Philip Sheppard

Most organisations are now running AI through their creative, design and brand functions without a clear view of what humans should still own and what machines should do. The result is output that looks generative but feels generic, and teams that cannot articulate where their craft adds value. The harder question, what creative judgement actually contributes once the machine can produce a draft, rarely gets answered.

Philip Sheppard is a composer and Fellow of the Royal Academy of Music who built one of the first venture-backed AI music platforms, and helps organisations think clearly about what human creative judgement still owes a machine-generated world.

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Why organisations work with Philip Sheppard

  • He has actually built and runs an AI creative business. LifeScore, the generative music platform he co-founded with Siri creator Tom Gruber, has raised £11m and ships to Warner Music Group and Octopus Ventures-backed commercial partners. The argument is grounded in a working company, not a slide on disruption.
  • He brings a working composer’s view of human-AI collaboration. Most AI commentary is by analysts. His comes from sitting at the boundary where a human writes the musical raw materials and the machine selects, layers and mixes them in real time, which is the same architectural question now facing design, copy, video and brand teams.
  • The credentials carry weight in a creative-leadership audience. A Fellowship of the Royal Academy of Music, an Academy of Motion Picture Arts and Sciences Music Branch membership, and conducting all 205 national anthems for the London 2012 Olympics with the London Philharmonic Orchestra at Abbey Road are not transferable credentials.
  • He has a track record of speaking to technology buyers, not music audiences. Keynotes for Ernst & Young, Deloitte, Google, Facebook, YouTube and Kyu Collective, and on stages including C2MTL, TTI Vanguard and Business Innovation Factory.
  • He turns an abstract debate into a live demonstration. He performs and composes on stage using a six-string electric cello, which makes the argument about generative systems and human craft visible rather than theoretical.

Biography highlights

  • Founder and CEO of LifeScore, an AI adaptive music platform co-founded with Tom Gruber, co-creator of Siri at Apple; backed by Warner Music Group and Octopus Ventures.
  • Fellow of the Royal Academy of Music, awarded as a lifetime recognition of services to music and education.
  • Composer of more than 65 scores for film, television, gaming and theatre, including Detroit: Become Human (Sony), the Star Wars: The Force Awakens Comic Con trailer, Mercury 13 (Netflix), In the Shadow of the Moon and Meru.
  • Conducted and arranged all 205 national anthems for the London 2012 Olympic winners’ ceremonies, recorded with the London Philharmonic Orchestra at Abbey Road Studios.
  • Music director for the London handover at the 2008 Beijing Olympics closing ceremony; music producer for the Tour de France, Rugby World Cup and the COP21 Paris climate summit.
  • Member of the Academy of Motion Picture Arts and Sciences, Music Branch (2017) and the Television Academy; author of Music Makes Your Child Smarter (Schirmer Trade Books).

Biography

LifeScore was incubated inside Abbey Road Studios for a reason. The company was set up to answer a question that now matters far beyond music. If a machine can generate plausible creative output on demand, what exactly is the human still meant to do? Philip Sheppard, a composer and Fellow of the Royal Academy of Music, co-founded the platform with Tom Gruber, co-creator of Siri at Apple, and now runs it as CEO. Warner Music Group and Octopus Ventures have backed it through an £11m funding round.

The architecture of LifeScore is, in effect, the architecture of any serious human-AI creative system. Composers and musicians build the raw musical materials. The machine selects, layers, sequences and mixes them in real time around the listener’s environment. The output is generated, but the judgement, taste and craft that make it sound human are not. That is the model Sheppard now describes to technology and creative leaders trying to industrialise generative AI without losing what made their work recognisable in the first place.

The credentials behind the argument are concrete. Sheppard has composed more than 65 scores for film, television and gaming, including Detroit: Become Human, the Mercury 13 documentary for Netflix and In the Shadow of the Moon. He conducted and arranged all 205 national anthems for the London 2012 Olympics with the London Philharmonic Orchestra at Abbey Road, and was music director for the London handover at the Beijing 2008 closing ceremony. He sits as a voting member of the Academy of Motion Picture Arts and Sciences and the Television Academy, and wrote Music Makes Your Child Smarter for Schirmer Trade Books.

His keynote audiences are mostly outside the music industry. Ernst & Young, Deloitte, Google, Facebook, YouTube and Kyu Collective have all booked him, alongside stages such as C2MTL, TTI Vanguard and Business Innovation Factory. The reason is the same in each case. He is one of the few people who can speak about generative AI and creative work from the position of having shipped a company that does it, and a body of work that depends on it being done well.

Key speaking topics

  • Human-AI collaboration in creative work
  • Generative AI and the future of creative industries
  • Building an AI venture from inside a creative practice
  • Music, data and adaptive systems
  • Innovation and creativity as a managed discipline
  • The role of craft in machine-augmented teams

Ideal for

  • Chief technology, AI and digital officers shaping how generative AI is deployed across creative, brand and design functions
  • Chief marketing, brand and customer-experience leaders whose teams now produce content with generative tools
  • Innovation, R&D and product leadership at media, entertainment, consumer and platform businesses
  • Leadership offsites at technology, consulting and professional services firms looking for a credible voice on creativity and AI

Audience outcomes

  • A clearer account of what generative AI changes about creative production, and what it does not
  • A working mental model for dividing labour between human judgement and machine generation in creative workflows
  • Named examples of how an AI creative venture is actually built, funded and run, drawn from LifeScore’s own history
  • A sharper sense of where craft and taste still differentiate a brand or product in a generative environment
  • A live demonstration of human-machine creative collaboration through performance, not slides

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