Strategy over speed - a measured approach to AI adoption
The latest HBR article on Gen AI strategy crystallizes something a core truth for our time: the question isn't whether AI is smart enough - itโs about whether youโre strategic enough in how you use it.
Many businesses are stuck in analysis paralysis, waiting for "perfect" AI. Others rush to deploy everywhere without thinking through where it creates value. Both approaches miss the mark.
The real question: Where does AI make sense today?
The HBR framework breaks deployment into four zones based on risk and knowledge type:
๐ฏ Low-risk, data-driven tasks? Deploy now e.g. rรฉsumรฉ screening, expense approvals, meeting summaries.
๐ก Creative work with low consequences? Use AI as a catalyst e.g. generate 20 marketing taglines instead of 5.
โ๏ธ ๐๐ถ๐ด๐ต-๐๐๐ฎ๐ธ๐ฒ๐, ๐ฒ๐
๐ฝ๐ฒ๐ฟ๐๐ถ๐๐ฒ-๐ฑ๐ฟ๐ถ๐๐ฒ๐ป ๐ฑ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป๐? High stakes, expertise-driven decisions? Keep humans in control, let AI support e.g. drafting communications, synthesizing data, modelling scenarios.
๐ ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ-๐ต๐ฒ๐ฎ๐๐, ๐ต๐ถ๐ด๐ต-๐ฎ๐ฐ๐ฐ๐ผ๐๐ป๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐๐ฎ๐๐ธ๐? Knowledge-heavy, high-accountability tasks? Human-in-the-loop e.g. AI handles heavy lifting, experts provide oversight.
Why this matters:
Measured prioritization beats blanket adoption or cautious delay. The differentiator isn't the technologyโeveryone has access to the same models.
It's how you strategically deploy it:
โข Which tasks you reimagine versus automate
โข How you combine AI with proprietary data
โข How you redesign workflows to capture time savings
โข How you prevent efficiency gains from evaporating into busywork
At LMGC Analytics, we help organizations take this measured view - breaking down processes, identifying where AI addresses challenges faster than traditional approaches, creating the environment to sustain that advantage.
The time to act is now, but thoughtfully.
Don't wait for perfect AI and don't rush to deploy everywhere either. Identify your "no regrets" zones and build from there.
What's your organization's approach? You know you should do something but need guidance to the right path โฆ?
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Source: "The Gen AI Playbook for Organizations" - Harvard Business Review, November-December 2025
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