2024-2026, The Decisions That Shape The Future of Marketing: Mini Roundtable Edition
Michael Cruz — Head of Creative, Summer Friday
About this session
Join us to imagine marketing and the world of brands 20 years from now. We'll explore how technology (including AI), policy, culture, and new industries could redefine audiences, careers, and what it means for brands.
Session recap
The premise: decisions made now compound for 20 years
The January session flipped the usual format. Rather than analyzing 2026 in isolation, the Summer Friday team used a roundtable structure to ask a harder question: what do the decisions we are making right now look like from 2046? With 2026 as the starting point and 2046 as the lens, the conversation explored how today's choices around AI, brand strategy, culture, and measurement compound — for better or worse — over the next two decades.
What 2026 actually looks like: signals from the market
Before the roundtable opened, the team shared context on the current environment. Several signals framed the discussion:
Volatility is expected, not exceptional. Sixty-four percent of B2C CMOs expect 2026 to be more volatile than 2025. Price sensitivity is real — potential hikes could cause up to one-third of consumers to switch brands. And AI-driven data breaches are expected to increase class-action lawsuits by 20%.
The 2026 consumer is escaping. Younger generations are managing stress through fandoms, collectibles, and hobby communities rather than traditional social pathways. Forty-five percent of Gen Z report finding online life stressful, with meaningful interest in "dumb" phones and analog aesthetics. At the same time, AI is shifting from a productivity tool to a "companion" — even as trust in AI-made content continues to erode.
Measurement is becoming more unified. Nielsen and Roku expanded their data-sharing partnership, feeding deeper connected TV data into cross-platform measurement. With streaming ad spend projected to reach $37 billion in 2026 — up roughly 14% year-over-year — the industry is moving toward consistent, unified CTV metrics that reduce fragmentation between linear and streaming.
Mini session 1: how did AI evolve from tool to revolution?
The first roundtable asked participants to examine AI's trajectory. Hot takes from the room included: AI became a credibility signal before it became a capability; in the open testing phase of 2026, long-term advantage will be increasingly gated by cost, infrastructure, and access; and AI creates the illusion of democratization while real leverage concentrates among those with data, talent, and scale.
The practical takeaway the team offered: get clarity on ownership, not output. Humans should always own direction, judgment, risk, and accountability. AI adds leverage in speed, scale, analysis, and pattern recognition. The team's framework for implementing AI without adding chaos: define the problem (human-led), accelerate the work (AI-supported), make the call (human-owned). Then measure, iterate, and evolve the system — rather than automating the chaos that existed before.
Mini session 2: hype, adoption, and waste
The second roundtable asked participants to sort current AI investments into three buckets: hype (loud and oversold), adoption (actually changing workflows), and waste (energy that won't pay off).
Notable hot takes: AI content creation is overhyped; confidence is outpacing the truth; much of current AI investment will never translate into lasting marketing value; real adoption will show up in how data informs experiences. The biggest waste, the group suggested, isn't failed technology — it's premature scale without market clarity.
Fireside chat: a look from 2046
The session closed with a fireside conversation featuring Summer Friday's Head of Creative, Michael Cruz, reimagined as a time traveler from 2046 reflecting on the choices the industry made in this decade. The format was deliberately speculative — less about prediction and more about pressure-testing whether today's decisions have the structural soundness to compound into something durable.
Key takeaway
The central question of the January roundtable wasn't which AI tools to buy. It was whether the operating logic guiding AI adoption is built on clear problem definitions, honest role delineation, and measurable outcomes — or on urgency and social proof. Twenty years of compounding start with the quality of today's thinking. Choose the problem before the tool.
- Design Systems
- UI/UX
- Accessibility