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Exponential Executives
Confidential
Prepared for IoT Division

Transforming IoT
Through Exponential
Intelligence

A modular innovation programme by Innovation Network. Five executive dinners at the core, with masterclass add-ons that transform how your leadership thinks, decides, and builds.

McKinsey Feb 2026: KPN is a case study for agentic AI in telecom
$100B
Gen AI value for global telecom sector
10pp
ROIC & EBITDA margin increase for AI leaders
91%
Of telecom jobs require fundamental redesign
12%
Of telcos report sizable AI impact today

The gap between AI leaders and laggards is widening. Fast.

McKinsey's survey of 49 global telecom operators (Dec 2025) reveals an inflection point. KPN is already leading with agentic AI. The question is: how do you scale that advantage across your IoT division?

"Agentic AI may be the first technology capable of altering that trajectory. Unlike earlier automation tools that improved individual tasks, AI agents have the potential to reshape entire workflows."
McKinsey, "Telcos' AI Inflection Point", February 2026

KPN in the McKinsey Report

  • Voice-to-voice agentic AI handling end-to-end interactions
  • Prioritised 6 of 18 use cases (invoice agent, generic Q&A)
  • Analysed subintents: defective modems, router replacements, no-dial-tone
  • Leaders "tear down processes from scratch" rather than layering AI on legacy
Keynote presentation
Wine service
Data presentation

One modular programme. Three dimensions of transformation.

Core package plus modular add-ons. Pick what fits KPN IoT's priorities. Every component reinforces the others.

Core Package
Innovation Dinners
Five exclusive executive dinners with curated keynotes, facilitated dialogue, and an Innovation Network of peers tackling the same exponential challenges.
  • Format 5 evenings
  • Audience IoT leadership team
  • Style Keynote + roundtable
  • Frequency Bi-monthly or custom
Add-on Module
Exponential Executives
One-day masterclass that rewires how executives think about exponential change. Three Mindshifts. Not theory. Hands-on transformation.
  • Duration 1 full day
  • Capacity Max 10 executives
  • Format 3 Mindshifts framework
  • Outcome AI-first leadership lens
Add-on Module
Vibecode Masterclass
Three days of hands-on AI building. Executives go from zero to deploying working AI applications. Speed of Learning methodology. No prior coding required.
  • Duration 3 full days
  • Capacity Max 10 participants
  • Format Build, ship, iterate
  • Outcome Working AI prototypes

Innovation Dinners

Five evenings that expand how KPN IoT leadership sees the landscape. Each dinner features a curated keynote on a frontier topic, followed by facilitated roundtable discussion with peers navigating the same exponential shifts.

Curated Keynote
Frontier topics at the intersection of AI, IoT, and exponential technology. Speakers from Innovation Network's expert roster.
Facilitated Dialogue
Structured roundtable. No pitch decks. Real strategic challenges, real peer exchange, real decisions.
Network Effect
Access to Innovation Network's executive community. Relationships that compound across all five evenings.
Agents of Change keynote
Mindset presentation
Restaurant venue presentation

Three Mindshifts. One Day. A New Operating System for Leadership.

Not a prompting workshop. Not a TED talk. A one-day immersion that fundamentally rewires how executives understand exponential change, AI orchestration, and organisational agility.

1

You Are Already Obsolete. And That's the Opportunity.

Your current expertise has an expiry date. The leaders who thrive are those who treat their own obsolescence as a strategic advantage, not a threat.

2

You Are the Orchestrator.

The executive's role shifts from decision-maker to orchestrator of human and AI capabilities. Managing agents, not just people.

3

Your Company Is a Launchpad, Not a Fortress.

The organisations that win aren't defending positions. They're launching experiments. Continuous deployment of strategy, not five-year plans.

Three Days. From Zero to AI Builder.

The Speed of Learning methodology. Executives build real AI applications with their hands. No prior coding experience required. The fastest path from sceptic to builder.

Day 1
Foundation: The AI Landscape
Understanding the current AI stack. From LLMs to agents to multi-modal systems. Hands-on: your first AI interaction, prompt engineering, understanding what's possible.
Day 2
Building: Vibe-Coding in Practice
Build your first working AI application. No-code and low-code approaches. Each participant builds something relevant to their role. Speed of Learning: learn by shipping.
Day 3
Scaling: From Prototype to Strategy
Turn your prototype into a strategic proposal. Integration patterns. Deployment thinking. Present your build to the group. Leave with a working demo and a plan.
Premium venue setup
Full venue overview
Gourmet bitterballen
Engaged executive

Build Your Package

Start with the dinner series. Add masterclasses to deepen the transformation.

5x Innovation Dinners
Included in all packages
Exponential Executives
+€25,000 · click to add
Vibecode Masterclass
+€25,000 · click to add
Engage — 5x Innovation Dinners — €60,000
Gourmet dessert
Executive conversation
Dinner venue blue lighting

Programme Packages

Three ways to engage. Each tier builds on the last. All pricing excludes BTW.

Engage
Innovation Dinner Series
€60,000
excl. BTW
  • 5 exclusive Innovation Dinners
  • Up to 20 C-level guests per dinner
  • Premium venue + 5-course experience
  • Curated keynotes on frontier topics
  • Facilitated roundtable discussions
  • ~100 C-level touchpoints across programme
  • Post-event follow-up per dinner
  • Dedicated pipeline tracking
  • No masterclass included
  • No hands-on AI building
Get Started
Shape
Full Transformation Programme
€110,000
excl. BTW
Save €15,000 vs. separate booking
  • Everything in Lead
  • 5 Innovation Dinners
  • Exponential Executives (1 day)
  • Vibecode Masterclass (3 days)
  • Both masterclasses included
  • Up to 10 executives per masterclass
  • Full leadership + builder transformation
  • Priority scheduling across Q3-Q4
  • Executive sponsor debriefs
  • Programme impact report
Start the Conversation
Optional: Taxi Service
~€150 per guest
Optional: Video Recording
€5,000 per event
Single Dinner (one-off)
€15,000 per dinner
Track Record

The room you'll be joining

These organisations have trusted us to convene their most senior leaders around the topics that matter most.

Adyen Stripe Capgemini Nextview New Rocket Platformation Pierce Washington Frankly Forward Wolfpack
15+
Executive dinners delivered
200+
C-level executives hosted
20
Max guests per dinner
Innovation Dinner venue
Executive networking

Executives from these companies have attended our dinners

KPN ING Philips Heineken ASML Unilever Achmea Rituals FrieslandCampina Rabobank JDE Peet's Brenntag Siemens Inter IKEA ASR Nationale Nederlanden Air France KLM Damen Shipyards Eurofiber Databricks Atlassian IMCD Geldmaat Boskalis Swiss Sense Randstad Digital Canon Medical TNO KPMG

Your Programme Partners

Aragorn Meulendijks
Futurist, Innovation Network. AI, robotics, and exponential change.
Patrick Willer
Co-founder, Innovation Network. Executive coaching and strategic foresight.
Jelmer Peerbolte
Speed of Learning. AI training methodology and vibe-coding curriculum.
Aragorn Meulendijks and Patrick Willer

Innovation Network

Aragorn and Patrick bring together executives from Salesforce, ServiceNow, and dozens of other organisations navigating the exponential age. Their Innovation Dinners create the space where strategic foresight meets real-world practice.

This isn't a consultancy pitch. It's an invitation from practitioners who build, test, and ship AI every week.

Aragorn MeulendijksFuturist & AI Practitioner
Patrick WillerStrategic Foresight & Coaching
Included

We built you a Market Intelligence Dashboard

A complimentary, AI-generated executive brief on the AIoT opportunity for KPN. This is what we do: turn complexity into clarity using artificial intelligence. Imagine what we could build together.

What would it mean for KPN IoT to have this in place by Q3?

No commitment yet. Just a conversation about what's possible and whether it fits.

Start the Conversation
Executive Intelligence Brief

KPN IoT: Market & AI Intelligence Dashboard

Data-driven analysis of the AIoT opportunity in the Netherlands. Sources include McKinsey (Feb 2026), IDC, IoT Analytics, MarketsandMarkets, Mordor Intelligence, and other verified industry references.

Market Overview
The AIoT market is entering hyper-growth. Multiple analyst firms converge on strong double-digit CAGR.
AIoT Market 2030 High Confidence
$81B
Projected AIoT market size
From $25.4B in 2025 | 26.1% CAGR (MarketsandMarkets)
Connected IoT Devices High Confidence
39B
IoT devices by 2030
21.1B today, growing 14% YoY (IoT Analytics)
Telecom Gen AI Value (Global) High Confidence
$100B
Gen AI value capture for telecom
+ $180B traditional AI productivity gains (McKinsey)
Enterprise IoT Adoption High Confidence
80%
Enterprises using cellular IoT by 2029
44% increased budgets 10%+ in 2026 (IDC)
LoRaWAN Devices High Confidence
125M
Deployed globally in 2025
25% CAGR | 360 alliance members (LoRa Alliance)
Edge Computing Growth High Confidence
+56%
Edge deployments grew in 2025
45% of enterprises deploying edge AI by 2028
Dutch Market Opportunity
The Netherlands offers uniquely fertile ground for AI-IoT, with government backing and world-leading infrastructure.
Smart Farming NL High Confidence
$1.5B
Netherlands smart farming IoT market
World's #2 agricultural exporter
Green Deal Funding High Confidence
€100M
Dutch government funding for IoT + precision agriculture
Green Deal for Smart Agriculture
KPN OpEx Target High Confidence
€100M
Annual OpEx savings target by 2030
KPN Annual Report 2025
Dutch Verticals: KPN Fit Analysis
Agriculture
$1.5B market, EUR 100M govt funding, LoRa ideal
Very Strong
Smart Cities
Amsterdam, Rotterdam, Utrecht. National LoRa network.
Very Strong
Logistics
Port of Rotterdam, Schiphol. Multi-tech IoT.
Strong
Healthcare
Active digitization, RPM growth, trusted provider
Strong
Manufacturing
ASML, Philips, NXP, food. Private 5G/Campus.
Strong
AI-IoT Use Case ROI
Predictive Maintenance
Manufacturing: 43% less unplanned downtime
3-6mo
Digital Twins
$1.2-3.5M annual savings per facility
$200-600K
Precision Irrigation
Agriculture: up to 50% water reduction
50%
Smart Lighting
Cities: energy consumption reduction
30-50%
Remote Patient Monitoring
Heart failure: fewer hospital readmissions
-45%
The IoT Transformation: From Connectivity to Autonomy
The entire telecom-IoT industry is shifting from selling pipes to selling outcomes. Agentic AI is the inflection point.
Revenue Model Evolution Strategic Insight
Connectivity-as-a-Service
SIM, data plan, network access
Low Margin
Platform-as-a-Service
Device mgmt, data routing, APIs
Medium
Intelligence-as-a-Service
AI analytics, anomaly detection
Higher
Outcome-as-a-Service
Pay-per-outcome, uptime guarantees
Highest
Telecom AI Adoption
66%
Increasing AI Budget
Scaling AI across domains57%
Deploying agentic AI>50%
Capturing sizable impact12%
Agentic AI Capabilities in IoT
Self-healing networks
Outages reduced up to 45%
Production
Autonomous provisioning
Real-time network slicing by AI agents
Scaling
Prescriptive maintenance
From predict to act: schedule, order, reroute
Emerging
Multi-agent NOCs
Parallel agent operations across domains
2026
Workforce Impact Urgent
91%
Jobs Redesigned
Workforce remade by human-agent automation~50%
Hours automated by 203030%
Telco has 2x the automation potential of most sectors. 70% people, 20% process, 10% technology. (Vikram Sinha, CEO Indosat)
EU AI Act: The Compliance Moat
The August 2026 deadline for high-risk AI systems creates a structural advantage for trusted, European-based providers like KPN.
EU AI Act Timeline High Confidence
Feb 2025
Prohibited AI systems banned
Social scoring, manipulative AI in IoT prohibited
Aug 2025
General-purpose AI obligations
Foundation models used in IoT analytics must comply
Aug 2026 — 4 Months Away
High-risk AI requirements enforceable
Most industrial AI-IoT applications affected. Up to EUR 35M or 7% of turnover for violations.
Aug 2027
AI in regulated products
Embedded AI in medical devices, machinery, vehicles
KPN's Compliance Advantage Strategic
Compliance-as-a-Service
Pre-certified AI-IoT platform components
Data Sovereignty
Dutch/EU data stays on EU infrastructure
Audit Infrastructure
Logging, monitoring, human oversight as platform features
Trusted Intermediary
National incumbent managing IoT + AI + compliance
Strategic Implication
The EU AI Act transforms compliance from cost centre to competitive moat. KPN can position as the "compliant by default" platform, making regulatory navigation a premium service rather than an enterprise burden.
Competitive Landscape: Netherlands IoT
KPN's national incumbency and full-stack IoT platform create defensible home-market advantage. But competitors are moving fast.
Operator IoT Strengths AI / Intelligence Play KPN Threat Level
KPN National LoRa, KPN Things, LTE-M, satellite (OQ Technology) Microsoft Partner of the Year 2025, emerging AI platform Home Advantage
Vodafone NL Global IoT scale, pan-European reach, hyperscale vision Digital platform pivot (5G, cloud, APIs), advanced High Threat
T-Mobile NL Growing cellular IoT, DT backing Parent investing in NTN satellite IoT (Iridium, 2026) Medium Threat
Deutsche Telekom European Edge Continuum (5 operators), NB-IoT roaming 18 countries Deep AI investment, autonomous network ambitions High Threat
KPN's Differentiators
National LoRaWAN coverage
Guaranteed through 2030. Ideal for agriculture + cities.
Full-stack IoT platform
KPN Things: connectivity + hardware + data + apps
Microsoft partnership
Azure OpenAI integration, Country Partner 2025
Satellite IoT
OQ Technology for 5G IoT beyond terrestrial coverage
EU compliance position
Dutch data sovereignty, GDPR-native infrastructure
Risk Factors for KPN IoT Watch
Execution complexity
Telcos historically struggle to build platform businesses
Hyperscaler competition
AWS IoT, Azure IoT, Google Cloud IoT are mature
18-24 month window
Delayed execution risks commoditisation of intelligence layer
Skills gap
Data scientists, ML engineers, IoT solution architects needed
Future Scenarios: KPN IoT 2026-2030
Based on McKinsey, Ericsson, IDC, IoT Analytics, and Mordor Intelligence projections. What does the next 5 years look like for KPN IoT, and what happens if they act now versus wait?
The IoT Intelligence Horizon Strategic Timeline
Now
KPN Things platform live. LoRa national. AI emerging.
Aug 2026
EU AI Act high-risk deadline. First-mover compliance window closes.
2027
Agentic AI in production NOCs. Multi-agent IoT orchestration.
2028
45% enterprises deploy edge AI. Outcome-as-a-Service models mature.
2030
39B IoT devices. $81B AIoT market. Intelligence layer commoditizes.
Revenue Impact by 2030
+10pp
ROIC/EBITDA margin increase (McKinsey leader benchmark)
€100M
Annual OpEx savings target achievable through AI-native operations
3-5x
IoT ARPU increase from connectivity to outcome-based pricing
Market Position
#1
Dutch AI-IoT platform, anchored by compliance moat + national LoRa
$1.5B
Addressable agriculture market with first-mover positioning
EU
Compliance-as-a-Service becomes exportable to other markets
H2 2026
Compliance Moat Established
KPN becomes the default "compliant by design" AI-IoT platform in NL. Enterprises choose KPN over hyperscalers for EU AI Act compliance. Pre-certified components reduce customer onboarding from months to weeks.
Based on: EU AI Act Aug 2026 deadline, KPN data sovereignty position
2027
Vertical Dominance: Agriculture + Logistics
National LoRaWAN + AI analytics captures dominant share of Dutch precision farming. Port of Rotterdam partnership scales to full autonomous logistics monitoring. Government funding (EUR 100M Green Deal) accelerates adoption.
Based on: $1.5B NL agriculture market, EUR 100M Green Deal, LoRa to 2030
2028
Platform Flywheel Accelerates
KPN Things evolves to KPN Intelligence. Third-party AI services on API marketplace. Edge AI deployments at 45% enterprise penetration. Revenue model shifts toward Outcome-as-a-Service for anchor verticals.
Based on: 45% edge AI deployment projection (IDC), platform revenue models
2030
Autonomous IoT Operations
Full agentic AI orchestration across IoT network. Self-healing, self-provisioning, self-optimizing. Multi-agent NOCs handle 80%+ of incidents without human intervention. EUR 100M OpEx savings realized.
Based on: McKinsey 30% workforce automation, Ericsson Level 5 network vision
What KPN Loses
18-24mo
Window for platform leadership closes. Intelligence layer commoditizes.
0
Compliance first-mover advantage after Aug 2026 deadline passes
-30%
IoT margin erosion as connectivity becomes pure commodity
Who Takes the Market
Vodafone
Global IoT scale + hyperscale platform pivot already underway
DT
European Edge Continuum (5 operators) + NB-IoT roaming 18 countries
AWS/Azure
Hyperscalers own the intelligence layer, telecoms become dumb pipes again
The McKinsey Warning Critical
88%
of telcos have NOT yet captured sizable AI impact. The majority are stuck in "pilot purgatory."
Widening
The gap between AI leaders and laggards is accelerating. Leaders compound advantages; laggards fall further behind each quarter.
Legacy Trap
Layering AI on legacy processes fails. McKinsey: only full process redesign from scratch delivers results.
2026
The Agentic Breakout Year
Rakuten, Ericsson, and McKinsey converge: 2026 is when agentic AI moves from pilot to production in telecom. Multi-agent NOCs begin operating. Agentic AI in manufacturing quadruples from 6% to 24% adoption. Smart manufacturing globally hits 47%.
Deloitte, Rakuten Symphony, Ericsson, McKinsey (Feb 2026)
2027
Autonomous Networks Emerge
Ericsson's Level 5 autonomous network vision begins materializing. Intent-driven operations replace rule-based automation. AI agents specify desired outcomes; networks self-optimize to achieve them. Cross-domain coordination becomes standard.
Ericsson autonomous networks roadmap, industry consensus
2028
Edge AI Reaches Critical Mass
45% of enterprises deploy edge AI inferencing. Processing at device/gateway level enables millisecond responses. Private 5G networks provide deterministic low-latency connectivity for real-time autonomous operations. Digital twins transition from static to intelligent.
IDC, Tietoevry, multiple analyst firms
2029
Cellular IoT Saturation
80% of enterprises leverage cellular IoT applications. 6.4 billion cellular IoT subscriptions globally (up from 3.8B in 2024). Connectivity fully commoditized. Only operators with intelligence layers maintain premium pricing.
Ericsson Mobility Report, IDC Enterprise Survey
AIoT Market Trajectory High Confidence
2025: $25.4BBaseline
2027: ~$40B (projected)+58%
2030: $81B (projected)+219%
MarketsandMarkets, 26.1% CAGR
IoT Devices Growth High Confidence
2025: 21.1B devicesBaseline
2027: ~28B (projected)+33%
2030: 39B (projected)+85%
IoT Analytics, 13.2% CAGR
Telecom AI Maturity Medium Confidence
2026: 12% capturing impactToday
2027: ~40% (projected)Inflection
2030: ~75% (projected)New normal
McKinsey trajectory, analyst consensus
The Inflection Point
McKinsey's analysis is unambiguous: the gap between AI leaders and laggards in telecom is widening rapidly. The time to act is now.
Leaders
Treat agentic AI as a full-scale execution layer. Tear down processes from scratch. CEO-led sponsorship. End-to-end transformation, not piecemeal. Disciplined organisational redesign.
+10pp ROIC
Laggards
Layer AI on legacy processes. Stuck in pilot purgatory. Fragmented or duplicative AI use cases. Growing investment without growing impact. "Failed to gain real value."
Gap widening rapidly
The KPN Question
How does KPN IoT scale from McKinsey case study to full-scale transformation?
That's what this programme is designed to answer.

Sources & References

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