The AI Efficiency Trap: Why Growth, Not Cost-Cutting, Should Own Your 2026 AI Agenda
Updated: Aug 25
Three pieces of research crossed my desk this week. Read together, they tell an uncomfortable story about where commercial leaders are actually spending their AI budgets versus where they should be.
The insight. HBR’s Benartzi, Long and Puntoni open with a line that stuck with me: ask senior executives what AI should do for the business and the answers cluster around cost, headcount and process speed. “Efficiency, efficiency, efficiency - it’s an almost universal reflex. It’s also a badly misguided one.” Their argument, backed by real-world marketing experiments, is that AI’s larger value sits on the growth side of the ledger: materially raising growth rates, and in turn multiplying company value, by broadening access to sophisticated services rather than simply defending the customers you already have.
Bain’s 2026 B2B Growth Agenda gives that argument a number. In a survey of more than 1,100 commercial leaders across 18 sectors and 40 countries, 91% expect to hit their 2026 growth targets but a nearly identical share said the same about 2025, and 42% missed. Confidence is not the bottleneck. The differentiator, per Bain, is that top-performing companies redesign commercial workflows end-to-end, embed AI into daily operations, and assign clear ownership and as a result post roughly twice the AI-driven revenue growth and 1.8x the cost efficiency of their peers. Growth-first AI adoption is not just more ambitious; it is also more efficient, almost as a byproduct.
INSEAD’s annual faculty survey adds the sharpest data point of the three: for 2026, AI and digital transformation is the only issue faculty flagged as both a leading opportunity (61%) and a leading threat (44%) at the same time more double-edged than geopolitics, inequality or climate change. The same tool is producing wildly different outcomes depending on who’s wielding it and toward what end.
What it means for commercial and marketing leaders in APAC. This lands differently here than in mature Western markets. McKinsey’s latest APAC consumer sentiment work describes a “next consumer middle” value-focused shoppers who are disciplined with budgets but will pay a premium for what they perceive as genuinely better quality, durability or values alignment. This is a growth signal. Regional teams that funnel their AI investment purely into efficiency automating support tickets, trimming media production costs are optimizing for a static customer base in a market that is still expanding and re-segmenting in real time. The opportunity cost of an efficiency-only AI agenda is larger in APAC than almost anywhere else, precisely because the addressable growth is larger.
Practical takeaway. Before your next AI budget review, force every initiative on the roadmap to declare which side of the ledger it sits on efficiency or growth and set a minimum floor (I’d argue 35–40%) for growth-oriented spend: AI-driven personalization, dynamic pricing and value communication, new-segment targeting, partnership and channel expansion. Just as importantly, make sure ownership of those initiatives sits with commercial and marketing leaders, not solely with IT or operations. Bain’s data suggests clear commercial ownership is what separates the leaders from the 42% who miss target twice in a row. The technology is not the differentiator anymore. Where you point it is.
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