The Missing Half: Bring Back Blockchain

With the distraction of metaverse mania behind us, now is the time for marketers to put blockchain and Web3 back on their agenda.

The TL:DR is this: AI in marketing won't work without it.

IBM's blockchain research, led by Fellow Jerry Cuomo, identified something most marketing leaders miss: "AI is for all intents and purposes a centralised process. An end user must have extreme faith in the central authority to produce a trusted business outcome."

This "extreme faith" requirement isn't theoretical, it's the primary barrier I see preventing AI marketing from reaching enterprise scale across every industry I track. Cuomo's insight reveals a fundamental architectural flaw that goes beyond technical implementation to organisational psychology and stakeholder trust.

Today's large language models, multimodal AI systems, agentic platforms, and neural networks operate at levels of complexity that make human verification impossible. GPT-4 contains 1.76 trillion parameters. Claude 3 processes information across modalities simultaneously. These systems make decisions based on pattern recognition across datasets too large for human analysis.

Put more simply: we cannot expect to ever truly understand and then stand by the various AI platforms we are utilising. Accepting this, we must also accept that we can take responsibility to own the trust of what we do with them. Here's how:

Let me clear up the biggest misconception hampering strategic thinking in boardrooms across every industry: blockchain technology and cryptocurrency are not the same thing (and both need a lot of work to rebrand themselves in the web3 world)

This confusion has cost organisations years of strategic development time. When I present blockchain infrastructure opportunities to executive teams, I consistently encounter the same reaction: immediate association with Bitcoin volatility, regulatory uncertainty around digital currencies, and skepticism about speculative technology investments.

Cryptocurrency is one application of blockchain: digital money that happens to use decentralised ledgers for transactions. Bitcoin, Ethereum, and other digital currencies represent less than 5% of blockchain's potential applications, yet they dominate public perception and executive understanding.

The resulting strategic blind spot is costly. While marketing leaders debate cryptocurrency relevance, their competitors are implementing blockchain verification infrastructure that creates sustainable competitive advantages in customer trust, regulatory compliance, and operational transparency.

Blockchain infrastructure is a verification system that creates immutable, auditable records of digital activities. Think of it as automated notarisation for the digital age: a way to prove that something happened, when it happened, who was responsible, and that it hasn't been altered since.

Here's a simple analogy that cuts through technical complexity: if the internet is like a global highway system enabling information to flow between destinations, blockchain is like an automated toll system that creates permanent, tamper-proof records of every journey. You don't need to understand the technical mechanics of toll collection to benefit from the traffic management, accountability, and analytics it provides.

For marketing applications specifically, blockchain provides three critical capabilities that directly address AI's trust barriers and create competitive advantages that compound over time:

Every AI-generated asset, from personalised email content to dynamic video advertisements, from social media posts to product descriptions, receives a cryptographic fingerprint stored on immutable ledgers. This fingerprint includes creation timestamp, author identification, complete editing history, data sources used for generation, and algorithmic parameters that influenced content creation.

Instead of customers surrendering personal data to your central servers (the traditional model that creates privacy risks, regulatory compliance challenges, and customer trust concerns), blockchain enables cryptographic data sharing where individuals maintain ownership and control while allowing AI access to necessary information for personalisation.

AI recommendations become auditable through blockchain provenance tracking that records every element of the decision-making process. Every training dataset, algorithmic update, decision parameter, model modification, and outcome gets recorded immutably, transforming AI from mysterious black boxes into verifiable systems that stakeholders can understand and validate.

Here's the strategic insight most marketing leaders miss, the one that separates forward-thinking teams from those that will struggle with AI scaling: AI and blockchain aren't competing technologies, they're complementary infrastructures that solve different halves of the trust equation.

AI excels at: Pattern recognition across massive datasets, content generation at unprecedented scale, predictive analytics with superhuman accuracy, personalisation that adapts in real-time, automated decision-making that operates 24/7

Blockchain excels at: Verification of digital processes, authentication that can't be forged, immutable record-keeping that survives system changes, decentralised consensus that eliminates single points of failure, cryptographic security that scales globally

Notice the perfect complementarity:

AI generates personalised content → Blockchain verifies authenticity and tracks provenance → Result: Customers trust AI-created materials because they can verify origin and editing history

AI makes automated decisions → Blockchain creates auditable trails for compliance → Result: Regulators approve AI implementations because decision-making processes are transparent and verifiable

AI processes customer data → Blockchain ensures privacy-preserving data sovereignty → Result: Consumers engage more deeply because they control data usage rather than surrendering information

AI optimises campaigns → Blockchain provides transparent performance verification → Result: Leadership gains confidence in AI recommendations because results can be independently validated

If you're investing millions in AI transformation while ignoring blockchain infrastructure, you're building on an unstable foundation that will constrain your AI capabilities precisely when they become most valuable.

This isn't about following technology trends or preparing for some distant future. This is about recognising that the teams treating web3 infrastructure as seriously as AI capabilities will define the competitive landscape in the next 18 months.

The companies getting this right aren't choosing between AI and blockchain, they're building integrated infrastructure where AI provides intelligence and blockchain provides verification. The results are transforming competitive dynamics across every industry I track.

LVMH's AURA Consortium: Luxury Authentication Revolution

LVMH partnered with Microsoft and ConsenSys to create the AURA blockchain platform, now used by Prada, Cartier, and Mercedes-Benz. The system combines AI product recognition with blockchain provenance tracking, addressing the $50 billion annual loss to counterfeits while enabling verified marketing claims about authenticity.

Results: 90% reduction in counterfeit disputes, 40% higher customer lifetime value for authenticated products, and sustainable differentiation in luxury markets where authenticity is paramount.

Walmart's Supply Chain Intelligence: From Opacity to Transparency

Walmart's blockchain-enabled supply chain combines AI demand forecasting with immutable product tracking, improving supply chain accuracy from days to 2.2 seconds while supporting sustainability marketing with cryptographic proof.

Results: 99.97% improvement in product tracking speed, 60% reduction in food waste through better demand prediction, and measurable consumer trust advantages in safety-conscious market.

These aren't isolated successes, they represent a systematic approach that any team can replicate:

Step 1: Identify High-Value Verification Opportunities Focus on marketing claims that currently require customer faith: authenticity assertions, sustainability promises, performance guarantees, safety assurances.

Step 2: Implement AI-Blockchain Integration Deploy AI systems that generate insights while blockchain systems verify those insights. The combination creates capabilities neither technology enables independently.

Step 3: Market Verification as Competitive Advantage Transform verification infrastructure from operational capability to marketing differentiation. Customers increasingly value brands they can trust over brands they must believe.

By 2026, AI agents will handle purchasing decisions for everything from routine office supplies to complex enterprise software. When marketing targets machines rather than humans, verification becomes the primary differentiation mechanism.

Traditional marketing fails in agent-to-agent commerce because:

Blockchain-verified marketing succeeds because:

The agencies and brands that survive this transition will be those that understand they're no longer in the persuasion business—they're in the information architecture business. They need to make their brands discoverable, comparable, and trustworthy to algorithms rather than humans.

Brandflow is written by Justin Billingsley, who has spent his career on all three sides of the industry's table: senior client, global agency leader, technology founder. First published 18 August 2025 in the Brandflow newsletter on LinkedIn.