Use 2027 Budget Optimism To Drive An AI Reset

2026-07-15 · Source: Featured Blogs - Forrester · Field: Business & Management — Corporate Strategy & Leadership, Artificial Intelligence & Machine Learning, Consulting & Professional Services · Depth: Intermediate, quick

Summary

Forrester's latest Budget Planning Survey reveals significant budget optimism for 2027, with over 80% of leaders expecting an overall budget increase in the next 12 months, and up to one-quarter anticipating a rise of 10% or more. This positive outlook presents an opportunity for an "AI reset," but only if leaders avoid traditional spending patterns that could reinforce inefficiencies. Forrester's 2027 Budget Planning Guides offer data-driven advice for technology, marketing, customer experience, and digital leaders on strategic investments. Key recommendations include investing in enterprise context for AI agents, spending on brand visibility in answer engines like Reddit and YouTube, ceasing funding for dysfunctional AI activities, and experimenting with synthetic data to accelerate insights. The guides emphasize resetting *where* investments are made, not just *how much* is spent, to prepare organizations for AI's evolving capabilities.

Key takeaway

For Directors of AI/ML or VPs of Engineering planning 2027 budgets, your increased spending must target strategic AI foundational elements, not just scale existing efforts. Prioritize investments in machine-readable enterprise knowledge for AI agents and enhance brand visibility in answer engines. Critically, stop funding AI activities lacking clear strategy or measurable value. Focus your budget on initiatives that demonstrate compound value and scale, ensuring your organization is truly ready for AI's evolving capabilities.

Key insights

Budget optimism for 2027 demands an AI investment reset, focusing on foundational capabilities and strategic applications.

Principles

• AI agents need machine-readable enterprise context.
• Brand visibility in answer engines is crucial.
• Stop funding AI efforts without clear value.

Method

The article outlines a strategic budget allocation approach for AI, advising leaders to invest in foundational knowledge layers, brand presence in answer engines, and value-driven AI initiatives, while experimenting with synthetic data.

In practice

• Build a governed, machine-readable knowledge layer.
• Monitor customer sentiment on Reddit/YouTube.
• Test AI impact before scaling across teams.

Topics

• AI Budget Planning
• Enterprise AI Strategy
• AI Agents
• Synthetic Data
• Brand Visibility
• Answer Engines

Best for: Director of AI/ML, VP of Engineering/Data, Executive

Related on AIssential

• Midyear update 2025 AI predictions: PwC — Bold AI strategies, especially with agentic AI and responsible governance, are critical for competitive advantage and value creation by 2025.
• The Pulse: a trend of trying to cut back on AI spend within eng departments? — Engineering departments are increasingly questioning AI investment ROI, leading to dampened spending on AI agents.
• These Were The Largest Funding Rounds Of 2025 — 2025 saw a surge in mega-funding rounds for AI companies, particularly in generative AI.
• Budget Planning 2027: Portfolio Marketing And Product Management Must Be Primed For AI-Era Innovation — AI demands a fundamental shift from feature-centric planning to customer outcome-based value delivery in product and marketing.
• The Silent AI Collapse. Why China Is Winning? — The AI budget bubble is bursting, forcing a shift towards cost-efficient, self-hosted, and open-weight AI solutions.
• What AI investors are looking for after the hype cycle — AI investors are shifting from funding demos to demanding enterprise deployment, strategic fit, and measurable ROI.

See Counsel's argued verdicts on the open AI decisions leaders are weighing →

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.