Internal teams cannot replicate specialized technology, data moats, and domain expertise fast enough to stay competitive.
Six Point Ventures is a first check conviction fund investing in vertical ai at pre/seed
2025 has already made one thing clear…. Enterprises are no longer debating whether to build internally or buy externally. They are buying because building is no longer viable at the speed, depth, and specialization the market now demands.
In 2025 TYDwell over $100B has already been committed to tech M&A, almost entirely focused on AI, cybersecurity, infrastructure, developer tools, fintech, and deep vertical software. This isn’t opportunistic deal-making. It’s defensive and strategic.
OpenAI → io Products— ~$6.5B — AI-native consumer hardware and interface platform (May 2025)
OpenAI → Statsig— ~$1.1B — product experimentation and feature rollout analytics (Sept 2025)
Cognition AI → Windsurf— undisclosed — AI-first developer IDE and coding environment (July 2025)
IBM → Seek AI— undisclosed — enterprise AI data query and analytics platform (2025)
Google (Alphabet) → Wiz— ~$32B — cloud-native security posture and risk management platform (March 2025)
Check Point → Veriti— ~$100M+ — automated threat exposure and remediation platform (2025)
Munich Re / ERGO → NEXT Insurance— ~$2.6B — digital SMB insurance underwriting and platform (March–July 2025)
Xero → Melio— ~$2.5B upfront, up to ~$3B total — SMB payments and accounts payable automation (June 2025)
Qualcomm → Alphawave— ~$2.4B — high-speed connectivity and silicon IP (2025)
Qualcomm → Ventana Micro Systems— undisclosed — RISC-V and CPU design (2025)
Qualcomm → Autotalks— undisclosed — vehicle-to-everything (V2X) communications chips (2025)
Qualcomm → Arduino— undisclosed — embedded hardware and developer ecosystem (2025)
IonQ → Oxford Ionics— ~$1.075B — trapped-ion quantum computing systems (2025)
IonQ → Vector Atomic— ~$250M — quantum sensing and timing technology (2025)
IonQ → ID Quantique— undisclosed — quantum-safe encryption and random number generation (2025)
Meta → Scale AI (49% stake)— ~$14.8B implied — AI data labeling and training infrastructure (June 2025)
This wave isn’t about talent shortages alone. It’s structural.
Modern AI-driven systems require:
Proprietarydata access and labeling
Production-gradeplatform maturity
Teams with themotivation and velocityof founders, not internal roadmaps
Enterprises struggle with all four simultaneously.
Internal teams are optimized for stability, risk management, and incremental progress. The next generation of AI-native products requires speed, experimentation, and vertical depth. Those qualities rarely exist inside large organizations at scale.
This acquisition cycle is highly selective.
Enterprises are not buying generic AI.
They are buyingspecific teams solving specific problems in specific industries.
Vertical-specific workflows embedded in real operations
Proprietary data pipelines others can’t recreate
AI systems trained on domain-unique edge cases
Teams that already understand regulatory, operational, and customer nuance
Horizontal tools face brutal competition
Workflow ownership beats feature velocity
Distribution inside an industry matters more than model sophistication
Capital is flowing toward companies that represent:
Shortcuts to capability for incumbents
Defensible positions built on expertise and data
Strategic leverage, not just ARR growth
The winners in this market are not “AI wrappers.”
They areinfrastructure and workflow systems enterprises cannot afford to rebuild from scratch.
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Over the next year, Roku predicts that 100% of the streaming audience will see ads. For growth marketers in 2026, CTV will remain an important “safe space” as AI creates widespread disruption in the search and social channels. Plus, easier access to self-serve CTV ad buying tools and targeting options will lead to a surge in locally-targeted streaming campaigns.
Readour guideto find out why growth marketers should make sure CTV is part of their 2026 media mix.
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