AI Winners and Losers Scorecard
Combine existing authority with early AI adoption to compound your market lead.
- Difficulty
- Moderate
- Time to result
- ~months to results
- Steps
- 6
- Confidence
- 94%
Evaluate a company on two compounding dimensions: existing online authority and speed of meaningful AI adoption. An authoritative incumbent can use AI to increase output, strengthen its audience, and occupy more market territory before competitors respond. A less-established company can still compete by adopting early and using the resulting speed to build authority rapidly. The dangerous position is having neither authority nor AI capability, because catching up becomes progressively harder as leaders accumulate content, data, audience, and operational experience. After locating the business on this two-axis scorecard, map AI into the core areas where the company already intends to invest. Reassess frequently because available tools, practical use cases, and competitor capabilities change quickly.
Origin
Extracted from Marketing Against The Grain, where Kieran Flanagan and Kip Bodnar framed AI adoption as a polarizing force that compounds existing online authority and punishes laggards.
Core principles
- 01AI amplifies advantages rather than distributing outcomes evenly.
- 02Established online authority gives AI-assisted output immediate reach.
- 03Early adopters learn faster and secure territory before practices become standard.
- 04Laggards face both an authority deficit and an AI-capability deficit.
- 05AI should accelerate core strategic priorities rather than distract from them.
How to run it
- 1
Measure Existing Authority
Assess the strength of the brand's domain, audience, community, distribution, and established market presence. Treat these assets as potential multipliers for AI-assisted execution.
Pro tip Use observable indicators such as branded demand, repeat audience, rankings, and direct distribution rather than reputation alone.
Watch out Do not mistake publishing volume for genuine authority.
- 2
Measure AI Adoption
Inventory where teams currently use AI in research, ideation, production, personalization, and operations. Distinguish experiments from repeatable workflows that produce useful work.
Pro tip Look for workflows used every week rather than isolated demonstrations.
Watch out Owning subscriptions to AI tools does not constitute adoption.
- 3
Locate the Competitive Position
Classify the business by the combination of authority and adoption: strong on both, authority-rich but slow, low-authority but early, or weak on both. Compare that position with direct competitors.
Pro tip Pay special attention to competitors building an audience faster than their historical pace would predict.
Watch out A current authority advantage can erode if adoption remains slow.
- 4
Exploit or Build the Advantage
If authority is strong, use AI to compound it through faster and better execution. If authority is weak, use early adoption to accelerate the creation of differentiated assets, audience, and community.
Pro tip Concentrate output where the business already has credible expertise.
Watch out Undifferentiated AI output may increase volume without building defensible authority.
- 5
Map AI to Core Investments
Connect AI use cases to the business functions and strategic priorities receiving sustained investment. Reject distracting experiments that do not strengthen those priorities.
Pro tip Rank opportunities by strategic relevance, usable quality, and time saved.
Watch out Do not let enthusiasm for new tools replace strategic focus.
- 6
Reassess Frequently
Review the scorecard as tools improve, new use cases emerge, and competitors gain capability. Shift resources before a temporary disadvantage becomes structural.
Pro tip Use a monthly review during periods of rapid technological change.
Watch out Annual planning cycles may be too slow for a fast-moving AI landscape.
In the wild
A high-authority educational website introduces AI into research and drafting, allowing its experts to publish useful material faster. Existing rankings and distribution give the new work immediate reach, while human editors maintain differentiation and accuracy.
→ The incumbent expands its audience and topical authority before slower competitors develop equivalent workflows.
A young company lacks domain authority but learns AI research, prompting, and production workflows earlier than its category. It uses the speed advantage to build a focused library, newsletter, and community around a narrow expertise.
→ Early operational learning helps the company build authority more rapidly despite its weaker starting position.
Common mistakes
Waiting for AI to Mature
Delaying all adoption forfeits both immediate productivity and the learning accumulated through repeated use. Competitors may establish durable authority before the organization begins.
Automating Without Differentiation
Producing generic AI content at scale can saturate channels without creating authority. The resulting volume may be easy for competitors to reproduce.
Chasing Tools Outside the Strategy
Experimenting broadly without mapping AI to core investments creates activity but little competitive advantage.
Is it for you?
Best for
It is best for companies deciding how urgently and where to adopt AI across marketing and digital operations.
Not ideal for
It is not ideal for organizations seeking a one-off tool recommendation without examining their wider competitive position.
From the transcript
“So the winners, the winners are going to be established websites and people who are really early adopters of AI and can build a presence…”
“What he is saying, everyone, is that there's going to be a higher polarization of winners and losers in the AI generation.”
“And understanding where to focus and mapping AI to the core parts of your business that you're really focused on investing in is going to…”
From the episode
Winners and Losers in the Next Generation of Artificial Intelligence