Marketing trends 2026: ai, data and human creativity
Marketing trends 2026: AI, data and human creativity beyond the hype
In 2026, marketing does not just change tools, it changes the way work is actually done.
AI, retail media, answer engines and new privacy rules are reshaping the rules of the game and making growth more complex (but also more measurable, if the right data is available).
For a CMO, and for everyone working in marketing within a company, the point is very practical: delivering clear results under budget pressure, while customers expect faster, more personalized and more consistent experiences across all channels.
In summary
2026 is not the year of “micro-trends”, but the year in which AI, data and creativity become infrastructure.
AI stops being an experimental project and becomes integrated into planning, execution and measurement processes.
Search blends with answer engines and commerce, retail media becomes the third leg of the media mix, and privacy pushes toward first-party data and more robust measurement models.
For CMOs, this translates into three priority workstreams: building a credible data+AI stack, rethinking visibility across traditional, generative and commerce engines, and preserving competitive advantage where AI alone cannot reach: strategy, creativity and deep customer understanding.
The point is not to use AI, but to use AI to make better and defensible decisions even in front of the CFO and ownership.
2026: the year AI stops being a project and becomes infrastructure
Over the past two years, many companies have played with generative AI: small tests on copy, on-the-fly image generation, isolated automations for reporting and analysis. Official data shows that this experimental phase is still dominant, especially among SMEs.
In 2026, this level of artificial intelligence adoption will no longer be enough. The fastest-growing players are moving from isolated initiatives to AI-native platforms, where agents and language models are embedded into daily marketing activities.
For a marketing department, this means shifting the focus from the single prompt to process design.
It is not particularly interesting to have a copywriter using AI to speed up writing if media planning, audience management and performance analysis remain manual and slow.
It becomes interesting when:
- AI agents feed and clean the data warehouse, integrating data from media platforms, CRM, e-commerce and customer care;
- campaign planning relies on simulations and scenarios, not just benchmarks and generic best practices;
- models synthesize market research, sentiment, trends and performance into materials useful for boards and CFOs, translating technical complexity into clear decisions.
In this logic, HTT works with AI as a process engine: automating where humans add no value, freeing up time and attention for internal teams to focus on strategy, creativity and customer relationships.
The goal is not to replace marketing, but to allow marketing to finally do the job it is paid for: driving growth through informed choices.
ISTAT 2025 data confirms that Artificial Intelligence has entered a phase of real acceleration also among Italian enterprises.
Today, 16.4% of companies with at least 10 employees use AI technologies, a figure that doubles compared to 2024 (8.2%) and triples compared to 2023 (5.0%). This is a clear leap, marking the transition from early adoption to a first systemic diffusion. Behind this growth, however, lies uneven maturity: large enterprises exceed 30% adoption, while SMEs, although growing rapidly, still lag behind, and geography matters (with North-West Italy accelerating faster).
The key point is not just how many companies use AI, but how: in most cases, usage focuses on text-based knowledge extraction and generative AI, often still weakly integrated into business processes.
ISTAT also clearly highlights the main barriers to structured adoption: lack of skills, difficulty accessing usable data, perceived costs and regulatory uncertainty around privacy and responsibility. Nearly 60% of companies that have not invested in AI cite skills shortages as the primary obstacle. This reinforces a central point for 2026: competitive advantage does not come from using AI per se, but from the ability to embed it within a clear organizational design.
Where processes, ownership and measurable objectives are missing, AI remains a collection of isolated tools; where a data strategy, shared governance between marketing, IT and finance and a credible measurement model exist, AI becomes a concrete lever for productivity, decision speed and accountability toward the CFO and ownership.
AI-native search and answer engines: visibility is also won inside LLMs
For years, being discoverable essentially meant one thing: ranking on Google.
Today and in 2026 the scenario is more complex:
AI Overviews, AI Mode (AI-powered SERP experiences), answer engines such as ChatGPT, Gemini, Claude, Perplexity, internal search engines of social platforms and marketplace recommendation systems are turning discovery into a continuum that spans search, social and commerce.
The operational consequence is clear: traditional SEO remains fundamental, but it is no longer sufficient.
It is necessary to work on AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization): producing structured content rich in verifiable information, with clear hierarchies, FAQs, concrete examples and authority signals, so that language models have good reasons to cite you when answering customer questions.
In practice, your goal is not only to rank for “best memory foam mattresses”, but to be mentioned when someone asks an LLM “which mattress is best for people with back pain?”.
Not just for “summer high-heel shoes”, but when the query becomes “how should I choose high-heel shoes for a seaside date with a new boyfriend with a maximum cost of €100? I have a silver sequin knee-length dress!”.
For HTT, this translates into content designed from the outset with an AI-native mindset: articles, guides, product sheets and category pages built to truly inform, with data, comparisons, use cases and examples, supported by structured markup, so they can be read effectively by both Google and generative engines.
This is work that requires method, not slogans.
Retail media and commerce media: the search–social–retail triad
In 2026, retail media—advertising carried out within retail environments—is now the stable third leg of the media mix, alongside search and social.
Global marketplaces and major retail chains have realized that their main asset is not just traffic, but the combination of traffic, purchase data and the ability to close the loop between impression and sale within the same environment.
For a B2C brand, this means thinking across three levels simultaneously.
On one side, a presence strategy on third-party retail media platforms is required: Amazon, vertical marketplaces, grocery retailers and specialized chains.
On the other, where traffic and volumes allow, it may make sense to build a proprietary “micro retail media network”, monetizing spaces and data with complementary brands.
In between lies coherence: what you do on Google, Meta, TikTok and YouTube must align with what you do inside commerce environments.
Complexity increases because each retailer has different metrics, formats, attribution windows and tools.
Here, an agency is useful only if it does more than manage campaigns, but helps define the role of each channel in the funnel, integrates performance data with the rest of marketing and delivers a unified reading: how much retail media is actually contributing to growth, net of cannibalization and overlap with other channels.
For understanding what these trends mean when they touch real markets, it is worth looking at two very different yet equally digitally advanced areas: the DACH region (Germany, Austria, Switzerland) and Italy.
DACH focus: what a mature market tells us
If we want to understand where 2026 trends are really heading, the DACH market is a strong laboratory.
Germany, Austria and Switzerland enter 2026 with nearly universal digital habits: in Germany around 95% of people aged 16 to 74 are online and more than three quarters already shop online at least once a year. E-commerce has returned to growth after a difficult macroeconomic phase and, at the same time, pressure on margins and trust is at its highest levels.
Search remains strongly Google-centric, but the ecosystem is no longer just “search + social”.
The standard mix for high-performing brands is made up of a proprietary shop combined with multiple marketplaces, rapidly growing retail media and social commerce moving from content-only to in-app sales, also driven by TikTok Shop. In the background, Asian platforms are shifting the mental price anchor: millions of consumers see “good enough” products at very low prices every day, forcing European brands to seriously work on positioning, perceived value, bundles and services.
Payments and logistics tell another part of the story. In Switzerland, invoice-based payments remain the most widely used, local wallets such as Twint continue to grow, and buy now pay later solutions are gaining traction especially among younger consumers.
In parallel, new European customs rules—with the end of the sub-€150 exemption under discussion, fixed contributions for extra-EU parcels being debated at EU level for 2027–2028, and in Italy a proposal for a €2 per-parcel levy—along with direct platform responsibility for VAT and product safety, make reliance on low-cost imports less straightforward. Sustainability and circularity move from slogans to business levers: re-commerce, refurbished and take-back programs become revenue streams, while CO₂ labels and delivery emissions reporting increasingly influence purchasing decisions, especially for Gen Z, which rewards brands that can demonstrate—not just declare—their commitments.
In this context, AI is not a special project, but part of daily operations: predictive pricing, content generation and translation, customer support, workflow automation and migration toward cloud stacks with integrated AI capabilities.
It is a useful reminder for Italian CMOs as well: 2026 trends should not be chased as fashions, but turned into decisions on channels, pricing, logistics and technology that can stand up to comparison with more advanced markets such as DACH.
Italy focus: a mature market that cannot afford missteps
Italy is now a mature digital market.
According to official data, in 2024 86.2% of households had Internet access, a figure that rises above 93% among those with at least one member aged 16 to 74, in line with the European average. Online penetration is high: more than 50 million people regularly use the Internet
and nearly half of those who were online in the past 12 months have made at least one e-commerce purchase.
B2C e-commerce is no longer a niche: online purchases by Italians are worth nearly €60 billion, growing year over year, with the product component alone around €40 billion.
If we widen the view to the entire value chain, the contribution reaches around 7% of GDP, with tens of billions in tax revenue.
In other words, every decision on channels, experience and attribution models has real effects on the country’s accounts, not just on the performance of a single e-commerce business.
On the payments front, the shift is also evident: digital wallets and cards (credit and prepaid) now cover the majority of online transactions, while cash on delivery has become marginal.
The combination of multiple payment methods is the norm, with growing attention to installment solutions and BNPL (Buy Now, Pay Later) for higher-value purchases.
For brands, this means trust is built on three levels: clarity on pricing and conditions, perceived payment security and the quality of the post-purchase experience (returns, support, delivery).
In this context, entering 2026 with a strategy focused only on performance or only on platforms is not sufficient.
The Italian market has the scale of a major digital economy, but with tighter margins and customers sensitive to price, service and brand values.
Working seriously on AI, data, measurement and positioning is not an early-adopter luxury: it is the concrete way to remain competitive in an ecosystem where e-commerce increasingly weighs on GDP and company P&Ls.
Privacy-first and first-party data: the real currency of marketing in 2026
Deadlines for third-party cookies have shifted multiple times, but the direction is clear: building strategies that do not depend on fragile external identifiers.
In 2026, brands that perform well will be those with a curated first-party data asset, consent handled transparently and respectfully, and a measurement infrastructure designed to withstand the limits of traditional tracking.
For a CMO, this translates into concrete choices.
First of all, it means stopping the habit of thinking about customer data as a newsletter database and starting to treat it as a strategic asset to be nurtured: clear value propositions in exchange for data, simple registration journeys, and real benefits for users who identify themselves and are recognized across touchpoints.
In parallel, a credible data layer is needed: a data warehouse or CDP, a shared data schema between marketing, IT and sales, and serious work on data quality.
On the measurement front, the answer cannot be “we can no longer measure anything”.
The shift is from an illusion of 1:1 precision to a mix of models: digital attribution where it is still reliable, incrementality tests for key decisions, Marketing Mix Modeling for larger budgets, and predictive models that help decide how to move investments across channels in the medium term.
HTT works precisely on this: transforming raw data into insights readable by marketing and finance, without selling dashboards for their own sake.
Another useful signal from ISTAT 2025 data is that basic digitalization in Italian enterprises is becoming the norm: cloud usage is growing and more companies are performing data analysis, but this does not automatically translate into better decisions or more robust measurement. In many organizations, infrastructure arrives before governance: data scattered across platforms, uneven quality, unclear ownership between marketing, IT and finance. This is where, in 2026, the difference between adoption and competitive advantage is made: not by having more tools, but by turning cloud and data into repeatable processes, shared KPIs and defensible decisions even in front of the CFO.
AI everywhere, but competitive advantage remains human
Looking inside major communication holding companies, the message is surprisingly aligned: AI will soon be everywhere, embedded in media planning, creative production and analysis, but the real difference will still be made by the human ability to read contexts, understand people and build coherent narratives over time.
Some frameworks speak of three human truths that resist algorithms: the need for simplicity, the need for social connection, and the need for authentic attention.
Simplicity does not just mean minimalist design, but understandable purchase journeys, clear choices, and messages that do not force customers to decode labyrinths of options and conditions.
Social connection is not about having many followers, but about creating contexts where people feel they belong to something and can interact with each other and with the brand in a credible way.
Authentic attention means producing content that is worth the time you ask of your audience.
AI can help generate variants, rapidly test messages and adapt content to context, but it cannot decide on its own which story is right to tell for your brand or what is coherent with the values and position you want to occupy.
In 2026, the risk is not not using AI, but using it to generate a lot of noise and little substance.
The question becomes: which parts of our marketing should be scaled with AI and which should remain deeply human?
Measurement, MMM and accountability: AI must stand up to CFO scrutiny
The other side of innovation is the increasingly explicit demand for accountability.
Marketing departments enter 2026 under two opposing pressures: experimenting with new solutions (AI, new channels, immersive formats) and at the same time proving with solid numbers that every investment makes sense.
In this context, weak metrics such as pure last-click attribution or platform-reported ROAS are no longer sufficient, especially for significant budgets.
This is where tools such as the Marketing Mix Modeling, incrementality tests (tests designed to measure the real and incremental effect of a campaign, not what is attributed by a platform), controlled experiments on creatives and formats, and shared KPI definitions between marketing and finance come back into play.
Not as special projects, but as a baseline for recurring decision-making.
A CMO who enters the boardroom with scenarios built on explicit models that integrate digital, TV, retail media and offline activities has a completely different persuasive power compared to those who rely solely on platform reports.
At HTT, we use MMM and advanced models on significant budgets precisely for this purpose: deciding how to redistribute spend across search, social, video, retail media and offline channels, and quantifying the impact of AI-driven innovations (dynamic creatives, automations, personalization) on overall P&L.
This is not about data science for a few specialists, but about putting the right information in front of those who must approve budgets.
What a marketing department must do in 2026: three priority workstreams
Trends are clear, but they do not pay invoices on their own.
What matters is how to turn them into a roadmap.
A pragmatic way to look at 2026 is to think about three parallel workstreams that feed into one another.
The first is the data+AI stack.
Mapping where time is currently wasted on repetitive activities, understanding which steps of the funnel (analysis, planning, reporting, content operations, offer management) can be automated, and building a pipeline that starts from clean data and leads to faster, documented decisions.
Here, tool choice matters less than clarity of objectives and processes.
The second is new visibility.
This means rethinking brand presence across traditional search engines, answer engines, social platforms, marketplaces and retail media as a single system, not as isolated projects delegated to different vendors. SEO, AEO/GEO, advertising, commerce media and content can no longer run on separate tracks if we want every euro invested to push in the same direction.
The third is creativity and brand.
In a world where much can be automated, what remains distinctive is vision: where we want to take our brand over the next three years, which role we want to occupy in the minds and lives of our customers, and which online and offline experiences make this promise credible.
AI can amplify a good idea, but it cannot save a mediocre one.
An agency like HTT makes sense if it can hold these three layers together: performance and digital media, data infrastructure and AI, strategy and creativity oriented toward growth.
For clients, the goal is to have a partner who understands not only how to execute advertising better, but why it works and how to prove its value.
Using 2026 to build competitive advantage
2026 is not the year to chase the next trend, but to put in place the foundations that will differentiate those who use marketing as a strategic lever from those who suffer it as a sequence of tactical campaigns.
Budgets will follow those who can demonstrate the ability to orchestrate AI, data, retail media, answer engines and creativity into a system coherent with their brand truths.
The decisive lever is this: using AI to make better, faster and defensible decisions, not to produce more noise.
Those who succeed, with a partner who understands both technology and consumer behavior, will use 2026 not to “keep up”, but to build a competitive advantage that is difficult to close in the coming years.
HT&T Consulting operates exactly on this boundary: integrating AI, data and digital marketing into strategies that speak the language of C-level executives and CFOs, and that measure the real value of every choice.
If you want to understand how to bring these trends into your 2026 plan, we can talk.
FAQ: Marketing trends 2026
What is the most important change for marketing in 2026?
This affects planning, creativity, media, measurement and reporting.
Individual trends matter less than the ability to build processes where data, AI and decisions work together.
How does SEO change with the arrival of answer engines and AI Overviews?
Beyond ranking in traditional results, brands must design content that can be cited and summarized by generative engines and answer engines.
This means more focus on structure, clarity, verifiable data, FAQs, authority signals and structured markup.
Why is retail media so relevant in 2026?
In many industries it becomes the third leg of the media mix after search and social, especially when the goal is to drive sales in commerce environments where customers are already close to making a decision.
What does adopting a privacy-first approach mean in practice?
It also means investing in data warehouses or CDPs, more robust tracking systems and measurement models that do not depend on single identifiers.
Can AI replace human creativity in marketing?
In 2026, competitive advantage comes from using AI intelligently in service of a clear creative strategy, not from AI itself.
How can investments in AI and new media levers be justified to the CFO and ownership?
AI should be framed not as an experiment, but as a lever to reduce waste, improve margins and increase decision-making speed.
What are the practical priorities for a CMO in 2026?
building a data+AI stack that makes decisions faster and more reliable,
rethinking overall visibility across search, social, answer engines and commerce media,
and strengthening brand and creativity as differentiating assets
in a world where many tactics can be quickly copied by competitors.
What role can an agency like HTT play in this scenario?
expertise in performance marketing and digital media,
experience with data, analytics and advanced models,
the ability to use AI in a concrete way,
and a consulting approach that translates all this
into decisions that are understandable for C-level executives and CFOs.
Not just execution, but guidance.
References and sources for further reading
The reflections and trends analyzed in this article are based on reports, studies and international observatories that continuously monitor the evolution of digital marketing, artificial intelligence and consumer behavior.
Below is a selection of authoritative sources to explore the topics discussed in more depth.
- Deloitte – Global Marketing Trends
Deloitte Trends website - McKinsey – State of AI & Digital Strategy
McKinsey Insights - Google – Think with Google
Think with Google - Google Search Central – AI and search evolution
Google Search Central - Gartner – Marketing Technology & Hype Cycle
Gartner Marketing Insights - Harvard Business Review – Marketing & Digital Strategy
Harvard Business Review - ISTAT – Enterprises and ICT – Year 2025
Enterprises and ICT – 2025
These sources should not be read as individual forecasts, but as converging signals of a structural transformation: marketing is moving toward increasingly data-driven models, supported by artificial intelligence and oriented toward building trust, relevance and measurability over time.
Continua a leggere
13 minutes of reading
27 minutes of reading
And it consumes less energy.
To return to the page you were visiting, simply click or scroll.