The GTM company that will break out beyond a $1B valuation (and into $100B territory) will be the one that builds something that looks like labor in the form of swiping a credit card (instead of sourcing+ramping+managing people, equipped with software).e Signal

Source: The $100B+ Winner in GTM Tech Won’t Sell Software, It Will Sell Labor

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Buyers rank clear pricing and terms as the most important factor in a positive checkout experience. Sellers, however, prioritize speed and security — while underestimating the importance of transparency and trust.

Source: The Friction Report by Cleverbridge | What’s Stalling SaaS Growth

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To maintain competitive advantage through the next five years, which innovations must forward-thinking companies prioritize right now?

Source: AI’s fourth wave is here — are enterprises ready for what’s next?

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Businesses that rush to use AI to write content or computer code, often have to pay humans to fix it.

Source: ‘I’m being paid to fix issues caused by AI’

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This comes as 42% of Gen Z college grads now work in or are pursuing a blue-collar or skilled trade job

Source: TikTok tradespeople are reshaping career goals – Fast Company

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As we look ahead, the relationship between engineers and AI systems will likely evolve from tool and user to something more symbiotic.

Source: The future of engineering belongs to those who build with AI, not without it

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Microsoft launches Discovery platform that uses agentic AI to compress years of scientific research into days, transforming R&D across pharmaceuticals, materials science, and semiconductor industries.

Source: Microsoft just launched an AI that discovered a new chemical in 200 hours instead of years

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Over 80% of in-person transactions at U.S. financial institutions use COBOL. Fully 95% of the time you swipe your bank card, there’s COBOL running somewhere in the background.

The post Can we live without COBOL? appeared first on Yuvis.ai.

A company that wants to inspire intrapreneurship needs to have the ability to mobilize resources across the organization to support the opportunities it surfaces, which can carry execution and reputational risks. But because of the substantial potential upsides, encouraging intrapreneurship should be central to an organization’s mission.

Source: How to develop an intrapreneurial culture

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Gen AI has the potential to become a thought partner for managers, assisting them with strategic thinking, leadership development, and decision-making. But while two-thirds of managers see this potential, currently only 30% feel prepared to use the technology for this purpose. This article helps bridge this gap by introducing a process called co-thinking in which managers follow a four-step framework: Assign AI a role, define the setting, outline the dialogue, and create structured prompts. Best practices for co-thinking include engaging actively, challenging AI’s outputs, and involving teams to enhance collaboration. By adopting these approaches, humans and AI working together can achieve high-quality outcomes that would not be possible working separately.

Source: How AI Can Help Managers Think Through Problems

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