The takeaways
Ecosystems are driving strategy. Streaming, gaming, fibre, and digital infrastructure deals are converging around consumer attention, connectivity, and AI-era demand.
Software is being re-rated. Buyers are reassessing which platforms are AI-native, AI-resilient, or AI-exposed as valuations come under pressure.
Who will control the ecosystems that define the next wave of digital growth? That is the central question shaping technology, media, and telecommunications (TMT) dealmaking in the second half of 2026. AI remains the strongest force, but strategically narrow deals are no longer enough. Companies are now seeking to secure stronger positions across the AI value chain: compute, data, power, distribution, workflows, and customer access. They are doing this by combining M&A, minority investments, partnerships, joint ventures, and long-term capacity agreements.
In technology, this is widening the gap between AI-native, AI-resilient, and AI-exposed businesses. Capital is concentrating around frontier AI, digital infrastructure, and platforms with defensible data and embedded workflows, while software businesses without these characteristics face greater scrutiny around pricing, automation risk, and long-term relevance.
In entertainment and media, the same strategic logic is playing out through streaming scale, premium intellectual property (IP), gaming, adtech, and first-party data. Buyers are reassessing how content libraries, franchises, and engagement platforms can be monetised across multiple formats and revenue streams. The long-anticipated release of Grand Theft Auto VI (GTA VI) in November 2026 could redefine user engagement metrics and trigger further moves across gaming, streaming, advertising, and commerce as companies position themselves for a more interactive media landscape.
At the same time, IPO momentum is returning selectively as the capital needs of frontier AI, data infrastructure, and next-generation software begin to test the limits of private markets.
Telecom operators are also repositioning. Fibre consolidation remains important. Operators need the network architecture, capacity, and partnerships to support AI-era traffic patterns, enterprise connectivity, and data centre demand.
Together, these shifts point to a TMT deal market that is active but uneven. Capital is flowing towards assets that provide durable growth, and strategic flexibility in a more AI-enabled and infrastructure-intensive economy.
AI dealmaking has moved beyond buying AI capabilities. Increasingly, companies are using deals to secure access, influence, and optionality through the entire AI stack.
That matters because the most important AI assets are becoming too large, too capital-intensive, or too strategically important to acquire outright. With frontier AI valuations approaching levels that would challenge even the world’s largest companies, access is increasingly being secured through partnerships, minority investments, commercial agreements, and long-term capacity commitments rather than control acquisitions.
The scale of the investment required is reinforcing this shift. Alphabet, Amazon, Meta, and Microsoft are expected to spend more than $700bn in 2026 on AI infrastructure. That level of capital intensity is pushing companies to think beyond traditional M&A and to use a broader set of deal structures to gain strategic position.
Recent AI infrastructure agreements show how this is playing out. CoreWeave’s expanded agreement with Meta and its recent cloud capacity agreement with a technology-driven trading firm are not traditional investments, but they serve a similar purpose: securing access to scarce compute and shaping competitive position before bottlenecks intensify. The initial SpaceX-Cursor arrangement pointed in the same direction: infrastructure access paired with potential future M&A optionality. That optionality has now converted into an acquisition, with SpaceX announcing its purchase of Cursor following its IPO.
AI strategy is no longer simply build versus buy; it is about where to own, where to partner, and where to secure access across the AI value chain.
‘Technology companies are using all available vehicles including M&A, partnerships and long-term agreements to secure access to the compute, data, power, distribution, and customers they need to succeed in the AI era.’
Barry Jaber,Strategy&, Global Technology and Telecommunications Deals Leader, PwC UKSoftware M&A has not stopped, but the bar has moved. The key question is whether a company’s business model is AI-native, AI-resilient, or AI-exposed. AI advances are putting pressure on traditional software-as-a-service models, especially where pricing depends on seat growth, and workflows can be automated or replicated by AI agents.
As a result, buyers and lenders are scrutinising whether targets have defensible data, embedded workflows, high switching costs, and clear paths to AI-enabled monetisation. Assets that lack those characteristics may face valuation pressure or struggle to attract financing, while stronger platforms can still attract capital and investor interest.
Capital is concentrating around businesses that can either withstand AI disruption or help enterprises operationalise AI at scale. For dealmakers, the priority is to underwrite not only current growth and retention but also the durability of the software model in the AI era.
Take-privates remain an important part of the TMT deal landscape, although the broader universe of actionable public-to-private targets has narrowed and deal activity has fallen. Financing is harder to secure for assets exposed to AI disruption, pricing pressure, or workflow automation, pushing sponsors towards platforms with strong use cases and transformational potential. Hg’s $6.4bn acquisition of OneStream, an enterprise finance management platform, illustrates how public-to-private deals can still move forward when buyers see an opportunity to accelerate AI product innovation and scale a platform serving core enterprise workflows.
The chart shows how sharply the public-to-private market has reset since the first half of 2024. Deal volume briefly improved in the second half of 2025 but fell again in early 2026 across both technology and software. The software pullback has been more pronounced. The pattern points to a narrower market in which sponsors are pursuing fewer transactions, and only the strongest assets are likely to move forward.
SpaceX’s public listing, the largest ever, has shifted the IPO conversation from selective reopening to capital formation at unprecedented scale. The IPO valued SpaceX at $1.77tn, and its market capitalisation exceeded $2tn by the close of its first trading day, underscoring investor appetite for frontier AI, space-based infrastructure, and scaled technology platforms. Anthropic and OpenAI are also expected to test investor appetite for AI at scale.
That investor appetite matters because frontier AI is capital-intensive. Model training, inference, data centres and power all require sustained investment at levels private markets may struggle to support. Going public can help meet those funding needs while providing liquidity for investors and employees.
For dealmakers, the implications are mixed. Successful listings could reset valuation benchmarks and reopen liquidity for AI-adjacent assets. But they could also absorb investor capital and attention, crowding out smaller IPO candidates and diverting capital from some M&A processes.
Entertainment and media dealmaking is increasingly centred on the ability to capture, monetise, and extend consumer attention across platforms. Streaming consolidation is one of the strongest signs of this shift as companies reassess whether their content libraries, franchises, and distribution models have enough scale to compete in a more crowded market.
Gaming is becoming part of the same strategic equation. GTA VI is expected to intensify the competition for consumer time while also testing how far premium gaming IP can extend across e-commerce, creator tools, and recurring digital revenue models. That makes it relevant not only for game publishers but also for streaming platforms, media owners, and investors looking for scalable engagement assets.
‘Grand Theft Auto VI could test how far premium gaming IP can reshape consumer engagement, prompting strategic and financial buyers to reassess their place in the gaming ecosystem and explore how gaming and adjacent technologies fit into their long-term portfolio strategies.’
Bart Spiegel,Global Entertainment and Media Leader, PwC USGlobal TMT deal values rose 48% to $472bn in the first five months of 2026, while volumes declined 9% year-on-year. Technology drove the increase, accounting for 85% of TMT deal volume, 89% of deal value, and 15 of the 16 megadeals (transactions valued at more than $5bn). AI was the central driver, with significant investments made in OpenAI, Anthropic, and xAI in the first few months of the year. The largest deals remained concentrated in the Americas, which accounted for 12 megadeals, while EMEA and Asia Pacific each reported two.
Technology deal values rose 67% globally to $420bn, led by a 74% increase in the Americas despite lower volumes. EMEA values rose 89%, supported by two megadeals, while Asia Pacific was the only region to grow both value and volume, up 24% and 20%, respectively.
Entertainment and media volumes declined 15%, with values down 60% due to a large megadeal in early 2025. Telecommunications deal values increased 25% to $38bn, with growth in EMEA and Asia Pacific offsetting a 22% decline in the Americas, where the prior-year period was inflated by two megadeals.
Looking ahead, the most consequential TMT deals may not look like traditional acquisitions. Partnerships, capacity commitments, joint ventures, take-privates, and IPOs will all play a role as companies reposition for an AI-enabled, infrastructure-intensive market. Dealmakers should focus on where they need control, where access is enough, and where capital can be best deployed.