{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5e74eed37e2a7d7e5e7bc166/69eb1655c8a506316d2b873e?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Reading the signals of science and innovation demand in real estate","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5e74eed37e2a7d7e5e7bc166/1777014333035-54555b39-6027-4371-b655-3b24dfee07b3.jpeg?height=200","description":"<p>The innovation sector is widely seen as one of the UK's biggest economic opportunities, and the signals are hard to ignore: OpenAI is establishing a permanent presence in London, US AI companies are expanding their European footprint in the capital, and innovation clusters are emerging across UK cities well beyond the Golden Triangle. But is the real estate industry reading those signals correctly?</p><p> </p><p>In this episode, Will Matthews is joined by Jennifer Townsend, a partner in Knight Frank's Occupier Insight team, to explore what the real estate industry often gets wrong about measuring innovation demand, and what better metrics look like in practice. From funding as a leading indicator of space requirements, to AI clusters building momentum in cities like Edinburgh, Leeds and Manchester, the discussion examines how to understand where demand is heading, not just where it has been. </p><p> <a href=\"https://www.linkedin.com/newsletters/7335966854290546688/\" rel=\"noopener noreferrer\" target=\"_blank\">⁠⁠</a></p><p>For more insights like this, subscribe to <a href=\"https://www.linkedin.com/newsletters/7335966854290546688/\" rel=\"noopener noreferrer\" target=\"_blank\">⁠⁠Will's newsletter⁠⁠</a> for his weekly take on commercial real estate markets. </p><p>Produced by <a href=\"https://www.rethinkaudio.com/\" rel=\"noopener noreferrer\" target=\"_blank\">⁠⁠Rethink Audio⁠⁠</a>.</p>","author_name":"Knight Frank"}