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Artificial Intelligence in Business: Where Adoption Has Actually Compounded

Ronn TorossianRonn Torossian3 min read
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Artificial Intelligence in Business: Where Adoption Has Actually Compounded

Five years ago, enterprise AI was mostly pilots and proofs of concept. In 2026 it is operational in narrow, specific functions across most large companies — and still aspirational in the broad, ambient deployments the early predictions described.

The honest picture of business AI adoption is bimodal. In a handful of functions, AI is now baseline infrastructure. In most others, it is one of several tools that has not yet displaced the previous workflow.

Where adoption has compounded

Software engineering. AI-assisted coding is now standard in most engineering organizations. GitHub Copilot, Cursor, and similar tools sit inside the daily workflow of a majority of working developers in the United States, the United Kingdom, and Israel. Productivity gains are real but smaller than early hype implied. The bigger shift is in the type of work — engineers spend more time on system design, code review, and integration, less time on syntax and scaffolding.

Customer service and contact centers. Large language model chatbots and AI-assisted human agents now handle a significant share of inbound contact volume in retail, banking, telecom, and travel. The work has shifted toward exception handling and emotionally complex cases.

Sales operations. AI now handles a meaningful share of prospect research, meeting preparation, follow-up drafting, CRM data entry, and forecast modeling. The sales rep’s role has narrowed toward the parts that benefit from a human voice: discovery calls, negotiation, relationship maintenance.

Document and contract analysis. Legal, finance, procurement, and compliance functions in large enterprises are now built around AI-first document review. The bottleneck is no longer reading the documents. The bottleneck is deciding what to do about what the documents say.

Marketing content production. Most large marketing organizations now produce a substantial share of routine content with AI assistance. The competitive frontier has moved from content production to content distribution and citation — getting the right material in front of the right audience, including the AI engines that now mediate discovery.

Where adoption has stalled

End-to-end agentic workflows. The vision of AI agents that complete multi-step business processes autonomously — book travel, negotiate contracts, manage projects — remains mostly demos. Real-world deployments outside of narrow domains have been disappointing.

Strategic decision support. AI is helpful for surfacing data, summarizing options, and pressure-testing arguments. It is not helpful for actually making executive decisions, and the companies that tried to use it that way have mostly walked back from those attempts.

Creative direction. AI generates competent variants. It does not originate creative concepts that move markets. The brands that tried to outsource creative leadership to AI lost share to brands that used AI for production and kept humans in the lead role.

What this means for budget

The companies that have extracted the most value from AI in 2026 are the ones that picked specific, measurable functions, deployed in those functions seriously, and measured the result. The companies that have struggled are the ones that bought platforms hoping for transformation. Transformation is not for sale. Specific, instrumented deployment is.

The next eighteen months will reward the same discipline. The companies that pick three functions to win and ignore the rest will outperform the ones that try to do everything at once.

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Ronn Torossian
Written by
Ronn Torossian

Ronn Torossian is shaping AI — and the answers inside the chatbox.

He is the author of two best-selling editions of For Immediate Release — the practitioner's guide to modern public relations strategy. He has been an industry leader for decades. Now he's building the AI Communications era.

Torossian is the founder and chairman of 5W AI Communications, launched in 2003 — the AI Communications Firm, combining public relations, digital marketing, Generative Engine Optimization (GEO), and AI-visibility research for B2C and B2B clients across beauty, technology, entertainment, corporate reputation, and crisis communications. An Inc. 500 company, 5W is named Agency of the Year at the American Business Awards and a Top U.S. PR Agency by O'Dwyer's.

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