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  • 1.  AI adoption is everywhere. AI impact isn't. McKinsey Report

    Posted yesterday
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    Good morning community,

    These days we use and think about AI every day. Every day. That's our new reality. My teenage son gave me a book by Robert Heinlein recently "The moon is a harsh mistress". Humanity's future. Lots of cities on the Moon governed by autocratic government who in turn are governed by Earthside Luna Committee. The computer on the moon developed consciousness and helps a group of dissidents to make revolution happen. Many ideas there in that sci fi book are our reality now. The dinkum thinkum (conscious computer) is omnipowerful and omnipresent, making all those videos, computations, listening in etc.)

    What world are you envisioning as investors?

    McKinsey's latest global survey (Nov 2025) shows that AI adoption is now mainstream, with ~88% of organisations using AI in at least one function. However, the real story for investors is the gap between adoption and value creation-most firms are still in early stages of scaling and monetising AI.
    While excitement around agentic AI (autonomous systems that execute workflows) is growing, enterprise transformation remains uneven, and only a minority of companies are capturing meaningful financial impact.
    Takeaways from the paper:
    1. Adoption doesn't equal value. only 39% of respondents report any EBIT impact, often below 5%. Most organisations are  stuck in pilot or experimentation phase.
    2. AI leaders are playing a different game. 6% of respondents are targeting growth and innovation, not just cost reduction. They redesign workflows and invest heavily and scale faster. Will alpha likely accrue using AI for business model transformation?
    3. 62% of firms are experimenting with AI agents. Only 23% have begun saling them in limited functions
    4. 65% say that Ai enables innovation with early gains in revenue and customer experience.
    5. Workforce and risk dynamics matter.32% expect reductions, 43% no change. 50% of firms report negative AI related consequences
    Are you seeing or can you see your organisation genuinely redesigning their businesses around AI versus merely adopting tools?


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    Aya Pariy
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  • 2.  RE: AI adoption is everywhere. AI impact isn't. McKinsey Report

    Posted 15 hours ago

    Hi Aya, coincidentally, I've been spending time with colleagues and other knowledgeable people in the market trying to figure out what it actually takes to reconfigure current workflows around AI. It sounds simple, but in a large organisation, that is HARD. Even more so in a regulated environment, because many workflows are subject to regulatory scrutiny, controls, auditability requirements, etc. Smaller firms without those headwinds have been much freer to redesign how they work. Pretty exciting to watch in real time.

    More sobering, though, like many people in our community, I've also been reading more deeply into AI disruption. For anyone running or trying to build a lasting business, it's important to understand what may happen to your customers, not just your own cost base. In the press, there are lots of opinions but not always much analytical grounding. For example, simply saying "AI will create new jobs" in isolation feels more like a faith statement than an investment thesis -- and as investors, we usually try to avoid faith statements. At the same time, seeing layoffs at Meta, Oracle, Amazon, PayPal, Cloudflare, Block, etc. alongside STRONG earnings and enormous AI capex programs explicitly framed as productivity initiatives cuts against the usual intuition that layoffs mainly accompany weak business conditions.

    I happened upon this paper (The AI Layoff Trap ) from UPenn and Boston University, which analyses how AI layoffs could reshape competitive markets. The core argument is that AI-driven layoffs are not simply a social problem but potentially a game-theoretic inevitability. Individual firms rationally automate to reduce costs and stay competitive, but when all firms do this simultaneously, they erode the purchasing power of the very workers who also function as consumers. The result is a macro coordination failure: productivity and corporate profits rise while aggregate demand weakens. The paper frames this as a Prisoner's Dilemma where even executives who understand the long-term risks cannot slow automation without risking competitive disadvantage. It also argues that many proposed fixes (UBI, retraining, worker ownership, voluntary coordination, etc.) fail because they do not change the firm-level incentive to automate in the first place.

    arXiv.org remove preview
    The AI Layoff Trap
    If AI displaces human workers faster than the economy can reabsorb them, it risks eroding the very consumer demand firms depend on. We show that knowing this is not enough for firms to stop it. In a competitive task-based model, demand externalities trap rational firms in an automation arms race, displacing workers well beyond what is collectively optimal.
    View this on arXiv.org >



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    Kara K.W. Byun
    Head of Fintech
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