WEB ANALYTICS, CRM, AND BUSINESS STRATEGY BLOG

The seventh wave of AI is redefining CRM and data strategy

Written by Alba Fiorella Aviles | Jul 16, 2025 9:57:10 AM

Artificial intelligence is not just another improvement: it is, in the words of George Colony, CEO of Forrester, the seventh wave of transformation that will redefine the technology sector. This change directly affects CRM, analytics, and marketing automation, forcing companies to adapt or be left behind.

What is the seventh wave of AI?

The seventh wave, as Colony explains, represents a revolution of scale comparable to the arrival of PCs, the internet, or the cloud. It is characterized by:

  • Generative AI: creates text, code, images, and content.
  • Agent AI: autonomous systems capable of acting in complex environments.

This combination ushers in a new era of technology platforms designed from the ground up to be powered by artificial intelligence.

How this wave will directly affect CRM systems

Traditional CRM systems, designed to record data, are being surpassed by intelligent platforms that understand and automate business decisions. Colony points to three key transformations:

1. Code becomes drastically cheaper thanks to AI

With AI-powered low-code/no-code platforms, companies can build functionalities without relying on extensive technical teams. This directly impacts the costs and implementation times of personalized CRMs.

2. A new category of AI-Native CRM is born

It's no longer about adding AI to a traditional CRM, but about using solutions built on AI-first architectures. These solutions are designed to learn and adapt to business processes from the outset, allowing for scalable and dynamic personalization.

3. Functional intelligence replaces manual configuration

Instead of manually designing flows, campaigns, or lead scores, AI systems detect patterns, optimize decisions, and execute actions automatically, based on context.

Why advanced analytics and automation are key in this wave

Colony warns that the role of analytics changes radically: it is no longer support, but an engine of action. This has three practical implications for B2B companies:

1. From descriptive analytics to actionable decisions

Predictive analytics, when integrated into CRM with AI, not only interprets data but also recommends and executes actions. This accelerates the decision-making cycle in marketing and sales.

2. Contextualized automation with real-time data

Intelligent agents act as automation engines that react to customer behavior in real-time, adjusting emails, sales paths, and campaigns without human intervention.

3. Continuous improvement without technical intervention

Systems evolve automatically based on data and results, generating a continuous learning effect that optimizes processes without relying on recurrent configurations.

Technology infrastructure changes driven by AI

Colony also predicts that technology infrastructure will undergo a complete shift:

  • 8–10% annual increase in AI hardware investment, especially in GPUs, necessary for processing advanced models.
  • 5–6% annual increase in technology services, driven by the migration to cloud and AI-native platforms.

Companies looking to take advantage of this wave will need to review their technology stack: from CRM and analytics to data and processing infrastructure.

Strategies being followed by major market players

According to Forrester, leading technology companies are adopting four strategies to defend their territory against the advance of AI:

  • Buying AI startups to quickly integrate them into their offering.
  • Blocking competition with exclusive alliances and aggressive pricing.
  • Pretending their systems are “AI ready” when they are not truly so.
  • Linking legacy solutions with AI layers, instead of restructuring from scratch.

Colony calls this “layered AI,” and warns that companies must develop criteria to distinguish between real integrations and superficial marketing.

Practical recommendations for CIOs and CMOs

Colony proposes a clear roadmap for IT, marketing, and sales leaders who want to successfully navigate this new technology wave:

1. Conduct an audit to detect “fake AI” in your current systems

Many CRM and automation solutions are promoted as AI-ready, but in reality, they only have superficial layers. An architecture audit will help you identify real areas for improvement.

2. Prepare your teams to work with AI critically and effectively

The change is not only technological but also organizational. It is key to train sales and marketing teams in AI tools, data interpretation, and intelligent automation.

3. Run CRM and analytics pilots with AI-native solutions

Start with small, measurable projects: AI-automated campaigns, predictive scoring, or intelligent dashboards that interpret lead behavior.

4. Create a 2026–2027 strategic plan focused on AI-first technologies

According to Colony, the true impact of this seventh wave will be felt in the next 24–36 months. The time to prepare your technology stack is now.

Conclusion: surfing the seventh wave with strategy, judgment, and action

The seventh wave of AI, described by George Colony, is not optional: it is inevitable. It is changing how companies design their platforms, manage customers, analyze data, and automate actions. Leaders who act with strategic vision, betting on AI-native solutions and optimizing their infrastructure, will be the ones who set the pace in their sector.

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