Best of LinkedIn: Strategy & Consulting CW 06/ 07
Show notes
We curate most relevant posts about Strategy & Consulting on LinkedIn and regularly share key takeaways.
This edition highlights a global business environment defined by geopolitical fragmentation and the rapid industrialization of artificial intelligence. Experts suggest that trade is moving toward a multi-nodal patchwork, requiring leaders to build resilient supply chains and tailored regional strategies rather than relying on a single global rules-based order. AI is transitioning from experimentation to execution, necessitating a shift in focus from technical capabilities to strategic governance, human-centered design, and explicit cost management. Corporate leaders, particularly CTOs and CHROs, are becoming central to business strategy as they integrate advanced technology with organizational culture and workforce evolution. Furthermore, the sources emphasize that sustainability and risk management have evolved from mere compliance exercises into core drivers of long-term business value. Effective leadership now requires navigating deep uncertainty by making deliberate choices, fostering trust, and prioritizing learning velocity over simple efficiency.
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Show transcript
00:00:00: provided by Thomas Allgaier and Frennus, based on the most relevant LinkedIn posts about strategy in consulting from CW six-and-seven.
00:00:08: Frenness specializes in B to B market research for strategy and consulting teams with a focus on tech and ICT.
00:00:14: You know usually by mid February The business world has kind of settled into a rhythm.
00:00:19: you've got your budget Your Q one targets And just you execute.
00:00:23: but looking at the strategy and Consulting Feeds From Weeks Six and Seven Of twenty twenty-six I just don't see any rhythm, i see a scramble.
00:00:30: Scramble is probably the polite word for it!
00:00:32: It feels more like floorboards are being ripped up while everyone still trying to dance?
00:00:36: Exactly
00:00:37: and that's what we're unpacking today with our listeners in private equity M&A and venture capital.
00:00:43: We aren't looking at incremental trends.
00:00:44: No
00:00:45: not at all
00:00:47: structural breaks in the data.
00:00:49: First, the economics of AI have shifted from pilot mode to infrastructure and that has a massive price tag attached.
00:00:57: A price tag?
00:00:58: And it completely new way of valuing companies
00:01:01: right.
00:01:01: second The geopolitical map isn't just messy.
00:01:05: It is fundamentally rewired into something people are calling a multi nodal system.
00:01:10: hmm We'll get into that.
00:01:11: and third the operating models the way humans actually do the work or just creaking under the pressure of all this change.
00:01:18: It's a heavy mix, but I think we have to start with AI piece because The shift in tone on length and this week was well it Was undeniable?
00:01:26: They
00:01:26: really was.
00:01:27: for the last two years the safe sea.
00:01:28: sweet talking point was We're exploring use cases
00:01:32: were running a pilot
00:01:33: Exactly.
00:01:33: Yeah, but Jim Rowan highlighted the twenty-twenty six chief strategy officer survey from Deloitte and I mean that era is just over.
00:01:41: The numbers are stark.
00:01:42: rowing notes that ninety five percent of Chief Strategy Officers say AI Is materially shaping their priorities this year?
00:01:47: This
00:01:48: here not next year.
00:01:49: right now exactly.
00:01:51: But you know the key insight Rowan draws isn't Just the percentage it's the categorization.
00:01:56: Right...This no longer a capability discussion It's A competitive Discussion.
00:02:00: That is such a huge distinction.
00:02:01: A capability discussion is, can we install this software?
00:02:05: A competitive discussion is if we don't build this do we cease to be relevant?
00:02:10: precisely it's the difference between buying a typewriter and uh buying a printing press.
00:02:16: one helps you write faster The other changes the entire business model.
00:02:20: And this lines up perfectly with what Hannah M Mayer reported from the McKinsey Tech CXO conference.
00:02:25: Yeah, she noted top performers are increasing tech budgets by over ten percent.
00:02:30: But and this is critical for investors listening.
00:02:32: they aren't just buying more chatbot licenses
00:02:35: They're betting on agintic AI
00:02:37: Agentic AI.
00:02:39: that's the buzzword of The Quarter but we really need to define it because It changes the capital requirements completely.
00:02:44: So if I'm understanding the post correctly We're moving from a bot That answers the question To an agent that actually executes workflow
00:02:50: Correct.
00:02:51: It's the difference between asking, how do I reconcile this invoice?
00:02:54: and telling the software reconcile all invoices from Q four?
00:02:58: And flag any discrepancies.
00:03:00: that's a huge leap.
00:03:01: it is an mayor notes That half of all companies now prioritize This above every other tech investment and interestingly she also mentions that two-thirds Of CTOs are now stepping directly into corporate strategy roles
00:03:13: which makes sense.
00:03:13: i mean if The strategy Is the technology then the cto is effectively the co CEO
00:03:20: right.
00:03:20: Anna Weisinger had a really beautiful phrase for this, also from the McKinsey conference.
00:03:25: She said, I
00:03:28: flagged that post too.
00:03:29: it's so good organizations without edges
00:03:32: right.
00:03:32: if intelligence is infrastructure you stop having these rigid handoffs between marketing sales and finance.
00:03:38: The data just flows end-to-end because agents can talk to each other.
00:03:43: but in here where we need get into weeds for our PE listeners yeah building infrastructure is incredibly expensive.
00:03:50: This is the Jevons paradox point that Diana Kern's Manolatos from Deloitte brought up, right?
00:03:55: Yes
00:03:55: exactly!
00:03:56: The Paradox being as a technology becomes more efficient and cheaper you don't use less of it You Use Exponentially More.
00:04:02: So your unit costs go down but total consumption explodes.
00:04:07: It explodes.
00:04:08: Tokens are the new kilowatt hours, that's the unit of cost measurement now.
00:04:11: and as models get cheaper companies integrate them into every single process.
00:04:16: suddenly your cheap AI pilot turns in to a massive operational expense line item
00:04:22: which brings us to Mark Byer Schroder's analysis.
00:04:25: I thought this was the most actionable piece of advice for investors this week.
00:04:29: he argues you have to stop governing AI like software where you just pay license fee.
00:04:36: He actually puts a number on it, which is rare.
00:04:57: Once you cross that
00:04:58: seventy, eighty billion mark the cost of renting just becomes prohibitive.
00:05:03: At that scale ownership of the infrastructure become structurally cheaper.
00:05:07: That is a massive signal for due diligence.
00:05:10: If I'm a VC looking at scaling sauce company...I have to be asking What's your token burn rate?
00:05:17: You HAVE TO!
00:05:18: Because if they're at one hundred million tokens and still paying open AI or Anthropic every single call They are bleeding margin.
00:05:25: Fireshoda calls it strategic self-harm.
00:05:27: You're basically subsidizing your provider's profit margin instead of building your own asset base.
00:05:32: But the shift to intelligence as infrastructure doesn't just change the cost-base, it changes how we value the output of the Kerm itself.
00:05:40: Oh
00:05:41: yeah...
00:05:42: There was a fascinating if a little terrifying take from James O'Dowd about something called the oblong theory.
00:05:47: Ah yes!
00:05:49: The death of the pyramid.
00:05:50: This hits professional services sector so hard.
00:05:53: For decades this model has been a pyramid A few partners at top A layer of managers and a huge base of juniors billing hours to do the grunt work.
00:06:02: And that model works because leverage is profitable, you pay the junior X You build them out at three x simple.
00:06:08: but Odoud argues That egenic ai just flattens that pyramid into an oblong shape.
00:06:14: The AI does the research.
00:06:15: the Ai builds the slide deck?
00:06:17: The AI runs the basic audit.
00:06:19: so the base of the pyramid the junior revenue engine.
00:06:22: it just It evaporates.
00:06:25: It doesn't just evaporate it becomes a cost center.
00:06:27: if the client knows AI can do The grunt work they won't pay for those junior hours,
00:06:31: right?
00:06:32: Odell's point is the value shifts entirely from time to judgment and architecture.
00:06:37: Yeah most valuable people are the ones who can scope the problem and orchestrate the agents.
00:06:41: This is so critical For M&A If you're buying A consultancy or an agency in twenty-twenty six And its valuation Is based on headcount leverage.
00:06:49: You're buying a depreciating asset.
00:06:51: your buying a legacy model that's about To hit a wall.
00:06:54: The winners will be the firms that productize their IP and move to outcome-based pricing.
00:06:58: If you're still selling effort in an era of instant intelligence, You are in trouble!
00:07:03: Big
00:07:03: Trouble
00:07:03: Okay.
00:07:04: so we've got a world where Intelligence is expensive infrastructure And the economic models of services Are being totally rewritten.
00:07:13: But Infrastructure has to live somewhere.
00:07:15: It needs data centers it needs chips it needs energy...
00:07:18: ...and That brings us To our second theme.
00:07:20: The map itself Is changing
00:07:22: the geopolitics piece.
00:07:23: Yes, and I know usually when business leaders hear geopolitics they think risk management
00:07:29: right avoiding sanctions
00:07:31: exactly.
00:07:32: but The sources of this week are saying it's deeper than that.
00:07:35: the entire global operating system is being reinstalled.
00:07:39: Peter Jonathan Jameson from BCG had the best term for this.
00:07:42: he called It a multi nodal patchwork?
00:07:45: It's a great mental model.
00:07:46: There's this narrative out there that globalization dead.
00:07:49: You hear it all the time,
00:07:50: but Jameson argues that's just wrong.
00:07:52: trade is actually growing faster than global GDP.
00:07:54: The stuff is still
00:07:55: moving.
00:07:55: It's just moving differently.
00:07:57: its rewiring Its moving through these specific nodes.
00:07:59: you have the US node.
00:08:00: China know the plural lateralist node the bricks plus block.
00:08:04: so instead of a flat world we Have a clustered
00:08:06: World?
00:08:07: We do and Mark Gilbert takes this to his logical conclusion with a prediction That might sound A little dramatic.
00:08:14: I think they know which one he mean
00:08:15: But I think he's spot on.
00:08:16: He says that by twenty-thirty, the multinational corporation with a central P&L is dead.
00:08:22: Don't stop me in my tracks!
00:08:24: Dead is a strong word...
00:08:25: It is.
00:08:25: but think about the logic.
00:08:27: if The world is split into these distinct nodes With different regulations Different data privacy laws Different tariffs You can't optimize for A single global P& L anymore.
00:08:38: So you have to run it as separate businesses.
00:08:40: You effectively have to running a US business, China business and an India business as seperate entities An aggregation of regional models not one global machine
00:08:50: Which really complicates things for investors?
00:08:51: You aren't just buying global exposure anymore
00:08:53: No!
00:08:54: You need know specifically which node your exposed too.
00:08:57: And looking at the data from Janssen Sainjaya who analyzed a McKinsey report The center gravity for those nodes is shifting east Hard.
00:09:06: The numbers are undeniable.
00:09:07: Sanjaya highlights that up to fourteen trillion dollars in trade value could shift corridors by twenty thirty five.
00:09:13: Fourteen trillion!
00:09:14: But look at the specific industries, he points out that thirty three of the world's forty largest semiconductor corridors involve Asia.
00:09:21: Thirty-three
00:09:22: out of forty?
00:09:23: I mean just think about it.
00:09:23: we spent our first segment talking how AI is a new infrastructure while AI runs on chips.
00:09:30: If eighty percent of the chip corridors run through Asia, you cannot divorce your tech strategy from your Asia strategy.
00:09:37: And Sanjay also mentioned that India is evolving.
00:09:39: it's not just a back office anymore.
00:09:41: No he calls it an innovation nerve center.
00:09:44: India is hosting seventeen hundred global capability centers.
00:09:48: New investment is just flooding into India Japan Vietnam.
00:09:52: These aren't just factories they're R&D hubs.
00:09:54: This raises very uncomfortable question for our European listeners.
00:09:58: If the US is a node and Asia is massive, where does that leave Europe?
00:10:04: That was the defining question at the Munich Security Conference.
00:10:07: Dr.
00:10:07: Mirko Worschen and Dr.
00:10:08: Matthias Faldato from Kearney shared insights in their session there.
00:10:12: The theme was basically Europe player or playground?
00:10:15: Ouch!
00:10:16: Playground implies you're just terrain with real powers compete.
00:10:19: It's harsh reality check.
00:10:21: They hosted Florence Galb from the NATO Defense College, and the takeaway was that you have to assess assets through this lens now.
00:10:28: How so?
00:10:29: Is the company in a player region that sets the rules like data standards, AI safety protocols trade tariffs or is it in a playground region where just has to comply with rules set by others.
00:10:41: That's critical due diligence item.
00:10:43: You're not buying a companies cash flow.
00:10:45: Your buying its regulatory sovereignty.
00:10:47: Exactly Jameson put it best.
00:10:50: You need to assess real exposure, not just theoretical uncertainty.
00:10:53: Don't worry about world peace generally.
00:10:56: Map your specific supply chain against these notes.
00:11:00: if you're chip supply comes from a node you are politically estranged From?
00:11:03: You have a solvency problem Not a sourcing problem.
00:11:06: Okay let's zoom back in.
00:11:07: We've got the AI revolution demanding massive capital.
00:11:10: we've Got a fragmented multi-nodal World map but at The end of day companies Are run by people And looking at the sources on operating models, it feels like the human element is a point of failure right now.
00:11:23: It's The Friction Point!
00:11:47: Cosgrove argues most operating models are just too rigid for this.
00:11:51: They're designed for stability, not speed.
00:11:53: and Heather Stockton notes that finance is actually leading the charge to change This.
00:11:58: she says CFOs are going all in on embedding a genetic AI into finance functions
00:12:03: Which makes sense?
00:12:03: The cfo controls the purse strings And the data.
00:12:06: if you want to force the operating model to evolve You start with the money.
00:12:10: but here's the problem.
00:12:12: You can't Just mandate adaptation from the top down.
00:12:14: no
00:12:15: you can.
00:12:15: And this brings us to the trust gap.
00:12:17: John Romeo from Oliver Wyman shared a statistic that I think every CEO needs to tape their monitor.
00:12:22: It
00:12:22: is staggering!
00:12:24: Romiya reported that seventy-five percent of executives believe they understand the problems their frontline employees face
00:12:30: Which sounds nice and confident.
00:12:31: Until you ask the employees, only one in five workers feel understood.
00:12:35: That's as a fifty-five point gap.
00:12:37: Leaders THINK THEY GET IT.
00:12:39: The workforce is saying YOU HAVE NO CLUE
00:12:41: And Romeo connects this directly to transformation risk.
00:12:44: If you're trying to deploy agentic AI, which scares people because they fear for their jobs or if your shifting a supply chain to Vietnam You need the front line to execute
00:12:53: and if they don't trust you They won't help you
00:12:55: it creates a silent resistance.
00:12:57: Yes Exactly!
00:12:58: The pressure move fast is only widening that gap.
00:13:01: Gideon Slifkin had provocative post about enterprise architects and ignorance is bliss
00:13:06: trap.
00:13:07: I love that title.
00:13:08: Strategists always want more data before they decide.
00:13:11: We crave certainty, but Slifkin's argument is that in a world moving at the speed of AI waiting for perfect data is death.
00:13:19: he suggests That a simplistic attitude making a decision based on what you know now Is often better than paralysis?
00:13:26: But that speed can alienate The workforce even more.
00:13:28: if You're not careful it's A real tightrope.
00:13:31: It is, and we see this tension in specific sectors too.
00:13:34: Johannes Blumell wrote about the energy sector.
00:13:36: he says flexibility as the operating system now.
00:13:39: Meaning what exactly?
00:13:40: Meaning it's not about building one static power plant and walking away...it's about monetizing distributed flexibility.
00:13:46: EVs heat pumps storage units you need an operating model that can handle thousands of moving parts constantly shifting its dynamic not static.
00:13:56: And in retail, Marco Perone from KPMG highlighted that while CEOs are obsessed with AI, .. two percent say supply chain resilience is their biggest headache which
00:14:08: brings us full circle.
00:14:10: yeah you have the digital layer of the AI speeding up but the physical there.
00:14:13: The supply chain is getting harder to manage because of the geopolitical nodes we talked about.
00:14:17: this CEO is pressing the gas pedal on AI But the wheels are stuck in the mud at the supply chain.
00:14:22: That's a great way.
00:14:24: There is one more layer to this human element that we should touch on, specifically for our listeners managing assets in the EU or looking at global compliance.
00:14:32: Evan Benjamin posted about The Rights Gap.
00:14:34: Yes!
00:14:35: This is the regulatory curveball.
00:14:38: Benjamin points out that AI oversight isn't just a technical challenge it's A Human Rights
00:14:42: Challenge.
00:14:43: Okay
00:14:43: He argues that technical audits are not enough.
00:14:46: You need active involvement of equality bodies and national human rights structures.
00:14:50: So you can't have your IT guy check the code for bugs, you have to check the output for structural discrimination.
00:14:57: Exactly!
00:14:58: If your buying a company that relies on AI or hiring and lending or policing You will have massive liability risk if black box violates human rights laws.
00:15:08: It's not just PRRU it is legal one.
00:15:11: So let us try to synthesize all of this.
00:15:13: We've covered a lot ground from token economics to asian chip corridors to psychology of front line worker.
00:15:20: If I'm partner at PE firm What's my Monday morning memo?
00:15:22: I think it comes down to structural redesign.
00:15:25: You can't just tweak your way through twenty-twenty six, okay.
00:15:27: first on AI stop treating It as a tool.
00:15:30: govern in his capital.
00:15:31: watch that eighty billion token threshold.
00:15:34: if you aren't owning Your infrastructure you are leaking value
00:15:37: about it.
00:15:37: second
00:15:38: second on geopolitics Stop trying to be a global firm.
00:15:43: Be a collection of regional firms.
00:15:46: pick your nodes US Asia Europe And build resilience within them, not just between them.
00:15:52: Third and third on the organization You have to close that trust gap.
00:15:57: if your people don't believe you understand their reality They will break under the speed of the change you're trying to drive.
00:16:03: It really feels like The era Of the generalist strategy is over...you can't Just apply a standard playbook.
00:16:09: I think Josh Emdy put it perfectly in one of the posts Architecture is business strategy now.
00:16:13: That's
00:16:14: the line to underline, you can't design a strategy in a boardroom and then hand it to IT later.
00:16:19: The architecture that data flows, security, AI agents defines what the strategies are capable of.
00:16:26: If I get this wrong, they're just a PowerPoint deck
00:16:29: Exactly
00:16:30: And on that note we'll wrap up A huge thank-you for everyone who shared their insights.
00:16:35: We literally couldn't do this show without that collective intelligence.
00:16:38: Absolutely, it's fascinating to watch the conversation evolve in real time.
00:16:42: If you enjoyed this episode new episodes drop every two weeks.
00:16:45: Also check out our other editions on private equity venture capital and M&A.
00:16:49: Thanks for listening And we will catch You On The Next Deep Dive.
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