • Merger control – A common concern among competition authorities is the market becoming closed to competition, with significant positions of market power and barriers to entry due to the concentration of data, computational resources and engineering talent among a small number of vertically integrated players. Competition authorities will be sensitive to increased concentration in the AI sector and therefore may be expected to carefully scrutinise such transactions.
  • Foreign direct investment (FDI) – AI is captured by many FDI regimes globally, as it is increasingly regarded as a technology of critical or strategic importance. Given increasingly interventionist attitudes in this area and the proliferation of global FDI regimes, multiple filings may be required if the target is active in more than one jurisdiction. Purchasers should therefore seek to evaluate early whether the transaction is likely to require FDI clearance.
  • Compliance – AI regulation is an area that is rapidly evolving and determining which legislative and regulatory frameworks impact the target will be a critical element of legal due diligence. Where the target business has a presence in more than one jurisdiction, multiple regulatory regimes may apply. Establishing that the policies and procedures of the target provide sufficient flexibility to adapt to the changing legislative and regulatory landscape will be just as important as determining historic compliance with such regimes.

Outlook for 2025

As AI continues to make headline news on a regular basis, it is likely that M&A activity in the sector will likely continue apace. It will be important for parties to monitor regulatory developments and ensure that they and any target business are compliant as the regulatory frameworks evolve, given that this is a key area of focus for regulators around the world.

For more information, including for example some sample due diligence questions and how risks that are identified as part of the due diligence can be mitigated, look out for our detailed guide which will follow soon.

Key contacts

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Faria Ali

Senior Associate, London

Faria Ali
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Roddy Martin

Partner, Global Head of Automotive, Co-Head of India Practice, London

Roddy Martin
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Dr Morris Schonberg

Partner, Brussels

Dr Morris Schonberg
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Alexander Amato-Cravero

Director, Emerging Technology (Advisory), London

Alexander Amato-Cravero

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Mergers and Acquisitions Deals AI and Emerging Technologies Faria Ali Roddy Martin Dr Morris Schonberg Alexander Amato-Cravero