Intel

The recommendation

Pick your primary AI vendor NOW and go all-in. The window for strategic flexibility is closing. Multi-vendor strategies sound smart but create 3x engineering overhead, vendor management complexity, and model drift issues. Choose based on your top use case (documents → Gemini, code → Claude, general automation → GPT), negotiate annual contracts at today's pricing, and build deep integrations. Switching costs in 12 months will be 10x higher.

Five moves that matter

1. OpenAI drops GPT-4.5 pricing 40% while improving accuracy 3% — Cost reduction without performance tradeoff breaks the traditional compute economics. Enterprises can now scale AI automation 2.5x without budget increases. Customer service, content moderation, and data extraction use cases become instantly profitable at volumes that were marginal before.
2. Google Gemini Enterprise seats grow 340% QoQ—finance and healthcare lead — Multimodal document processing (PDFs, scanned forms, mixed media) is becoming table stakes in regulated industries. Google's integration with Workspace gives them distribution advantage Microsoft can't match. If your competitors are moving, you're falling behind on document automation ROI.
3. Claude 4.5's 1M token context window enables whole-codebase analysis — Traditional code review requires humans to hold entire system architecture in their heads. Claude 4.5 can now ingest 40K+ lines of code in a single prompt—catching cross-file bugs, security issues, and architectural inconsistencies that slip past human reviewers. Early adopters cut PR review time 67%.
4. Price wars accelerate—expect another 30-50% cost drop by Q3 — When foundation model providers compete on price, the economics of AI-first products shift dramatically. What was unprofitable last quarter becomes viable this quarter. Startups building on expensive infrastructure face disruption from new entrants with lower CAC.
5. Context windows are the new moat—10M tokens by end of year — Every context window expansion unlocks new use cases (entire company knowledge bases, multi-session conversations, long-form content analysis). The race to 10M tokens is on. Winners will be models that can ingest your entire Notion workspace + Slack history + codebase in one prompt.