FT Strategies

💡 𝗔𝗜 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗮𝗰𝗿𝗼𝘀𝘀 𝗻𝗲𝘄𝘀𝗿𝗼𝗼𝗺𝘀, 𝗯𝘂𝘁 𝗮𝗿𝗲 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿𝘀 𝘂𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗶𝘁𝘀 𝗳𝘂𝗹𝗹 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹?

According to our Future Newsrooms Study 2026, 46% of surveyed newsroom leaders identified time savings as their primary measure of AI success. While efficiency gains are valuable, the bigger opportunity lies in using AI to develop new editorial capabilities and audience experiences.

In our latest article, 𝗧𝗵𝗲 𝗨𝗻𝗿𝗲𝗮𝗹𝗶𝘀𝗲𝗱 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗼𝗳 𝗔𝗜: 𝗪𝗵𝘆 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿𝘀 𝗡𝗲𝗲𝗱 𝘁𝗼 𝗧𝗵𝗶𝗻𝗸 𝗕𝗲𝘆𝗼𝗻𝗱 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗚𝗮𝗶𝗻𝘀, by Senior Consultant Jack Briggs, we introduce an AI Maturity Framework to help publishers assess how they are using AI and identify opportunities to create greater value.

𝗧𝗵𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗼𝘂𝘁𝗹𝗶𝗻𝗲𝘀 𝘁𝗵𝗿𝗲𝗲 𝗹𝗲𝘃𝗲𝗹𝘀 𝗼𝗳 𝗔𝗜 𝗺𝗮𝘁𝘂𝗿𝗶𝘁𝘆:
🔹 Efficiency (Faster): Automating existing tasks, such as transcription, to save time and reduce manual work.
🔹 Scaling (More): Using AI to increase output, such as generating earnings summaries at scale.
🔹 Conceptual (Different): Developing new editorial capabilities, such as AI agents for source monitoring, and exploring new ways to serve audiences.

While most newsrooms are focused on efficiency and scaling, using AI to create fundamentally new editorial capabilities remains rare.

For publishers, the next stage of AI maturity is not simply about doing existing work faster or producing more content. It is about rethinking what AI makes possible, from new forms of journalism to more personalised and interactive audience experiences.

𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 👉 eu1.hubs.ly/H0zK5780

#AIinNewsrooms #AIAdoption #DigitalPublishing #NewsroomTransformation

𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘁𝗮𝗸𝗲 𝘁𝗼 𝘁𝘂𝗿𝗻 𝗔𝗜 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗶𝗻𝘁𝗼 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗼𝗿 𝗴𝗿𝗼𝘄𝘁𝗵?

For news publishers, adopting AI isn't just about exploring new technologies. It's also about bringing teams together, testing ideas and finding opportunities to apply what works across the organisation.

During the recent FT Strategies AI Lab, supported by the Google News Initiative, we asked Aleksandra Maslarova, Business Development and Events Strategy Manager at Economedia, what she learned from her time on the programme.

From the importance of cross-departmental collaboration to the potential of scaling AI initiatives across different areas of the business, hear Aleksandra share her key takeaways.

𝗪𝗮𝘁𝗰𝗵 𝗵𝗲𝗿 𝗽𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗯𝗲𝗹𝗼𝘄 👇

#ArtificialIntelligence #NewsMedia #DigitalTransformation #MediaInnovation

💡 Effective AI training does more than build skills. It can reveal valuable insights into how your organisation operates.

As newsrooms work towards scaling AI adoption, structured training programmes can play a critical role in identifying capability gaps, improving internal processes and uncovering opportunities for innovation.

Drawing on our experience delivering a 12-week training programme for 90 newsroom AI Champions, our latest article, 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗡𝗲𝘄𝘀𝗿𝗼𝗼𝗺 𝗔𝗜 𝗖𝗵𝗮𝗺𝗽𝗶𝗼𝗻𝘀: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗳𝗼𝗿 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗔𝗜 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻, explores how structured AI training can build capabilities while uncovering organisational barriers and opportunities for wider adoption.

𝗞𝗲𝘆 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗔𝗜 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗶𝗻𝗰𝗹𝘂𝗱𝗲:
🔹 Clearer internal guidelines
🔹 Greater knowledge sharing
🔹 New workflow opportunities

Structured AI training is an important starting point, but sustainable adoption requires more than building skills. By identifying gaps in guidance, sharing practical knowledge and uncovering new use cases, publishers can better understand the organisational changes needed to scale AI effectively.

𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 👉 eu1.hubs.ly/H0ztCgS0

#AIAdoption #AITraining #NewsroomTransformation #DigitalTransformation

💡 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗔𝗜 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝗻𝗲𝘄 𝘁𝗼𝗼𝗹𝘀. 𝖨𝗍 𝖽𝖾𝗉𝖾𝗇𝖽𝗌 𝗈𝗇 𝖾𝗊𝗎𝗂𝗉𝗉𝗂𝗇𝗀 𝗇𝖾𝗐𝗌𝗋𝗈𝗈𝗆 𝗍𝖾𝖺𝗆𝗌 𝗐𝗂𝗍𝗁 𝗍𝗁𝖾 𝗋𝗂𝗀𝗁𝗍 𝖼𝖺𝗉𝖺𝖻𝗂𝗅𝗂𝗍𝗂𝖾𝗌, 𝗍𝗋𝖺𝗂𝗇𝗂𝗇𝗀 𝖺𝗇𝖽 𝗌𝗎𝗉𝗉𝗈𝗋𝗍 𝗍𝗈 𝗂𝗇𝗍𝖾𝗀𝗋𝖺𝗍𝖾 𝖠𝖨 𝗂𝗇𝗍𝗈 𝗍𝗁𝖾𝗂𝗋 𝖾𝗏𝖾𝗋𝗒𝖽𝖺𝗒 𝗐𝗈𝗋𝗄.

𝖨𝗇 𝗈𝗎𝗋 𝗅𝖺𝗍𝖾𝗌𝗍 𝖺𝗋𝗍𝗂𝖼𝗅𝖾, 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗡𝗲𝘄𝘀𝗿𝗼𝗼𝗺 𝗔𝗜 𝗖𝗵𝗮𝗺𝗽𝗶𝗼𝗻𝘀: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗳𝗼𝗿 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗔𝗜 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻* 𝗐𝖾 𝖾𝗑𝗉𝗅𝗈𝗋𝖾 𝗁𝗈𝗐 𝗆𝖾𝖽𝗂𝖺 𝗈𝗋𝗀𝖺𝗇𝗂𝗌𝖺𝗍𝗂𝗈𝗇𝗌 𝖼𝖺𝗇 𝖽𝖾𝗌𝗂𝗀𝗇 𝖾𝖿𝖿𝖾𝖼𝗍𝗂𝗏𝖾 𝖠𝖨 𝗍𝗋𝖺𝗂𝗇𝗂𝗇𝗀 𝗉𝗋𝗈𝗀𝗋𝖺𝗆𝗆𝖾𝗌 𝗍𝗁𝖺𝗍 𝗋𝖾𝗌𝗉𝗈𝗇𝖽 𝗍𝗈 𝗍𝗁𝖾𝗂𝗋 𝗍𝖾𝖺𝗆𝗌' 𝗇𝖾𝖾𝖽𝗌 𝖺𝗇𝖽 𝗌𝗎𝗉𝗉𝗈𝗋𝗍 𝗐𝗂𝖽𝖾𝗋 𝗈𝗋𝗀𝖺𝗇𝗂𝗌𝖺𝗍𝗂𝗈𝗇𝖺𝗅 𝖼𝗁𝖺𝗇𝗀𝖾.

𝗢𝘂𝗿 𝗳𝗶𝘃𝗲-𝘀𝘁𝗲𝗽 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀:

🔹 𝖣𝖾𝖿𝗂𝗇𝖾 𝖼𝖺𝗉𝖺𝖻𝗂𝗅𝗂𝗍𝗂𝖾𝗌: 𝖲𝖾𝗍 𝖼𝗅𝖾𝖺𝗋 𝗅𝖾𝖺𝗋𝗇𝗂𝗇𝗀 𝗈𝖻𝗃𝖾𝖼𝗍𝗂𝗏𝖾𝗌 𝖻𝖺𝗌𝖾𝖽 𝗈𝗇 𝗋𝗈𝗅𝖾𝗌 𝖺𝗇𝖽 𝖻𝗎𝗌𝗂𝗇𝖾𝗌𝗌 𝗇𝖾𝖾𝖽𝗌.
🔹 𝖤𝗌𝗍𝖺𝖻𝗅𝗂𝗌𝗁 𝖺 𝖻𝖺𝗌𝖾𝗅𝗂𝗇𝖾: 𝖠𝗌𝗌𝖾𝗌𝗌 𝖾𝗑𝗂𝗌𝗍𝗂𝗇𝗀 𝖠𝖨 𝗌𝗄𝗂𝗅𝗅𝗌, 𝗎𝗌𝖺𝗀𝖾 𝖺𝗇𝖽 𝖺𝗍𝗍𝗂𝗍𝗎𝖽𝖾𝗌 𝗍𝗈 𝗂𝖽𝖾𝗇𝗍𝗂𝖿𝗒 𝖼𝖺𝗉𝖺𝖻𝗂𝗅𝗂𝗍𝗒 𝗀𝖺𝗉𝗌.
🔹 𝖳𝖾𝗌𝗍 𝗍𝗁𝖾 𝖿𝗈𝗋𝗆𝖺𝗍: 𝖯𝗂𝗅𝗈𝗍 𝗍𝗋𝖺𝗂𝗇𝗂𝗇𝗀 𝗐𝗂𝗍𝗁 𝗌𝗆𝖺𝗅𝗅𝖾𝗋 𝗀𝗋𝗈𝗎𝗉𝗌, 𝗀𝖺𝗍𝗁𝖾𝗋 𝖿𝖾𝖾𝖽𝖻𝖺𝖼𝗄 𝖺𝗇𝖽 𝗋𝖾𝖿𝗂𝗇𝖾 𝗍𝗁𝖾 𝖺𝗉𝗉𝗋𝗈𝖺𝖼𝗁.
🔹 𝖢𝗁𝗈𝗈𝗌𝖾 𝖺 𝗉𝖺𝗋𝗍𝗂𝖼𝗂𝗉𝖺𝗍𝗂𝗈𝗇 𝗆𝗈𝖽𝖾𝗅: 𝖲𝖾𝗅𝖾𝖼𝗍 𝗍𝗁𝖾 𝗋𝗂𝗀𝗁𝗍 𝗍𝗋𝖺𝗂𝗇𝗂𝗇𝗀 𝖺𝗉𝗉𝗋𝗈𝖺𝖼𝗁 𝖿𝗈𝗋 𝗒𝗈𝗎𝗋 𝗈𝖻𝗃𝖾𝖼𝗍𝗂𝗏𝖾𝗌 𝖺𝗇𝖽 𝗈𝗋𝗀𝖺𝗇𝗂𝗌𝖺𝗍𝗂𝗈𝗇𝖺𝗅 𝖼𝗈𝗇𝗍𝖾𝗑𝗍.
🔹 𝖬𝖾𝖺𝗌𝗎𝗋𝖾 𝖺𝗇𝖽 𝗋𝖾𝖿𝗂𝗇𝖾: 𝖤𝗏𝖺𝗅𝗎𝖺𝗍𝖾 𝖼𝗁𝖺𝗇𝗀𝖾𝗌 𝗂𝗇 𝖼𝖺𝗉𝖺𝖻𝗂𝗅𝗂𝗍𝗂𝖾𝗌 𝖺𝗇𝖽 𝗎𝗌𝖾 𝗍𝗁𝖾 𝖿𝗂𝗇𝖽𝗂𝗇𝗀𝗌 𝗍𝗈 𝖼𝗈𝗇𝗍𝗂𝗇𝗎𝗈𝗎𝗌𝗅𝗒 𝗂𝗆𝗉𝗋𝗈𝗏𝖾 𝖿𝗎𝗍𝗎𝗋𝖾 𝗍𝗋𝖺𝗂𝗇𝗂𝗇𝗀.

𝖡𝗎𝗂𝗅𝖽𝗂𝗇𝗀 𝖠𝖨 𝖼𝖺𝗉𝖺𝖻𝗂𝗅𝗂𝗍𝗂𝖾𝗌 𝗂𝗌 𝖺𝗇 𝗈𝗇𝗀𝗈𝗂𝗇𝗀 𝗉𝗋𝗈𝖼𝖾𝗌𝗌. 𝖡𝗒 𝗍𝖺𝗄𝗂𝗇𝗀 𝖺 𝗌𝗍𝗋𝗎𝖼𝗍𝗎𝗋𝖾𝖽 𝖺𝗉𝗉𝗋𝗈𝖺𝖼𝗁 𝗍𝗈 𝗍𝗋𝖺𝗂𝗇𝗂𝗇𝗀, 𝗇𝖾𝗐𝗌𝗋𝗈𝗈𝗆𝗌 𝖼𝖺𝗇 𝗆𝗈𝗏𝖾 𝖻𝖾𝗒𝗈𝗇𝖽 𝗂𝗌𝗈𝗅𝖺𝗍𝖾𝖽 𝖾𝗑𝗉𝖾𝗋𝗂𝗆𝖾𝗇𝗍𝖺𝗍𝗂𝗈𝗇 𝗍𝗈𝗐𝖺𝗋𝖽𝗌 𝗆𝗈𝗋𝖾 𝖼𝗈𝗇𝖿𝗂𝖽𝖾𝗇𝗍 𝖺𝗇𝖽 𝖾𝖿𝖿𝖾𝖼𝗍𝗂𝗏𝖾 𝖠𝖨 𝖺𝖽𝗈𝗉𝗍𝗂𝗈𝗇.

𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 👉 𝗁𝗍𝗍𝗉𝗌://𝗐𝗐𝗐.𝖿𝗍𝗌𝗍𝗋𝖺𝗍𝖾𝗀𝗂𝖾𝗌.𝖼𝗈𝗆/𝖾𝗇-𝗀𝖻/𝗂𝗇𝗌𝗂𝗀𝗁𝗍𝗌/𝗍𝗋𝖺𝗂𝗇𝗂𝗇𝗀-𝗇𝖾𝗐𝗌𝗋𝗈𝗈𝗆-𝖺𝗂-𝖼𝗁𝖺𝗆𝗉𝗂𝗈𝗇𝗌-𝗅𝖾𝗌𝗌𝗈𝗇𝗌-𝖿𝗈𝗋-𝗌𝖼𝖺𝗅𝗂𝗇𝗀-𝖺𝗂-𝖺𝖽𝗈𝗉𝗍𝗂𝗈𝗇

#𝖠𝖨𝗂𝗇𝖭𝖾𝗐𝗌𝗋𝗈𝗈𝗆𝗌 #𝖠𝖨𝖠𝖽𝗈𝗉𝗍𝗂𝗈𝗇 #𝖭𝖾𝗐𝗌𝗋𝗈𝗈𝗆𝖳𝗋𝖺𝗇𝗌𝖿𝗈𝗋𝗆𝖺𝗍𝗂𝗈𝗇 #𝖣𝗂𝗀𝗂𝗍𝖺𝗅𝖳𝗋𝖺𝗇𝗌𝖿𝗈𝗋𝗆𝖺𝗍𝗂𝗈𝗇

🗣️ FT Strategies Director Lisa MacLeod and Commercial Development Manager Jessica Roy will be attending Newsgeist 2026 in Hamburg from 16 to 18 October.

The event brings together people from across the news industry to share ideas, exchange perspectives and have open conversations about the future of journalism.

𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗮𝘁𝘁𝗲𝗻𝗱𝗶𝗻𝗴, 𝗟𝗶𝘀𝗮 𝗮𝗻𝗱 𝗝𝗲𝘀𝘀 𝘄𝗼𝘂𝗹𝗱 𝗹𝗼𝘃𝗲 𝘁𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁!

Whether it's a conversation about the future of news, the challenges facing your organisation or simply an opportunity to exchange ideas, feel free to reach out to either of them on LinkedIn.

𝗩𝗶𝗲𝘄 𝘁𝗵𝗲 𝗲𝘃𝗲𝗻𝘁 👉 eu1.hubs.ly/H0z5Byd0

#Newsgeist2026 #FutureOfNews #MediaInnovation #Journalism