Tech With Tim proves no-code AI can rip through business data like a beast—no devs needed, just pure hustle. Total power move for creators! What's your data-crunching hack?

Gartner surveyed 782 enterprise AI leaders and found something most vendors will not put in their pitch decks: only 28% of AI projects actually deliver ROI. The rest either fail outright or limp along delivering half-working results.

Gartner''s own channel just released a framework that explains why. The video breaks AI business outcomes into three categories - and only one of them maps to what most CFOs actually track.

ROI is the obvious one: dollars in versus dollars out. Most organisations measure this and stop. But Gartner argues the real strategic leverage comes from two others. ROE - return on experimentation - measures what you learn from projects that fail fast but inform the next bet. ROF - return on flexibility - tracks how quickly your AI infrastructure can pivot when the market shifts.

Here is the uncomfortable implication. If you are only tracking ROI, you are optimising your AI programme for a metric that the data shows 72% of projects will not hit. You need all three frameworks to decide intelligently where to invest, where to kill, and where to double down.

The question every business leader should ask after watching this: Are you measuring your AI programme with one metric when the right framework requires three?

- Priya Sharma

IBM CEO Arvind Krishna walked onto the Masters of Scale stage this week and told founders something most AI vendors will not say aloud: Your Year 1 AI ROI will almost certainly be negative.

That is not pessimism. That is data. IBM is tracking $5 billion in cumulative efficiency gains against a 2022 baseline — but getting there meant accepting an upfront loss, redesigning workflows from the ground up, and treating Year 1 as an infrastructure investment, not a returns play.

Krishna''s framework is simple. Year 2 is where the 10x returns show up — but only for organisations that stop bolting AI onto broken processes and start reimagining the work itself. He calls it day zero thinking, and most enterprises never get there because their CFO kills the project before the compounding begins.

The episode also makes a case against the foundation model arms race. IBM is betting on AI orchestration — stitching models together into agentic workflows — not building bigger language models. That is a contrarian bet worth watching.

Here is the hard question for every business leader watching: Are you measuring your AI programme on a one-year horizon when the real returns do not materialise until year two?

— Priya Sharma

OKAY, FOLKS. Google just dropped Gemini Omni Flash -- and this is NOT your daddy''s AI video generator. Zero-point-twelve dollars per video. Under 20 seconds. HD output. Let that sink in. Every single ''AI video is too expensive'' excuse? Gone. Vaporized. Meanwhile ByteDance dropped Seedance 2.5 with 4K 30-second clips, Kling 3.0 Turbo is out with native audio, and xAI''s Grok Imagine 1.5 is cooking up image-to-video with sound. The AI video war is ON. And here''s what nobody''s saying loud enough: the barrier to entry just collapsed. Not ''will collapse.'' Collapsed. Past tense. You can now generate pro-quality video for pocket change in seconds. That changes everything -- creators, small businesses, journalists, YOU. This video walks through Google Flow, the free tool that lets you actually USE Omni Flash. No hype, just the walkthrough. Watch it. Learn it. Start using it. Because in six months, if you are not using AI video tools, you will be explaining why you are still doing things the hard way. Full breakdown at the link. Go make something. Share it. Let us see what y''all create.

Enterprise Tech Talk just published a deep dive that cuts through the agentic AI hype and gets to the question every business leader should be asking in mid-2026: how do you scale agentic workflows without your costs scaling with them?

The video breaks down the difference between the 5% of enterprises seeing real returns from agentic deployments and the 95% still stuck in pilot purgatory. The hard truth is that context, memory, and orchestration are the bottlenecks — not model capability. Most of you have the models. You do not have the architecture.

The most painful metric cited? Salesforce Agentforce hit $540 million ARR with 18,500 customers reporting an average ROI of 171 percent. That is not aspirational — that is production. And yet most enterprises are still treating agentic workflows as an experiment rather than an operating model shift.

Where is your enterprise on that curve? Are you building engineering foundations for autonomous agents, or are you just layering another tool into a fragmented stack?

— Priya Sharma

Samsung and SK Hynix just announced a combined $1.3 trillion investment plan for new AI chip fabs in South Korea. This is the single largest semiconductor bet in history -- and it signals that Asia isn''t just participating in the AI race, they are building the physical infrastructure to dominate it. For business leaders watching closely, the message is unmistakable: the hardware layer of AI is where the real economic value is being forged, and Korea is staking its claim.

Have you ever had a brilliant creative idea but no way to turn it into actual marketing materials? That is where Runway Agent 2.0 changes everything. Just launched this week, this tool lets you go from a simple prompt to fully realized campaign assets without a design degree or a big budget. Agent 2.0 works like a creative partner who never sleeps. You describe your goal in plain language, and it handles the heavy lifting: generating marketing briefs, creating visuals, even adapting your content for different platforms and audiences. It is multimodal, so you can work with text, images, and video all in one conversation. The real magic is how it lowers the barrier for everyday creators. Small business owners, content creators, and anyone who has ever needed professional-looking materials can now produce them in minutes instead of days. The partnership between your creative vision and the tools execution power is the superpower here. If you have been curious about bringing AI into your creative workflow, this is a perfect place to start. Watch the official launch video, then pick one project you have been putting off and see what it can create.

An Oracle executive walked onto a stage in Sofia today and told a room full of executives something most AI vendors will not say aloud: ROI does not come from buying more tools.

Peter Baltadjiev, Executive and CS Board Chair at Oracle, joined Marina Tsekova on the Webit 2026 stage for a 17-minute reality check on enterprise AI — and it is exactly the kind of analysis every business leader needs right now.

The thesis is brutally simple. Most enterprises are still deploying AI as a technology purchase rather than an operating model transformation. That distinction — not the choice of model or cloud provider — is what separates the 5% that see real returns from the 95% stuck in the pilot graveyard.

The video covers the structural shift from hype to measurable impact: how to build a strategy that moves past proof-of-concept paralysis, what meaningful ROI metrics actually look like, and why the gap between "AI assists my team" and "AI runs the workflow" is the single biggest strategic differentiator this year.

Here is what I keep coming back to after watching this. When an Oracle board chair says the average enterprise is still in Year 1 of what McKinsey calls a multi-year compounding curve, it is worth asking yourself honestly: are you building genuine capability, or just adding to your SaaS stack?

Watch the full session from Webit 2026 and ask yourself the hard questions about your own AI strategy. The market will sort the real from the hype faster than you think.

— Priya Sharma

Alex Hormozi just dropped a no-nonsense breakdown on how to actually use AI in your business this year. No fluff, no hype — just a practical roadmap for entrepreneurs and operators who want real ROI.

He cuts through the noise on what actually works: where AI replaces busywork, where it amplifies your best people, and where most businesses are wasting money on tools they don''t need. If you''ve been drowning in AI tool demos and wondering what actually moves the needle, this 15-minute video is the reality check you need.

The bottom line? The businesses winning with AI in 2026 are the ones that treat it as a leverage multiplier, not a magic wand. The rest are still paying for subscriptions they barely use.

Watch it, take notes, then pick ONE workflow this week to automate. That is where the real ROI lives.

— Priya Sharma

Every week, I get asked the same question by business owners: where do I even start with AI?

Alex Hormozi lays it out simply in this video — and that simplicity is exactly why most people miss it. His core message: stop using AI to do dumb things faster. Strategy first, tools second.

The most practical takeaway for any business leader? Walk into a traditional business, observe for free, and come back with an AI plan that saves them at least $100,000. Performance-based, zero risk for the client, and in 2026 this approach works because most businesses still do not know what to do with AI.

Here is what I want you to take from this video:
1. Start with the problem, not the tool. Identify your biggest cost centres — support, data entry, content production.
2. Measure before you automate. If you cannot quantify the baseline, you cannot prove the ROI.
3. Use AI to multiply output, not just reduce cost. Drafting, personalisation, and automation compound over time.

Hormozi says AI will never be worse than it is right now. The improvement curve is that steep. The businesses that win in 2026 are the ones building their AI muscle today, even imperfectly.

Watch the full breakdown and ask yourself: what is one process in my business that AI could handle better than a human?

-- Priya Sharma

ROI analysis: Nate Herk put Claude Code through a systematic 30-day stress test and documented four upgrades that 3x''d his income. The critical insight most business owners miss -- Claude isnt a productivity shortcut, its a revenue system when you apply the right decision gates: build, verify, kill, or scale. 87K views in 3 days proves this framework hits where it matters. Full breakdown on Sylt.ing.

A24 just took $75 MILLION from Google DeepMind to build AI filmmaking tools and the indie film world is LOSING IT.

Look, I get it. A24 is the gold standard for indie cinema — Everything Everywhere All At Once, The Whale, Moonlight. And now they are teaming up with the same company whose AI overview told people to eat rocks? The irony is THICK.

But here is what nobody wants to say out loud: the indie purists screaming "sellout" are missing the point. AI filmmaking tools are coming whether A24 signs a check or not. The question is — do you want actual artists shaping how those tools get built, or do you want soulless tech bros deciding what "AI cinema" looks like? If A24 can keep their creative soul while pushing the tech in a direction that serves storytellers instead of replacing them, this could actually be the right call.

Of course, fans are revolting on social media right now. Some are calling it the end of indie cinema as we know it. But let us be real for a second — A24 did not take $75M to fire their writers. They took it to BUILD tools. There is a difference.

THIS WEEK''S OTHER BOMBSHELLS (all in this video):
- Europe just blinked: pushing back the AI Act''s toughest rules to Dec 2027. Translation: regulators caved to Big Tech pressure. Again.
- OpenAI burned $3.7 BILLION in ONE QUARTER. Projecting $14B in annual losses. That is not a business — that is a burn rate that would make 1999 dot-com CEOs blush.
- Oracle crashed 19% — worst week since the 2001 dot-com bust. The AI hype train is hitting some speed bumps.
- India racing to build sovereign AI after US ordered Anthropic to cut them off. This is what tech colonialism looks like — and India is not having it.

If you are as fired up as I am, watch this breakdown and then hit the share button. Because these stories are moving FAST and the mainstream media is barely covering any of it.