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October 26.2025
3 Minutes Read

How Mondelez is Redefining Marketing with Generative AI Tools

Generative AI in Marketing with close-up of chocolate cookies and packaging

The Future of Marketing: Mondelez Steps Into Generative AI

Mondelez International, renowned for its beloved snack brands like Oreo and Cadbury, is taking a bold step into the future of marketing with the introduction of a generative AI tool. By investing over $40 million in collaboration with technology giant Accenture, the snack company aims to revolutionize how it produces marketing content. This innovative tool is set to reduce production costs by an impressive 30% to 50%, enabling Mondelez to streamline advertising and effectively respond to changing consumer demands.

Why Generative AI Matters in Today’s Market

In a competitive landscape increasingly shaped by economic pressures, Mondelez is not alone in seeking cost-effective solutions. Similar to its counterparts such as Kraft Heinz and Coca-Cola, the company recognizes the urgent need to innovate to sustain profitability amidst tariffs and shrinking budgets. Generative AI offers the potential to minimize reliance on traditional advertising agencies, which can be financially burdensome, thereby freeing up resources for product development and customer engagement.

A Closer Look at the Technology and Its Applications

The generative AI tool is not just a fleeting technology; it promises to redefine how marketing content is created. Mondelez plans to deploy the tool for upcoming product launches, including full-fledged TV ads just in time for next holiday season and the much-anticipated 2027 Super Bowl. Examples of its current use include social media content for Chips Ahoy cookies and Milka chocolate, showcasing how effectively the AI can generate tailored advertisements that resonate with different audience segments.

Success or Failure? Learning from Rival Attempts

Other companies have already ventured into AI-created ads, with mixed results. Coca-Cola’s initial foray into AI-generated holiday ads received backlash due to the emotional disconnect of computer-generated characters. However, Mondelez is keen to sidestep these pitfalls, focusing on visual engagement without featuring human likenesses. By ensuring human oversight of the generated content, Mondelez aims to maintain brand integrity while leveraging the efficiency of AI.

Real-World Impact: Targeted Advertising at Scale

With its sights set on utilizing AI in practical applications such as product pages for Amazon and Walmart in the U.S., Mondelez is poised to enhance its marketing strategy significantly. The ability to generate animated content that captures consumer attention is crucial, especially when it can be made at a fraction of traditional costs. The automation of such visual narratives enables brands to appeal to diverse customer bases quickly.

Guidelines to Navigate New Challenges

As Mondelez embraces this technology, it adheres to strict guidelines to prevent any missteps in advertisement messaging. Regulations ban content that promotes unhealthy eating habits or uses emotional manipulation and stereotypes. This proactive approach not only safeguards public image but also aligns with increasing consumer scrutiny over brand ethics. By committing to responsible AI usage, Mondelez aims to cultivate trust while innovating.

What Small Businesses Can Learn from Mondelez

This development at Mondelez serves as a case study for small business owners looking to harness AI effectively. The core lessons are clear: investing in technology can yield substantial cost savings and efficiencies, but it must be managed with careful oversight and ethical considerations. For small enterprises considering similar paths, starting small—perhaps with automated social media content—could pave the way for broader use of AI in marketing without the risk of overspending or misrepresentation.

Final Thoughts: The Crucial Role of Human Oversight

As we navigate the complexities of AI integration, the role of human judgment remains critical. Ultimately, Mundoled's approach exemplifies a balance between innovation and responsibility that all businesses, regardless of size, should strive for. Keeping consumers at the forefront while leveraging cutting-edge technology offers a promising route to a successful marketing strategy in this evolving landscape.

If you're a small business owner looking to dive into AI, consider exploring tools tailored for your needs and scale. Don't underestimate the power of AI to enhance your marketing efforts while maintaining authenticity and connection with your audience.

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12.26.2025

Can AI Transform the Energy Crisis It Helped Create?

Update Artificial Intelligence: A Double-Edged Sword As technology evolves, artificial intelligence (AI) has begun to play an indispensable role in various sectors, from healthcare to logistics. However, this very power surge from AI innovation has also led to an energy crisis that significantly impacts the electric grid's reliability. With energy demands skyrocketing, particularly from data centers powered by AI, we face a unique challenge: innovating our energy infrastructure to keep pace. By viewing energy as a strategic asset, both public and private sectors can navigate this turbulent landscape. The Current State of Our Energy Grid To fully grasp the problem, we must examine the current state of American energy infrastructure. Much of it is outdated, fragmented, and ill-equipped for the digital age. An increasing number of these infrastructures are struggling under a relentless surge in energy demand—projected to grow by as much as 78% by 2050 according to recent studies. This gap between energy demand and actual supply availability presents a dire national security challenge, as well as a critical opportunity for transformation. AI as a Solution to an AI-Created Problem Despite the challenges, AI offers the potential to create efficiencies in energy usage that we couldn't achieve before. For instance, accurate demand forecasting can prevent overbuilding and wasted capacity, while predictive maintenance can help avoid unexpected outages. By implementing dynamic energy management solutions, companies can respond in real-time to shifts in climate and demand. The Necessity for Collaboration While AI gives us the tools to improve energy management, a successful transition demands greater collaboration among stakeholders—utilities, regulators, data center operators, and lawmakers. Historically, these entities have operated in silos, which has hindered progress. Open communication and aligned incentives are vital as we strive for a grid that can meet tomorrow's energy demands. As we witness a critical inflection point in how we use energy, innovative partnerships can lead to a transformative impact on our communities. Leveraging Opportunities with AI Innovations History shows us that rising power demands can be met with ingenuity. For instance, Microsoft, Google, and other tech giants are investing significantly in nuclear energy, which is becoming more attractive as a reliable power source. Moreover, discussions around reusing heat generated by data centers show a practical and beneficial approach to waste management. These are just a few examples of how forward-thinking solutions can address pressing energy demands while building a competitive advantage. The Role of Generative AI Generative AI, a subset of AI technologies, holds promise for revolutionizing grid operations. By enabling predictive planning and offering real-time decision support, generative AI could transform our current energy systems into more reliable and resilient infrastructures. This supports the view that AI can be utilized to solve challenges while also ensuring that the grid is prepared for future demands. Challenges on the Horizon Despite the optimism, several challenges loom ahead. The lengthy processes involved in permitting and building new energy sources, coupled with pressures to provide affordable energy to low-income communities, could hamper progress. Legacy fossil assets may cling on longer than anticipated unless we can streamline the transition to cleaner sources like renewables and nuclear. Conclusion: The Time for Action is Now The intersection of AI and energy offers a unique challenge—and an incredible opportunity. We must act quickly and collaboratively to meet the surging demand for energy while optimizing our existing resources smarter. The future of energy stabilization lies in using AI not just to innovate but to create a unified approach to grid modernization. The next steps forward will require visionary leadership, robust partnerships, and widespread adoption of intelligent solutions.

12.26.2025

Unlocking AI Investment Insights: What Every Small Business Owner Should Know

Update The AI Investment Surge: A Snapshot of 2025 As we delve into 2025, it's evident that the artificial intelligence (AI) investment landscape is growing at a rapid pace. This year's insights from prominent investors highlight the dynamic interplay between startups and established tech giants, revolutionizing the business ecosystem. With nearly half of all global startup funding directed towards AI companies, stakeholders are rapidly shifting gears to harness the potential of this transformative technology. Why AI Investment is a Game Changer for Startups The financial backing received by AI startups has surged, amounting to around $100 billion in just the first half of 2025. Major players like Accel, Dell Technologies, Foundation Capital, GV, AI Fund, and Sierra Ventures have played a pivotal role in this revolution by investing in a range of innovative companies. Each investor highlights unique insights into how emerging technologies are carving their place within the market and influencing traditional business models. Understanding the Challenges: Infrastructure Bottlenecks While AI promises extraordinary advancements, it also presents distinct challenges, particularly concerning physical infrastructure. According to Steve Vassallo from Foundation Capital, the industry is poised to encounter significant bottlenecks related to energy, hardware, and data centers as demand escalates. The projected 117-gigawatt energy shortfall necessary for powering AI applications raises critical questions about sustainability and infrastructure readiness. The Growing Role of AI in Business Strategies Beyond infrastructure, organizations are beginning to integrate AI into their core business strategies. As Deloitte's 2025 Tech Value Survey reveals, a staggering 74% of organizations invested in AI capabilities last year. This not only highlights the growing reliance on AI but also the need for a strategic balance in tech budgets. Small business owners should take note: developing an AI identity can enhance decision-making processes, informing everything from operational efficiency to customer engagement. AI and the Evolution of Investment Strategies One of the most profound impacts of AI has been its ability to refine and transform investment strategies. Investors are increasingly leveraging AI to enhance data management, reduce biases, and foster creativity in their decision-making processes. The machine learning models help investors navigate through extensive data, ensuring only the most relevant information shapes their strategies. This integration aids not only in investment forecasting but also in mitigating hidden risks. What This Means for Small Business Owners For small business owners keen on embracing AI, understanding these investment dynamics offers a blueprint for success. By allocating budgets that include AI capabilities, they can ensure their businesses stay relevant in a competitive landscape. Investing in AI can lead to automated processes, improved customer interactions, and ultimately, higher returns on investment. Next Steps: Embracing AI for Future Growth With AI changing the investment landscape, it's critical for businesses—especially small firms—to consider integrating AI into their operations. Embracing this trend could lead to innovation, efficiency, and competitive advantage in the years to come. To explore concrete steps towards harnessing AI in your business, consider reaching out to experts in the field for personalized strategies and guidance tailored to your unique needs.

12.25.2025

Can Teacher Wisdom Shape AI Transition in Education Effectively?

Update The Crucial Role of Teacher Insight in the AI Education Revolution As artificial intelligence continues to revolutionize industries worldwide, its integration into educational settings is becoming a pivotal focus. The challenge lies in ensuring that this transition benefits all students, not just those with privileged access to technology. Alix Guerrier, CEO of DonorsChoose, argues that the insights and experiences of teachers can guide this transformative journey. With its deep engagement at the school level, DonorsChoose is uniquely positioned to address critical needs and inform educational policy based on real classroom data. The Current Landscape of Technology Requests in Classrooms According to Guerrier, the landscape of classroom technology requests is evolving rapidly. While traditional requests for books remain constant, there’s a significant uptick in the need for instructional technology—a trend accelerated by the COVID-19 pandemic. From smartboards to AI-based learning tools, teachers are pointing toward innovative resources that cater to diverse student needs. DonorsChoose reported a rise from around 600 AI-related requests last year to over 1,000 this academic year, reflecting a growing interest in leveraging AI to address varied learning styles. A Global Perspective: Lessons from Korea’s AI Revolution Korea’s education system serves as a compelling case study on the effective implementation of AI. The South Korean government has established a comprehensive strategy to integrate AI into classrooms, which began gaining momentum during the pandemic. Initiatives like AI digital textbooks are set to roll out nationally, allowing real-time data collection that helps personalize learning experiences for students. This systemic change emphasizes the importance of teacher facilitation over mere content delivery—reinforcing the notion that teachers must guide AI-based teaching methods. Empowering Educators Through Professional Development To leverage technology effectively, continuous professional development is paramount. South Korea is investing significantly in training programs to prepare educators for AI integration. This investment includes promoting communities for teachers to share best practices and facilitating hands-on learning experiences with new tools. Similarly, in the U.S., empowering teachers through resources like DonorsChoose can create a more engaged educational atmosphere where teachers feel supported, understood, and equipped to incorporate AI effectively into their pedagogy. Enhancing Learning through Collaborative AI Tools Projects like EcoJourneys illustrate how AI can enhance collaborative, immersive learning experiences. Designed for middle school students, this narrative-centered game blends AI with compelling stories about environmental science. The flexibility in how teachers integrate EcoJourneys into their curricula showcases the unique approaches each educator can take to engage students actively. By connecting academic content with real-world issues, teachers enrich their students' learning experiences, showcasing AI’s potential to extend beyond mere automation. Navigating Challenges: Ensuring Fair Access to Educational Technology Despite the progressive strides in AI technology in education, pitfalls remain. The digital divide can exacerbate existing inequities, leading to a disparity in educational outcomes. Therefore, as schools adopt AI tools, they must ensure equitable access to these resources for all students, regardless of background or funding capabilities. This focus on equitable implementation must be underscored by community input—especially from teachers, who understand the day-to-day challenges students face. Future Predictions: The Educator's Role in AI Integration For AI to truly revolutionize classrooms, educators must play a pivotal role in the ongoing integration process. They should not only facilitate the use of AI tools but also be active participants in shaping their development. As teachers contribute feedback and insights from their experiences, AI developers can tailor their products to better meet the educational needs of students. This collaborative model ensures that technology acts as an enhancer of human-led education rather than a replacement. Conclusion: The Path Forward The integration of AI in education is a complex, nuanced endeavor. While the technology offers immense potential to enhance learning, it requires a concerted effort from educators, policymakers, and technologists to ensure that it fulfills its promise to benefit all students. By listening to teachers and prioritizing their insights, we can create a more equitable and effective educational landscape. As small business owners contemplate their AI strategies, the lessons learned from empowering teachers can inform more inclusive practices that bridge gaps for future generations.

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