Intuit brings agentic AI to the mid-market saving organizations 17 to 20 hours a month

OpenAIs Fidji Simo: Key Life Pillars AI Can Benefit

The use of generative AI in online search is continuing to explode, even while many people are dubious of the technology’s reliability and trustworthiness. On the flip side, the B2Me approach is rooted in personalization and helps facilitate consumer loyalty and retention, as opposed to more transactional relationships. For example, the ability to order personalized clothing and backpacks from a company based on your style preferences involves you more deeply with that company—you’re getting products that are specifically designed for you. Certain companies, namely those that produce mass market products such as toothpaste and soda, target aggregate customer segments. Personalization arguably isn’t necessary for mass market products.

Simo’s experiences with Instacart mirror her stance on AI

OpenAI’s latest model lacks the tools, multimodal capabilities, and speed that made GPT-4o so impressive. In fact, OpenAI even admits that “GPT-4o is still the best option for most prompts” on its help page, and notes elsewhere that o1 struggles at simpler tasks. Supply chain leaders shouldn’t think of AI as an automation capability. Instead, they should view it as an orchestration capability. AI can enable supply chain leaders to integrate the various components of their logistics systems, allowing them to offer more personalized products and/or services. The state of today’s supply chain industry is ill-equipped for the B2C approach, let alone the B2Me approach.

Simo identified what she called the “keys to empowerment and opportunity — knowledge, health, creativity, economic freedom, time, and support.” AI such as OpenAI’s ChatGPT can improve each in different ways, she said. For example, AI has the power to “democratize knowledge,” according to Simo’s memo. She imagined a future where everyone could have an AI tutor for any subject, providing as much opportunity for those who do not have the resources for high-quality learning as for those who do. McKinsey’s research, in my view, indicates what I believe the future holds—an increased need for companies to embrace the business-to-me (B2Me) approach rather than the business-to-consumer (B2C) one.

• That, of course, has also gotten Altman into hot water, since critics note that the film is more of a cautionary tale than a business opportunity.
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• This might include some combination of digital materials, one-on-one training, group workshops and other resources.
• AI is no different, and its adoption will undoubtedly pose some challenges.
• As opposed to small businesses, which might only have one line of operations, a mid-market organization could have several lines of business.

Tech and VC heavyweights join the Disrupt 2025 agenda

One of the fastest-growing segments of the business market faces a technology paradox. They’ve outgrown small business tools but sometimes remain too small for many types of traditional enterprise solutions. It’s not so much a new position as a new title that reflects the position that I’ve been in for the last little while. Over the last few years, everything that the team has been doing has been AI related, either machine learning or Gen AI. And so we felt the time was right to reflect that in the title. And so my direct reports will also have the same changes to their titles.

Supply chains were, by and large, built for the business-to-business (B2B) world—efficiency, cost reduction, stability and inventory planning—not for creating a great customer experience and offering value-added functions. From my observations, these characteristics often struggle to translate to the B2C approach in practice, but in theory, they should be effective. When you’re mass producing products such as soda and toothpaste, rather than personalizing them, you want a supply chain environment that’s set up for efficiency, cost reduction, stability and inventory planning.

But a couple of years ago, we said we’d really like to share some guidelines with everybody. And so we took some of the work that we had been doing more internally, and said, you know, which of these are really important to share? And so we came up with a preliminary list, and then we set about engaging with different stakeholders around the organization to get their perspectives. So, for example, our chief people officer to get her perspective in terms of impact on colleagues and the inclusion of colleagues. We talked to our customer-facing teams to understand what their customers were hoping to see from us in terms of responsible AI. So we went through this process of socialization before we landed on the six that we published, and we never intended them to be done.

Lovable becomes a unicorn with $200M Series A just 8 months after launch

Regarding employment, she acknowledged that “companies will hire fewer people as existing teams will be able to do far more in the same number of hours, and some jobs will be eliminated entirely. That’s why upskilling employees and teaching everyone how to take advantage of these technologies will be critical to ensure the economic opportunity is shared broadly,” she wrote. For enterprises looking to lead in AI adoption, this development means recognizing that operational complexity is a feature, not a bug. Seek AI solutions that work within that complexity rather than demanding simplification. The fastest AI ROI will come from solutions that understand and enhance existing business processes rather than replacing them.

The goal was for the machine to book appointments automatically, even if the business didn’t have a digital booking system like OpenTable. The AI would step in to robocall restaurants when reservations couldn’t be made online. Perhaps the clearest evidence of the seismic effect ChatGPT is having within the online search industry has been Google’s pivot, in response, to its own generative AI-powered features. AI Overviews has become the most conspicuous part of users’ interaction with Google’s search engine. In the B2Me world, designing for the average customer can lead to mediocrity. Leaders should re-architect their systems to respond to nuances such as shifting preferences, individual behaviors and contextual needs.

In fact, according to a survey conducted by SnapLogic, 39% of respondents said they believe it will be difficult to get everyone in their organization on board with AI. It was an impressive showing and many were legitimately awestruck. They were confused about whether or not the AI would identify itself as a robot. News outlets around the world debated the ethics of a machine intentionally deceiving humans. As many of its rivals expected, the $1.3 trillion “elephant in the room” has woken up.

Create context and provide examples to lower AI adoption barriers

Rather than being vice presidents of advanced analytics, they will be VPs and heads of AI for their businesses. It’s more of a reflection of the work we’re doing than it is a change in the work we’re doing. Introducing any new technology into the workplace can certainly shake things up.