Getting ahead on national AI adoption and innovation takes hard work. Falling behind could take only a moment of hesitation. This is the warning from Google based on our new study on the economic potential of generative AI in the Netherlands, conducted by our team in Implement Consulting Group. 𝗧𝗛𝗘 𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟: The Netherlands has consistently led AI adoption and development within Europe. Consequently, The Netherlands is well placed to capture the benefits of the new wave of AI. Our analysis identifies that generative AI could boost the Netherlands' GDP by €80-85 billion over the next ten years, assuming widespread adoption. This represents a potential increase of up to 9% in GDP. 𝗧𝗛𝗘 𝗥𝗜𝗦𝗞: However, capturing these potentials will require further action. A delay in adopting and developing generative AI could significantly reduce its economic benefits—from a potential 9% increase in GDP to just 2%. 𝗧𝗛𝗘 𝗪𝗔𝗬 𝗙𝗢𝗥𝗪𝗔𝗥𝗗: To fully capture AI's potential, strategic policy initiatives must be implemented. Recommendations for the Netherlands include: ⚡ Enhance AI research and development: Increase investment in AI research and foster innovation ecosystems by supporting public-private partnerships and academia-industry collaborations. ⚡ Upskill and reskill the workforce: Implement robust programs to upskill and reskill the workforce, especially targeting sectors and jobs most susceptible to transformation or displacement by AI technologies. ⚡ Strengthen AI infrastructure and accessibility: Invest even in digital infrastructure to support AI technologies, ensuring that advanced computational resources are accessible to businesses of all sizes, including startups and SMEs. You can download the full report here: https://lnkd.in/dHxMxj_K You can also read Google's coverage of the report here (in Dutch): https://lnkd.in/dY_Wx2y2
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Getting ahead on national AI adoption and innovation takes hard work. Falling behind could take only a moment of hesitation. This is the warning from Google based on our new study on the economic potential of generative AI in the Netherlands, conducted by our team in Implement Consulting Group. 𝗧𝗛𝗘 𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟: The Netherlands has consistently led AI adoption and development within Europe. Consequently, The Netherlands is well placed to capture the benefits of the new wave of AI. Our analysis identifies that generative AI could boost the Netherlands' GDP by €80-85 billion over the next ten years, assuming widespread adoption. This represents a potential increase of up to 9% in GDP. 𝗧𝗛𝗘 𝗥𝗜𝗦𝗞: However, capturing these potentials will require further action. A delay in adopting and developing generative AI could significantly reduce its economic benefits—from a potential 9% increase in GDP to just 2%. 𝗧𝗛𝗘 𝗪𝗔𝗬 𝗙𝗢𝗥𝗪𝗔𝗥𝗗: To fully capture AI's potential, strategic policy initiatives must be implemented. Recommendations for the Netherlands include: ⚡ Enhance AI research and development: Increase investment in AI research and foster innovation ecosystems by supporting public-private partnerships and academia-industry collaborations. ⚡ Upskill and reskill the workforce: Implement robust programs to upskill and reskill the workforce, especially targeting sectors and jobs most susceptible to transformation or displacement by AI technologies. ⚡ Strengthen AI infrastructure and accessibility: Invest even in digital infrastructure to support AI technologies, ensuring that advanced computational resources are accessible to businesses of all sizes, including startups and SMEs. 𝗢𝗡𝗘 𝗧𝗢 𝗪𝗔𝗧𝗖𝗛: The Dutch Government has already taken significant steps to facilitate the development and adoption of generative AI by releasing a vision paper for government-wide adoption. This document outlines the path forward for generative AI utilization in public agencies, including central technological testing efforts and a commitment to legislative streamlining, thereby providing the necessary flexibility for authorities to implement ethical and innovative solutions benefitting everyone. You can also read Google's coverage of the report here: https://lnkd.in/dY_Wx2y2
An Implement Consulting Group study commissioned by Google
implementconsultinggroup.com
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Just one in ten UK tech leaders have large scale implementations of any kind of AI, a figure that has not changed in five years. This is according to a survey by recruitment agency Nash Squared – a digital services company which owns recruiter Harvey Nash – which found just 12 percent of 1,185 tech leaders surveyed in the UK are prepared for the demands of generative AI. Despite the lack of investment, Bev White, CEO of Nash Squared, said more significant adoption of generative AI might be just around the corner. Or maybee it's like one of the comments to the article say: "Plan for ... what? ... It's not like AI currently does anything much that is actually useful...." What do you think? Know any good usecases for GenAI, that adds something important to the system and the users - Need to have more than Nice to have? Read much more in the article .... https://lnkd.in/ea9YaWiS #GenAI #investmentplans #implementations ¤usecases
Just one in ten UK orgs have significant AI investment plan
theregister.com
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Insights on AI's Impact on Business and Employment in the Netherlands Recent studies from the Implement Consulting Group and Stanford University highlight significant developments in AI's role in the economy and job market. Read more below! ---------------------------------------------------------------------------------------------- Economic Growth through AI in the Netherlands Research suggests that generative AI could boost the Netherlands' GDP by EUR 80-85 billion over the next decade, primarily through productivity improvements and automation. While AI will alter 67% of jobs, it's also expected to create new roles, effectively balancing the job market. These findings point to the critical role of AI in maintaining economic stability and employment. Source: https://lnkd.in/eSiVf8Y3 The Stanford report reveals that AI is advancing rapidly, often outperforming humans in specific tasks. Investment is increasingly focused on generative AI, reflecting its potential to enhance productivity and fill skill gaps. However, there remains a public skepticism about AI, emphasizing the need for thoughtful change management in its implementation. Source: https://lnkd.in/eKXTJQDF These developments indicate that timely AI adoption is crucial for staying competitive. AI can improve efficiency and keep your workforce relevant in an evolving technological landscape. Unsure where to start or how to turn your AI efforts into a success? Let's have a chat! #AIforBusiness #BusinessStrategy #FutureOfWork #Innovation
An Implement Consulting Group study commissioned by Google
implementconsultinggroup.com
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AI ecosystems are revolutionizing the way businesses operate. This presents an extraordinary opportunity to leverage AI and thrive in an increasingly competitive digital landscape. AI ecosystems bring together a diverse range of stakeholders, including AI companies, startups, researchers, and industry leaders. These collaborations foster innovation and drive the development of cutting-edge AI solutions. By participating in AI ecosystems, enterprises gain access to a wealth of expertise, resources, and partnerships that can accelerate their AI initiatives. The benefits of AI ecosystems go beyond individual organizations. They enable knowledge sharing and collaboration, creating a collective intelligence that propels the entire ecosystem forward. With cross-pollination of ideas and expertise, AI ecosystems become powerful catalysts for breakthroughs, facilitating the creation of AI-powered solutions that address complex business challenges. Enterprise executives should actively seek opportunities to engage with AI ecosystems. By joining forces with other players in the AI space, they can access a wide array of AI technologies, data sets, and talent. This collaborative approach allows enterprises to fast-track their AI implementations, drive innovation, and gain a competitive edge in the market. Picture the possibilities of integrating cutting-edge AI technologies from different companies or leveraging AI startups' novel solutions to optimize your operations, enhance customer experiences, or pioneer new business models! AI ecosystems unleash a world of opportunities for enterprises willing to step forward and actively participate. Engage with partners, foster collaborations, and embrace the collective intelligence that these ecosystems offer. Together, we can shape the future of business, where AI-driven innovation propels us towards unprecedented success. #AI #Innovation #DigitalTransformation
How AI Ecosystems Are Transforming the Future of Business | Entrepreneur
entrepreneur.com
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Yep. Without a doubt, the biggest issue I see is Uncertainty. After decades of false starts, AI can now transform every business. Companies like ServiceNow are demonstrating record growth with straightforward solutions accessible by any company. There is a ton of value available from simply passing text (emails, documents, chats...) to an LLM and batch-processing it with prompts. But most companies are stuck for the reasons Andreas Goeldi outlines below. What do companies do when they are Uncertain? They delay.
If generative AI is so great, why are we not seeing more of it in daily use in companies? The hype around generative AI is in full swing, with blockbuster funding announcements and daily technical breakthroughs. Yet this exuberance contrasts sharply with the commercial reality on the ground. While AI apps for individuals are taking off, enterprise adoption has been slow. Most corporate AI projects are small-scale experiments that rarely make it to production. This divergence between the hype cycle and real-world adoption is typical whenever a transformative new technology emerges. The hype cycle explains the wild mood swings, while actual deployment follows a slower S-curve pattern. Several factors are holding back enterprise adoption of generative AI today: - Uncertainty about the most effective use cases - Rapidly evolving capabilities that are not yet stable enough for large-scale IT projects - Scarcity of AI engineering talent - Need for end users to learn complex new tools - Difficulty building an ROI case given all the unknowns However, we've seen this story before with technologies like cloud computing. The tipping point of the S-curve often happens right when the hype is at its lowest. Patient innovators then figure out the unique capabilities that unlock new efficiencies. AI startups need to be bold and creative to bridge this adoption gap. Read the full post to find out how: https://lnkd.in/eqr9GC_x (Summary written by TextCortex AI)
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Generative AI is on the rise (obviously!) but many businesses are struggling to execute. Expectations are high but many executives are reporting budget, time, and resource constraints for both deployment and measurement. Respondents surveyed cite 5 key challenges to adoption. Find out what they are in a quick click! What other hurdles are you seeing or experiencing? #GenerativeAI #ArtificialIntelligence #AIML
59% of orgs lack resources to meet generative AI expectations: Study
https://venturebeat.com
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Why are businesses so much slower to adopt and integrate generative AI than the hype would suggest? 🤔 It's because the FUD is real – Fear, Uncertainty and Doubt. As Andreas Goeldi states — while individual AI apps are soaring, enterprise adoption is crawling. It’s crucial to recognize that AI isn't here to replace us; it's here to assist us and make what we do even better: https://hubs.la/Q02r47fG0 So, what does this mean for the future of work? It means saying goodbye to content chaos and hello to a new era of efficiency and creativity. With AI by your side, the possibilities are endless: https://hubs.la/Q02srdq50 #AI #AIAdoption #Ecommerce #Retail #GenAI
If generative AI is so great, why are we not seeing more of it in daily use in companies? The hype around generative AI is in full swing, with blockbuster funding announcements and daily technical breakthroughs. Yet this exuberance contrasts sharply with the commercial reality on the ground. While AI apps for individuals are taking off, enterprise adoption has been slow. Most corporate AI projects are small-scale experiments that rarely make it to production. This divergence between the hype cycle and real-world adoption is typical whenever a transformative new technology emerges. The hype cycle explains the wild mood swings, while actual deployment follows a slower S-curve pattern. Several factors are holding back enterprise adoption of generative AI today: - Uncertainty about the most effective use cases - Rapidly evolving capabilities that are not yet stable enough for large-scale IT projects - Scarcity of AI engineering talent - Need for end users to learn complex new tools - Difficulty building an ROI case given all the unknowns However, we've seen this story before with technologies like cloud computing. The tipping point of the S-curve often happens right when the hype is at its lowest. Patient innovators then figure out the unique capabilities that unlock new efficiencies. AI startups need to be bold and creative to bridge this adoption gap. Read the full post to find out how: https://lnkd.in/eqr9GC_x (Summary written by TextCortex AI)
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We have spent many hours talking with our customers and find that uncertainty is a huge barrier to their #AI adoption. That is why we have #partnered with organizations like Prolego, which understands AI and knows how to help organizations overcome uncertainty and clear the path for developing effective AI strategies. Let us—and our extensive partner ecosystem—help you #StepontheGaaS and remove the uncertainty with your AI journey. Ken Moreano Dominic Romeo Bill Torson Traci Williams Hancock Kevin Dewalt Russ Rands
If generative AI is so great, why are we not seeing more of it in daily use in companies? The hype around generative AI is in full swing, with blockbuster funding announcements and daily technical breakthroughs. Yet this exuberance contrasts sharply with the commercial reality on the ground. While AI apps for individuals are taking off, enterprise adoption has been slow. Most corporate AI projects are small-scale experiments that rarely make it to production. This divergence between the hype cycle and real-world adoption is typical whenever a transformative new technology emerges. The hype cycle explains the wild mood swings, while actual deployment follows a slower S-curve pattern. Several factors are holding back enterprise adoption of generative AI today: - Uncertainty about the most effective use cases - Rapidly evolving capabilities that are not yet stable enough for large-scale IT projects - Scarcity of AI engineering talent - Need for end users to learn complex new tools - Difficulty building an ROI case given all the unknowns However, we've seen this story before with technologies like cloud computing. The tipping point of the S-curve often happens right when the hype is at its lowest. Patient innovators then figure out the unique capabilities that unlock new efficiencies. AI startups need to be bold and creative to bridge this adoption gap. Read the full post to find out how: https://lnkd.in/eqr9GC_x (Summary written by TextCortex AI)
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𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐂𝐨𝐮𝐥𝐝 𝐁𝐨𝐨𝐬𝐭 𝐈𝐫𝐢𝐬𝐡 𝐄𝐜𝐨𝐧𝐨𝐦𝐲 𝐛𝐲 €𝟒𝟎-𝟒𝟓 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐎𝐯𝐞𝐫 𝐍𝐞𝐱𝐭 𝐃𝐞𝐜𝐚𝐝𝐞 Generative AI could lead to a €40-45 billion boost in Ireland’s economy over the next decade if fully adopted, according to a new study. Generative AI will be able to help with two-thirds of jobs, or 1.7 million roles. It seems unlikely that 800,000 jobs, or 28% of the total, will see any automation at all. #GenerativeAI #AIEconomy #IrishEconomy #AIInnovation #ciooutlookmagazine
Generative AI Could Boost Irish Economy by €40-45 Billion Over Next Decade
https://ciooutlookmagazine.com
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"That’s why a Generative AI strategy needs to be a whole-of-government strategy. Gen AI tools are so ubiquitous that they could soon show up as basic competencies in role requirements, like using Word or Excel... So governments’ AI strategy needs to become their hiring, enablement, upskilling, and procurement strategy." For the GTF's Technologies for Governments' Lab Government's AI Handbook, an excellent exclusive interview with Leonardo Quattrucci from Apolitical on what adopting AI really means for the nationwide public sector adoption. Spoiler: it is very different from the private sector one! Our Government's AI Handbook is available for some of our selected network members starting today and will be mode widely distributed from mid-February. It has been created as a result of our Tampere Lab, in partnership with Tampereen kauppakamari, Apolitical, Tampere University, Business School Lausanne (BSL), and other partners.
Leonardo Quattrucci: “I would like for governments to be seen as adopters of technology, rather than just producers of policies and regulations.” — Government Tomorrow Forum
governmenttomorrow.com
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Chief Growth Officer at Scrupp | Driving Sales Growth, Analytics Expert
4wImpressive insights and recommendations! Thanks for sharing.