Gartner Accelerates Enterprise AI Strategies

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🇬🇧Read original on The Register - AI/ML

💡Gartner's tips to scale AI from boardroom to production—vital for enterprise leaders

⚡ 30-Second TL;DR

What changed

Most enterprises have AI strategies but struggle with production deployment

Why it matters

Many leaders struggle with implementation amid pressure to deliver results.

What to do next

Download Gartner's AI strategy playbook from their site to benchmark your production roadmap.

Who should care:Enterprise & Security Teams

🧠 Deep Insight

Web-grounded analysis with 2 cited sources.

🔑 Key Takeaways

•Most enterprises have AI strategies but struggle with production deployment, with many 2024 projects failing or stalling, leading to increased buying from vendors.[1]
•Gartner projects 80.8% growth in GenAI model spending for 2026, driving business software spend to grow 14.7% to $1.4 trillion.[1]
•GenAI features are now embedded in existing enterprise software, shifting pricing paradigms as renewals include AI capabilities.[1]

🔮 Future ImplicationsAI analysis grounded in cited sources

Gartner's report signals accelerating enterprise AI adoption, with GenAI becoming dominant in software markets, boosting vendor pricing power but straining budgets amid infrastructure surges; enterprises shift from building to buying proven AI solutions.[1]

⏳ Timeline

2024-12

Enterprises attempted to build own AI projects, most failed or stalled.[1]

2025-12

Business software spend grew 11.5% amid rising GenAI integration.[1]

2026-02

Gartner forecasts 14.7% software spend growth to $1.4T and 80.8% GenAI model spend increase for 2026.[1]

📎 Sources (2)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

Gartner offers solutions to help enterprises transition AI strategies from vision to production. Many leaders struggle with implementation amid pressure to deliver results. This sponsored post promotes Gartner's expertise in scaling AI initiatives.