HAVE A NICE FUTURE
AI innovation advisory rooted in human insight & guided by strategic foresight
AI innovation should be guided by the people it affects.
A responsible approach must, therefore, include them in the process of shaping new platforms, products, and experiences.
For when technological possibilities and market dynamics are balanced with a real understanding of people's needs, expectations, and values, it leads to innovations that are aligned, relevant, and in service of individual and collective flourishing.
Drawing on a proprietary human insight methodology ('A Human Core’) and rigorous strategic foresight process, Have A Nice Future helps companies innovate responsibly in pursuit of sustainable growth, positively contribute to culture and society, and build lasting trust through inclusion.
To find out more, or to discuss a pertinent need, get in touch - hello@haveanicefuture.com
Practices + Impact
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Insight & Foresight:
Inside-out: evaluating emerging business challenges & needs, audience relationships, existing assets
Outside-in: signal analysis across market dynamics, emerging technologies, people / culture / society, regulatory landscape
= Holistic situational awareness, revealing possible futures
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Translating situational awareness into a preferable future to build & mapping a path towards it
= Actionable direction & frameworks for innovation (incl. new verticals / platforms / products / services / experiences / features, programs)
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Crafting compelling stories rooted in discovery insights, possible and preferable futures, and strategic choices to engage stakeholders in the journey and guide implementation
= Expanding stakeholder mindsets & building enduring trust in transformative moves
In addition to leading or supporting an end-to-end innovation process, Have A Nice Future also delivers bespoke keynotes, thematic briefings, workshops, and thought leadership pieces.
About
Have A Nice Future was founded in 2024 by Lucia Komljen, an experienced strategist, researcher, and responsible innovation leader who has been a conduit between what technology makes possible and what people need and expect from it for over a decade, with a deep specialism in media and AI.
Lucia's unique skill set has been shaped through roles in creative agencies, a social innovation non-profit, a global corporate innovation lab, and a generative AI startup. Her perspectives are informed by extensive global fieldwork researching technology's impact on people and society, while her ongoing immersion in culture, the humanities, and social sciences ensures these are plural, rooted, and continually evolving. This makes her particularly well-suited to navigating the sociocultural dimensions of AI innovation.
In her roles as CSO at a generative AI startup and Global Director of Insight & Innovation Strategy at Telefonica, she led multiple projects spanning various branches of AI and its applications, delivering actionable innovation strategies and creative ideas alongside comprehensive impact assessments and implications for product design, corporate policy, data governance, and ethical deployment. Her prior experience as a marketing strategist enables her to guide platforms, products, and experience from inception through to launch.
She has a strong track record of collaborating with diverse stakeholders (including technical, design, ethics, policy, and commercial specialists and teams), effectively translating complex concepts into accessible narratives, and serving as a trusted C-suite, board and exec committee advisor.
Portfolio
THINK PIECES, PAPERS & TALKS
Sustainable Synthetics
A framework for responsible generative AI innovation in media
Reimagining AI Consumers
The case for inclusion
The State of Bias Management in LLMs
How does bias manifest across the generative AI supply chain & how can it be managed?
Sustainable Synthetics & Inoculated Minds
Towards media ecosystem resilience ahead of an imminent generative AI influx
Calculated Creativity
As AI gears up to create, how can culture maintain its ability to enrich?
Avatar Killed The Video Star
Avatar Segmentation
Game Your Own Adventure
How will immersive technologies change storytelling?
The Closest Fan
How emerging fan needs, expectations & behaviours can guide media & entertainment innovation
A Human Core
How to understand what people expect from emerging technologies and why this matters to the future of innovation
Beyond ‘Problems to Solve’ Innovation
The value of exploring and resolving tensions as a way of limiting the unintended consequences of innovation
Memories of the Future: Digital Anthropology in Advanced Markets
How exploring everyday life in advanced markets can help us anticipate the future & impact of emerging technologies in tangible ways
The Rise of the Obese Mind / Content Calories & Information Diets
Taking stock of digital overload and what we can learn from food culture to reign it in
RESEARCH & INNOVATION PROJECTS
Project Media Rehab
Facilitating healthier media habits
Video Futures Part 2 - The Closest Fan
How can fan needs and expectations of emerging technologies (AI, VR, AR, the blockchain) guide entertainment innovation?
Reclaiming Our Screen/Life: Surviving The Hyperconnected Age
Taking responsibility for the impact of connectivity on people’s lives
Video Futures Part 1 - Beyond Streams & Screens
How are emerging technologies like AI, AR, VR and the blockchain changing how stories are created, distributed and consumed? How will this impact audiences & platforms?
AI-Augmented Lives: The Tension Between Freedom & Exposure
How will AI / ML manifest as agents in people’s everyday lives in the future? How can the tension between sharing data for benefits and the vulnerabilities this creates be resolved?
Affective Computing: Discovering Emotional Engines
What will it take to trust emotionally-aware machines with our data and decisions?
5G: Impressions of Connected Futures
What does the future hold for connectivity? What will it be expected to power in people’s lives?
Personal Data & Privacy: The People’s Perspective
What do people know, care about and do when sharing different types of personal data?