๐๐ผ๐ ๐๐ต๐ผ๐๐น๐ฑ ๐ผ๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ต๐ถ๐ป๐ธ ๐ฎ๐ฏ๐ผ๐๐ ๐ฎ๐ป๐ฑ ๐ฝ๐ผ๐๐ถ๐๐ถ๐ผ๐ป ๐๐ต๐ฒ๐บ๐๐ฒ๐น๐๐ฒ๐ ๐๐ผ ๐๐ต๐ฟ๐ถ๐๐ฒ ๐ฎ๐บ๐ถ๐ฑ ๐ฟ๐ฎ๐ฝ๐ถ๐ฑ ๐๐-๐ฑ๐ฟ๐ถ๐๐ฒ๐ป ๐๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป, ๐ฎ๐ป๐ฑ ๐๐ต๐ ๐บ๐ถ๐ด๐ต๐ ๐๐ฟ๐ฎ๐ฑ๐ถ๐๐ถ๐ผ๐ป๐ฎ๐น '๐ณ๐ฎ๐๐ ๐ณ๐ผ๐น๐น๐ผ๐๐ฒ๐ฟ' ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฒ๐ ๐ณ๐ฎ๐ถ๐น ๐ถ๐ป ๐๐ต๐ถ๐ ๐ป๐ฒ๐ ๐ฒ๐ฟ๐ฎ?
For my guest Lukas N.P. Egger at SAP Signavio, AI represents a fundamentally different type of transformation where being a fast followerโa strategy that worked well in previous technological shifts like cloud and mobileโmay no longer be effective. Here's why:
1. ๐๐ง๐๐ซ๐๐ค๐ช๐จ ๐ฉ๐ง๐๐ฃ๐จ๐๐ค๐ง๐ข๐๐ฉ๐๐ค๐ฃ๐จ ๐ง๐๐ฌ๐๐ง๐๐๐ ๐ฌ๐๐๐ฉ๐๐ฃ๐: Incumbents could afford to let the market shake out, identify winners, then use their financial resources to quickly adopt proven technologies.
2. ๐ผ๐ ๐๐๐๐ฃ๐๐๐จ ๐ฉ๐๐ ๐ง๐ช๐ก๐๐จ: The technology is highly democratized (anyone can access it for free), evolves at unprecedented speed, and requires deep organizational change rather than just technology implementation. Those who wait risk falling too far behind to catch up.
3. ๐๐ช๐๐๐๐จ๐จ ๐ง๐๐ฆ๐ช๐๐ง๐๐จ ๐๐ญ๐ฅ๐๐ง๐๐ข๐๐ฃ๐ฉ๐๐ฉ๐๐ค๐ฃ ๐๐ฃ๐ ๐๐ช๐ก๐ฉ๐ช๐ง๐๐ก ๐จ๐๐๐๐ฉ: Organizations need to start experimenting now, develop AI literacy across their workforce, and fundamentally rethink how they operateโnot just bolt AI onto existing processes.
This 67th episode of Climate+ Podcast challenges conventional wisdom about technology adoption strategy, arguing that AI demands a more proactive, experimental, and transformative approach than previous innovations.ย
