Explorez tous les épisodes du podcast Future Bytes

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At Microsoft Build, Microsoft became a frontier lab in its own right — shipping models that beat Claude Haiku and match Claude Opus inside the products it has historically used to distribute OpenAI. The same day, Anthropic filed to go public and expanded Mythos to NATO. This week’s Future Bytes News unpacks what that means for your vendor map and your security team.

This weeks highlights:

•Microsoft launched MAI Code 1 Flash and MAI Thinking 1 — its own models that beat Claude Haiku and match Claude Opus.

•Microsoft is now a frontier lab competing with the same labs it has historically distributed inside its own products.

•Anthropic filed a draft S-1 for an IPO — one week after closing a $65B funding round.

•Anthropic expanded Mythos to 200 organizations including NATO — 10,000 critical vulnerabilities surfaced in eight weeks of restricted access.

•OpenAI’s frontier models are now on AWS — removing the cloud barrier for shops that had defaulted to Anthropic.

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The era of logging into software and telling it what to do is ending. Magnus Oxenwaldt sits down with Vignesh Subramani, SVP of Product Management at Infor, with over 25 years of experience in enterprise software, to explore what the shift from applications to autonomous agents really means for business leaders in manufacturing, distribution, healthcare, fashion, and food and beverage. 

Vignesh has lived through every major shift: client-server, e-commerce, mobile, SaaS. And he's clear this one is different. Not a new feature, but a new architecture. We are no longer adding intelligence to software. We are building software around intelligence. The conversation covers the jagged reality of AI today, the accountability gap between vendors and customers, and what leaders need to do right now to prepare their data, processes, and people. It's also a window into how Infor embeds industry-specific workflows and governed AI agents into its platform, so customers get AI that understands their business, not a generic model bolted on top. 

Episode Highlights 

• Enterprise software is shifting from applications to agentic AI. 
• The 85% accuracy problem — why near-perfect AI still fails in mission-critical operations. 
• How to decide which business decisions to hand over to agents. 
• AI accountability: where vendor responsibility ends and customer responsibility begins. 
• Why industry specificity matters — how Infor builds AI agents trained on the data, workflows, and terminology of specific industries rather than generic models. 
• Practical steps to become AI-ready: data quality, governance, and upskilling. 

Connect with Vignesh on LinkedIn: https://www.linkedin.com/in/vsubran/ 

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In five business days, the Pope called for AI to be disarmed and Anthropic announced wide release of the capability that triggered emergency Treasury meetings seven weeks ago. This week’s Future Bytes News unpacks what that means for your security team, your vendor diligence, and your roadmap.

This weeks highligts

• Pope Leo XIV published a 42,000-word encyclical warning AI must be “disarmed”, and presented it at the Vatican alongside an Anthropic cofounder three days before Anthropic reversed course on its most dangerous model.
• Anthropic’s Mythos-class cybersecurity A, the one deemed too dangerous to release seven weeks ago and flagged by the US Treasury — is now coming to all customers.
• Anthropic closed a $65B Series H at a $965B valuation — the largest private AI funding round in history, making it the most valuable AI startup in the world.
• OpenAI and Anthropic moved in opposite directions on frontier access this week — one loosening, one tightening. This confirms that there is no shared safety standard between the two leading labs.
• OpenAI’s confidential IPO filing was reported publicly, targeting Q4. Within six months, one leading AI vendor becomes a public company with audited financials while the other stays the most capitalized private AI lab in the world.

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At Google I/O, the AI story changed subject — from capability to price. Gemini 3.5 Flash beats last year's flagship at under half the cost, and this week's Future Bytes News unpacks what that means for every pilot still waiting to become a rollout.

Highlights from the world of AI this week:

• Gemini 3.5 Flash outperforms last generation's flagship at under half the price — the cost-to-deploy calculation just changed. 
• Google launched a complete agent stack at I/O: desktop orchestration, developer tools, personal assistant, and $190B in infrastructure. 
• Agent platform lock-in is replacing model lock-in — Google, Anthropic, and Salesforce all shipped agent infrastructure in the same five days. 
• Anthropic is closing a $30B funding round, making it the most valuable AI startup in the world. 
• The AI roadmap question shifted this week: not "is it good enough?" but "how much will we save when we move?" 

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Claude responded: In five business days, OpenAI launched Deployco and Anthropic rolled Claude across PwC's global workforce, locking in the Big Four and Big Three as named partn…In five business days, OpenAI launched Deployco and Anthropic rolled Claude across PwC's global workforce, locking in the Big Four and Big Three as named partners. The same week, Figure AI's humanoids sorted 101,391 packages over 81 hours with no humans in the loop — collapsing the white-collar and physical-labor AI curves into a single calendar.

What stood out this week? 

• OpenAI launches Deployco, a $4B implementation subsidiary backed by Bain, Capgemini, and McKinsey 
• Anthropic rolls Claude Code and Cowork across PwC's global workforce and signs a $200M Gates Foundation deal 
• Figure AI's humanoid fleet runs 81 hours autonomously, sorting 101,391 packages with no humans in the loop 
• White-collar and physical-labor AI adoption curves converge into a single timeline 

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For this week’s AI News: Three orders of magnitude now separate US, Chinese, and European AI bets. We unpack the week's $700B numbers and the four questions every business leader should bring to their next planning session.

What Stood Out This Week:

• US AI infrastructure spend hit a new scale. The four big hyperscalers reported $130B in combined capex for one quarter, with full-year 2026 tracking above $700B.
• Anthropic raised $65B in five days, then got shut out of the Pentagon. Classified AI contracts went to Amazon, Google, Microsoft, Nvidia, OpenAI, SpaceX, and Reflection.
• China's AI stack is now complete: Own models, own silicon, own buyers.

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For this weeks AI News: Four major AI models launched in five days.

GPT-5.5 went agentic, DeepSeek hit the frontier at one-tenth the price, and Anthropic bet $100 billion on compute. The era of standardizing on one model is over.

Top stories for week 18:

• GPT-5.5 launches as an autonomous agent built to complete tasks, not assist with them
• DeepSeek V4 Pro hits frontier quality at one-tenth the price, on Chinese silicon
• Anthropic signs a $100 billion AWS compute deal and resets API defaults to Opus 4.7
• Google launches Gemini Enterprise, a single runtime for 200+ models including Claude

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PwC just quantified the AI divide: 20% of companies are capturing 74% of the value. Within days, it showed up on a stock chart as Claude Design launched and Figma fell 12%.

Top stories for week 17:

• PwC finds 20% of companies now capture 74% of AI's economic value
• Claude Design launch sends Figma down 12%, deepening the SaaS apocalypse
• Opus 4.7 ships while Mythos stays restricted
• LeCun vs. Amodei clash reframes the jobs debate around re-skilling

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An AI model capable of uncovering thousands of unknown vulnerabilities was built and not released. The decision, and the response from governments, signals a shift: AI is no longer just accelerating innovation, it’s exposing risk at scale.

Top stories for week 16:

• Anthropic withholds a frontier model after discovering large-scale zero-day vulnerabilities
• Thousands of security flaws identified across widely used systems, most still unpatched
• Governments convene emergency meetings to assess systemic AI-driven cybersecurity risks
• Cybersecurity moves to the top of the agenda as AI changes the threat landscape

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One of the world’s most safety-focused AI companies exposed its own source code due to a simple configuration error. The incident points to a broader shift: as AI moves into production, the real challenge is no longer the models themselves, but the governance, processes, and operational maturity around them.  

Top stories for week 15: 

• Anthropic incidents highlight how operational risk can impact even leading AI players 
• Most enterprises are still early in scaling AI agents, with limited visibility and control 
• New solutions emerge to manage agent identity, access, and governance 
• Enterprise platforms accelerate deployment of AI agents across core business workflows 

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We are heading into Easter break with a new episode of Future Bytes News, your weekly updates on AI in business. This time, host, Magnus Oxenwaldt, VP Group AI at Columbus covers these top stories:  

OpenAI abandons a billion-dollar Disney deal to focus on enterprise.

Anthropic advances with AI coworkers and cybersecurity-grade models.

The shift signals that AI is moving from consumer hype to business-critical infrastructure. 

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AI is moving beyond models and into workflows. In this episode, host Magnus Oxenwaldt, take a closer look at OpenClaw’s rapid rise and what it signals about the shift toward agent platforms and orchestration layers. We also explore the gap to enterprise deployment, and what it means for your business and AI strategy.

Highlights from week 13:

·     OpenClaw becomes the most starred project in GitHub history, signaling rapid adoption of AI agents.

·     Value shifts from models to agent layers that connect AI to tools and workflows.

·     Security risks expose the gap between experimental agents and enterprise readiness.

·     Big tech shifts strategy toward platforms, workflows, and AI infrastructure.

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Four companies launched AI coworkers in a single week, all designed to sit alongside the world’s knowledge workers. At the same time, new data from OpenAI co-founder Andrej Karpathy maps which roles are most exposed. Is this where the shift begins? 

Hosted by Magnus Oxenwaldt, VP Group AI at Columbus. 

Highlights week 12: 

• Microsoft, Google, Anthropic and Perplexity launched AI coworkers built for knowledge workers. 
• These systems execute tasks across tools, moving from assistance to workflow automation. 
• New data shows 42% of jobs are highly exposed, especially high-paid, screen-based roles. 
• Enterprise software is being repriced as AI reduces the need for multiple tools and licences. 
• AI vendor choice is becoming a strategic and geopolitical consideration. 

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Trust is becoming a competitive advantage in AI. Claude surged as users switched from ChatGPT, even as OpenAI launched a powerful new model. Magnus Oxenwaldt breaks down why values, portability, and governance are quickly becoming key factors in choosing an AI provider. 

• Claude overtakes ChatGPT in the App Store. 
• OpenAI launches GPT-5.4 with computer-use capabilities. 
• Deloitte warns most companies lack AI agent governance. 
• A lawsuit involving Gemini raises new safety questions. 

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In this episode of Future Bytes, host Magnus Oxenwaldt speaks with Luca Sanitelli, Senior Partner Solutions Engineer, from Shopify about AI-driven discovery, infrastructure and why clean, machine-readable product data is becoming the new competitive edge. 

Links:

Shopify.com

Find Luca´s LinkedIn here

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Accenture now ties promotions to AI tool usage. Anthropic cuts model costs to one-fifth. Every enterprise surveyed plan to expand AI agents. Regulation is moving fast across US states. The risk in 2026 is no longer moving too fast. It’s standing still. 

Highlights for week 9: 

• Accenture ties senior promotions to measurable AI tool usage  
• Anthropic’s Claude Sonnet 4.6 delivers near-flagship capability at one-fifth the former cost. 
• 100% of surveyed enterprises plan to expand agentic AI this year  
• US states advance AI regulation as global adoption accelerates  

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This time, host Magnus Oxenwaldt examines a recent UC Berkeley study that links heavy AI use to rising burnout, as saved time quickly turns into more work. 

A familiar pattern is emerging across industries. Many firms are reducing headcount based on expected AI gains. OpenAI has introduced ads in ChatGPT's free tier. A global safety report calls for layered controls as vendor safety teams shift. The tools work. The real question is how we use them. 

Highlights for week 8: 

• Heavy AI use increases speed but also raises the risk of burnout. 
• Workforce cuts are being made based on expected, not yet proven, AI gains. 
• Ad-supported AI models introduce new incentive questions for enterprises. 
• Safety experts call for layered controls as vendor teams evolve. 

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A simple AI plugin wiped billions off legal tech valuations. Agent platforms moved from demos to production. Apple set a new standard for how software is built. The signal is clear: AI is no longer assisting work. It is starting to do it. 

Host Magnus Oxenwaldt explains the meaning behind the headlines.

Top stories for week 7:

• A Claude contract-review plugin triggered a 10-20% sell-off across major legal software firms. 
• Enterprise AI agents move into production: OpenAI’s Frontier platform lets agents operate across multiple enterprise systems, not inside one app. 
• Apple redefines how software is built. Xcode now supports autonomous AI agents that write, test, and verify code end to end. 
• Models get cheaper and more reliable. New releases focus on sustained work with lower compute, cutting usage costs for businesses. 
• Voice AI becomes a serious channel 
• Anthropic commits to subscriptions only. OpenAI begins testing ads. Incentives now matter. 

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Microsoft CEO Satya Nadella has said that business applications will eventually “collapse into agents”. In this episode of Future Bytes, Magnus Oxenwaldt speaks with Fredrik Sætre, who owns a Global Black Belt for Microsoft Autonomous AI ERP, about what that shift really means. Not in theory, but in practice. Especially for ERP. 

Highlights from the episode: 

• ERP is not disappearing. The interface is. 
• Agents sit on top of deterministic financial systems. 
• ERP is harder than CRM. Mistakes affect money, tax, and compliance. 
• The real constraint is adoption, not technology. 

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Earnings from Meta, Microsoft and Apple revealed a shift in AI strategy. Markets rewarded clear returns and questioned vague impact. In this episode, host Magnus Oxenwaldt explains why AI investment now lives or dies on proof.

Highlights for week 6:

• Markets now demand clear AI returns, not long-term narratives.
• Meta showed a direct revenue impact from AI. Others struggled to do the same.
• IBM’s AI growth is driven mainly by implementation, not models or tools.
• Many AI “agents” lack real autonomy, increasing the risk of failed projects.

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AI moved from promise to proof. At Davos, leaders stopped counting pilots and started demanding impact. Budgets are holding. Returns are not. In this episode, Magnus Oxenwaldt breaks down what that shift means for AI roadmaps in 2026.

Davos signalled a shift, and other key take-aways:

• AI budgets are stable. Measurable impact is not. The gap is now the core challenge.
• Centralised AI centres of excellence deliver significantly higher returns than ad hoc deployments.
• The AI tooling market is fragmenting. Best-of-breed matters more than vendor loyalty.
• Vendor incentives are changing. Governance models need to keep up.

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Welcome to this week's AI News and the return of our weekly AI briefings for 2026. Listen in to hear host Magnus Oxenwaldt reflections about Apple's decision to use Google's Gemini instead of building its own models, and what it means for your AI strategy.

Highlights: 

• Apple licenses AI models instead of building them 
• Google’s Gemini gains unprecedented global scale 
• AI models move toward commodity status 
• Integration and experience become the defensible layer 

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Welcome to our end-of-year episode of Future Bytes with co-host Jade Emmanuel, Senior Data & AI Consultant at Columbus UK.

In this episode, we'll revisit insights from our most popular episodes this year. We'll share predictions for AI in business and wrap up by answering questions from listeners.

Thank you for following along. We can't wait to continue the conversation in 2026.

Happy New Year from all of us!

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In the final AI News by Future Bytes episode of the year, Magnus Oxenwaldt highlights what no longer moves the market. New model releases are landing quietly. Performance gaps are narrowing. The centre of gravity in enterprise AI is shifting.

• Model releases lose impact: Google’s Gemini 3 Flash launched with little reaction, reflecting how GPT, Gemini and Claude now sit within statistical distance for most business use cases.
• Workflows become portable: Anthropic opened “skills” as an open standard, allowing AI workflows to move across models and tools.
• Cloud players diversify exposure: Amazon is reportedly in talks to invest in OpenAI while already backing Anthropic.
• Platforms converge: Shared protocols, app marketplaces and autonomous research agents signal a more interoperable enterprise AI stack.

See you next year!

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AI is approaching an inflection point. Magnus Oxenwaldt speaks with Columbus CEO Søren Krogh about what this moment means for leadership. Which experiences shaped Søren’s approach to technology and leadership?

This conversation reflects a thoughtful approach to leadership in the AI era. Not about having all the answers, but about sound judgement. Knowing when to go deep, when to trust others, and how to stay focused amid the noise. The emphasis is practical and human. Real value over impressive demos. Empathy and responsibility as steady guides in a time of rapid change.

“For me, AI is possibilities," Krogh says.

• AI as a leadership question, not a technology project
• Turning possibilities into prioritised action
• What responsible, modern AI leadership looks like inside organisations

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This week’s AI News by Future Bytes covers two stories that reveal where enterprise AI is heading. Major AI providers formed a foundation to set standards for agent communication. OpenAI released GPT-5.2 after an internal “code red”. The focus is shifting from models to orchestration.

Top stories this week - cooperation vs. competition:

• OpenAI, Microsoft, Google, Amazon and others formed the Agentic AI Foundation to create open standards for how AI agents communicate.
• OpenAI released GPT-5.2, fast-tracked after Google Gemini and Anthropic gained ground, highlighting the limits of benchmark comparisons.

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OpenAI issued a real "code red" as Google and Anthropic closed in. Gemini’s surge and Claude’s gains tightened the race, signalling a maturing market and rising pressure on enterprises.

– "Competition is working. Prices are falling. Capabilities are converging. For buyers, that’s the best news possible,” host Magnus Oxenwaldt says,

Top stories for week 50:

·  OpenAI declared code red as Google and Anthropic closed the gap, forcing Sam Altman to pause multiple upcoming projects.

·  Google launched Gemini 3 Pro and its new DeepThink reasoning tier, prompting Geoffrey Hinton to say Google may now overtake OpenAI.

·  Anthropic struck a $200M Snowflake partnership and is exploring an IPO, positioning itself as the enterprise AI stack.

·  New data shows the enterprise deployment gap widening, with Microsoft missing internal AI sales targets and only 5% of AI projects scaling beyond pilots.

·  With GPT, Gemini and Claude converging on benchmarks, enterprise value now hinges more on integration with existing data infrastructure than raw model performance.

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Three major AI models launched this week: Google’s Gemini 3, Anthropic’s Claude Opus 4.5, and OpenAI’s GPT-5.1 Codex Max. Each lead in a different area, and the gap between benchmarks and real-world performance is widening. 

The bigger shift? AI is moving into specialisation across the entire stack. Microsoft is betting on being the orchestration hub. Google is leaning on vertical integration. And the market is fragmenting faster than expected. 

Top stories this week:

• Google, Anthropic and OpenAI all launched new models this week, each claiming leadership in a different area. 
• Benchmarks diverge from real-world experience — developers still prefer certain models for how they reason and solve edge cases. 
• AI is shifting toward specialisation: voice, image, coding, and text handled by different best-in-class services. 
• Microsoft positions itself as the orchestration hub with Foundry and its investments in Anthropic and OpenAI. 
• Google’s vertical stack and potential sale of TPU chips to Meta show a market that is fragmenting, not consolidating. 

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This week, the EU postponed its core AI rules by sixteen months, pushing them into 2027. But while regulators slowed down, technology accelerated. At the same time, Microsoft and Google introduced tools that let anyone build autonomous agents, automate workflows, and create apps through simple conversation. Hyper-automation moved into the mainstream. Regulation fell even further behind. And enterprises now face a widening governance gap they will have to close themselves.

Top stories this week:

1. EU delays high-risk AI rules to 2027–2028, leaving a long regulatory gap.
2. Microsoft and Google push no-code agents mainstream, letting anyone build automations.
3. Hyper-automation accelerates, with agents now able to write and validate their own code.
4. Enterprise adoption spikes: 99% of developers build agents; 40% of big firms deploy them this year.
5. Governance falls behind, forcing companies to build their own internal AI controls.

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This week, something unexpected happened. Warren Buffett, the investor who avoided tech hype for 20 years, just bought $4.9 billion worth of Alphabet shares. 

At the same time: 

• Analysts warn the AI economy may already resemble the dot-com bubble 
• Nvidia is hitting record highs while AI infrastructure spending explodes 
• Most enterprises still report no measurable ROI from AI 
• Sub-prime winner Michael Burry is betting against AI infrastructure companies 

So, what’s real? A bubble? A breakthrough? 

Or both at the same time? 

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After years of intense startup work and long-haul flights, a doctor told Lars Tvede to take a year off. He moved to the Swiss mountains to rest. Instead, he ended up starting two new companies. He simply couldn't help it. It is what makes him happy.

That instinct hasn't changed. Today, Tvede is behind Supertrends, a platform that uses AI to help businesses make better predictions about the future. In this episode, host Magnus Oxenwaldt dives into the philosophy behind Supertrends. We also talk about reinventing the media with an AI-powered news and insights platform built around "breaking views" rather than breaking news.

If you want to understand where technology is heading, this conversation is worth listening to.

Key ingsights:

·     Supertrends monitors 5,000 publications daily in 40 languages, tracking 4,000 technology predictions

·     The AI system now handles work that previously required 160 human experts

·     China remains the biggest challenge – Tvede calls it his greatest blind spot for emerging tech

·     New venture “Project Y” aims to launch an AI-powered media company in Denmark

Links mentioned in the podcast:

www.supertrends.com

www.projecty.dk

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AI in business is moving from the cloud to the real world: With humanoid robots entering the market at enterprise-software price points, robotics is no longer just for factories. Magnus Oxenwaldt explores what that means for 2027 budget planning: from SAP’s integration of robots into enterprise systems to the rise of remote robot operators in retail.  

This week's top stories for AI in business:  

• 1X Technologies opens pre-orders for NEO, a $20,000 humanoid robot. A price that makes robotics accessible beyond manufacturing.  
• SAP integrates humanoid robots directly into its warehouse management system, signalling physical automation’s entry into enterprise software.  
• Figure AI robots now run full shifts at BMW plants, while Amazon hits one million deployed robots across 300 sites.  
• Microsoft warns of GPU power shortages as physical AI multiplies cloud demand, and Google plans orbital AI data centres by 2027.  
• The strategic takeaway: digital transformation now has two tracks, software automation and physical automation. It’s time to plan for both.  

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Something shifted this week. OpenAI’s Sam Altman revealed their internal target: a fully automated AI researcher by March 2028. That’s 29 months away, and big tech is already moving as if it’s real. 

This week’s takeaways: 

• Tech giants are reallocating capital for a 2028 AGI milestone 

• Infrastructure bets: 10–30 GW in AI compute by OpenAI & NVIDIA 

• Job cuts signal a pivot from people to machine-driven R&D 

• OpenAI planning IPO ahead of AGI moment — valuation timing matters 

• Businesses should model two AI futures: slow vs accelerated 

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This week, the AI industry received a major dose of realism from OpenAI co-founder Andrej Karpathy. Speaking on the race towards artificial general intelligence (AGI), Karpathy said we’re still a decade away from seeing it work as intended, calling today’s AI agents ‘slop’. For businesses that have held back on their AI investments, fearing that AGI might soon render their efforts obsolete, Karpathy’s comments flip that logic on its head. If AGI is ten years out, the excuse for waiting disappears.

Top stories this week:

·       Claude adds long-term memory, enabling models to recall user projects and preferences across sessions.

·       Google’s Willow chip achieves quantum advantage, running algorithms 13,000× faster than the top supercomputer.

·       Anthropic signs a $40 billion TPU deal with Google, securing compute capacity for the AI decade.

·       Oracle launches an AI agent marketplace, while Microsoft opens an Agent Store.

·       DeepSeek unveils OCR models compressing context windows by 10×, and GPT-5 sets new SWE-Bench and AIME benchmarks.

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This week, enterprise AI stopped being optional. AI is now part of the system, not a tool you choose. “October 15th wasn’t the day AI got better. It was the day the industry removed every excuse you had for not adopting it,” host Magnus Oxenwaldt says. In this week’s AI News by Future Bytes, he breaks down how these moves are reshaping business, productivity and competition. 

Top stories this week:

• AI just became the default. It’s now built into Windows, Microsoft 365, and the tools you already use.
• The excuses are gone. Infrastructure, cost, and integration barriers disappeared overnight.
• Free isn’t free. Bundled AI means platform lock-in and long-term dependence.
• The game moved fast. Early adopters are already compounding their advantage while others are still “exploring use cases.”

Questions or feedback? Reach out to julie.malvik@columbusglobal.com 

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China just became the world’s largest AI market. While the US bans Chinese tools, researchers still collaborate. Europe talks sovereignty but relies on both sides.

“Fear just became bigger than geopolitics. The AI race isn’t about who wins. It’s about whether humanity can build intelligence safely."

Top stories this week:

• China overtakes the US with 195 million AI users

• DeepSeek builds powerful models on restricted chips

• US bans Chinese AI tools, yet research ties remain

• Europe’s AI sovereignty meets economic reality

• OpenAI, Anthropic and Microsoft tighten platform control

Got questions or want to share your thoughts? Reach out to producer julie.malvik@columbusglobal.com or directly to Magnus Oxenwaldt at magnus.oxenwaldt@columbus.com.

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This week on AI news by Future Bytes, host Magnus Oxenwaldt breaks down how OpenAI’s latest moves, Sora 2 and Instant Checkout, signal a shift from apps to AI platforms. TikTok, Google, and even your own website could be next. Welcome to the platform trap.

Top stories:

• Sora 2’s launch turns AI-generated video into social media, reaching the US App Store’s top spot overnight. 
• ChatGPT adds Instant Checkout, enabling shopping, payments, and product search, all without leaving the app. 
• The rise of the “platform trap”. Every major AI company is building its own closed ecosystem for work, commerce, and creativity. 
• Meta’s Business AI connects 700 million consumers with always-on sales agents across all Meta platforms. 
• Microsoft’s Agent Mode boosts Copilot accuracy and brings fully autonomous AI agents into everyday productivity tools. 
• Salesforce’s Agentforce aims for one billion agents by 2025, extending AI into every customer touchpoint. 
• Google fights to protect $273 billion in ad revenue as users turn to AI assistants instead of search. 
• The open web is at risk. Businesses that fail to integrate with AI ecosystems could disappear from the customer journey entirely. 

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Stay ahead. Each week, host Magnus Oxenwaldt, breaks down the top AI stories and what they mean for your business. 

Top stories this week: 

• Nvidia + OpenAI $100B: Partnership to build 10GW of AI data centres for the $500B “Stargate Project” – a scale bigger than some nations’ power use. 
• CoreWeave hits $22.4B: Specialist cloud wins with fastest GPU access. 
• Oracle raises $15B: Debt fuels the AI infrastructure race. 
• 90% using AI: Tech staff adopt tools daily, often without approval. 
• AI’s double edge: Cancer detection breakthrough – but also synthetic virus design. UN moves on governance. 

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AI moves fast! But don’t worry, we’ve got you covered. AI News by Future Bytes brings you the most important AI news for business in just 10 minutes a week. The biggest shifts, the smartest moves, and the practical takeaways you need to stay ahead. Hosted by Magnus Oxenwaldt, AI Director at Columbus.

Top stories this week:

• Oracle bets $300B on AI compute: transforming from laggard to infrastructure powerhouse.
• Microsoft adds Anthropic’s Claude to 365 Copilot: giving enterprises new options and a multimodal moat.
• Reproducible AI breakthrough from Thinking Machine Labs: making AI predictable enough for mission-critical use.
• Apple & Meta hardware race: real-time translation AirPods and AR glasses signal a new era of AI interaction.

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Any transformation takes courage, whatever the technology. “It’s about reimagining possibilities, using data and imagination to drive change, and showing every stakeholder what’s in it for them,” says Ian Kingstone, Business Transformation Advisor at Columbus.

“When people align early on what ‘good’ looks like and can see their role in achieving it, they start pulling the change rather than having it pushed onto them,” he says.

In transformations involving AI, management often chases cost efficiencies. Kingstone says those will come — but if you really want a competitive edge, you need to be bold and growth-oriented.

“The organisations that win won’t just copy; they’ll imagine new possibilities. That requires aligned mindsets and a clear vision. AI can be abstract and hard to visualise, so you need experimentation, testing, and learning. Be brave!”

Reach out to Ian Kingstone on LinkedIn at: linkedin.com/in/iankingstone.

Got questions or want to share your thoughts? Reach out to producer julie.malvik@columbusglobal.com or directly to Magnus Oxenwaldt at magnus.oxenwaldt@columbus.com.

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AI isn’t here to replace you. It’s here to work with you. In this episode, Magnus Oxenwaldt looks at what it means to have AI as part of the team. From mindset shifts to structural change: what needs to change in how we think, work, and organise? Tune in for practical insights on welcoming your next digital teammate.

Got questions or want to share your thoughts? Reach out to producer julie.malvik@columbusglobal.com or directly to Magnus Oxenwaldt at magnus.oxenwaldt@columbus.com.

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How can manufacturers actually get value from AI?

In this episode, Magnus is joined by Toby Mankertz, Manufacturing Industry Director for Strategy & Change at Columbus. They explore how automation and AI can complement each other—and what needs to happen before you even begin. From cleaning up your data and aligning your processes to using agentic AI for smarter maintenance and production, it’s all packed into this episode.

Do your processes reflect how work is actually done? Tune in to find out more.

Get in touch with Toby at: Toby.Mankertz@columbusglobal.com.

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In this episode of Future Bytes, host Magnus Oxenwaldt introduces “the shift”. A fundamental change in how businesses adopt and interact with AI-driven technologies. This isn’t just another tech trend. Rather than simply upgrading software, the shift redefines how systems connect and how people and machines collaborate. It’s transforming how we work, think, compete, and do business.

"The shift is when I stop telling software what to do and start discussing what we should do together," Magnus explains.

The episode explores six areas of change and what they mean for different industries. Yes, it can feel overwhelming, but it’s also a real opportunity. The question is: how will you respond?

Got questions or want to share your thoughts? Reach out to producer julie.malvik@columbusglobal.com or directly to Magnus Oxenwaldt at magnus.oxenwaldt@columbus.com.

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Big business impact from simple conversations.

Creating "aha moments": This time, host Magnus Oxenwaldt is joined by Espen Strømme, Head of Strategy & Growth at Columbus Norway, to talk about value-first mindset, why simple conversations can drive big business impact and how a people-focused leadership can make all the difference. Tune in for simple, sharp advice for leaders navigating change.

Got questions or want to share your thoughts? Reach out to Magnus at magnus.oxenwaldt@columbus.com or Espen at espen.stromme@columbusglobal.com

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