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The Race is On: AI Gets Real, Slow and Steady Wins the Race

AI adoption is progressing cautiously across various sectors, with companies prioritising careful deliberation over rapid transformation.

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AI adoption

TL/DR:

  • AI adoption is progressing cautiously across various sectors, with companies prioritising careful deliberation over rapid transformation.
  • Industries like healthcare and legal services are facing challenges in integrating AI due to inconsistencies and the need for human oversight.
  • The tech and visual design sectors are seeing significant AI integration, with predictions of AI handling up to 80% of coding tasks by next year.

In the wake of ChatGPT’s dramatic arrival two years ago, companies are excited about generative AI’s possibilities but heading into 2025 with careful deliberation rather than rushing to transform their operations. The Channel Tunnel, one of the world’s most strained travel checkpoints, presents a compelling example of AI’s current limitations and practical applications.

Each day, 400 of the world’s largest locomotives cross the tunnel linking France and Britain, with nearly 11 million rail passengers and 2 million cars carried through annually. For GetLink, the company managing the 800-meter-long trains, caution around AI implementation remains paramount.

“We’re in a highly regulated business. We’re not kidding around. These are very strict procedures.”
Denis Coutrot, GetLink’s Chief Data and AI officer
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Rather than controlling train operations, their AI primarily handles more mundane tasks like searching through rules and regulations. The legal sector, initially viewed as prime for AI disruption, tells a similar story.

“ChatGPT is obviously incredible. But it’s really quite hard to apply it in your day-to-day workflows in a way that is impactful,” noted James Sutton, founder and CEO of Avantia Law.
Denis Coutrot, GetLink’s Chief Data and AI officer
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While AI excels at basic tasks like searching legal databases and generating simple summaries, more complex work requires careful human oversight.

Sutton explained that AI’s inconsistency remains a challenge:

“One contract I can put in and the AI kicks it out perfectly. Another one will be 40 percent right. That lack of certainty means lawyers still have to verify everything.”

The tech industry presents a more aggressive adoption curve. Google reports that 25 percent of its coding is now handled by generative AI. JetBrains CEO Kirill Skrygan predicts that by next year, AI will handle about 75-80 percent of all coding tasks.

“Developers are using AI as assistants to generate code, and these numbers are growing every day,” said Skrygan at the Web Summit in Lisbon. “The next level is coding agents that can resolve entire tasks usually assigned to developers.”
Kirill Skrygan, CEO JetBrains
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He suggested that over time, these agents could replace virtually all of the world’s millions of developers. Visual design industries, particularly fashion, are seeing significant impact from AI image generators like DALL-E, Midjourney, and Stable Diffusion. These tools are already transforming work habits and shortening time-to-market for new collections.

In healthcare, despite a study showing AI’s potential —including one where ChatGPT outperformed human doctors in diagnosis from case histories — practitioners remain hesitant to fully embrace the technology.

“They didn’t listen to AI when AI told them things they didn’t agree with,” Dr. Adam Rodman, who carried out the study, told the New York Times.

Companies face a complex calculation between innovation, prudence and how much they are willing to spend.

“It will take some time for the market to sort out all of these costs and benefits, especially in an environment where companies are already feeling hesitation around technology investments.”
Seth Robinson, VP for industry research at CompTIA.
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Anant Bhardwaj, CEO of Instabase, believed that AI’s limitations were real but temporary.

“The real new innovation, like new physics or new ways of space exploration, those are still beyond the reach of AI… If people think that AI can solve every single human problem, the answer today is ‘No.’”
Anant Bhardwaj, CEO of Instabase
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While AI excels at processing existing patterns and data, Bhardwaj argued it lacks the human curiosity needed to explore truly new frontiers. But he predicted that within the next decade, most industries will have some form of AI-driven operations, with humans in the backseat, but complete AI autonomy remains distant. Still, the disruption caused by AI is coming hard and fast, and countries must be prepared.

“White collar process work is hugely impacted, that’s already happening. Call centers is already happening,” Professor Susan Athey of Stanford University told a statistics conference at the IMF.
Professor Susan Athey of Stanford University
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Athey, an economist of the tech industry, expressed worry about regions where a core profession such as call centers risked being swept away by AI.

“Those are ones I would really watch very carefully. Any country that specialises in call centers, I’m very concerned about that country,” she said.
Professor Susan Athey of Stanford University
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The Cautious Approach to AI Adoption

  • Regulated Industries: Sectors like transportation and legal services are adopting AI cautiously, focusing on mundane tasks while ensuring strict regulatory compliance.
  • Tech Industry: The tech sector is more aggressive in AI adoption, with predictions of AI handling up to 80% of coding tasks by next year.
  • Visual Design: AI image generators are transforming the fashion industry, shortening time-to-market for new collections.

AI in Healthcare: Potential and Challenges

  • Diagnostic Capabilities: AI has shown potential in healthcare, outperforming human doctors in some diagnostic tasks.
  • Hesitancy: Practitioners remain hesitant to fully embrace AI due to inconsistencies and the need for human oversight.
  • Future Prospects: While AI’s limitations are real, its impact on healthcare is expected to grow, albeit slowly.

The Economic Impact of AI

  • White Collar Jobs: AI is significantly impacting white collar process work, including call centers.
  • Economic Concerns: Countries specialising in call centers are at risk of being swept away by AI, raising economic concerns.
  • Preparedness: Nations must be prepared for the disruption caused by AI, ensuring economic stability and job security.

Looking Ahead: The Future of AI

  • Industry Integration: Within the next decade, most industries will have some form of AI-driven operations.
  • Human Oversight: Complete AI autonomy remains distant, with humans still needed for oversight and decision-making.
  • Innovation: AI’s limitations in exploring new frontiers highlight the need for human curiosity and innovation.

As we navigate the exciting yet complex landscape of AI, it is crucial for us to approach its adoption with caution and deliberation. While AI offers immense potential, it also presents challenges that require careful consideration. Our cautious approach ensures that we maintain regulatory compliance, address inconsistencies, and prioritise human oversight. This balanced strategy will enable us to harness AI’s benefits while mitigating risks, paving the way for a sustainable and innovative future.

Join the Conversation:

How is your industry adapting to the rise of AI and AGI? We’d love to hear your experiences and thoughts on the future of these technologies. Don’t forget to subscribe for updates on AI and AGI developments and share your insights in the comments below.

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Microsoft 365 Copilot Chat: AI Productivity Without the Subscription

Microsoft 365 Copilot Chat brings free AI-powered chat and pay-as-you-go AI agents to businesses, offering flexible task automation without a full subscription. Discover how it works, pricing details, and whether it’s right for you.

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Microsoft 365 Copilot Chat

TL;DR – What You Need to Know in 30 Seconds

  • Microsoft 365 Copilot Chat introduces free AI-powered chat with GPT-4 and pay-as-you-go AI agents for automating business tasks.
  • Key features: Market research, document summarisation, real-time collaboration, AI-generated images, and file uploads.
  • Pay-as-you-go AI agents automate repetitive tasks, billed at $0.01 per message or $200 for 25,000 messages/month.
  • Enterprise-grade security & IT controls ensure data protection, agent governance, and compliance with company policies.
  • Difference from Microsoft 365 Copilot: Copilot Chat offers a free entry point, while Microsoft 365 Copilot provides deep integration and personalised AI assistance for $30 per user/month.

Microsoft 365 Copilot Chat: Free AI Chat with Flexible AI Agents

Microsoft has expanded its AI-powered productivity offerings with Microsoft 365 Copilot Chat, an enhanced chat solution powered by GPT-4. Unlike the premium Microsoft 365 Copilot, which requires a monthly subscription, Copilot Chat offers a free chat experience with optional pay-as-you-go AI agents. This model makes AI-powered automation more accessible to businesses while maintaining enterprise-grade security and IT control.

What’s New in Microsoft 365 Copilot Chat?

Copilot Chat provides a secure, AI-powered assistant that can handle everything from market research and strategy development to content creation and file analysis. Key features include:

AI-Powered Chat (Free)

  • Secure chat powered by GPT-4 for research, strategy documents, and meeting preparation.
  • File uploads allow users to summarise reports, analyse Excel spreadsheets, and improve presentations.
  • Copilot Pages enables real-time collaboration between humans and AI.
  • AI-generated images for campaigns, product launches, and social media posts.

Pay-As-You-Go AI Agents

  • Task automation: Agents can be created via natural language prompts to handle repetitive tasks.
  • Flexible pricing: $0.01 per message or $200 for 25,000 messages/month via Microsoft Azure.
  • Enterprise IT controls: IT admins manage agent deployment and permissions via Microsoft Copilot Studio.

IT & Data Protection Features

  • Enterprise Data Protection (EDP): Ensures uploaded content isn’t used to train AI models.
  • Copilot Control System: Governs agent access, usage, and security policies.
  • Access control & monitoring: IT teams can track agent interactions and adjust permissions.

Copilot Chat vs. Microsoft 365 Copilot: What’s the Difference?

While both solutions leverage AI, Copilot Chat offers an on-demand AI assistant, whereas Microsoft 365 Copilot provides a deeply integrated AI experience. Here’s how they compare:

FeatureMicrosoft 365 Copilot ChatMicrosoft 365 Copilot
PricingFree chat, $0.01 per agent message$30/user/month
AI ModelGPT-4, web-grounded chatGPT-4, integrates with Microsoft 365 apps
Document Uploads & Analysis
AI Image Generation
Agent Automation✅ (Pay-as-you-go)✅ (Subscription-based)
Microsoft 365 App Integration❌ (Limited)✅ (Full access)
Enterprise IT Controls✅ (More advanced controls)

How Businesses Can Benefit from Copilot Chat

💡 Lower Cost, Higher Flexibility:
Companies can use free AI chat and only pay for AI agents when needed—ideal for businesses that don’t require a full Microsoft 365 Copilot subscription.

💡 Task Automation for Teams:
Teams can automate manual, repetitive workflows with AI agents, optimising efficiency without major IT infrastructure changes.

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💡 Enterprise-Grade Security & Control:
IT admins can manage AI agent permissions, ensuring compliance and governance over data access and automation tools.

How to Get Started with Copilot Chat

1️⃣ Enable Free AI Chat: Available by default for Microsoft 365 commercial customers via Microsoft365.com/copilot.
2️⃣ Use AI Agents (Optional):

  • Free agents (based on public data and uploaded files) are enabled via Microsoft 365 Admin Center.
  • Paid agents require a Copilot Studio subscription via the Power Platform Admin Center (PPAC).
    3️⃣ Choose Your Pricing Model:
  • Pay-as-you-go: $0.01 per message (billed via Azure).
  • Capacity packs: $200 for 25,000 messages/month.
    4️⃣ Manage and Monitor Agents: IT admins can monitor usage, trends, and performance through Microsoft Copilot Studio.

Final Thoughts: A More Flexible AI Assistant for Businesses

Microsoft 365 Copilot Chat represents a shift towards AI accessibility and flexibility, offering both free AI-powered chat and on-demand automation. While Microsoft 365 Copilot remains the go-to solution for businesses deeply embedded in the Microsoft ecosystem, Copilot Chat provides a cost-effective alternative for those seeking AI-powered efficiency without a full subscription commitment.

For businesses looking to streamline workflows, automate tasks, and leverage AI without long-term contracts, Copilot Chat’s pay-as-you-go agents offer a compelling alternative to traditional AI subscriptions.

Let’s Talk AI!

How are you preparing for the AI-driven future? What questions are you training yourself to ask? Drop your thoughts in the comments, share this with your network, and subscribe for more deep dives into AI’s impact on work, life, and everything in between.

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ByteDance’s $12 Billion Investment in AI Infrastructure Set for 2025

ByteDance plans to invest over $12 billion in AI infrastructure in 2025 to enhance global model training capabilities with Nvidia chips.

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ByteDance AI investment

TL;DR:

  • ByteDance is planning to invest over $12 billion in AI infrastructure in 2025, with $5.5 billion allocated for AI chips in China and $6.8 billion dedicated to enhancing model training capabilities internationally.
  • This move is aimed at strengthening ByteDance’s AI prowess to stay competitive against Chinese tech giants like Baidu, Alibaba, and Tencent.
  • The investment includes a significant focus on acquiring Nvidia chips to bolster global AI initiatives.

If you’ve been keeping an eye on the tech world, ByteDance—the mastermind behind TikTok—is making headlines again. This time, they’re gearing up for a colossal $12 billion investment in AI infrastructure in 2025, according to the Financial Times. Let’s break down what this means and why it’s a big deal.

The Investment Breakdown

ByteDance’s ambitious plan involves:

  1. $5.5 billion on AI chips in China: This substantial investment is set to double their spending from the previous year, highlighting a strong commitment to enhancing domestic AI capabilities.
  2. $6.8 billion to boost global model training capabilities: A significant portion of this budget is earmarked for acquiring advanced Nvidia chips, underscoring ByteDance’s strategy to leverage top-tier technology for AI model training.

Why This Matters

  1. Elevating AI Capabilities: With this hefty investment, ByteDance aims to elevate its AI infrastructure, ensuring that platforms like TikTok continue to offer cutting-edge features and personalised user experiences.
  2. Staying Ahead in the AI Race: In the fiercely competitive tech landscape, this move positions ByteDance to keep pace with, or even outpace, rivals such as Baidu, Alibaba, and Tencent, all of whom are making significant strides in AI development.
  3. Strategic Partnerships: By investing heavily in Nvidia chips, ByteDance is aligning itself with a leader in AI hardware, which could lead to more advanced and efficient AI models powering its platforms.

The Bigger Picture

This investment isn’t just about staying competitive; it’s about setting the stage for the future. As AI continues to evolve, companies that invest in robust infrastructure and cutting-edge technology will be better positioned to lead the market. ByteDance’s substantial commitment to AI underscores its vision to be at the forefront of this technological revolution.

Final Thoughts

ByteDance’s planned $12 billion investment in AI infrastructure is a bold move that signals its intent to lead in the AI-driven future. By focusing on both domestic and international advancements and partnering with industry leaders like Nvidia, ByteDance is not just keeping up with the competition—it’s setting the pace.

What are your thoughts on ByteDance’s massive AI investment? Let’s discuss in the comments below.

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Paul McCartney’s Concerns: AI Copyright in the Creative Industry

Sir Elton John and Sir Paul McCartney are raising concerns over AI’s impact on artists’ copyrights.

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AI and copyright in the creative industry

TL;DR:

  • Sir Elton John and Sir Paul McCartney are calling out AI for ripping off artists’ work—without paying a dime.
  • They’re backing changes to the Data (Use and Access) Bill to protect copyrights in the age of generative AI.
  • This is a global wake-up call: AI is amazing, but can creators afford to lose control of their own art?

What’s the Fuss About?

If you’ve been paying attention to the creative world lately, you’ve probably heard a lot about AI “stealing” from artists. Sounds dramatic, right? Well, it’s not just hype. Big names like Sir Elton John and Sir Paul McCartney are making some noise about how AI is being trained on artists’ works—without permission or payment.

Here’s the deal. AI systems, like the ones used to create fake Drake songs or uncanny art, need heaps of data to learn. That data? Often, it’s pulled from publicly available sources, which means your favourite song, artwork, or book might have been used to teach an AI how to mimic its style. And guess what? Nobody’s cutting cheques for the original creators.

The Legal Battleground: The Data (Use and Access) Bill

This is where the Data (Use and Access) Bill comes in. Right now, it’s under review in the UK, and some suggested amendments could be a game-changer. If approved, they’d make sure creators have a say (and get paid) when their work is used to train AI. Think of it as copyright protections 2.0—designed for the AI era.

Sir Elton and Sir Paul argue this is essential. Without such protections, creators might lose control of their own work, leaving the door open for corporations to profit off their creativity without a second thought. And let’s face it: that’s not a future anyone wants.

McCartney’s concerns are shared by a coalition of publishers, artists’ groups, and media organisations known as the Creative Rights in AI Coalition, which opposes weakening copyright protections.

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Why Creators Are Worried

The backlash isn’t just about royalties (although, let’s be honest, that’s a big part of it). It’s also about authenticity. Imagine an AI-generated song using Sir Paul’s voice—but without his input or consent. Is it still “his” music? And if the lines between real and fake keep blurring, what happens to trust in the creative industry?

The tension is real:

  • Creators say AI is exploiting their work without permission.
  • AI advocates argue it’s all “fair use” and promotes innovation.
  • Fans? They’re caught in the middle, wondering if the next viral song is even legit.

What’s Next for AI and Copyright?

The future of copyright and AI is still being written (pun intended). If the amendments to the Data (Use and Access) Bill pass, it could set a global precedent for how we protect creativity in the AI age. But legislation is only part of the solution.

Here’s what needs to happen:

  1. Transparency: Companies need to be upfront about where their training data comes from.
  2. Fair Compensation: If you’re using someone’s work, pay them for it. Simple.
  3. Collaboration: Artists, lawmakers, and tech firms must find a balance that works for everyone.

Platforms like OpenAI are starting to take small steps, allowing rights holders to opt out of having their work used for training (source: OpenAI Blog, https://openai.com/blog). But let’s not kid ourselves—there’s a long way to go.

  • And you can watch the interview with Paul McCartney here.
  • You can read more about the proposed legislation and its potential impact on APNews.

The Big Question

AI is undeniably powerful, but it doesn’t replace human creativity. It’s like giving a robot a paintbrush—it can make something impressive, but does it have soul?

What do you think? Should AI have free reign to use whatever it wants, or is it time for tighter rules to protect creators?

Join the conversation, subscribe to our newsletter, and become part of our community of AI enthusiasts. Let’s shape the future of AI—together.

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