GenAI 2024: Enough Talk—What Are We Going to Do?

GenAI 2024: Enough Talk—What Are We Going to Do?

By Geoffrey Moore

Author – The Infinite Staircase: What the Universe Tells Us About Life, Ethics, and Mortality

In 2023 we simply could not stop talking about Generative AI.? But it is 2024, and the question each enterprise must answer now—and this includes yours as well—is What are we going to do about it?? Tough questions call for tough frameworks, so let’s run this one through the Hierarchy of Powers to see if it can shine some light on what might be your company’s best bet.

Category Power

Gen AI can have an impact anywhere in the Category Maturity Life Cycle, but the way it does so differs depending on where your category is, as follows:

  • Early Market.? GenAI will almost certainly be a differentiating ingredient that is enabling a disruptive innovation, and you need to be on the bleeding edge.? Think ChatGPT.
  • Crossing the chasm.? Nailing your target use case is your sole priority, so you would use GenAI if, and only if, it helped you do so, and avoid getting distracted by its other bells and whistles.? Think Khan Academy at the school district level.
  • Inside the tornado.? Grabbing as much market share as you can is now the game to play, and GenAI-enabled features can help you do so provided they are fully integrated (no “some assembly required”).? You cannot afford to slow your adoption down just at the time it needs to be at full speed.? Think Microsoft CoPilot.
  • Growth Main Street (category still growing double digits).? Market share boundaries are settling in, so the goal now is to grow your patch as fast as you can, solidifying your position and taking as much share as you can from the also-rans.? Adding GenAI to the core product can provide a real boost as long as the disruption is minimal.? Think Salesforce CRM.
  • Mature Main Street (category stabilized, single-digit growth).? You are now marketing primarily to your installed base, secondarily seeking to pick up new logos as they come into play.? GenAI can give you a midlife kicker provided you can use it to generate meaningful productivity gains.? Think Adobe Photoshop.
  • Late Main Street (category declining, negative growth).? The category has never been more profitable, so you are looking to extend its life in as low-cost a way as you can.? GenAI can introduce innovative applications that otherwise would never occur to your end users.? Think HP home printing.

Company Power

There are two dimensions of company power to consider when analyzing the ROI from a GenAI investment, as follows:

  • Market Share Status.? Are you the market share leader, a challenger, or simply a participant?? As a challenger, you can use GenAI to disrupt the market pecking order provided you differentiate in a way that is challenging for the leader to copy.? On the other hand, as a leader, you can use GenAI to neutralize the innovations coming from challengers provided you can get it to market fast enough to keep the ecosystem in your camp.? As a participant, you would add GenAI only if was your single point of differentiation (as a low-share participant, your R&D budget cannot fund more than one).
  • Default Operating Model.? Is your core business better served by the complex systems operating model (typical for B2B companies with hundreds to thousands of large enterprises for customers) or the volume operations operating model (typical for B2C companies with hundreds of thousands to millions of consumers)?? The complex systems model has sufficient margins to invest professional services across the entire ownership life cycle, from design consulting to installation to expansion.? You are going to need deep in-house expertise to win big in this game.? By contrast, GenAI deployed via the volume operations model has to work out-of-the-box.? Consumers have neither the courage nor the patience to work through any disconnects.

Market Power

Whereas category share leaders benefit most from going broad, market segment leaders win big by going deep.? The key tactic is to overdo it on the use cases that mean the most to your target customers, taking your offer beyond anything reasonable for a category leader to copy.? GenAI can certainly be a part of this approach, as the two slides below illustrate:

In the complex systems operating model, GenAI should accentuate the differentiation of your whole product, the complete solution to whatever problem you are targeting.? That might mean, for example, taking your Large Language Model to a level of specificity that would normally not be warranted.? This sets you apart from the incumbent vendor who has nothing like what you offer as well as from other technology vendors who have not embraced your target segment’s specific concerns.? Think Crowdstrike’s Charlotte AI for cybersecurity analysis.

In the volume operations operating model, GenAI should accentuate the differentiation of your brand promise by overdelivering on the relevant value discipline.? Once again, it is critical not to get distracted by shiny objects—you want to differentiate in one quadrant only, although you can use GenAI in the other three for neutralization purposes.? For Performance, think knowledge discovery.? For Productivity, think writing letters. For Economy, think tutoring.? For Convenience, think gift suggestions.?

Offer Power

Everybody wants to “be innovative,” but it is worth stepping back a moment to ask, how do we get a Return on Innovation?? Compared to its financial cousin, this kind of ROI is more of a leading indicator and thus of more strategic value.? Basically, it comes in three forms:

  1. Differentiation.? This creates customer preference, the goal being not just to be different but to create a clear separation from the competition, one that they cannot easily emulate.? Think OpenAI.
  2. Neutralization.? This closes the gap between you and a competitor who is taking market share away from you, the goal being to get to “good enough, fast enough,” thereby allowing your installed base to stay loyal.? Think Google Bard.
  3. Optimization.? This reduces the cost while maintaining performance, the goal being to expand the total available market.? Think Edge GenAI on PCs and Macs.

For most of us, GenAI will be an added ingredient rather than a core product, which makes the ROI question even more important.? The easiest way to waste innovation dollars is to spend them on differentiation that does not go far enough, neutralization that does not go fast enough, or optimization that does not go deep enough.? So, the key lesson here is, pick one and only one as your ROI goal, and then go all in to get a positive return.

Execution Power

How best to incorporate GenAI into your existing enterprise depends on which zone of operations you are looking to enhance, as illustrated by the zone management framework below:

If you are unsure exactly what to do, assign the effort to the Incubation Zone and put them on the clock to come up with a good answer as fast as possible.? If you can incorporate it directly into your core business’s offerings at relatively low risk, by all means, do so as it is the current hot ticket, and assign it to the Performance Zone .? If there is not a good fit, consider using it internally instead to improve your own productivity, assigning it to the Productivity Zone .? Finally, although it is awfully early days for this, if you are convinced it is an absolutely essential ingredient in a big bet you feel compelled to make, then assign it to the Transformation Zone and go all in.? Again, the overall point is manage your investment in GenAI out of one zone and only one zone, as the success metrics for each zone are incompatible with those of the other three.

One final point.? Embracing anything as novel as GenAI has to feel risky.? I submit, however, that in 2024 not taking meaningful action on GenAI is even more so.

That’s what I think.? What do you think?


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Aashima Sharma

Senior Digital Marketing Specialist- Data Dynamics

9 个月

I completely agree. As with any new #technology, there is always an element of risk involved in embracing it. However, #GenAI has the potential to revolutionize the way we operate and compete in the market. Companies that fail to take meaningful action towards it may find themselves struggling to keep up with their competitors in the near future. Hence, it is important for companies to manage their investments in GenAI strategically and proactively.

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Christian Steiger

Managing Director Lexware & founder Lexware Office (formerly lexoffice) | #1 SaaS Business Software | Enabling Self-Employed and Small Businesses to live their dreams

10 个月

Thanks for sharing, we use your framework zone2win now over 10 years to catch the next wave.

Gaurav Vaid

The Product Guy ? 3X Top LinkedIn Voice ? Founding Partner @ Venturis Inc ? Product Thinker Focused on Transformation and Innovation ? Fractional Chief Product and Strategy Officer ? Podcast Host/Producer

10 个月

Timely article and a lot of information in there. Had to spend a few rounds i reading and re-reading it to grasp fully. Did you consider a multi-part blog series, with a blog each focused on one Hierarchy of Power? I found the last series broken into this structure much easier to process in byte sized chunks..., This is great in any case and very timely, given where the Gen AI hype cycle stands.

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Carl Henrikson

Innovation & Digital transformation leader - IEC/ISO17024 / ISO 56002

10 个月

True! Generative AI is exciting and has many applications and we all need to get on the learning curve as fast as possible as it is improving fast and will be able to do more and more tasks. I think companies must invest in learning and experimentation to explore how GenAI might transform their operations and even entire industries in the next few years. But I believe that more of 90% of the value that can be captured with AI at the moment is not within the more narrow field of GenAI but rather in the wider more classical AI e.g. machine learning which is technology that has been around for decades. The most immediate benefit of GenAI is that it has created awareness of AI and unprecedented accessibility. Decision makers have been able to interact with it themselves for the first time and therefore they can now understand the possible business implications. I think companies need to first get into a data-driven mindset and figure out the business outcomes they are seeking and then start building applications to reach the desired goals. This wave of AI awareness is very similar to what happened when the iPhone was launched and CXO's swapped out their phones for smartphones. This time the change will be tenfold or perhaps more!

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Ian Whiteford

LinkedIn Top Voice | Founder @1%HR | Director @Windranger | Fractional CPO | Strategic HR Leader | HR Innovator in Crypto & Web3 |

10 个月

Absolutely ?? ! Navigating the landscape of #GenAI is undoubtedly a challenge, but as the caption rightly points out, the real risk lies in not embracing the transformative power it holds.

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