Observed Signal · Jun 23, 2026 · Industry Analysis · Source: https://martech.org/feed/ · Impact: 3/5 · Sentiment: Positive
AI's Biggest Opportunity: Creating New Value
The article argues that while most organisations use AI (88% per McKinsey), only a small share (6%) see significant enterprise-wide impact because companies mainly apply AI to existing tasks rather than rethinking business models. Only 23% of generative-AI users have redesigned workflows for the technology. The author contrasts a 'factory' (efficiency) mindset with a 'laboratory' (experimentation and effectiveness) mindset and recommends marketing operations lead experimentation to discover new revenue models. Examples include Pieter Levels' portfolio of experiments generating sizable monthly revenue and IKEA’s chatbot 'Billie', which resolved 47% of inquiries, triggered reskilling of call-centre staff into design advisers and produced €1.3 billion in new revenue in 2022. The piece emphasises deliberate, low-cost experimentation to move organisations into higher-value AI stages.
Highlights the gap between widespread AI adoption and limited enterprise impact, provides concrete examples (IKEA, entrepreneur experiments) that illustrate how experimentation can create new revenue streams—relevant guidance for MarTech and marketing operations.
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Key Takeaways & Evidence Grounding
- McKinsey: 88% of organisations use AI in at least one function.
- Only 6% of organisations report significant enterprise-wide impact from AI.
- Only 23% of organisations using generative AI have redesigned workflows for the technology.
- IKEA’s chatbot 'Billie' resolved 47% of customer inquiries (about 3.2 million interactions) and helped create a new sales channel that generated €1.3 billion in revenue in 2022 after reskilling 8,500 call-centre workers.
- Tech entrepreneur Pieter Levels used rapid experimentation to launch multiple projects that together generate more than $250,000 per month.
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AI Raises the Floor — Discovery Unlocks Durable Value
Gale Robins (UX Collective) argues that most organizations are using AI to accelerate existing work (productivity) but are not realizing durable value because they are not changing the questions they ask during discovery. Citing McKinsey’s 2025 State of AI and an April 2026 McKinsey Quarterly model, the article summarizes three waves of AI value — productivity, differentiation, and transaction-cost reduction — and says durable returns come from the latter two. Empirical research by Brynjolfsson, Li, and Raymond is highlighted showing AI raised average productivity by 14%, with novice workers gaining ~34% while experienced workers saw little improvement. The piece urges teams to treat AI as a force that reshapes what is worth building (framing judgment) rather than only a tool to do existing work faster.
AI Adoption Gap: Only 6% Deliver Significant EBIT Impact
McKinsey's 'State of AI in 2026' reveals that while nearly 90% of companies use AI in at least one function, only 37% report measurable EBIT impact. Only 6% are 'high performers' attributing at least 5% of EBIT to AI. The article argues that closing this gap depends on fixing data silos, assigning clear accountability, and redesigning workflows, not just adopting better models. DMEXCO 2026 in Cologne, themed 'Scaling Intelligence', echoed these themes. The piece also highlights a shift in digital visibility where AI assistants and social platforms become entry points, requiring products to be machine-understandable.
Companies Misalign AI Measurement with Customer Value
An opinion piece argues that most companies are measuring AI against internal productivity goals rather than customer value. Epsilon's 2026 benchmark study of 257 marketing decision-makers found 71% use AI for productivity, yet 46% measure its impact by revenue. The article highlights a perception gap between C-level and senior managers regarding AI maturity and value. It also cites data on AI's growing influence in search and retail traffic. The author suggests focusing on customer-centric outcomes and warns against treating AI as a strategy substitute. The piece includes insights from Gartner, Adobe, and Forrester on AI's effects.
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