The news: Apple CEO Tim Cook confirmed plans to “significantly” increase AI investments, including acquisitions. The iPhone-maker acquired seven firms this year, some focused on AI, and remains open to deals of any size to boost capabilities, per Business Insider.
“We ask ourselves whether a company can help us accelerate a road map. If they do, then we're interested,” Cook said.
The seven acquisitions signal urgency but also caution, favoring smaller, focused teams over blockbuster deals—at least for now.
Zooming out: Apple is under pressure to match rivals’ AI spending, but its $3.46 billion Q3 capital expenditure is a small fraction of Google’s ($85 billion), Meta’s ($72 billion), and Microsoft’s ($30 billion), as it prioritizes efficiency over scale.
Possibilities on the horizon:
- Apple is now “very open” to M&As regardless of target size. It could be feeling the pressure to close a major AI acquisition to make up for lost ground in AI expansion.
- Cook also emphasized a hybrid investment model, combining in-house development with partner collaborations.
- Recent reports that Apple has formed an Answers, Knowledge, and Information (AKI) team to build a ChatGPT-like app indicate internal AI projects continue.
In-house AI expansion has been lacking: Delays to its Siri AI strategy, despite two generations of iPhones compatible with AI features that never shipped, put Apple on the defensive.
- The company’s security- and privacy-focused brand identity adds a layer of complication—Apple can’t take sweeping AI risks with its products and services.
- Apple would likely have to subsidize initial AI functionality considering 50% of US smartphone users won’t pay a monthly fee for AI features (up from 45% in September 2024), per CNET.
And the pickings are growing slim: Anthropic, Perplexity, and Thinking Machines have all been floated as potential acquisition targets. However, these AI startups are all aggressively raising capital and might be opposed to a buyout.
Our take: Apple’s focus on efficiency and partnerships suggests incremental but impactful AI-driven tools will emerge, especially around privacy-first and device-dependent personalization.
Prepare for evolving Apple AI features that emphasize user privacy. Balance campaigns between Apple’s controlled environment and more open, AI-reliant ecosystems like Google’s and Meta’s to optimize reach and precision.