ai spend

“Today, we are proud to report a June quarter revenue record of $94 billion, up 10% from a year ago, which was better than we expected. EPS set a June quarter record of $1.57, up 12% year over year.”

“We see AI as one of the most profound technologies of our lifetime. We are embedding it across our devices and platforms and across the company. We are also significantly growing our investments.”

“In terms of pull forward, we would estimate the pull forward of demand into April specifically to be about one point of the 10 points in terms of people buying because of discussions about tariffs.”

“The vast majority of the iPhones sold in the U.S. have a country of origin of India. And the vast majority of the other products, the Macs, iPad and Watch have a country of origin of Vietnam.”

“We're making good progress on a more personalized Siri, and we do expect to release the features next year. We are significantly growing our investment.”

“We expect our September quarter total company revenue to grow mid to high single digits year over year. We expect services revenue to grow at a year over year rate similar to what we reported in the June quarter.”

If you're building on AWS or selling into enterprises using AWS, capacity is expanding fast — 3.8 GW added in 12 months. Amazon is subsidizing AI adoption across its ecosystem. Ride that wave, but don't bet against their ad business eating into your margins if you sell on their marketplace.

If you're building on Google Cloud or selling AI infrastructure services, this is a green light — Google is flooding the zone with capex and customer demand is accelerating. The $155B backlog means enterprise cloud budgets are committed, not exploratory.

Apple's installed base hit all-time highs across every product and geo segment. If you're building on Apple platforms, your addressable market is expanding. But watch the tariff math — $1.1B in projected Q4 costs means Apple may eventually pass costs to consumers or squeeze supplier margins. The AI investment acceleration is real: CapEx is growing substantially with AI as the primary driver.

If you sell into enterprise IT, budgets are expanding not contracting. Microsoft is seeing accelerating cloud migration demand alongside AI — your customers are spending more, not reallocating. But capacity constraints mean if you depend on Azure GPU access, expect queues through at least June.

If you're building on Meta's ad platform or selling AI infrastructure, the spend flywheel is accelerating hard. But if you're competing for AI talent, Meta is hiring aggressively and will drive up compensation benchmarks further.

If you sell into automotive OEMs, budget cycles are getting longer and more complex as suppliers like Aptiv restructure. But if you build edge AI, robotics, or industrial automation solutions, Aptiv's aggressive pivot into non-auto markets signals real demand from a $12B+ buyer willing to invest organically and via M&A.

If you're building anything that touches data center infrastructure — networking, orchestration, security — Broadcom's dominance in custom AI accelerators and Ethernet switching means their ecosystem is the one to build on or integrate with. Their hyperscaler customer concentration is a feature, not a bug: follow the capex.

If you're building on cloud infrastructure, Oracle is aggressively competing on price and availability with 211+ regions. Their multicloud strategy means your enterprise customers may start requesting Oracle database deployments inside their existing AWS/Azure environments — be ready to support that.

If you sell into semiconductor fabs or advanced packaging supply chains, DuPont's 10% organic electronics growth confirms the AI capex wave is hitting materials suppliers — budget cycles are expanding, not contracting.

If you're building anything that touches enterprise networks or AI infrastructure, budget is flowing toward consolidated security platforms. Point solutions are getting squeezed — partner with or build on platforms like Fortinet's rather than competing head-on.

If you're building AI hardware or custom silicon, Cadence's record backlog and AI/HPC-driven hardware expansion signal that chip design tooling demand is surging — budget cycles for EDA tools are expanding, not contracting.

If you're building custom silicon or AI accelerators, Cadence's expanding portfolio and AI-centric tools mean the design toolchain is getting richer — budget for deeper EDA spend but expect faster tapeout cycles.

If you're building security tools, CrowdStrike's platform consolidation play is swallowing adjacent categories fast — cloud security, identity, SIEM. Either integrate with Falcon or find a niche they haven't reached yet. If you're a buyer, Falcon Flex pricing creates real consolidation leverage worth evaluating.

If you're building in the collaboration or contact center space, Zoom's AI Companion push signals they're bundling AI features into existing seats — not charging separately. That compresses standalone AI tool pricing in this category. Compete on workflow depth, not AI features.

If you're building in the SMB/mid-market CRM or marketing automation space, HubSpot is pulling away. Their AI agent strategy is creating switching costs — the window to win customers before they consolidate onto HubSpot is narrowing.

Salesforce is signaling long-term commitment to profitable growth alongside AI investment — watch the actual earnings call for hard numbers on whether the framework translates into real margin expansion.

If you sell into enterprise IT, IBM's clients are spending — especially on AI transformation and infrastructure modernization. The z17 cycle and AI consulting demand signal real budget allocation, not just pilots. Position your product as part of the AI deployment stack, not a net-new budget line.